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Diagnostics, Volume 11, Issue 8 (August 2021) – 217 articles

Cover Story (view full-size image): Medical laboratories have evolved massively over the past few decades. However, focusing mainly on intra-laboratory processes, laboratories slowly degenerated into a sole supplier of test results. It is time that laboratory specialists start providing their vast expertise in test selection and interpretation in order to contribute to optimal patient care. As the amount of data which need to be processed exceeds human capacity, the aid of artificial intelligence systems is inevitably needed. However, care needs to be taken with regard to their risks, benefits, requirements, and limitations. View this paper
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8 pages, 4409 KiB  
Case Report
Focal Myocarditis after Mild COVID-19 Infection in Athletes
by Ivana P. Nedeljkovic, Vojislav Giga, Marina Ostojic, Ana Djordjevic-Dikic, Tamara Stojmenovic, Ivan Nikolic, Nenad Dikic, Olga Nedeljkovic-Arsenovic, Ruzica Maksimovic, Milan Dobric, Nebojsa Mujovic and Branko Beleslin
Diagnostics 2021, 11(8), 1519; https://doi.org/10.3390/diagnostics11081519 - 23 Aug 2021
Cited by 6 | Viewed by 3824
Abstract
COVID-19 infection in athletes usually has a milder course, but in the case of complications, myocarditis and even sudden cardiac death may occur. We examined an athlete who felt symptoms upon returning to training after asymptomatic COVID-19 infection. Physical, laboratory, and echocardiography findings [...] Read more.
COVID-19 infection in athletes usually has a milder course, but in the case of complications, myocarditis and even sudden cardiac death may occur. We examined an athlete who felt symptoms upon returning to training after asymptomatic COVID-19 infection. Physical, laboratory, and echocardiography findings were normal. The cardiopulmonary exercise test was interrupted at submaximal effort due to severe dyspnea in the presence of reduced functional capacity in comparison to previous tests. Cardiac magnetic resonance (CMR) detected the focal myocarditis. After three months of recovery, CMR still revealed the presence of focal myocarditis and the persistence of decreased functional capacity. This case raises the question of screening athletes even after asymptomatic forms of COVID-19 infection. Full article
(This article belongs to the Topic Long-Term Health Monitoring with Physiological Signals)
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<p>Resting ECG: sinus rhythm, heartrate = 95/min, AxQRS + 70, narrow QRS complex, R/S in leads D2, D3, aVF, r/S in leads V2, V3 with unifocal premature ventricular contraction with left bundle branch block morphology.</p>
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<p>Baseline ECG before the cardiopulmonary test: sinus rhythm, heartrate = 80/min, AxQRS + 70, narrow QRS complex, R/S in leads D2, D3, aVF, r/S in leads V2, V3 without signs of hypertrophy.</p>
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<p>Electrocardiogram during cardiopulmonary test: sinus tachycardia, heartrate = 166/min, AxQRS + 70, narrow QRS complex, R/S in leads D2, D3, aVF, r/S in leads V2, V3 with unifocal premature ventricular complexes with left bundle branch block morphology. Ambulatory 24-h ECG monitoring recorded 1535 PVCs and several episodes of trigeminia.</p>
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<p>Cardiac magnetic resonance. (<b>a</b>) Four-chamber view ten minutes from the application of gadolinium with detection of the late gadolinium enhancement in the mid-lateral left ventricular wall. (<b>b</b>) Myocardial mapping (four-chamber view) showed elevated T1 signals of the mid-lateral left ventricular wall, with the enhancement of the adjacent pericardium also confirming the presence of pericarditis.</p>
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<p>Control cardiac magnetic resonance three months after COVID-19 infection. (<b>a</b>) Persistence of late gadolinium enhancement in the basal and mid-lateral left ventricular wall. (<b>b</b>) Control CMR mapping detected increased values of postcontrast T2 subepicardial in the basal and medial part of the LV lateral wall in terms of myocarditis sequelae. The focal involvement of the pericardium along the lateral wall of the left ventricle can also be seen.</p>
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29 pages, 2602 KiB  
Review
Framing Cause-Effect Relationship of Acute Coronary Syndrome in Patients with Chronic Kidney Disease
by Mădălina Ioana Moisi, Simona Gabriela Bungau, Cosmin Mihai Vesa, Camelia Cristina Diaconu, Tapan Behl, Manuela Stoicescu, Mirela Mărioara Toma, Cristiana Bustea, Cristian Sava and Mircea Ioachim Popescu
Diagnostics 2021, 11(8), 1518; https://doi.org/10.3390/diagnostics11081518 - 23 Aug 2021
Cited by 22 | Viewed by 5841
Abstract
The main causes of death in patients with chronic kidney disease (CKD) are of cardiovascular nature. The interaction between traditional cardiovascular risk factors (CVRF) and non-traditional risk factors (RF) triggers various complex pathophysiological mechanisms that will lead to accelerated atherosclerosis in the context [...] Read more.
The main causes of death in patients with chronic kidney disease (CKD) are of cardiovascular nature. The interaction between traditional cardiovascular risk factors (CVRF) and non-traditional risk factors (RF) triggers various complex pathophysiological mechanisms that will lead to accelerated atherosclerosis in the context of decreased renal function. In terms of mortality, CKD should be considered equivalent to ischemic coronary artery disease (CAD) and properly monitored. Vascular calcification, endothelial dysfunction, oxidative stress, anemia, and inflammatory syndrome represents the main uremic RF triggered by accumulation of the uremic toxins in CKD subjects. Proteinuria that appears due to kidney function decline may initiate an inflammatory status and alteration of the coagulation—fibrinolysis systems, favorizing acute coronary syndromes (ACS) occurrence. All these factors represent potential targets for future therapy that may improve CKD patient’s survival and prevention of CV events. Once installed, the CAD in CKD population is associated with negative outcome and increased mortality rate, that is the reason why discovering the complex pathophysiological connections between the two conditions and a proper control of the uremic RF are crucial and may represent the solutions for influencing the prognostic. Exclusion of CKD subjects from the important trials dealing with ACS and improper use of the therapeutical options because of the declined kidney functioned are issues that need to be surpassed. New ongoing trials with CKD subjects and platelets reactivity studies offers new perspectives for a better clinical approach and the expected results will clarify many aspects. Full article
(This article belongs to the Section Pathology and Molecular Diagnostics)
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<p>Flow chart on the selection process of bibliographic sources included in this article.</p>
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<p>Consequences of the complex interaction between traditional CVRF and non-traditional RF specific to the uremic environment. VLDL—very low-density lipoproteins, HDL—high-density lipoproteins, A-V—atrioventricular.</p>
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<p>Pathophysiological mechanisms of vascular calcification—the role of inhibitors and promoters in CKD. Legend: BMP—Bone morphogenetic proteins; MGP—Gla matrix protein.</p>
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<p>Pathophysiology of the accelerated atherosclerosis process in patients with ESRD.</p>
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13 pages, 1088 KiB  
Article
Prediction Model for Tumor Budding Status Using the Radiomic Features of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Cervical Cancer
by Gun Oh Chong, Shin-Hyung Park, Shin Young Jeong, Su Jeong Kim, Nora Jee-Young Park, Yoon Hee Lee, Sang-Woo Lee, Dae Gy Hong, Ji Young Park and Hyung Soo Han
Diagnostics 2021, 11(8), 1517; https://doi.org/10.3390/diagnostics11081517 - 23 Aug 2021
Cited by 8 | Viewed by 2617
Abstract
Objective: To compare the radiomic features of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and intratumoral heterogeneity according to tumor budding (TB) status and to develop a prediction model for the TB status using the radiomic feature of 18F-FDG [...] Read more.
Objective: To compare the radiomic features of F-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and intratumoral heterogeneity according to tumor budding (TB) status and to develop a prediction model for the TB status using the radiomic feature of 18F-FDG PET/CT in patients with cervical cancer. Materials and Methods: Seventy-six patients with cervical cancer who underwent radical hysterectomy and preoperative 18F-FDG PET/CT were included. We assessed the status of intratumoral budding (ITP) and peritumoral budding (PTB) in all available hematoxylin and eosin-stained specimens. Three conventional metabolic parameters and fifty-nine features were extracted and analyzed. Univariate analysis was used to identify significant metabolic parameters and radiomic findings for TB status. The prediction model for TB status was built using 3 machine learning classifiers (random forest, support vector machine, and neural network). Results: Univariate analysis led to the identification of 2 significant metabolic parameters and 12 significant radiomic features according to intratumoral budding (ITB) status. Among these parameters, following multivariate analysis for the ITB status, only compacity remained significant (odds ratio, 5.0047; 95% confidence interval, 1.1636–21.5253; p = 0.0305). Two conventional metabolic parameters and 25 radiomic features were selected by the Lasso regularization, and the prediction model for the ITB status had a mean area under the curve of 0.762 in the test dataset. Conclusion: Radiomic features of 18F-FDG PET/CT were associated with the ITB status. The prediction model using radiomic features successfully predicted the TB status in patients with cervical cancer. The prediction models for the ITB status may contribute to personalized medicine in the management of patients with cervical cancer. Full article
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<p>F-18 fluorodeoxyglucose positron emission tomography/computed tomography radiomic feature selection performed by the least absolute shrinkage and selection operator (Lasso) regularization method. (<b>A</b>) Area under the curve was drawn versus log (λ) by the 5-fold cross-validation. The vertical dotted line defines the optimal λ value. The optimal λ of 0.0012, with log (λ) of −6.7061 was selected; (<b>B</b>) Lasso coefficient profiles of the 48 potential PET features as selected by the <span class="html-italic">t</span>-test. Twenty-seven features were selected with the optimal λ.</p>
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<p>Receiver operating characteristic curves of the prediction models constructed by the random forest, support vector machine, and neural network algorithms using conventional metabolic parameters only (<b>A</b>) and conventional metabolic parameters + radiomic features (<b>B</b>) in the test dataset.</p>
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13 pages, 1151 KiB  
Article
Stability of OCT and OCTA in the Intensive Therapy Unit Setting
by Ella F. Courtie, Aditya U. Kale, Benjamin T. K. Hui, Xiaoxuan Liu, Nicholas I. Capewell, Jonathan R. B. Bishop, Tony Whitehouse, Tonny Veenith, Ann Logan, Alastair K. Denniston and Richard J. Blanch
Diagnostics 2021, 11(8), 1516; https://doi.org/10.3390/diagnostics11081516 - 23 Aug 2021
Cited by 6 | Viewed by 2584
Abstract
To assess the stability of retinal structure and blood flow measures over time and in different clinical settings using portable optical coherence tomography angiography (OCTA) as a potential biomarker of central perfusion in critical illness, 18 oesophagectomy patients completed retinal structure and blood [...] Read more.
To assess the stability of retinal structure and blood flow measures over time and in different clinical settings using portable optical coherence tomography angiography (OCTA) as a potential biomarker of central perfusion in critical illness, 18 oesophagectomy patients completed retinal structure and blood flow measurements by portable OCT and OCTA in the eye clinic and intensive therapy unit (ITU) across three timepoints: (1) pre-operation in a clinic setting; (2) 24–48 h post-operation during ITU admission; and (3) seven days post-operation, if the patient was still admitted. Blood flow and macular structural measures were stable between the examination settings, with no consistent variation between pre- and post-operation scans, while retinal nerve fibre layer thickness increased in the post-operative scans (+2.31 µm, p = 0.001). Foveal avascular zone (FAZ) measurements were the most stable, with an intraclass correlation coefficient of up to 0.92 for right eye FAZ area. Blood flow and structural measures were lower in left eyes than right eyes. Retinal blood flow assessed in patients before and during an ITU stay using portable OCTA showed no systematic differences between the clinical settings. The stability of retinal blood flow measures suggests the potential for portable OCTA to provide clinically useful measures in ITU patients. Full article
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<p>Representative low-power image of the foveal avascular zone (FAZ) area at the superficial vascular plexus, acquired by optical coherence tomography angiography (OCTA) and used to assess retinal perfusion. The FAZ is visible as the dark area in the centre of the scan with the drawn yellow outline.</p>
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14 pages, 9321 KiB  
Article
Observation of Chronic Graft-Versus-Host Disease Mouse Model Cornea with In Vivo Confocal Microscopy
by Shota Shimizu, Shinri Sato, Hiroko Taniguchi, Eisuke Shimizu, Jingliang He, Shunsuke Hayashi, Kazuno Negishi, Yoko Ogawa and Shigeto Shimmura
Diagnostics 2021, 11(8), 1515; https://doi.org/10.3390/diagnostics11081515 - 23 Aug 2021
Cited by 10 | Viewed by 3775
Abstract
Graft-versus-host disease (GVHD) is a major complication after hematopoietic stem cell transplantation (HSCT), and ocular GVHD can cause severe dry eye disease that can lead to visual impairment. Epithelial damage, vascular invasion, corneal fibrosis, and corneal perforation may occur in severe cases. It [...] Read more.
Graft-versus-host disease (GVHD) is a major complication after hematopoietic stem cell transplantation (HSCT), and ocular GVHD can cause severe dry eye disease that can lead to visual impairment. Epithelial damage, vascular invasion, corneal fibrosis, and corneal perforation may occur in severe cases. It is generally accepted that inflammatory cells such as dendritic cells and T cells contribute to this pathological condition. However, it is still unknown what pathological condition occurs on the ocular surface after HSCT, and when. We therefore observed the dynamics of inflammatory cells in the cornea of chronic GVHD (cGVHD) model mice from 1 to 4 weeks after bone marrow transplantation (BMT) by in vivo confocal microscopy (IVCM) and considered the relationship with the pathophysiology of ocular GVHD (tear volume, corneal epithelial damage). In the allogeneic group, neovascularization occurred in all eyes at 1 week after BMT, although almost all vessels disappeared at 2 weeks after BMT. In addition, we revealed that infiltration of globular cells, and tortuosity and branching of nerves in the cornea occurred in both cGVHD mice and human cGVHD patients. Thus, we consider that cGVHD mouse model study by IVCM reproduces the state of ocular GVHD and may contribute to elucidating the pathological mechanism for ocular GVHD. Full article
(This article belongs to the Special Issue Anterior-Segment Optical Coherence Tomography as a Diagnostics Tool)
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<p>Cornea-specific in vivo laser confocal microscopy for mouse: (<b>a</b>) Heidelberg Retina Tomograph 2 Rostock Cornea Module (HRT2-RCM); (<b>b</b>) Mouse fixing device.</p>
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<p>Time course in in vivo confocal microscopy (IVCM) images of cornea of the syngeneic group and allogeneic group: Upper side: (<b>a</b>–<b>d</b>) Representative IVCM images of the syngeneic group every week from 1 to 4 weeks; Lower side: (<b>e</b>–<b>h</b>) Representative IVCM images of the allogeneic group from 1 to 4 weeks, (<b>e</b>) Neovascularization (red circle area), (<b>f</b>–<b>h</b>) Activation of keratocytes (yellow circle area). Scale bar = 500 µm.</p>
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<p>The number of cells in a circle with a diameter of 1000 µm from the center of the cornea in syngeneic group and allogeneic group: (<b>a</b>) The number of dendritic cells of syngeneic group and allogeneic group from 1 to 4 weeks after bone marrow transplantation (BMT); (<b>b</b>) The number of globular cells of syngeneic group and allogeneic group from 1 to 4 weeks after bone marrow transplantation. Data are presented as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05, unpaired Student’s t-test. (<span class="html-italic">n</span> = 3 per group).</p>
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<p>Representative in vivo confocal microscopic corneal images in mice: (<b>a</b>) neovascularization with moving blood cells in the allogeneic group 1 week after bone marrow transplantation (BMT) (arrowhead) and <a href="#app1-diagnostics-11-01515" class="html-app">Supplementary Video S1</a>; (<b>b</b>) dendritic cells with typical branching dendrites in the syngeneic group 3 weeks after bone marrow transplantation (BMT) (arrowhead); (<b>c</b>) small and globular cells in the allogeneic group 4 weeks after BMT (arrowhead); (<b>d</b>) activation of keratocyte in the allogeneic group 4 weeks after BMT; (<b>e</b>) nerve fibers with no abnormality in syngeneic group 4 weeks after BMT (arrowhead); (<b>f</b>) nerve fibers with tortuosity and branching in allogeneic group 4 weeks after BMT (arrowhead). Scale bar = 50 µm.</p>
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<p>Serial changes in cornea of the syngeneic group and allogeneic group: (<b>a</b>) Representative images of corneal fluorescein staining and corneal erosion (arrowhead) Scale bar = 500 µm; (<b>b</b>) Corneal fluorescein staining score; (<b>c</b>) Tear volume. (<span class="html-italic">n</span> = 12 per group, 1week after BMT; <span class="html-italic">n</span> = 9 per group, 2 weeks after BMT; <span class="html-italic">n</span> = 6 per group, 3 weeks after BMT; <span class="html-italic">n</span> = 3 per group, 4 weeks after BMT). Data are presented as mean ± SEM. * <span class="html-italic">p</span> &lt; 0.05, Mann-Whitney U Test.</p>
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<p>Hematoxylin &amp; Eosin staining of cornea from the syngeneic and allogeneic mouse model: (<b>a</b>,<b>b</b>) Syngeneic group at 3 and 4 weeks after bone marrow transplantation; (<b>c</b>,<b>d</b>) Allogeneic group at 3 and at 4 weeks after bone marrow transplantation (black arrowhead, globular cells; black arrow, keratocytes; red arrow, epithelial erosion; *, abnormal regeneration of epithelia). Scale bar = 100 µm.</p>
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<p>Mallory staining (blue) of lacrimal glands indicates fibrotic areas in the syngeneic and allogeneic mouse model: (<b>a</b>,<b>b</b>) Syngeneic group at 3 and 4 weeks after bone marrow transplantation; (<b>c</b>,<b>d</b>) Allogeneic group at 3 and at 4 weeks after bone marrow transplantation. Scale bar = 100 µm.</p>
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<p>Representative IVCM images of cornea in HSCT recipients without GVHD (<b>a</b>) and with GVHD (<b>b</b>,<b>c</b>): (<b>a</b>) nerve fibers with no abnormality in HSCT recipients without GVHD (arrowhead); (<b>b</b>) nerve fibers with tortuosity and branching in HSCT recipients with GVHD (arrowhead); (<b>c</b>) small and globular cells in HSCT recipients with GVHD (arrowhead). Scale bar = 50 µm.</p>
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11 pages, 473 KiB  
Article
Shortening the Time of the Identification and Antimicrobial Susceptibility Testing on Positive Blood Cultures with MALDI-TOF MS
by Ya-Wen Tsai, Ting-Chia Lin, Hsiu-Yin Chou, Huei-Ya Hung, Che-Kim Tan, Li-Ching Wu, I-Jung Feng and Yow-Ling Shiue
Diagnostics 2021, 11(8), 1514; https://doi.org/10.3390/diagnostics11081514 - 23 Aug 2021
Cited by 10 | Viewed by 3082
Abstract
The current processes used in clinical microbiology laboratories take ~24 h for incubation to identify the bacteria after the blood culture has been confirmed as positive and fa further ~24 h to report the results of antimicrobial susceptibility tests (ASTs). Patients with suspected [...] Read more.
The current processes used in clinical microbiology laboratories take ~24 h for incubation to identify the bacteria after the blood culture has been confirmed as positive and fa further ~24 h to report the results of antimicrobial susceptibility tests (ASTs). Patients with suspected bloodstream infection are treated with empiric broad-spectrum antibiotics but delayed targeted antimicrobial therapy. This study aimed to develop a method with a significantly shortened turnaround time for clinical application by identifying the optimal incubation period of a subculture. A total of 188 positive blood culture samples obtained from Nov. 2019 to Aug. 2020 were included. Compared to the conventional 24-h incubation for bacterial identification, our approach achieved 96.1% and 97.4% identification accuracy after shortening the incubation time to 4.5 and 3.5 h for gram-positive (GP) and gram-negative (GN) bacterial samples, respectively. Samples from short-term incubation without any intermediate step or process were directly subjected to analysis with the Phoenix M50 AST. Compared to the conventional disk diffusion AST, the category agreements for GP (excluding Streptococcus spp.), Streptococcus spp., and GN bacterial samples were 91.8%, 97.5%, and 92.7%, respectively. Our approach significantly reduced the average turnaround time from 48 h to 28 h for reporting bacterial identity and decreased average AST from 72 h to 50.3 h compared to the conventional methods. Accordingly, this approach allows a physician to prescribe the appropriate antibiotic(s) ~21.7 h earlier, thereby improving patient outcomes. Full article
(This article belongs to the Section Diagnostic Microbiology and Infectious Disease)
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<p>Identification rates (point estimations and 95% confidence intervals) for (<b>A</b>) Gram-positive and (<b>B</b>) Gram-negative bacteria at different incubation time periods.</p>
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17 pages, 3245 KiB  
Article
IVUS Longitudinal and Axial Registration for Atherosclerosis Progression Evaluation
by Nikos Tsiknakis, Constantinos Spanakis, Panagiota Tsompou, Georgia Karanasiou, Gianna Karanasiou, Antonis Sakellarios, George Rigas, Savvas Kyriakidis, Michael Papafaklis, Sotirios Nikopoulos, Frank Gijsen, Lampros Michalis, Dimitrios I. Fotiadis and Kostas Marias
Diagnostics 2021, 11(8), 1513; https://doi.org/10.3390/diagnostics11081513 - 22 Aug 2021
Cited by 3 | Viewed by 2889
Abstract
Intravascular ultrasound (IVUS) imaging offers accurate cross-sectional vessel information. To this end, registering temporal IVUS pullbacks acquired at two time points can assist the clinicians to accurately assess pathophysiological changes in the vessels, disease progression and the effect of the treatment intervention. In [...] Read more.
Intravascular ultrasound (IVUS) imaging offers accurate cross-sectional vessel information. To this end, registering temporal IVUS pullbacks acquired at two time points can assist the clinicians to accurately assess pathophysiological changes in the vessels, disease progression and the effect of the treatment intervention. In this paper, we present a novel two-stage registration framework for aligning pairs of longitudinal and axial IVUS pullbacks. Initially, we use a Dynamic Time Warping (DTW)-based algorithm to align the pullbacks in a temporal fashion. Subsequently, an intensity-based registration method, that utilizes a variant of the Harmony Search optimizer to register each matched pair of the pullbacks by maximizing their Mutual Information, is applied. The presented method is fully automated and only required two single global image-based measurements, unlike other methods that require extraction of morphology-based features. The data used includes 42 synthetically generated pullback pairs, achieving an alignment error of 0.1853 frames per pullback, a rotation error 0.93° and a translation error of 0.0161 mm. In addition, it was also tested on 11 baseline and follow-up, and 10 baseline and post-stent deployment real IVUS pullback pairs from two clinical centres, achieving an alignment error of 4.3±3.9 for the longitudinal registration, and a distance and a rotational error of 0.56±0.323 mm and 12.4°±10.5°, respectively, for the axial registration. Although the performance of the proposed method does not match that of the state-of-the-art, our method relies on computationally lighter steps for its computations, which is crucial in real-time applications. On the other hand, the proposed method performs even or better that the state-of-the-art when considering the axial registration. The results indicate that the proposed method can support clinical decision making and diagnosis based on sequential imaging examinations. Full article
(This article belongs to the Special Issue Trends and Novelties in Cardiovascular Imaging)
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<p>Sagittal views of an IVUS pullback prior to the sub-sampling of the frames corresponding to the end-diastolic cardiac phase.</p>
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<p>Pre stent IVUS series (left) and post stent IVUS series (right). It is obvious that the two pullbacks differ in length, due to them either having different starting and ending points or some regions of the vessel having been captured multiple times.</p>
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<p>IVUS pullbacks registration pipeline.</p>
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<p>Two corresponding pairs of annotated frames based on the presence of a bifurcation (<b>a</b>,<b>b</b>) and calcification (<b>c</b>,<b>d</b>), which are highlighted with a red box in the images.</p>
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<p>Example of the synthetic data. Blue line is the reference pullback, orange line is the synthetic pullback and green lines indicate the correspondences. (<b>a</b>) Original pullbacks with original 1-1 correspondences, (<b>b</b>) after applying overlapping distortion, (<b>c</b>) after repetition of some frames.</p>
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<p>Boxplots of Mutual Information (MI) similarity metric across patients at all registration stages.</p>
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<p>Longitudinal registration outcome for patient 6.</p>
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<p>Longitudinal registration outcome for patient 18.</p>
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<p>Sagittal vessel view corresponding to the (<b>a</b>) unregistered pullbacks (<b>b</b>) longitudinally registered pullbacks of patient 3. The left image of each subfigure corresponds to the pre-stent deployment pullback, and the right one to the post-stent deployment pullback. The red circles indicate the corresponding parts of the vesels.</p>
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<p>The alignment of a bifurcation can be observed under the marked area. (<b>a</b>) a frame from the first pullback of patient 6, (<b>b</b>) its corresponding frame from the second pullback of patient 6, (<b>c</b>) the axially (2D) registered frame from <a href="#diagnostics-11-01513-f010" class="html-fig">Figure 10</a>b with respect to <a href="#diagnostics-11-01513-f010" class="html-fig">Figure 10</a>a.</p>
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<p>The alignment of the landmarks can be observed under the marked areas. (<b>a</b>) a frame from the first pullback of patient 18, (<b>b</b>) its corresponding frame from the second pullback of patient 18, (<b>c</b>) the axially (2D) registered frame from <a href="#diagnostics-11-01513-f011" class="html-fig">Figure 11</a>b with respect to <a href="#diagnostics-11-01513-f011" class="html-fig">Figure 11</a>a.</p>
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<p>The alignment of the landmarks can be observed under the marked areas. (<b>a</b>) a frame from the first pullback of patient 3, (<b>b</b>) its corresponding frame from the second pullback of patient 3, (<b>c</b>) the axially (2D) registered frame from <a href="#diagnostics-11-01513-f012" class="html-fig">Figure 12</a>b with respect to <a href="#diagnostics-11-01513-f012" class="html-fig">Figure 12</a>a.</p>
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9 pages, 3484 KiB  
Article
Visualization of Forward Light Scatter in Opacified Intraocular Lenses and Straylight Assessment
by Hyeck-Soo Son, Grzegorz Łabuz, Ramin Khoramnia, Timur M. Yildirim, Chul Young Choi, Michael C. Knorz and Gerd U. Auffarth
Diagnostics 2021, 11(8), 1512; https://doi.org/10.3390/diagnostics11081512 - 22 Aug 2021
Cited by 9 | Viewed by 2744
Abstract
Background: Qualitative visualization of forward light scatter and quantitative straylight measurement of intraocular lenses (IOLs). Methods: We analyzed two calcified IOL-explants, the Euromaxx ALI313Y (Argonoptics GmbH) and the LS-312 MF30 (Oculentis BV), one IOL with artificially induced glistenings (PC-60AD, Hoya), and one control [...] Read more.
Background: Qualitative visualization of forward light scatter and quantitative straylight measurement of intraocular lenses (IOLs). Methods: We analyzed two calcified IOL-explants, the Euromaxx ALI313Y (Argonoptics GmbH) and the LS-312 MF30 (Oculentis BV), one IOL with artificially induced glistenings (PC-60AD, Hoya), and one control (CT Asphina 409MP, Carl Zeiss Meditec AG) free of any opacification. Analysis included light microscopy, qualitative light scatter visualization using ray propagation imaging technique, and quantitative straylight measurement using C-Quant (Oculus). Results: More light scattering effect—visible as increased light intensity outside the IOL’s main focus—was evident in all opacified IOLs than the control. The highest straylight levels were observed in the Euromaxx (289.71 deg2/sr), which showed extensive granular deposits throughout its optic, followed by the MF30 (78.58 deg2/sr), which only showed opacification in its center. The glistenings-IOL demonstrated numerous microvacuoles within the optic and had straylight levels of 22.6 deg2/sr, while the control showed the lowest straylight levels (1.7 deg2/sr). Conclusions: Ray propagation imaging technique allowed qualitative assessment of off-axis veils of light that result from increased forward light scattering. Straylight was increased in all opacified lenses compared to the clear control lens. The IOL opacifications are significant sources of glare. Full article
(This article belongs to the Section Pathology and Molecular Diagnostics)
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<p>Experimental set-up for direct visualization of the light scattering effects. (<b>A</b>) Schematic illustration, (<b>B</b>) in vitro optical bench set-up. To elaborate, 1 = monochromatic green laser light source (532 nm); 2 = model cornea; 3 = intraocular lens holder; 4 = surgical microscope with an integrated digital camera; and 5 = water bath containing 0.01% fluorescein solution.</p>
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<p>Gross microscopic images of the studied IOLs. (<b>A</b>–<b>D</b>) Overview images, (<b>E</b>–<b>H</b>) images taken with 4-fold magnification, (<b>I</b>–<b>L</b>) images taken with 40-fold magnification.</p>
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<p>Ray propagation (<b>A</b>) and light scattering (<b>B</b>) of the control IOL. The arrow indicates the focal point of the studied IOL, while the arrowhead points to the scatter light made visible as background haze when the ray propagation image is converted to a log image.</p>
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<p>Ray propagation (<b>A</b>) and light scattering (<b>B</b>) of the glistenings-IOL. The arrow indicates its focal point, while the arrowhead points to its extent of scatter light.</p>
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<p>Ray propagation and light scattering of the calcified LS-312 MF30 (<b>A</b>,<b>B</b>) and Euromaxx (<b>C</b>,<b>D</b>) IOL-explants. The arrows indicate the focal point, while the arrowheads point to the scatter light.</p>
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<p>Straylight parameter of the studied IOLs measured by the C-Quant device. The results are compared to the normative values of a 20-year-old crystalline lens, 70-year-old crystalline lens, and a cataract lens [<a href="#B23-diagnostics-11-01512" class="html-bibr">23</a>,<a href="#B24-diagnostics-11-01512" class="html-bibr">24</a>].</p>
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10 pages, 657 KiB  
Article
Mouth Washing Impaired SARS-CoV-2 Detection in Saliva
by Monique Melo Costa, Nicolas Benoit, Hervé Tissot-Dupont, Matthieu Million, Bruno Pradines, Samuel Granjeaud and Lionel Almeras
Diagnostics 2021, 11(8), 1509; https://doi.org/10.3390/diagnostics11081509 - 22 Aug 2021
Cited by 5 | Viewed by 2829
Abstract
Background: A previous study demonstrated the performance of the Salivette® (SARSTEDT, Numbrecht, Germany) as a homogeneous saliva collection system to diagnose COVID-19 by RT-qPCR, notably for symptomatic and asymptomatic patients. However, for convalescent patients, the corroboration of molecular detection of SARS-CoV-2 in [...] Read more.
Background: A previous study demonstrated the performance of the Salivette® (SARSTEDT, Numbrecht, Germany) as a homogeneous saliva collection system to diagnose COVID-19 by RT-qPCR, notably for symptomatic and asymptomatic patients. However, for convalescent patients, the corroboration of molecular detection of SARS-CoV-2 in paired nasopharyngeal swabs (NPS) and saliva samples was unsatisfactory. Objectives: The aim of the present work was to assess the concordance level of SARS-CoV-2 detection between paired sampling of NPSs and saliva collected with Salivette® at two time points, with ten days of interval. Results: A total of 319 paired samples from 145 outpatients (OP) and 51 healthcare workers (HW) were collected. Unfortunately, at day ten, 73 individuals were lost to follow-up, explaining some kinetic missing data. Due to significant waiting rates at hospitals, most of the patients ate and/or drank while waiting for their turn. Consequently, mouth washing was systematically proposed prior to saliva collection. None of the HW were diagnosed as SARS-CoV-2 positive using NPS or saliva specimens at both time points (n = 95) by RT-qPCR. The virus was detected in 56.3% (n = 126/224) of the NPS samples from OP, but solely 26.8% (n = 60/224) of the paired saliva specimens. The detection of the internal cellular control, the human RNase P, in more than 98% of the saliva samples, underlined that the low sensitivity of saliva specimens (45.2%) for SARS-CoV-2 detection was not attributed to an improper saliva sample storing or RNA extraction. Conclusions: This work revealed that mouth washing decreased viral load of buccal cavity conducting to impairment of SARS-CoV-2 detection. Viral loads in saliva neo-produced appeared insufficient for molecular detection of SARS-CoV-2. At the time when saliva tests could be a rapid, simple and non-invasive strategy to assess large scale schoolchildren in France, the determination of the performance of saliva collection becomes imperative to standardize procedures. Full article
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<p>Comparison of Ct values from NPSs and saliva samples. (<b>A</b>) Ct values from all SARS-CoV-2 positive NPSs (<span class="html-italic">n</span> = 126) and saliva (<span class="html-italic">n</span> = 60) samples were compared using a Mann-Whitney U test (*** <span class="html-italic">p</span> &lt; 0.0001). (<b>B</b>) Paired SARS-CoV-2 positive samples (<span class="html-italic">n</span> = 57), represented by the connecting lines, were compared by a Wilcoxon test (*** <span class="html-italic">p</span> &lt; 0.0001). (<b>C</b>) SARS-CoV-2 Ct values from positive NPS samples found positives (<span class="html-italic">n</span> = 57) or negatives (<span class="html-italic">n</span> = 69) in saliva specimens were compared by a Mann-Whitney U test (*** <span class="html-italic">p</span> &lt; 0.0001). (<b>D</b>) Comparison of human RNase P (HRNP) Ct values from saliva samples between outpatients (OP) collected at D0 (<span class="html-italic">n</span> = 145), D10 (<span class="html-italic">n</span> = 79) and healthcare workers (HW) collected at D0 (<span class="html-italic">n</span> = 51), D10 (<span class="html-italic">n</span> = 44) (<span class="html-italic">p &gt;</span> 0.05, Kruskal-Wallis test). (<b>E</b>) Comparison of human RNase P Ct values between saliva samples with (<span class="html-italic">n</span> = 25) and without (<span class="html-italic">n</span> = 294) water addition (*** <span class="html-italic">p</span> &lt; 0.0001, Mann-Whitney U test). (<b>F</b>) Comparison of human RNase P Ct values between saliva samples collected with Salivettes without water addition, with (<span class="html-italic">n</span> = 265, present work) and without (<span class="html-italic">n</span> = 289, previous study [<a href="#B15-diagnostics-11-01509" class="html-bibr">15</a>]) mouth washing before sampling (*** <span class="html-italic">p</span> &lt; 0.0001, Mann-Whitney U test). Uniquely significant paired comparisons were indicated. Bars represent the median and 95% CI.</p>
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15 pages, 1597 KiB  
Review
A 10-Year Retrospective Review of Prenatal Applications, Current Challenges and Future Prospects of Three-Dimensional Sonoangiography
by Tuangsit Wataganara, Thanapa Rekhawasin, Nalat Sompagdee, Sommai Viboonchart, Nisarat Phithakwatchara and Katika Nawapun
Diagnostics 2021, 11(8), 1511; https://doi.org/10.3390/diagnostics11081511 - 21 Aug 2021
Cited by 5 | Viewed by 2927
Abstract
Realistic reconstruction of angioarchitecture within the morphological landmark with three-dimensional sonoangiography (three-dimensional power Doppler; 3D PD) may augment standard prenatal ultrasound and Doppler assessments. This study aimed to (a) present a technical overview, (b) determine additional advantages, (c) identify current challenges, and (d) [...] Read more.
Realistic reconstruction of angioarchitecture within the morphological landmark with three-dimensional sonoangiography (three-dimensional power Doppler; 3D PD) may augment standard prenatal ultrasound and Doppler assessments. This study aimed to (a) present a technical overview, (b) determine additional advantages, (c) identify current challenges, and (d) predict trajectories of 3D PD for prenatal assessments. PubMed and Scopus databases for the last decade were searched. Although 307 publications addressed our objectives, their heterogeneity was too broad for statistical analyses. Important findings are therefore presented in descriptive format and supplemented with the authors’ 3D PD images. Acquisition, analysis, and display techniques need to be personalized to improve the quality of flow-volume data. While 3D PD indices of the first-trimester placenta may improve the prediction of preeclampsia, research is needed to standardize the measurement protocol. In highly experienced hands, the unique 3D PD findings improve the diagnostic accuracy of placenta accreta spectrum. A lack of quality assurance is the central challenge to incorporating 3D PD in prenatal care. Machine learning may broaden clinical translations of prenatal 3D PD. Due to its operator dependency, 3D PD has low reproducibility. Until standardization and quality assurance protocols are established, its use as a stand-alone clinical or research tool cannot be recommended. Full article
(This article belongs to the Special Issue Application of 3D-Imaging in Diagnosis)
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<p>Fetal assessment with three-dimensional sonoangiography. (<b>a</b>) Vein of Galen aneurysmal malformation of a fetus at 30 weeks of gestation; thick-slice, three-dimensional, high-definition flow (3D HDF). (<b>b</b>) Deep medullary veins of a fetus at 29 weeks of gestation; thick-slice 3D HDF. (<b>c</b>) Diminished vasculatures (arrow) of right lung with primary dysplasia, compared with the left normal lung, in left and right lung of a fetus at 29 weeks of gestation; thick-slice 3D HDF. (<b>d</b>) Primitive hepatic vasculature of a fetus at 22 weeks of gestation; HDLive Silhouette (GE, Milwaukee, WI, USA), thick-slice 3D HDF. (<b>e</b>) Mature hepatic vasculatures of a fetus at 38 weeks of gestation; thick-slice 3D HDF. (<b>f</b>) Confluent vasculatures of hepatic hemangioma of a fetus at 30 weeks of gestation; thick-slice 3D HDF. (<b>g</b>) Complex visceral vasculatures of a fetus at 20 weeks of gestation; thick-slice 3D HDF. (<b>h</b>) Primitive visceral vasculatures of an acardia at 26 weeks of gestation; HDLive Silhouette (GE, Milwaukee, WI, USA), thick-slice, 3D HDF.</p>
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<p>Extra-fetal assessment with three-dimensional sonoangiography. (<b>a</b>) Histogram flow-volume indices of the placenta at 26 weeks of gestation; three-dimensional (3D) power Doppler (PD) with a spherical representation of the entire placental vascular tree. (<b>b</b>) Normal parenchymal vasculatures of the placenta at 24 weeks of gestation; SlowflowHD (GE GmbH, Vienna, Austria). Note the virtual absence of flow in the lake (circle). (<b>c</b>) Confluent parenchymal vasculatures of placenta percreta at 29 weeks of gestation; HDLive Silhouette (GE, Milwaukee, WI, USA), thick-slice, monochrome 3D high-definition flow (HDF). (<b>d</b>) Complicated vasculatures involving the entire thickness of the placenta, with extension to the myometrial–bladder interface of placenta percreta, at 29 weeks of gestation; orthogonal multiplanar 3D HDF. (<b>e</b>) Velamentous umbilical cord insertion at 25 weeks of gestation; thick-slice 3D HDF. Note the transition from coiled umbilical vessels to chorionic vessels with the artery (blue) crossing over the vein (red). (<b>f</b>) Marginal placenta previa at 28 weeks of gestation; HDLive Silhouette (GE, Milwaukee, WI, USA), thick-slice 3D HDF. Note the proximity of the velamentous umbilical cord insertion to the internal cervical os (arrow). (<b>g</b>) Feeding vessels of chorioangioma at 29 weeks of gestation; thick-slice 3D HDF. (<b>h</b>) Parenchymal vasculatures of a normal cervix at 32 weeks of gestation; two-dimensional HDF.</p>
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12 pages, 20546 KiB  
Article
Morphological and Morphometric Characteristics of Anterior Maxilla Accessory Canals and Relationship with Nasopalatine Canal Type—A CBCT Study
by Milica Vasiljevic, Pavle Milanovic, Nemanja Jovicic, Miroslav Vasovic, Dragan Milovanovic, Radisa Vojinovic, Dragica Selakovic and Gvozden Rosic
Diagnostics 2021, 11(8), 1510; https://doi.org/10.3390/diagnostics11081510 - 21 Aug 2021
Cited by 9 | Viewed by 3067
Abstract
This study aimed to evaluate principal morphological and morphometric characteristics of accessory canals (ACs) of the anterior maxilla, as well as to analyze the relationship with nasopalatine canal (NPC) type. The results of our study showed that ACs were observed in almost 50% [...] Read more.
This study aimed to evaluate principal morphological and morphometric characteristics of accessory canals (ACs) of the anterior maxilla, as well as to analyze the relationship with nasopalatine canal (NPC) type. The results of our study showed that ACs were observed in almost 50% of participants. They were mostly presented bilaterally and in a curved shape, with a palatal foramen position. The morphometric characteristics of ACs were significantly influenced by NPC type. NPC type had the strongest impact on the distance between the NPC and AC, as well as on the distance between the AC and the facial aspect of buccal bone wall, in inferior parts of the alveolar ridge. On the other hand, the distance between the AC and central incisors was not significantly influenced by NPC shape in the lower region of the anterior maxilla. However, the participants with the banana-type of the NPC expressed the reduction in distance from the AC to the central incisor at the upper part in comparison with the subjects with the cylindrical-type of the NPC. On the basis of the results of this study, the simultaneous estimation of ACs and the NPC seems reasonable, as this approach may be useful in the prevention of complications which could occur during implant surgery interventions. Full article
(This article belongs to the Special Issue Advances in Anatomy)
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<p>CBCT slices and landmarks of interest. Sagittal cross-section—sagittal CBCT slice (<b>left</b>, <b>upper</b>); slice with marked field of interest (<b>left</b>, <b>bellow</b>); selected landmarks for analyses (<b>right</b>)—(A) the distance between the buccal border of incisive foramen and facial aspect of the buccal bone wall, (B) the distance between the buccal wall of the nasopalatine canal and facial aspect of the buccal bone wall using a horizontal line from the palatal border of the incisive foramen, (C) the distance between the buccal border at the midpoint level of NPC length and facial aspect of the buccal bone wall, (D) the distance between the buccal border of nasal foramen and facial aspect of the buccal bone wall; Axial cross-section—axial CBCT slice (<b>right</b>); (a) the diameter of AC, (b) the distance between AC and NPC, (c) the distance between AC and facial aspect of the buccal bone wall, (d) the distance between AC and central incisor root.</p>
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<p>CBCT slices and marks of interest. Accessory canal shapes at the coronal cross-section (<b>upper</b>); red marks define ACs shapes at the coronal cross-section (<b>below</b>).</p>
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<p>Maximal diameter of accessory canal at different levels of anterior maxilla according to NPC shape. Values are expressed as the mean ± SEM.</p>
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<p>The distance of accessory canal from NPC at different levels of anterior maxilla according to NPC shape. Values are expressed as the mean ± SEM. * denotes a significant difference of <span class="html-italic">p</span> &lt; 0.05, ** denotes a significant difference of <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>The distance of accessory canal from facial aspect of the buccal bone wall at different levels of anterior maxilla according to NPC shape. Values are expressed as the mean ± SEM. * denotes a significant difference of <span class="html-italic">p</span> &lt; 0.05, ** denotes a significant difference of <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>The distance of accessory canal from central incisor at different levels of anterior maxilla according to NPC shape. Values are expressed as the mean ± SEM. ** denotes a significant difference of <span class="html-italic">p</span> &lt; 0.01.</p>
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20 pages, 4696 KiB  
Article
Deep Learning Analysis of In Vivo Hyperspectral Images for Automated Intraoperative Nerve Detection
by Manuel Barberio, Toby Collins, Valentin Bencteux, Richard Nkusi, Eric Felli, Massimo Giuseppe Viola, Jacques Marescaux, Alexandre Hostettler and Michele Diana
Diagnostics 2021, 11(8), 1508; https://doi.org/10.3390/diagnostics11081508 - 21 Aug 2021
Cited by 20 | Viewed by 3651
Abstract
Nerves are critical structures that may be difficult to recognize during surgery. Inadvertent nerve injuries can have catastrophic consequences for the patient and lead to life-long pain and a reduced quality of life. Hyperspectral imaging (HSI) is a non-invasive technique combining photography with [...] Read more.
Nerves are critical structures that may be difficult to recognize during surgery. Inadvertent nerve injuries can have catastrophic consequences for the patient and lead to life-long pain and a reduced quality of life. Hyperspectral imaging (HSI) is a non-invasive technique combining photography with spectroscopy, allowing non-invasive intraoperative biological tissue property quantification. We show, for the first time, that HSI combined with deep learning allows nerves and other tissue types to be automatically recognized in in vivo hyperspectral images. An animal model was used, and eight anesthetized pigs underwent neck midline incisions, exposing several structures (nerve, artery, vein, muscle, fat, skin). State-of-the-art machine learning models were trained to recognize these tissue types in HSI data. The best model was a convolutional neural network (CNN), achieving an overall average sensitivity of 0.91 and a specificity of 1.0, validated with leave-one-patient-out cross-validation. For the nerve, the CNN achieved an average sensitivity of 0.76 and a specificity of 0.99. In conclusion, HSI combined with a CNN model is suitable for in vivo nerve recognition. Full article
(This article belongs to the Section Biomedical Optics)
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<p>Automatic tissue recognition visualization: Visualization of automatic tissue recognition results from the CNN (convolutional neural network) model. In each row, we show images from subjects 1–8. From left to right, in columns, we show the RGB image simulated from HS (<b>a</b>), the ground truth classifications from the surgeon (<b>b</b>), the predicted classifications from the CNN (<b>c</b>) and the error map (<b>d</b>). Black pixels in the error map indicate a perfect classification (no error). Colored pixels indicate an incorrect classification, and the color provides the incorrect prediction.</p>
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<p>(<b>a</b>) Standard normal variate (SNV) within the classes: Spectral curve profiles of the tissue classes without and with SNV normalization. Relative absorption is plotted as a function of wavelength for each class. The mean spectral curve is shown as a black solid line, and the curve spread is shown with a gray band of one standard deviation from the mean curve. (<b>b</b>) Standard normal variate (SNV) within the classes: Spectral curve profiles of the tissue classes without and with SNV normalization. Relative absorption is plotted as a function of wavelength for each class. The mean spectral curve is shown as a black solid line, and the curve spread is shown with a gray band of one standard deviation from the mean curve. The metal class has a very large spectral distribution because of specular reflections, with a completely different profile to the tissue classes.</p>
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<p>(<b>a</b>) Standard normal variate (SNV) within the classes: Spectral curve profiles of the tissue classes without and with SNV normalization. Relative absorption is plotted as a function of wavelength for each class. The mean spectral curve is shown as a black solid line, and the curve spread is shown with a gray band of one standard deviation from the mean curve. (<b>b</b>) Standard normal variate (SNV) within the classes: Spectral curve profiles of the tissue classes without and with SNV normalization. Relative absorption is plotted as a function of wavelength for each class. The mean spectral curve is shown as a black solid line, and the curve spread is shown with a gray band of one standard deviation from the mean curve. The metal class has a very large spectral distribution because of specular reflections, with a completely different profile to the tissue classes.</p>
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<p>Mean spectral curves of all classes overlaid in a single plot (<b>left</b> without SNV, <b>right</b> with SNV normalization).</p>
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<p>Schematic representation of hyperspectral (HS)-based tissue class recognition: Illustration of the general tissue recognition problem with HS image data. The core task is to recognize the tissue type at a given spatial location within an HS image. A sub-volume is extracted at the spatial location with a small spatial window, which is passed to the predictive machine learning model. Predictive scores are then automatically generated for each tissue class. Finally, the class with the highest predictive score is selected.</p>
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<p>Convolutional neural network architecture: The input is an HSI sub-volume centered on a given pixel, with 5 × 5 spatial dimensions and 100 wavelength dimensions. Down-sampling convolutional operations are applied to transform the input to a final 1D feature space vector, which is followed by a final fully connected layer to produce the tissue prediction scores.</p>
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<p>Confusion matrices: predictive performance of 4 different models visualized as confusion matrices.</p>
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<p>Receiver operator characteristic curves: Receiver operator characteristic curves for the four models. In each figure, we plot the ROC curves for one model for all classes.</p>
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<p>Performance of the four classification models in terms of Dice similarity coefficient (DSC) (<b>top</b>), sensitivity (<b>middle</b>) and specificity (<b>bottom</b>). Error bars represent 1 standard error. Brackets with * and ** denote statistical significance at <span class="html-italic">p</span> &lt; 0.05 and &lt;0.01 respectively.</p>
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12 pages, 968 KiB  
Article
Watch and Wait Approach for Rectal Cancer Following Neoadjuvant Treatment: The Experience of a High Volume Cancer Center
by Daniela Rega, Vincenza Granata, Carmela Romano, Valentina D’Angelo, Ugo Pace, Roberta Fusco, Carmela Cervone, Vincenzo Ravo, Fabiana Tatangelo, Antonio Avallone, Antonella Petrillo and Paolo Delrio
Diagnostics 2021, 11(8), 1507; https://doi.org/10.3390/diagnostics11081507 - 21 Aug 2021
Cited by 13 | Viewed by 4015
Abstract
Multimodal treatments for rectal cancer, along with significant research on predictors to response to therapy, have led to more conservative surgical strategies. We describe our experience of the rectal sparing approach in rectal cancer patients with clinical complete response (cCR) after neoadjuvant treatment. [...] Read more.
Multimodal treatments for rectal cancer, along with significant research on predictors to response to therapy, have led to more conservative surgical strategies. We describe our experience of the rectal sparing approach in rectal cancer patients with clinical complete response (cCR) after neoadjuvant treatment. We also specifically highlight our clinical and imaging criteria to select patients for the watch and wait strategy (w&w). Data came from 39 out of 670 patients treated for locally advanced rectal cancer between January 2016 until February 2020. The selection criteria were a clinical complete response after neoadjuvant chemotherapy managed with a watch and wait (w&w) strategy. A strict follow-up period was adopted in these selected patients and follow-ups were performed every three months during the first two years and every six months after that. The median follow-up time was 28 months. Six patients had a local recurrence (15.3%); all were salvageable by total mesorectal excision (TME). Five patients had a distant metastasis (12.8%). There was no local unsalvageable disease after w&w strategy. The rectal sparing approach in patients with clinical complete response after neoadjuvant treatment is the best possible treatment and is appropriate to analyze from this perspective. The watch and wait approach after neoadjuvant treatment for rectal cancer can be successfully explored after inflexible and strict patient selection. Full article
(This article belongs to the Special Issue Diagnosis and Management of Rectal Cancer)
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<p>Scheme of groups compositions in this study. The following acronyms are used: clinical complete response (cCR), total mesorectal excision (TME), watch and wait (W&amp;W), local excision (LE).</p>
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13 pages, 1263 KiB  
Article
Development and Evaluation of a Set of Spike and Receptor Binding Domain-Based Enzyme-Linked Immunosorbent Assays for SARS-CoV-2 Serological Testing
by Rosa Camacho-Sandoval, Alejandro Nieto-Patlán, Gregorio Carballo-Uicab, Alejandra Montes-Luna, María C. Jiménez-Martínez, Luis Vallejo-Castillo, Edith González-González, Hugo Iván Arrieta-Oliva, Keyla Gómez-Castellano, Omar U. Guzmán-Bringas, María Pilar Cruz-Domínguez, Gabriela Medina, Laura A. Montiel-Cervantes, Maricela Gordillo-Marín, Roberto Vázquez-Campuzano, Belem Torres-Longoria, Irma López-Martínez, Sonia M. Pérez-Tapia and Juan Carlos Almagro
Diagnostics 2021, 11(8), 1506; https://doi.org/10.3390/diagnostics11081506 - 20 Aug 2021
Cited by 11 | Viewed by 3941
Abstract
The implementation and validation of anti-SARS-CoV-2 IgG serological assays are reported in this paper. S1 and RBD proteins were used to coat ELISA plates, and several secondary antibodies served as reporters. The assays were initially validated with 50 RT-PCR positive COVID-19 sera, which [...] Read more.
The implementation and validation of anti-SARS-CoV-2 IgG serological assays are reported in this paper. S1 and RBD proteins were used to coat ELISA plates, and several secondary antibodies served as reporters. The assays were initially validated with 50 RT-PCR positive COVID-19 sera, which showed high IgG titers of mainly IgG1 isotype, followed by IgG3. Low or no IgG2 and IgG4 titers were detected. Then, the RBD/IgG assay was further validated with 887 serum samples from RT-PCR positive COVID-19 individuals collected at different times, including 7, 14, 21, and 40 days after the onset of symptoms. Most of the sera were IgG positive at day 40, with seroconversion happening after 14–21 days. A third party conducted an additional performance test of the RBD/IgG assay with 406 sera, including 149 RT-PCR positive COVID-19 samples, 229 RT-PCR negative COVID-19 individuals, and 28 sera from individuals with other viral infections not related to SARS-CoV-2. The sensitivity of the assay was 99.33%, with a specificity of 97.82%. All the sera collected from individuals with infectious diseases other than COVID-19 were negative. Given the robustness of this RBD/IgG assay, it received approval from the sanitary authority in Mexico (COFEPRIS) for production and commercialization under the name UDISTEST-V2G®. Full article
(This article belongs to the Section Diagnostic Microbiology and Infectious Disease)
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<p>Characterization of the RBD protein. The RBD protein was expressed in HEK 293 cell cultures and purified on a HisTrap™ Nickel column; two fractions were obtained. (<b>A</b>) Native SEC analysis evinced that Fraction 1 (RBD F1; black line) was mainly composed of a ~100 kDa protein and Fraction 2 (RBD F2; blue line) by a ~30 kDa protein, which may correspond to the trimer and monomer of the RBD protein, respectively. (<b>B</b>) Fraction 2 also exhibits the main band at ~30 kDa when analyzed in denaturing SDS-PAGE using two reducing agents (BME and DTT). Fraction 2 was used for the rest of the work.</p>
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<p>Absorbance values of the 15 negative and 15 positive COVID-19 samples were used to standardize the (<b>A</b>) S1- and (<b>B</b>) RBD-based IgG assays. Each absorbance value in the plots is the average of six measurements: two sets of triplicates, with one set of triplicates performed one day, and another set of triplicates performed on a different day.</p>
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<p>(<b>A</b>) S1 and (<b>B</b>) RBD test results of the 50 serum samples. Three dilutions (1:100, 1:1000, and 1:3000) per serum sample were assayed. Each data point is the average of duplicates.</p>
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<p>IgG isotyping using (<b>A</b>) S1- and (<b>B</b>) RBD-based tests. IgG: total IgG. Red squares represent negative controls. All serum samples were assayed at a 1:100 dilution.</p>
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<p>IgG seroconversion of COVID-19 RT-PCR positive patients evaluated with UDITEST-V2G<sup>®</sup>. Serum samples from COVID-19 RT-PCR positive patients were evaluated on day 7, 14, 21, and 40 after the onset of symptoms. Positive and negative IgG samples are shown. **** <span class="html-italic">p</span> &lt; 0.0001 student <span class="html-italic">t</span>-test.</p>
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10 pages, 6951 KiB  
Article
Magnetic Resonance Detects Structural Heart Disease in Patients with Frequent Ventricular Ectopy and Normal Echocardiographic Findings
by Raffaele Scorza, Anders Jansson, Peder Sörensson, Mårten Rosenqvist and Viveka Frykman
Diagnostics 2021, 11(8), 1505; https://doi.org/10.3390/diagnostics11081505 - 20 Aug 2021
Cited by 4 | Viewed by 2953
Abstract
The prognosis of patients with ventricular ectopy and a normal heart, as evaluated by echocardiography, is virtually unknown. Cardiac magnetic resonance (CMR) can detect focal ventricular anomalies that could act as a possible site of origin for premature ventricular contractions (PVCs). The aim [...] Read more.
The prognosis of patients with ventricular ectopy and a normal heart, as evaluated by echocardiography, is virtually unknown. Cardiac magnetic resonance (CMR) can detect focal ventricular anomalies that could act as a possible site of origin for premature ventricular contractions (PVCs). The aim of this study was to investigate the presence of cardiac anomalies in patients with normal findings at echocardiogram. Methods: Fifty-one consecutive patients (23 women, 28 men, mean age 59 years) with very high PVC burden (>10,000 PVC/day) and normal findings at standard echocardiography and exercise test were examined with CMR. The outcome was pathologic findings, defined as impaired ejection fraction, regional wall motion abnormalities, abnormal ventricular volume, myocardial edema and fibrosis. Results: Sixteen out of 51 patients (32%) had structural ventricular abnormalities at CMR. In five patients CMR showed impairment of the left ventricular and/or right ventricular systolic function, and six patients had a dilated left and/or right ventricle. Regional wall motion abnormalities were seen in six patients and fibrosis in four. No patient had CMR signs of edema or met CMR criteria for arrhythmogenic right ventricular cardiomyopathy. Five patients had extra-ventricular findings (enlarged atria in three cases, enlarged thoracic aorta in one case and pericardial effusion in one case). Conclusions: In this study 16 out of 51 patients with a high PVC burden and normal findings at echocardiography showed signs of pathology in the ventricles with CMR. These findings indicate that CMR should be considered in evaluating patients with a high PVC burden and a normal standard investigation. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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<p>PVC morphology in 42 patients with PVC recorded on 12-lead ECG.</p>
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<p>Summary of the CMR findings. LV = left ventricle, RV = right ventricle. RWMA = regional wall motion abnormalities.</p>
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<p>CMR image showing fibrosis in the basal inferolateral area of the left ventricle. Below: ECG from the same patient, showing frequent PVCs with a morphology corresponding to the fibrotic area, which is likely to act as site of origin.</p>
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20 pages, 2885 KiB  
Article
The Diagnostic Usefulness of 131I-SPECT/CT at Both Radioiodine Ablation and during Long-Term Follow-Up in Patients Thyroidectomized for Differentiated Thyroid Carcinoma: Analysis of Tissue Risk Factors Ascertained at Surgery and Correlated with Metastasis Appearance
by Angela Spanu, Susanna Nuvoli, Andrea Marongiu, Ilaria Gelo, Luciana Mele, Andrea De Vito, Maria Rondini and Giuseppe Madeddu
Diagnostics 2021, 11(8), 1504; https://doi.org/10.3390/diagnostics11081504 - 20 Aug 2021
Cited by 13 | Viewed by 4093
Abstract
131I Single-photon emission computerized tomography/computerized tomography (SPECT/CT) in the management of patients thyroidectomized for differentiated thyroid carcinoma (DTC) was further investigated. Retrospectively, 106 consecutive DTC patients were enrolled at the first radioiodine ablation, 24 at high risk (H), 61 at low risk [...] Read more.
131I Single-photon emission computerized tomography/computerized tomography (SPECT/CT) in the management of patients thyroidectomized for differentiated thyroid carcinoma (DTC) was further investigated. Retrospectively, 106 consecutive DTC patients were enrolled at the first radioiodine ablation, 24 at high risk (H), 61 at low risk (L) and 21 at very low risk (VL). 131I whole-body scan (WBS) and SPECT/CT were performed after therapeutic doses using a hybrid dual-head gamma camera. At ablation, SPECT/CT correctly classified 49 metastases in 17/106 patients with a significantly (p < 0.001) more elevated number than WBS which evidenced 32/49 foci in 13/17 cases. In this case, 86/106 patients could be monitored in the follow-up including 13/17 cases with metastases already at post-therapeutic scans. SPECT/CT after radioiodine diagnostic doses more correctly than WBS ascertained disease progression in 4/13 patients, stable disease in other 4/13 cases and disease improvement in the remaining 5/13 cases. Further 13/86 patients with only residues at post-therapeutic scans showed at SPECT/CT 16 neck lymph node (LN) metastases, three unclear and 13 occult at WBS. Significant involvement of some tissue risk factors with metastasis appearance was observed, such as minimal extrathyroid tumor extension and neck LN metastases. These risk factors should be carefully considered in DTC patient follow-up where 131I-SPECT/CT routinely use is suggested as a support tool of WBS. Full article
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<p>A 73-y-old male patient (case n. 8, <a href="#diagnostics-11-01504-t003" class="html-table">Table 3</a>), thyroidectomized for thyroid papillary carcinoma, follicular variant, tumor diameter 25 mm, at the first radioiodine ablation. <sup>131</sup>I-WBS after a therapeutic dose, in both anterior (<b>a</b>) and posterior (<b>b</b>) views, showed one radioiodine-avid focus in left hemithorax suspected of metastasis (red arrow). Fused SPECT/CT images in coronal (<b>c</b>), sagittal (<b>d</b>) and transaxial (<b>e</b>) slides confirmed the focus (red arrows) specifying the anatomic site (anterior segment of the superior lobe) and characterizing it as lung metastasis, as also confirmed at CT (<b>f</b>). In addition, fused SPECT/CT images in coronal (<b>g</b>) and transaxial (<b>h</b>) slides evidenced another radioiodine-avid focus (green arrows) in the neck corresponding to a right paratracheal lymph node occult at WBS and classified as metastasis. Thyroglobulin levels in hypothyroidism condition: 1362 ng/mL. AbTg: Absent.</p>
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<p>A 42-y-old male patient (case n. 2, <a href="#diagnostics-11-01504-t003" class="html-table">Table 3</a>), thyroidectomized for papillary carcinoma, tumor diameter 14mm, at the first radioiodine ablation. <sup>131</sup>I-WBS after a therapeutic dose, in both anterior (<b>a</b>) and posterior (<b>b</b>) views, showed two radioiodine-avid foci of different dimension and activity in the median region of the neck (white arrows), better evidenced in anterior view and classified as tissue residues in thyroid bed; moreover, a slightly heterogeneous radioiodine uptake was ascertained in right laterocervical region classified as unclear. Fused SPECT/CT images in coronal (<b>c</b>), sagittal (<b>d</b>) and transaxial (<b>e</b>–<b>g</b>) views evidenced the aforementioned two foci (white arrows) in the thyroid bed confirming the classification as residues. SPECT/CT also identified two further circumscribed foci (red and green arrows) in right laterocervical region, whose uptakes were considered unclear by WBS, classifying these as lymph node metastases, as confirmed by CT (<b>f</b>–<b>h</b>). Thyroglobulin levels in hypothyroidism condition: 29.3 ng/mL. AbTg: absent.</p>
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<p>The same patient described in <a href="#diagnostics-11-01504-f002" class="html-fig">Figure 2</a> (case n. 2, <a href="#diagnostics-11-01504-t003" class="html-table">Table 3</a>) was re-evaluated in the follow-up. WBS in both anterior (<b>a</b>) and posterior (<b>b</b>) views did not show any radioiodine avid foci to consider as residues or malignant lesions. Fused SPECT/CT images in coronal (<b>c</b>) and left (<b>d</b>) and right sagittal (<b>e</b>) views excluded the two malignant foci evidenced in basal condition. However, it identified three new foci, two of which in the left laterocervical region (red and yellow arrows) and another in right laterocervical region, the latter better evidenced in sagittal right view (green arrow) and confirmed by CT (<b>f</b>). These foci were classified as lymph node metastases in disease progression. The patient was treated again with a therapeutic dose of radioiodine. Thyroglobulin levels in hypothyroidism condition: 36 ng/mL. AbTg: absent.</p>
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<p>A 60-y-old female patient (case n. 13, <a href="#diagnostics-11-01504-t004" class="html-table">Table 4</a>) submitted to total thyroidectomy for multifocal-bilateral papillary carcinoma, tumor diameter 15 mm, at the first radioiodine ablation.<sup>131</sup>I-WBS after therapeutic radioiodine dose, in both anterior (<b>a</b>) and posterior (<b>b</b>) views evidenced two radioiodine-avid foci of different activity in the median region of the neck classified as tissue residues. Fused SPECT/CT images in transaxial slides (<b>c</b>,<b>d</b>) also identified the two foci evidenced by WBS confirming residual origin. Both WBS and SPECT/CT excluded the presence of foci doubtful of malignant lesions. Thyroglobulin levels in hypothyroidism condition: 4.2 ng/mL. AbTg: absent.</p>
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<p>The same female patient described in <a href="#diagnostics-11-01504-f004" class="html-fig">Figure 4</a> (case n. 13, <a href="#diagnostics-11-01504-t004" class="html-table">Table 4</a>) was also evaluated during follow-up. <sup>131</sup>I-WBS after diagnostic dose of radioiodine in both anterior (<b>a</b>) and posterior (<b>b</b>) views did not evidence the residue foci ascertained at the exam performed after therapeutic dose and excluded the presence of other foci doubtful of malignant lesions. Fused SPECT/CT images in coronal (<b>c</b>), sagittal (<b>d</b>) and transaxial (<b>e</b>) slides did not evidence the two foci classified as residues at the previous exam during ablation. However, SPECT/CT identified two new foci, one in right laterocervical region (<b>e</b>, red arrow) and the other in right supraclavicular region (<b>g</b>, green arrow), both of these occult at WBS. These foci, confirmed at CT (<b>f</b>,<b>h</b>), were classified as lymph node metastases. The patient was treated with a radioiodine therapeutic dose again. Thyroglobulin levels in hypothyroidism condition: 13 ng/mL. AbTg: absent.</p>
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11 pages, 1514 KiB  
Communication
Active MMP-8 Quantitative Test as an Adjunctive Tool for Early Diagnosis of Periodontitis
by Marcela Hernández, Mauricio Baeza, Ismo T. Räisänen, Johanna Contreras, Taina Tervahartiala, Alejandra Chaparro, Timo Sorsa and Patricia Hernández-Ríos
Diagnostics 2021, 11(8), 1503; https://doi.org/10.3390/diagnostics11081503 - 20 Aug 2021
Cited by 20 | Viewed by 4147
Abstract
Periodontitis is a host-mediated bacterial disease that affects the tooth attachment apparatus. Metalloproteinase-8 (MMP-8), a validated biomarker, could aid in clinical diagnosis. This study aimed to evaluate the diagnostic performance of active (a) MMP-8 immunotest versus total (t) MMP-8 ELISA for quantitative real-time [...] Read more.
Periodontitis is a host-mediated bacterial disease that affects the tooth attachment apparatus. Metalloproteinase-8 (MMP-8), a validated biomarker, could aid in clinical diagnosis. This study aimed to evaluate the diagnostic performance of active (a) MMP-8 immunotest versus total (t) MMP-8 ELISA for quantitative real-time diagnosis and assessment of periodontitis severity at the site level. Gingival crevicular fluid (GCF) was sampled from 30 healthy, 42 mild, and 59 severe periodontitis sites from thirty-one volunteers. MMP-8 concentrations were determined by time-resolved immunofluorometric assay (IFMA) and enzyme-linked immunosorbent assay (ELISA). Statistical analysis was performed using the STATA package. Both active and total MMP-8-based methods discriminated among sites according to periodontal diagnosis and severity, with a positive correlation between the two tests (p < 0.001). (a) MMP-8 models showed the best performance in receiver operating characteristic (ROC) curves to discriminate between healthy and periodontitis sites (area under the curve [AUC] = 0.89), while (t) MMP-8 demonstrated a high diagnostic precision in the detection of mild from severe periodontitis sites (AUC ≥ 0.80). The use of (a) MMP-8 and (t) MMP-8 could represent a useful adjunctive tool for periodontitis diagnosis and severity. These results support the applicability of new point-of-care methods in the monitoring of high-risk periodontal patients. Full article
(This article belongs to the Special Issue Dental Peri-Implant Point-of-Care Tests)
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<p>MMP-8 levels in healthy and periodontitis sites. (<b>A1</b>) Active and (<b>A2</b>) total MMP-8 levels by diagnosis. (<b>B1</b>) Active and (<b>B2</b>) total MMP-8 levels by disease periodontitis severity. (a) active; (t) total. * <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Diagnostic potential of MMP-8 tests to identify healthy sites. Diagnostic potential of active metalloproteinase-8 (a) MMP-8, to identify healthy from periodontitis sites, crude (<b>A1</b>) and adjusted (<b>A2</b>) models; diagnostic potential of (t) MMP-8 to identify healthy from periodontitis sites, crude (<b>B1</b>) and adjusted (<b>B2</b>) models; (<b>C</b>) sensitivity, specificity, and cut-off points of (a) MMP-8 and (t) MMP-8 diagnostic potential to identify healthy from periodontitis sites. AUC: area under the curve. CI: confidence interval. (a) MMP-8: active matrix metalloproteinase-8; (t) MMP-8: total matrix metalloproteinase-8. Immp8: IFMA MMP-8; Emmp8: ELISA MMP-8.</p>
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<p>Diagnostic potential of biomarkers to identify severe periodontitis sites. Diagnostic potential of (a) MMP-8 to identify mild from severe periodontitis sites, crude (<b>A1</b>) and adjusted (<b>A2</b>) models; diagnostic potential of (t) MMP-8 to identify mild from severe periodontitis sites, crude (<b>B1</b>) and adjusted (<b>B2</b>) models; (<b>C</b>) sensitivity, specificity and cut-off points of (a) MMP-8 and (t) MMP-8. AUC: area under the curve. CI: confidence interval. (a) MMP-8: active matrix metalloproteinase-8; (t) MMP-8: total matrix metalloproteinase-8. Immp8: IFMA MMP-8; Emmp8: ELISA MMP-8.</p>
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17 pages, 2282 KiB  
Article
A Novel System for Semiautomatic Sample Processing in Chronic Myeloid Leukaemia: Increasing Throughput without Impacting on Molecular Monitoring at Time of SARS-CoV-2 Pandemic
by Stefania Stella, Silvia Rita Vitale, Michele Massimino, Adriana Puma, Cristina Tomarchio, Maria Stella Pennisi, Elena Tirrò, Chiara Romano, Federica Martorana, Fabio Stagno, Francesco Di Raimondo and Livia Manzella
Diagnostics 2021, 11(8), 1502; https://doi.org/10.3390/diagnostics11081502 - 20 Aug 2021
Cited by 1 | Viewed by 2585
Abstract
Molecular testing of the BCR-ABL1 transcript via real-time quantitative-polymerase-chain-reaction is the most sensitive approach for monitoring the response to tyrosine-kinase-inhibitors therapy in chronic myeloid leukaemia (CML) patients. Each stage of the molecular procedure has been standardized and optimized, including the total white blood [...] Read more.
Molecular testing of the BCR-ABL1 transcript via real-time quantitative-polymerase-chain-reaction is the most sensitive approach for monitoring the response to tyrosine-kinase-inhibitors therapy in chronic myeloid leukaemia (CML) patients. Each stage of the molecular procedure has been standardized and optimized, including the total white blood cells (WBCs) and RNA isolation methods. Here, we compare the performance of our current manual protocol to a newly semiautomatic method based on the Biomek i-5 Automated Workstations integrated with the CytoFLEX Flow Cytometer, followed by the automatic QIAsymphony system to facilitate high-throughput processing samples and reduce the hands-on time and the risk associated with SARS-CoV-2. The recovery efficiency was investigated in blood samples from 100 adults with CML. We observe a 100% of concordance between the two methods, with similar total WBCs isolated (median 1.137 × 106 for manual method vs. 1.076 × 106 for semiautomatic system) and a comparable quality and quantity of RNA extracted (median 103 ng/μL with manual isolation kit vs. 99.95 ng/μL with the QIAsymphony system). Moreover, by stratifying patients according to their BCR-ABL1 transcript levels, we obtained similar BCR-ABL1/ABL1IS values and ABL1 copies, and matched samples were assigned to the same group of molecular response. We conclude that this newly semiautomatic workflow has a performance comparable to our more laborious standard manual, which can be replaced, particularly when specimens from patients with suspected or confirmed SARS-CoV-2 infection need to be processed. Full article
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<p><span class="html-italic">Workflow of the study</span>. A total of 4 × 7 mL of peripheral blood was collected by venepuncture in EDTA tubes, with 2 × 7 mL treated by the manual (<b>A</b>) method and 2 × 7 mL processed by a newly semiautomatic (<b>B</b>) method based on the Biomek i-5 Automated Workstations integrated with the CytoFLEX Flow Cytometer. Red cells were removed from matched samples by consecutive treatments of the blood samples with red cell lysis, and 1 × 10<sup>7</sup> of the collected WBCs cells were lysed in RLT buffer. Total RNA was extracted by the manual column-based RNAse Mini Kit or the automatic QIAsymphony extractor system. Quantitative polymerase chain reaction was used to measure <span class="html-italic">BCR-ABL1</span>, <span class="html-italic">ABL1</span> and <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> gene transcripts levels. EDTA tube: EthylenDiaminoTetracetyc Acid tube; RNA: RiboNucleic Acid; Q-PCR: quantitative polymerase chain reaction; cDNA: complementary DeossiNucleic Acid.</p>
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<p><span class="html-italic">Scheme of the Biomek i-5 Automated Workstations <b>(A)</b> integrated with the CytoFLEX Flow Cytometer</span> (<b>B</b>). (<b>A</b>) The figure shows the deck space of the Biomek i-5 Workstation customized in order to isolate total WBCs from PB of CML patients. EDTA tubes (3 mL or 7 mL) are loaded in samples lanes (positions 1 and 2) and blood is transferred to 50 mL tubes placed in the 50 mL tube position (position 3) by an arm inked to a span-8 Pod and using P1000 tips. The dispenser bark tool (position 4) aliquots the lysis buffer and PBS solution. Collected white blood cells are dispensed in a 96-well plate located at the Cytoflex plate position (position 5). (<b>B</b>) The figure depicts a plate Settings window of the CytoFLEX Flow Cytometer employed in the software for cell count analysis. The software allowed selection of the desired acquisition settings and the channels to set compensation and select element to record, including time and volume. Sample names are labelled in the software representing a 96-well plate. The well position on the plate matches the well position selected in the software. A total of 10,000 events are counted and cells are identified using forward and side scatter.</p>
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<p><span class="html-italic">White blood cell isolation efficiency on blood samples processed with the manual and semiautomatic protocols.</span> (<b>A</b>) White blood cells were isolated from 14 mL matched peripheral blood samples of CML patients (N = 100) with a manual method or a newly semiautomatic method based on the Biomek i-5 Automated Workstations integrated with the CytoFLEX Flow Cytometer. Cell counts, expressed as number of cells/mL, were analysed to determine cell recovery efficiency. The number of cells was determined for each method and depicted as boxplots delimited by the 25th (lower) and 75th (upper) percentile. Horizontal lines above and below each boxplot indicate the 5th and 95th percentile, respectively. Thick lines in each boxplot represent number cell median/mL in each method. The Wilcoxon signed-rank test was used to test the difference between the platforms. The symbols ■ and ● indicate the manual and the semiautomatic method, respectively. <span class="html-italic">p</span> value below 0.5 was considered statistical significant. (<b>B</b>) The figure shows the acquisition screen on the CytoFLEX Platform. The CytExpert software includes gates to visualize the distribution of total white cells isolated from blood of CML patient. Cell lives are indicated by the gate and depicted in rose. SSC-A: Side scatter-area; FSC-A: forward scatter-area. (<b>C</b>) The graph is plotted on the XY axis where X represents the difference of the two measurements, and the <span class="html-italic">Y</span>-axis shows the mean of the two measurements. Horizontal lines are drawn at the mean difference between the two methods and the upper and lower limits of agreement. The 95% confidence intervals are shown for the mean and the upper and lower limits of agreement.</p>
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<p><span class="html-italic">Quantitative PCR performance on samples processed with the manual and semiautomatic protocols</span>. Molecular measurement of <span class="html-italic">BCR-ABL1</span> transcripts levels by Q-PCR of matched blood samples processed with a manual or a newly semiautomatic method. <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> had assessed in patients stratified in four groups, each consisting of 25 subjects: Group A (10% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.1%) (<b>A</b>), Group B (0.1% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.01%) (<b>B</b>), Group C (0.01% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.0032%) (<b>C</b>). <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> levels were determined for each method and depicted as boxplots delimited by the 25th (lower) and 75th (upper) percentile. Horizontal lines above and below each boxplot indicate the 5th and 95th percentile, respectively. Thick lines in each boxplot represent median <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> in each patient group. The Wilcoxon signed-rank test was used to test thedifference between the platforms. The symbols ■ and ● indicate the manual and the semiautomatic method, respectively. A <span class="html-italic">p</span> value below 0.5 was considered statistical significant.</p>
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<p><span class="html-italic">Bland–Altman showing the concordance of the BCR-ABL1/ABL1<sup>IS</sup> transcript level measured by manual and semiautomatic methods</span>. Paired measurements of <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> were combined for patients stratified in four groups, each consisting of 25 subjects: Group A (10% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.1%) (<b>A</b>), Group B (0.1% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.01%) (<b>B</b>), Group C (0.01% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.0032%) (<b>C</b>). The graph is plotted on the XY axis where X represents the difference of the two measurements, and the <span class="html-italic">Y</span>-axis shows the mean of the two measurements. Horizontal lines are drawn at the mean difference between the two methods and the upper and lower limits of agreement. The 95% confidence intervals are shown for the mean and the upper and lower limits of agreement.</p>
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<p><span class="html-italic">Measurement of ABL1 control gene on samples processed with the manual and semiautomatic protocols</span>. Molecular measurement of <span class="html-italic">ABL1</span> transcripts levels by Q-PCR of matched blood samples processed with a manual or a newly semiautomatic method. <span class="html-italic">ABL1</span> reference gene copies were measured the four groups of patients stratified, each consisting of 25 subjects: Group A (10% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.1%) (<b>A</b>), Group B (0.1% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.01%) (<b>B</b>), Group C (0.01% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.0032%) (<b>C</b>) and Group D (<span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &lt; 0.0032%) (<b>D</b>). <span class="html-italic">ABL1</span> levels were determined for each method and depicted as boxplots delimited by the 25th (lower) and 75th (upper) percentile. Horizontal lines above and below each boxplot indicate the 5th and 95th percentile, respectively. Thick lines in each boxplot represent median <span class="html-italic">ABL1</span> in each patient group. The Wilcoxon signed-rank test was used to test the difference between the platforms. The symbol ● indicate the manual and the semiautomatic method, respectively. <span class="html-italic">p</span> value below 0.5 was considered statistical significant.</p>
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<p><span class="html-italic">Bland–Altman showing the concordance of the ABL1 level measured by manual and semiautomatic methods.</span> Paired measurements of <span class="html-italic">ABL1</span> were combined for patients stratified in four groups, each consisting of 25 subjects: Group A (10% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.1%) (<b>A</b>), Group B (0.1% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.01%) (<b>B</b>), Group C (0.01% &gt; <span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &gt; 0.0032%) (<b>C</b>) and Group D (<span class="html-italic">BCR-ABL1/ABL1<sup>IS</sup></span> &lt; 0.0032%) (<b>D</b>). The graph is plotted on the XY axis where X represents the difference of the two measurements, and the <span class="html-italic">Y</span>-axis shows the mean of the two measurements. Horizontal lines are drawn at the mean difference between the two methods and the upper and lower limits of agreement. The 95% confidence intervals are shown for the mean and the upper and lower limits of agreement.</p>
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11 pages, 513 KiB  
Article
A Genome-Wide Association Study on Liver Stiffness Changes during Hepatitis C Virus Infection Cure
by Anaïs Corma-Gómez, Juan Macías, Antonio Rivero, Antonio Rivero-Juarez, Ignacio de los Santos, Sergio Reus-Bañuls, Luis Morano, Dolores Merino, Rosario Palacios, Carlos Galera, Marta Fernández-Fuertes, Alejandro González-Serna, Itziar de Rojas, Agustín Ruiz, María E. Sáez, Luis M. Real and Juan A. Pineda
Diagnostics 2021, 11(8), 1501; https://doi.org/10.3390/diagnostics11081501 - 20 Aug 2021
Cited by 2 | Viewed by 2976
Abstract
Liver stiffness (LS) at sustained virological response (SVR) after direct-acting antivirals (DAA)-based therapy is a predictor of liver events in hepatitis C virus (HCV)-infected patients. The study aim was to identify genetic factors associated with LS changes from the moment of starting anti-HCV [...] Read more.
Liver stiffness (LS) at sustained virological response (SVR) after direct-acting antivirals (DAA)-based therapy is a predictor of liver events in hepatitis C virus (HCV)-infected patients. The study aim was to identify genetic factors associated with LS changes from the moment of starting anti-HCV therapy to SVR. This prospective study included HCV-infected patients from the GEHEP-011 cohort who achieved SVR with DAA-based therapy, with LS pre-treatment ≥ 9.5 kPa and LS measurement available at SVR. Plink and Magma software were used to carry out genome-wide single-nucleotide polymorphism (SNP)-based and gene-based association analyses, respectively. The ShinyGO application was used for exploring enrichment in Gene Ontology (GO) categories for biological processes. Overall, 242 patients were included. Median (quartile 1, quartile 3) LS values at pre-treatment and at SVR were 16.8 (12, 28) kPa and 12.0 (8.5, 19.3) kPa, respectively. Thirty-five SNPs and three genes reached suggestive association with LS changes from the moment of starting anti-HCV therapy to SVR. GO categories related to DNA packaging complex, DNA conformation change, chromosome organization and chromatin organization were significantly enriched. Our study reports possible genetic factors associated with LS changes during HCV-infection cure. In addition, our results suggest that processes related to DNA conformation are also involved in these changes. Full article
(This article belongs to the Section Pathology and Molecular Diagnostics)
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<p>Manhattan plot of the GWAS on the percentage of LS changes at SVR. Horizontal lines correspond to of 1 × 10<sup>−5</sup> and 5 × 10<sup>−8</sup> <span class="html-italic">p</span>-values, respectively.</p>
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10 pages, 1034 KiB  
Article
Mitofusin-2 Down-Regulation Predicts Progression of Non-Muscle Invasive Bladder Cancer
by Antonella Cormio, Gian Maria Busetto, Clara Musicco, Francesca Sanguedolce, Beppe Calò, Marco Chirico, Ugo Giovanni Falagario, Giuseppe Carrieri, Claudia Piccoli and Luigi Cormio
Diagnostics 2021, 11(8), 1500; https://doi.org/10.3390/diagnostics11081500 - 20 Aug 2021
Cited by 3 | Viewed by 2101
Abstract
Identification of markers predicting disease outcome is a major clinical issue for non-muscle invasive bladder cancer (NMIBC). The present study aimed to determine the role of the mitochondrial proteins Mitofusin-2 (Mfn2) and caseinolytic protease P (ClpP) in predicting the outcome of NMIBC. The [...] Read more.
Identification of markers predicting disease outcome is a major clinical issue for non-muscle invasive bladder cancer (NMIBC). The present study aimed to determine the role of the mitochondrial proteins Mitofusin-2 (Mfn2) and caseinolytic protease P (ClpP) in predicting the outcome of NMIBC. The study population consisted of patients scheduled for transurethral resection of bladder tumor upon the clinical diagnosis of bladder cancer (BC). Samples of the main bladder tumor and healthy-looking bladder wall from patients classified as NMIBC were tested for Mfn2 and ClpP. The expression levels of these proteins were correlated to disease recurrence, progression. Mfn2 and ClpP expression levels were significantly higher in lesional than in non-lesional tissue. Low-risk NMIBC had significantly higher Mfn2 expression levels and significantly lower ClpP expression levels than high-risk NMIBC; there were no differences in non-lesional levels of the two proteins. Lesional Mfn2 expression levels were significantly lower in patients who progressed whereas ClpP levels had no impact on any survival outcome. Multivariable analysis adjusting for the EORTC scores showed that Mfn2 downregulation was significantly associated with disease progression. In conclusion, Mfn2 and ClpP proteins were found to be overexpressed in BC as compared to non-lesional bladder tissue and Mfn2 expression predicted disease progression. Full article
(This article belongs to the Special Issue Biomarkers and Therapeutic Advances in Bladder Cancer)
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<p>Representative western blotting of Mfn2 and ClpP proteins in bladder tissues. Proteins levels are referred to Actin content (loading control). T, lesional tissue (Tumor); C, adjacent non-lesional tissue (Control). <sup>†</sup>, high-risk NMIBC patients. The grouping of blots is cropped from different parts of the same gel.</p>
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<p>Kaplan–Mayer curves for recurrence, progression, and cancer-specific survival in patients with NMIBC according to down- and upregulation of Mfn2 and ClpP.</p>
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14 pages, 2403 KiB  
Article
Urinary mRNA Expression of Glomerular Podocyte Markers in Glomerular Disease and Renal Transplant
by Silvia Armelloni, Deborah Mattinzoli, Masami Ikehata, Carlo Alfieri, Mirco Belingheri, Gabrilella Moroni, Donata Cresseri, Patrizia Passerini, Roberta Cerutti and Piergiorgio Messa
Diagnostics 2021, 11(8), 1499; https://doi.org/10.3390/diagnostics11081499 - 20 Aug 2021
Cited by 2 | Viewed by 2709
Abstract
The research of novel markers in urinary samples, for the description of renal damage, is of high interest, and several works demonstrated the value of urinary mRNA quantification for the search of events related to renal disease or affecting the outcome of transplant [...] Read more.
The research of novel markers in urinary samples, for the description of renal damage, is of high interest, and several works demonstrated the value of urinary mRNA quantification for the search of events related to renal disease or affecting the outcome of transplant kidneys. In the present pilot study, a comparison of the urine mRNA expression of specific podocyte markers among patients who had undergone clinical indication to renal transplanted (RTx, n = 20) and native (N, n = 18) renal biopsy was performed. The aim of this work was to identify genes involved in podocytes signaling and cytoskeletal regulation (NPHS1, NPHS2, SYNPO, WT1, TRPC6, GRM1, and NEUROD) in respect to glomerular pathology. We considered some genes relevant for podocytes signaling and for the function of the glomerular filter applying an alternative normalization approach. Our results demonstrate the WT1 urinary mRNA increases in both groups and it is helpful for podocyte normalization. Furthermore, an increase in the expression of TRPC6 after all kinds of normalizations was observed. According to our data, WT1 normalization might be considered an alternative approach to correct the expression of urinary mRNA. In addition, our study underlines the importance of slit diaphragm proteins involved in calcium disequilibrium, such as TRPC6. Full article
(This article belongs to the Collection Biomarkers in Medicine)
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<p>Staining of functional molecules in urinary podocytes. GRM1, TRPC6, and NEUROD (<b>A</b>–<b>C</b>) double staining with, respectively, synaptopodin, nephrin, and WT1 (<b>D</b>–<b>F</b>); Merge between A–C and D–F (<b>G</b>–<b>I</b>) cytoplasmic and nuclear podocyte markers were detected in urinary podocytes. DAPI Nuclear staining (blue) shows the absence of apoptosis. Scale bar is 100 µm.</p>
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<p>Cytoskeleton remodelling. Actin detected by phalloidin staining (red) shows different distribution in urinary cells of both N and RTx. WT1 nuclear staining identifies the podocytes (green); Podocyte with actin bundles aligned in the cytoplasm (<b>A</b>,<b>B</b>); other podocytes with altered appearances with round shapes, thickened actin bundles at the cell boundaries, and limited cytoplasmic stress fibers (<b>C</b>,<b>D</b>) DAPI (blue) nuclear staining shows the absence of apoptosis. Scale bar is 100 µm.</p>
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<p>Actin distribution. Stress fibers (red) are visible in podocytes as dorsal, ventral, and transverse arcs (<b>A</b>), or disrupted and distributed along the edge of the cell and poorly expressed in the cytoplasm. (<b>B</b>) Double staining with nuclear podocyte marker WT1 (green) to demonstrate podocyte staining and DAPI (blue) nuclear marker. Scale bar is 100 µm.</p>
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<p>mRNA quantification of urinary cells. mRNA expression was measured in CTR, N, and RTx by RTqPCR, relative to <span class="html-italic">GAPDH</span> and corrected with UC. In the first image top left, the values are expressed as 2<sup>−ΔΔct</sup>/UC as mean ± standard error to display the amount of gene expression in each group of the sample. Differently, in the subsequent histograms, the results are expressed relative to the control group as mean fold expression ± standard error, to compare the groups. Significance * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>RTqPCR normalization for podocyte number. The fold expression of genes normalized with GAPDH was further normalized using the expression of, respectively, <span class="html-italic">NPHS1</span>, <span class="html-italic">SYNPO</span>, and <span class="html-italic">WT1</span>, followed by UC correction. Significance * <span class="html-italic">p</span> &lt; 0.05. <span class="html-italic">p</span>-values (lower figure) obtained by comparison with the CTRL are calculated with two-tailed unpaired <span class="html-italic">t</span>-test.</p>
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14 pages, 4918 KiB  
Article
Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients
by I-Ling Chen, Yen-Jen Wang, Chang-Cheng Chang, Yu-Hung Wu, Chih-Wei Lu, Jia-Wei Shen, Ling Huang, Bor-Shyh Lin and Hsiu-Mei Chiang
Diagnostics 2021, 11(8), 1498; https://doi.org/10.3390/diagnostics11081498 - 19 Aug 2021
Cited by 15 | Viewed by 3729
Abstract
Dark skin-type individuals have a greater tendency to have pigmentary disorders, among which melasma is especially refractory to treat and often recurs. Objective measurement of melanin amount helps evaluate the treatment response of pigmentary disorders. However, naked-eye evaluation is subjective to weariness and [...] Read more.
Dark skin-type individuals have a greater tendency to have pigmentary disorders, among which melasma is especially refractory to treat and often recurs. Objective measurement of melanin amount helps evaluate the treatment response of pigmentary disorders. However, naked-eye evaluation is subjective to weariness and bias. We used a cellular resolution full-field optical coherence tomography (FF-OCT) to assess melanin features of melasma lesions and perilesional skin on the cheeks of eight Asian patients. A computer-aided detection (CADe) system is proposed to mark and quantify melanin. This system combines spatial compounding-based denoising convolutional neural networks (SC-DnCNN), and through image processing techniques, various types of melanin features, including area, distribution, intensity, and shape, can be extracted. Through evaluations of the image differences between the lesion and perilesional skin, a distribution-based feature of confetti melanin without layering, two distribution-based features of confetti melanin in stratum spinosum, and a distribution-based feature of grain melanin at the dermal–epidermal junction, statistically significant findings were achieved (p-values = 0.0402, 0.0032, 0.0312, and 0.0426, respectively). FF-OCT enables the real-time observation of melanin features, and the CADe system with SC-DnCNN was a precise and objective tool with which to interpret the area, distribution, intensity, and shape of melanin on FF-OCT images. Full article
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<p>Block diagram of the proposed computer-aided detection (CADe) system.</p>
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<p>The deep learning architecture of the denoising convolutional neural network (DnCNN).</p>
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<p>Schematic diagram of how to generate low-speckle ground truth images.</p>
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<p>The structure of the spatial compounding-based denoising convolutional neural networks (SC-DnCNN) trained for optical coherence tomography (OCT) denoising.</p>
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<p>Illustration of automatic melanin segmentation in CADe system. (<b>a</b>) Clinical image of the imaged melasma lesions (rectangular) on the cheek. (<b>b</b>) The original <span class="html-italic">en face</span> scan (E-scan) image. (<b>c</b>) The image after SC-DnCNN. (<b>d</b>) The image after performing contrast-limited adaptive histogram equalization (CLAHE). (<b>e</b>) The candidate targets segmented by thresholding. (<b>f</b>) The selected grain melanin after image opening. (<b>g</b>) The selected confetti melanin after morphological operations. The field of view is 475 × 476 µm.</p>
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<p>The performance comparison of CADe with and without SC-DnCNN on the representative lesion images. (<b>a</b>,<b>b</b>) are the input image and the denoised image, respectively, while (<b>c</b>,<b>d</b>) are the output results when superimposing the detected melanin on those images (grain melanin is represented in red, and confetti melanin is represented in yellow), respectively. The field of view is 475 × 476 µm.</p>
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<p>The performance comparison of CADe with and without SC-DnCNN on the perilesional skin images. (<b>a</b>,<b>b</b>) are the input image and the denoised image, respectively, while (<b>c</b>,<b>d</b>) are the output results when superimposing the detected melanin on those images (grain melanin is represented in red, and confetti melanin is represented in yellow), respectively. The field of view is 475 × 476 µm.</p>
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<p>Comparison of melanin appearance between the representative lesion and perilesional skin images in different skin layers displayed by the CADe system. (<b>a</b>–<b>f</b>) are the perilesional skin images and the lesion images in the stratum spinosum, dermal–epidermal junction (DEJ), and papillary dermis, respectively. The field of view is 475 × 476 µm.</p>
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18 pages, 1334 KiB  
Article
Residual-Shuffle Network with Spatial Pyramid Pooling Module for COVID-19 Screening
by Mohd Asyraf Zulkifley, Siti Raihanah Abdani, Nuraisyah Hani Zulkifley and Mohamad Ibrani Shahrimin
Diagnostics 2021, 11(8), 1497; https://doi.org/10.3390/diagnostics11081497 - 19 Aug 2021
Cited by 4 | Viewed by 2763
Abstract
Since the start of the COVID-19 pandemic at the end of 2019, more than 170 million patients have been infected with the virus that has resulted in more than 3.8 million deaths all over the world. This disease is easily spreadable from one [...] Read more.
Since the start of the COVID-19 pandemic at the end of 2019, more than 170 million patients have been infected with the virus that has resulted in more than 3.8 million deaths all over the world. This disease is easily spreadable from one person to another even with minimal contact, even more for the latest mutations that are more deadly than its predecessor. Hence, COVID-19 needs to be diagnosed as early as possible to minimize the risk of spreading among the community. However, the laboratory results on the approved diagnosis method by the World Health Organization, the reverse transcription-polymerase chain reaction test, takes around a day to be processed, where a longer period is observed in the developing countries. Therefore, a fast screening method that is based on existing facilities should be developed to complement this diagnosis test, so that a suspected patient can be isolated in a quarantine center. In line with this motivation, deep learning techniques were explored to provide an automated COVID-19 screening system based on X-ray imaging. This imaging modality is chosen because of its low-cost procedures that are widely available even in many small clinics. A new convolutional neural network (CNN) model is proposed instead of utilizing pre-trained networks of the existing models. The proposed network, Residual-Shuffle-Net, comprises four stacks of the residual-shuffle unit followed by a spatial pyramid pooling (SPP) unit. The architecture of the residual-shuffle unit follows an hourglass design with reduced convolution filter size in the middle layer, where a shuffle operation is performed right after the split branches have been concatenated back. Shuffle operation forces the network to learn multiple sets of features relationship across various channels instead of a set of global features. The SPP unit, which is placed at the end of the network, allows the model to learn multi-scale features that are crucial to distinguish between the COVID-19 and other types of pneumonia cases. The proposed network is benchmarked with 12 other state-of-the-art CNN models that have been designed and tuned specially for COVID-19 detection. The experimental results show that the Residual-Shuffle-Net produced the best performance in terms of accuracy and specificity metrics with 0.97390 and 0.98695, respectively. The model is also considered as a lightweight model with slightly more than 2 million parameters, which makes it suitable for mobile-based applications. For future work, an attention mechanism can be integrated to target certain regions of interest in the X-ray images that are deemed to be more informative for COVID-19 diagnosis. Full article
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<p>Samples of removed X-ray images. The first two samples are removed because they were captured from the side view, while the third sample is removed because of the incomplete information on the frontal chest X-ray image.</p>
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<p>Architecture of the Residual-Shuffle unit.</p>
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<p>Architecture of the spatial pyramid pooling unit.</p>
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<p>Samples of X-ray images for each category of COVID-19, normal and other types of pneumonia cases.</p>
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<p>Training accuracy for Residual-Shuffle-Net and all of its benchmark methods.</p>
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<p>Training loss for Residual-Shuffle-Net and all of its benchmark methods.</p>
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<p>Validation loss for the Residual-Shuffle-Net and all of its benchmark methods.</p>
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<p>Confusion matrix performance of the Residual-Shuffle-Net in identifying the three classes of COVID-19, normal and other types of pneumonia cases using frontal chest X-ray images.</p>
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<p>Receiver operating characteristic (ROC) curves for the Residual-Shuffle-Net with its respective area under the curve values.</p>
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11 pages, 1036 KiB  
Article
Quantitative SARS-CoV-2 Spike Antibody Response in COVID-19 Patients Using Three Fully Automated Immunoassays and a Surrogate Virus Neutralization Test
by Yoonjoo Kim, Ji Hyun Lee, Geon Young Ko, Ji Hyeong Ryu, Joo Hee Jang, Hyunjoo Bae, Seung-Hyo Yoo, Ae-Ran Choi, Jin Jung, Jongmin Lee and Eun-Jee Oh
Diagnostics 2021, 11(8), 1496; https://doi.org/10.3390/diagnostics11081496 - 19 Aug 2021
Cited by 32 | Viewed by 5960
Abstract
Quantitative SARS-CoV-2 antibody assays against the spike (S) protein are useful for monitoring immune response after infection or vaccination. We compared the results of three chemiluminescent immunoassays (CLIAs) (Abbott, Roche, Siemens) and a surrogate virus neutralization test (sVNT, GenScript) using 191 sequential samples [...] Read more.
Quantitative SARS-CoV-2 antibody assays against the spike (S) protein are useful for monitoring immune response after infection or vaccination. We compared the results of three chemiluminescent immunoassays (CLIAs) (Abbott, Roche, Siemens) and a surrogate virus neutralization test (sVNT, GenScript) using 191 sequential samples from 32 COVID-19 patients. All assays detected >90% of samples collected 14 days after symptom onset (Abbott 97.4%, Roche 96.2%, Siemens 92.3%, and GenScript 96.2%), and overall agreement among the four assays was 91.1% to 96.3%. When we assessed time-course antibody levels, the Abbott and Siemens assays showed higher levels in patients with severe disease (p < 0.05). Antibody levels from the three CLIAs were correlated (r = 0.763–0.885). However, Passing–Bablok regression analysis showed significant proportional differences between assays and converting results to binding antibody units (BAU)/mL still showed substantial bias. CLIAs had good performance in predicting sVNT positivity (Area Under the Curve (AUC), 0.959–0.987), with Abbott having the highest AUC value (p < 0.05). SARS-CoV-2 S protein antibody levels as assessed by the CLIAs were not interchangeable, but showed reliable performance for predicting sVNT results. Further standardization and harmonization of immunoassays might be helpful in monitoring immune status after COVID-19 infection or vaccination. Full article
(This article belongs to the Section Diagnostic Microbiology and Infectious Disease)
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<p>Positivity rate of three SARS-CoV-2 S protein antibody chemiluminescent assays and the surrogate virus neutralization test according to days after symptom onset.</p>
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<p>SARS-CoV-2 S protein antibody levels by three chemiluminescent immunoassays and the surrogate virus neutralization test in COVID-19 patients according to days after symptom onset and disease severity. (<b>a</b>) Abbott, (<b>b</b>) Roche, (<b>c</b>) Siemens and (<b>d</b>) Genscript. Patients with severe (critical or severe) and mild disease courses are indicated in red and blue, respectively. (* <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Comparison between binding antibody levels (converted to binding antibody unit (BAU)/mL) from three SARS-CoV-2 S protein antibody immunoassays by Passing–Bablok regression analysis. (<b>a</b>) Abbott vs. Roche, (<b>b</b>) Abbott vs. Siemens and (<b>c</b>) Siemens vs. Roche.</p>
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<p>Comparison of quantitative SARS-CoV-2 S protein antibody levels and neutralizing antibody values by surrogate virus neutralization test. (<b>a</b>–<b>c</b>) Correlations between quantitative concentrations by three CLIAs and percent inhibition by sVNT. (<b>d</b>) Comparison of ROC curve analysis to predict sVNT positivity (&gt;30%) for three CLIAs (Abbott, Roche, and Siemens assays). * AUC value.</p>
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8 pages, 897 KiB  
Systematic Review
Perivascular Adipose Tissue Attenuation on Computed Tomography beyond the Coronary Arteries. A Systematic Review
by Domenico Tuttolomondo, Chiara Martini, Francesco Nicolini, Francesco Formica, Alessandro Pini, Francesco Secchi, Riccardo Volpi, Massimo De Filippo and Nicola Gaibazzi
Diagnostics 2021, 11(8), 1495; https://doi.org/10.3390/diagnostics11081495 - 19 Aug 2021
Cited by 7 | Viewed by 2785
Abstract
(1) Background: Perivascular adipose tissue attenuation, measured with computed tomography imaging, is a marker of mean local vascular inflammation since it reflects the morphological changes of the fat tissue in direct contact with the vessel. This method is thoroughly validated in coronary arteries, [...] Read more.
(1) Background: Perivascular adipose tissue attenuation, measured with computed tomography imaging, is a marker of mean local vascular inflammation since it reflects the morphological changes of the fat tissue in direct contact with the vessel. This method is thoroughly validated in coronary arteries, but few studies have been performed in other vascular beds. The aim of the present study is to provide insight into the potential application of perivascular adipose tissue attenuation through computed tomography imaging in extra-coronary arteries. (2) Methods: A comprehensive search of the scientific literature published in the last 30 years (1990–2020) has been performed on Medline. (3) Results: A Medline databases search for titles, abstracts, and keywords returned 3251 records. After the exclusion of repetitions and the application of inclusion and exclusion criteria and abstract screening, 37 studies were selected for full-text evaluation. Three papers were finally included in the systematic review. Perivascular adipose tissue attenuation assessment was studied in the internal carotid artery, ascending thoracic aorta, and abdominal aorta. (4) Conclusions: Perivascular adipose tissue attenuation seems to be an applicable parameter in all investigated vascular beds, generally with good inter-observer reproducibility. Full article
(This article belongs to the Special Issue Advances in Cardiopulmonary Imaging)
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<p>Flow-chart diagram for the selection of the 3 papers included in the review.</p>
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<p>Critical appraisal, including the main potential risk of bias and quality score.</p>
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12 pages, 3233 KiB  
Article
Metabolic Changes in Maternal and Cord Blood in One Case of Pregnancy-Associated Breast Cancer Seen by Fluorescence Lifetime Imaging Microscopy
by Li Zhou, Yawei Kong, Junxin Wu, Xingzhi Li, Yiyan Fei, Jiong Ma, Yulan Wang and Lan Mi
Diagnostics 2021, 11(8), 1494; https://doi.org/10.3390/diagnostics11081494 - 19 Aug 2021
Viewed by 2450
Abstract
Pregnancy-associated breast cancer (PABC) is a rare disease, which is frequently diagnosed at an advanced stage due to limitations in current diagnostic methods. In this study, fluorescence lifetime imaging microscopy (FLIM) was used to study the metabolic changes by measuring maternal blood and [...] Read more.
Pregnancy-associated breast cancer (PABC) is a rare disease, which is frequently diagnosed at an advanced stage due to limitations in current diagnostic methods. In this study, fluorescence lifetime imaging microscopy (FLIM) was used to study the metabolic changes by measuring maternal blood and umbilical cord blood via the autofluorescence of coenzymes, reduced nicotinamide adenine dinucleotide (phosphate) (NAD(P)H), and flavin adenine dinucleotide (FAD). The NAD(P)H data showed that a PABC case had significant differences compared with normal cases, which may indicate increased glycolysis. The FAD data showed that both maternal and cord blood of PABC had shorter mean lifetimes and higher bound-FAD ratios. The significant differences suggested that FLIM testing of blood samples may be a potential method to assist in PABC non-radiative screening. Full article
(This article belongs to the Special Issue Diagnosis and Management of Gynecological Cancers)
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<p>Diagram of sample preparation and equipment. (<b>A</b>) Preparation of blood glass smear. (<b>B</b>) Schematic diagram of placental sampling at various sites as marked by the yellow boxes. (<b>C</b>) FLIM setup.</p>
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<p>Representative NAD(P)H FLIM images and their distribution curves of normal and PABC cases. (<b>A</b>,<b>B</b>,<b>D</b>,<b>E</b>) <span class="html-italic">t</span><sub>m</sub> and <span class="html-italic">a</span><sub>2</sub> images of maternal blood, (<b>G</b>,<b>H</b>,<b>J</b>,<b>K</b>) <span class="html-italic">t</span><sub>m</sub> and <span class="html-italic">a</span><sub>2</sub> images of umbilical cord blood. (<b>C</b>,<b>F</b>,<b>I</b>,<b>L</b>) Distribution curves of corresponding images. Scale bar: 10 μm.</p>
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<p>The average NAD(P)H <span class="html-italic">t</span><sub>m</sub> and <span class="html-italic">a</span><sub>2</sub> distribution curve peak heights of PABC and the normal group (including seven pairs of normal maternal blood and umbilical cord blood, N1-N7). (<b>A</b>) NAD(P)H-<span class="html-italic">t</span><sub>m</sub> peak 2 height in maternal blood, (<b>B</b>) NAD(P)H-<span class="html-italic">a</span><sub>2</sub> peak 3 height in maternal blood, (<b>C</b>) NAD(P)H-<span class="html-italic">t</span><sub>m</sub> peak 2 height in cord blood, and (<b>D</b>) NAD(P)H-<span class="html-italic">a</span><sub>2</sub> peak 3 height in cord blood (** <span class="html-italic">p</span> &lt;0.01, *** <span class="html-italic">p</span> &lt;0.001, **** <span class="html-italic">p</span> &lt;0.0001).</p>
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<p>Representative FAD FLIM images and their distribution curves of PABC and normal cases. (<b>A</b>,<b>B</b>,<b>D</b>,<b>E</b>) <span class="html-italic">t</span><sub>m</sub> and <span class="html-italic">a</span><sub>1</sub> images of maternal blood, (<b>G</b>,<b>H</b>,<b>J</b>,<b>K</b>) <span class="html-italic">t</span><sub>m</sub> and <span class="html-italic">a</span><sub>1</sub> images of umbilical cord blood. (<b>C</b>,<b>F</b>,<b>I</b>,<b>L</b>) Distribution curves of corresponding images. Scale bar: 10 μm.</p>
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<p>The FWHM of the FAD <span class="html-italic">t</span><sub>m</sub> and <span class="html-italic">a</span><sub>1</sub> distribution curves of PABC and the normal group (including seven pairs of normal maternal blood and umbilical cord blood, N1-N7). (<b>A</b>) FAD-<span class="html-italic">t</span><sub>m</sub> of maternal blood, (<b>B</b>) FAD-<span class="html-italic">a</span><sub>1</sub> of maternal blood, (<b>C</b>) FAD-<span class="html-italic">t</span><sub>m</sub> of cord blood, (<b>D</b>) FAD-<span class="html-italic">a</span><sub>1</sub> of cord blood (** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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11 pages, 5664 KiB  
Case Report
Traumatic Intralenticular Neovascularization in a HLA B27+ Pediatric Patient
by Călin Petru Tătaru, Cătălina Ioana Tătaru, Maria Dudău, Alexandra Moșu, Lăcrămioara Luca, Bosa Maria, Alice Bancu and Paul Filip Curcă
Diagnostics 2021, 11(8), 1493; https://doi.org/10.3390/diagnostics11081493 - 18 Aug 2021
Viewed by 2082
Abstract
(1) Background: Intralenticular tumors are an entity akin to Schrodinger’s cat since, although the human crystalline cells themselves are not known to malignly proliferate, various entities can take the appearance and clinical presentation of a tumor originating in the lens. We present the [...] Read more.
(1) Background: Intralenticular tumors are an entity akin to Schrodinger’s cat since, although the human crystalline cells themselves are not known to malignly proliferate, various entities can take the appearance and clinical presentation of a tumor originating in the lens. We present the peculiar case of an 11-year-old male patient of African descent, HLA B27+, with a previous history of minor ocular trauma and unilateral anterior uveitis a year before which was admitted to our department with total opacification of the crystalline lens in the right eye and lens neovascularization. During surgery, a vascular, white fibrotic mass measuring 0.1–0.2 cm was discovered inside the lens bag and was excised. (2) Methods: Retrospective case review. (3) Results: The histopathological exam of the excised mass revealed an abundant infiltrate consisting of CD68+ foamy macrophages and lymphoplasmacytic elements. CD68 is a pan-macrophage marker associated with an active inflammatory mechanism soliciting macrophages, and tissue activated macrophages are correlated to increased stromal and serum levels of vascular endothelial growth factor, providing an explanation for lens angiogenesis. (4) Conclusions: The diagnosis is of a “masquerade tumor” resulted from an abnormal inflammatory process in connection with previous ocular trauma and possibly the patient’s HLA B27+ status. Full article
(This article belongs to the Special Issue New Frontiers in Diagnostics for Cataract Surgery)
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<p>16x magnification slit-lamp biomicroscopy images of the patient’s right eye. (<b>A</b>) Reveals an opaque lens. (<b>B</b>) Enhanced (zoomed-in) close-up image that reveals the presence of fine blood vessels located intralenticularly.</p>
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<p>Intraoperative images—Initial aspect (<b>A</b>). During the surgery, the anterior capsule was firmly attached to the lens by fibrous adherences (<b>B</b>–<b>D</b>), which presented neovascularization, and a small amount of blood was discharged after manipulation (<b>C</b>). After aspiration of the lens material a vascular fibrotic tissue previously covered by the cortex and anterior capsule was discovered in the lens bag (<b>E</b>), with a greater consistency than the lens and a visible blood-vessel. The specimen was excised (<b>F</b>) and sent for histopathological examination. A fibrous vascularized proliferation remains attached in the supero-temporal region of the posterior capsule (<b>G</b>). A posterior capsulorhexis (<b>H</b>) with limited anterior vitrectomy and the excision of the fibrous proliferation were performed. The lens was implanted by using the technique of posterior optic capture, and the surgery was conducted without other complications (<b>I</b>).</p>
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<p>HE stain, 4×. (<b>A</b>) indicates a resection artifact. (<b>B</b>) The inflammatory infiltrate of foamy macrophages and lymphoplasmacytic elements. (<b>C</b>) indicates an abundance of immature collagen fibers.</p>
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<p>HE stain, 10× lens. Foamy macrophages predominantly centrally located. Numerous loose collagen fibers are present throughout the specimen, with more located toward the periphery.</p>
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<p>HE stain 40× lens—close-up view of the inflammatory infiltrate. (<b>A</b>) highlights the foamy macrophages. (<b>B</b>) indicates immature collagen fibers. (<b>C</b>,<b>D</b>) note the presence of lymphoplasmacytes.</p>
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<p>Van Gieson’s stain, 20× lens—close-up of the immature collagen fibers.</p>
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<p>Immunohistochemical analysis using CD68 staining antibodies. (<b>A</b>) using 10× lens: the overall picture is of a highly metabolically active granulation tissue that is not yet matured. (<b>B</b>) using 20× lens: intense positivity and diffuse capture in the cytoplasm of the macrophages, identifying them as CD68+ foamy macrophages.</p>
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15 pages, 3427 KiB  
Article
An Artificial Intelligence-Enabled Pipeline for Medical Domain: Malaysian Breast Cancer Survivorship Cohort as a Case Study
by Mogana Darshini Ganggayah, Sarinder Kaur Dhillon, Tania Islam, Foad Kalhor, Teh Chean Chiang, Elham Yousef Kalafi and Nur Aishah Taib
Diagnostics 2021, 11(8), 1492; https://doi.org/10.3390/diagnostics11081492 - 18 Aug 2021
Cited by 4 | Viewed by 3460
Abstract
Automated artificial intelligence (AI) systems enable the integration of different types of data from various sources for clinical decision-making. The aim of this study is to propose a pipeline to develop a fully automated clinician-friendly AI-enabled database platform for breast cancer survival prediction. [...] Read more.
Automated artificial intelligence (AI) systems enable the integration of different types of data from various sources for clinical decision-making. The aim of this study is to propose a pipeline to develop a fully automated clinician-friendly AI-enabled database platform for breast cancer survival prediction. A case study of breast cancer survival cohort from the University Malaya Medical Centre was used to develop and evaluate the pipeline. A relational database and a fully automated system were developed by integrating the database with analytical modules (machine learning, automated scoring for quality of life, and interactive visualization). The developed pipeline, iSurvive has helped in enhancing data management as well as to visualize important prognostic variables and survival rates. The embedded automated scoring module demonstrated quality of life of patients whereas the interactive visualizations could be used by clinicians to facilitate communication with patients. The pipeline proposed in this study is a one-stop center to manage data, to automate analytics using machine learning, to automate scoring and to produce explainable interactive visuals to enhance clinician-patient communication along the survivorship period to modify behaviours that relate to prognosis. The pipeline proposed can be modelled on any disease not limited to breast cancer. Full article
(This article belongs to the Special Issue Machine Learning in Breast Disease Diagnosis)
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<p><span class="html-italic">i</span>Survive development workflow.</p>
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<p>Automated machine learning in <span class="html-italic">i</span>Survive.</p>
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<p>Digitized questionnaires in <span class="html-italic">i</span>Survive.</p>
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<p>(<b>a</b>) Bar chart showing model accuracy measures of five algorithms (RF: 92.5%, KNN: 92.4%, LR: 92.3%, DT: 85.0%, NB: 86.0%). (<b>b</b>) The variable importance scores of 16 variables in ascending order (BMI: 0.91, Age: 0.15, Stage: 0.14, Income: 0.07, Menarche: 0.06, Marital status: 0.05, Ethnicity: 0.05, CERB2 status: 0.04, Education: 0.04, PR status: 0.03, Occupation: 0.02, ER status: 0.02, Menopausal: 0.02, Recurrence: 0.02, Alcohol intake: 0.01, Smoking status (0.01), Stress level: 0.00).</p>
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<p>Survival curves using BMI and survival years.</p>
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<p>Quality-of-life scoring page of <span class="html-italic">i</span>Survive.</p>
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<p>Interactive visualization showing the reports on personal information, comorbidity, physical activity measure, and distress level of a selected patient.</p>
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<p>Quality-of-life chart, which can be exported to pdf from iSurvive.</p>
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14 pages, 2337 KiB  
Article
Radiomics Nomogram Based on Radiomics Score from Multiregional Diffusion-Weighted MRI and Clinical Factors for Evaluating HER-2 2+ Status of Breast Cancer
by Chunli Li and Jiandong Yin
Diagnostics 2021, 11(8), 1491; https://doi.org/10.3390/diagnostics11081491 - 18 Aug 2021
Cited by 16 | Viewed by 3319
Abstract
This study aimed to establish and validate a radiomics nomogram using the radiomics score (rad-score) based on multiregional diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) features combined with clinical factors for evaluating HER-2 2+ status of breast cancer. A total of 223 [...] Read more.
This study aimed to establish and validate a radiomics nomogram using the radiomics score (rad-score) based on multiregional diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) features combined with clinical factors for evaluating HER-2 2+ status of breast cancer. A total of 223 patients were retrospectively included. Radiomic features were extracted from multiregional DWI and ADC images. Based on the intratumoral, peritumoral, and combined regions, three rad-scores were calculated using the logistic regression model. Independent parameters were selected among clinical factors and combined rad-score (com-rad-score) using multivariate logistic analysis and used to construct a radiomics nomogram. The performance of the nomogram was evaluated using calibration, discrimination, and clinical usefulness. The areas under the receiver operator characteristic curve (AUCs) of intratumoral and peritumoral rad-scores were 0.824/0.763 and 0.794/0.731 in the training and validation cohorts, respectively. Com-rad-score achieved the highest AUC (0.860/0.790) among three rad-scores. ER status and com-rad-score were selected to establish the nomogram, which yielded good discrimination (AUC: 0.883/0.848) and calibration. Decision curve analysis demonstrated the clinical value of the nomogram in the validation cohort. In conclusion, radiomics nomogram, including clinical factors and com-rad-score, showed favorable performance for evaluating HER-2 2+ status in breast cancer. Full article
(This article belongs to the Special Issue Advancement in Breast Diagnostic and Interventional Radiology)
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<p>Flowchart of this study. (<b>a</b>) Image data (DWI<sub>b=0</sub>, DWI<sub>b=800</sub>, and ADC) was collected. (<b>b</b>) Intra- and peritumoral regions (red masks) were obtained using semi-automatic segmentation. (<b>c</b>) A total of 2504 radiomic features were extracted from three images, and ICC analysis and three-step feature selection were performed. (<b>d</b>) Three rad-scores were calculated with the selected features using the logistic regression model and evaluated. (<b>e</b>) Independent parameters were selected among clinical factors and combined rad-score (com-rad-score) using multivariate logistic analysis and used to establish a radiomics nomogram. ICC, intraclass correlation coefficient; WLCX, Wilcoxon rank-sum test; MRMR, minimum redundancy maximum relevance; ROC, receiver operating characteristic.</p>
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<p>Intratumoral segmentation, peritumoral segmentation, pathology, and FISH results of randomly selected cases with negative and positive HER-2 2+. Case with negative HER-2 2+: (<b>a</b>) DWI<sub>b=0</sub>, (<b>b</b>) DWI<sub>b=800</sub>, (<b>c</b>) ADC map, (<b>d</b>) pathology findings, and (<b>e</b>) FISH results. Case with positive HER-2 2+: (<b>f</b>) DWI<sub>b=0</sub>, (<b>g</b>) DWI<sub>b=800</sub>, (<b>h</b>) ADC map, (<b>i</b>) pathology findings, and (<b>j</b>) FISH results. The white and red lines indicate the intratumoral and peritumoral margins on DWI<sub>b=0</sub>, DWI<sub>b=800</sub>, and ADC images, respectively.</p>
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<p>Dot diagram of the three rad-scores in the training (positive: <span class="html-italic">n</span> = 75, negative: <span class="html-italic">n</span> = 92) and validation (positive: <span class="html-italic">n</span> = 22, negative: <span class="html-italic">n</span> = 34) cohorts. Dot diagram of the intra-rad-score in the training (<b>a</b>) and validation (<b>b</b>) cohorts. Dot diagram of the peri-rad-score in the training (<b>c</b>) and validation (<b>d</b>) cohorts. Dot diagram of the com-rad-score in the training (<b>e</b>) and validation (<b>f</b>) cohorts.</p>
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<p>ROC curves of the three rad-scores in each cohort. (<b>a</b>) ROC curves of the three rad-scores in the training cohort. (<b>b</b>) ROC curves of the three rad-scores in the validation cohort.</p>
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<p>Radiomics nomogram incorporating the com-rad-score and ER status.</p>
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<p>ROC curves for the radiomics nomogram in each cohort. (<b>a</b>) ROC curve for the radiomics nomogram in the training cohort. (<b>b</b>) ROC curve for the radiomics nomogram in the validation cohort.</p>
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<p>Calibration curves of the radiomics nomogram in each cohort. (<b>a</b>) Calibration curve of the radiomics nomogram in the training cohort. (<b>b</b>) Calibration curve of the radiomics nomogram in the validation cohort.</p>
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<p>DCA for the radiomics nomogram in the validation cohort.</p>
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Interesting Images
An Incidental Pancreatic Finding at 18F-Choline PET/CT: Chronic Mass-Forming Pancreatitis
by Laura Evangelista, Alessandro De Pellegrin, Rossano Girometti, Gianluca Cassarino, Francesco Giacomuzzi and Marco Rensi
Diagnostics 2021, 11(8), 1490; https://doi.org/10.3390/diagnostics11081490 - 17 Aug 2021
Viewed by 2518
Abstract
We present a case of a chronic mass-forming pancreatitis (CMFP) detected by 18F-choline (FCH) PET/CT in a male affected by prostate cancer. FCH PET/CT scan showed a focal uptake in the uncinate process of the pancreas, later diagnosed as a CMFP at biopsy. [...] Read more.
We present a case of a chronic mass-forming pancreatitis (CMFP) detected by 18F-choline (FCH) PET/CT in a male affected by prostate cancer. FCH PET/CT scan showed a focal uptake in the uncinate process of the pancreas, later diagnosed as a CMFP at biopsy. Although the physiological distribution of FCH in the pancreas, a careful interpretation of the images in this area is warranted. Full article
(This article belongs to the Collection Interesting Images)
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<p>A male patient with prostate cancer underwent 18F-Choline (FCH) PET/CT for the suspicion of lymph node recurrence during hormonal therapy. He was not submitted to local therapies (i.e., surgery or radiotherapy) for the treatment of the primary prostate lesion. The patient has, in addition, a history of diabetes mellitus type II and hypertension. PET/CT detected multiple areas of focal FCH uptakes ((<b>A</b>); maximum intensity projection—MIP) in prostate gland (arrow, (<b>B</b>)) and abdominal-pelvic lymphadenopathies (arrows, (<b>C</b>)), compatible with recurrent prostate cancer. Moreover, a focal tracer uptake was shown in the uncinate process of the pancreas with a maximum standardized uptake value (SUVmax) equal to 13.6 (arrow, (<b>D</b>)). As already stated by Schillaci et al. [<a href="#B1-diagnostics-11-01490" class="html-bibr">1</a>], FCH may physiologically show a moderate-to-high uptake in the liver and the pancreas. However, the presence of a focal uptake should be further investigated in order to make a differential diagnosis with a malignant or benign lesion. A subsequent MRI showed no definite lesion but rather a slight “mass-like” enlargement of the pancreatic head, as visible on the axial single-shot turbo-spin echo T2-weighted image (arrow, (<b>E</b>)). Some micro-cystic areas were appreciated in the pancreaticoduodenal groove (arrowhead, (<b>E</b>)). The absence of lesions was confirmed on the post-contrast pancreatic phase (axial gradient echo volumetric fat saturated image), in which pancreatic parenchyma appears homogeneous, with no solid tissue extending towards major vascular structures (arrowhead, (<b>F</b>)). Of note, the cholangiopancreatography sequence showed a normal-sized but irregular main pancreatic duct, with no cephalic structures (arrow, (<b>G</b>)). Overall, subtle morphological changes and ductal abnormalities supported the diagnosis of CMFP. The Carbohydrate antigen 19–9 (CA19.9) was normal (17.0 UI/mL). However, after one month from MRI and FCH PET/CT, the patient was submitted to an endoscopic ultrasound (EUS) exam and biopsy, based on the suggestion of the multidisciplinary team.</p>
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<p>The histological examination demonstrated fragments of sclerotic stroma in storiform fashion, in which inflammation cells (most lymphocyte and plasma cells) were recognizable ((<b>A</b>–<b>C</b>); Hematoxylin and Eosin stains at different magnifications). Moreover, the immunostaining for CD38 highlighted the plasma cells population (<b>D</b>) and immunostaining for IgG4 showed a considerable amount of specific immunoglobulin in diagnostic range for type 1 autoimmune pancreatitis (<b>E</b>). The CMFP represents the 10–30% of chronic pancreatitis and the differential diagnosis with pancreatic cancer is very difficult [<a href="#B2-diagnostics-11-01490" class="html-bibr">2</a>]. MRI has a high diagnostic accuracy in the diagnosis of chronic pancreatitis with a sensitivity and specificity, respectively, of 78% and 96% [<a href="#B3-diagnostics-11-01490" class="html-bibr">3</a>]. Gu et al. suggest using 18F-FDG PET/CT combined with CA19–9 to differentially diagnose pancreatic cancer from CMFP [<a href="#B4-diagnostics-11-01490" class="html-bibr">4</a>]. EUS is a very sensitive examination to detect pancreatic masses and can provide useful information in cases where conventional radiologic workup remains inconclusive [<a href="#B5-diagnostics-11-01490" class="html-bibr">5</a>]. Thanks to its high-resolution images, EUS is more precise than MRI and CT for the diagnosis of small pancreatic lesions. However, its specificity remains low (about 50%) since most lesions showed unclear echoic signs. Probably, the association of EUS with contrast enhancement and elastography can increase the overall accuracy [<a href="#B6-diagnostics-11-01490" class="html-bibr">6</a>,<a href="#B7-diagnostics-11-01490" class="html-bibr">7</a>]. Choline plays an important role in the structure and the function of biological membranes and is essential for the synthesis of phospholipids [<a href="#B8-diagnostics-11-01490" class="html-bibr">8</a>]. The distribution of FCH is physiological in the pancreas as in the liver, spleen, salivary, and lacrimal glands [<a href="#B1-diagnostics-11-01490" class="html-bibr">1</a>]. The uptake of choline is also present in many cancers and in the immune cells as macrophages, present in inflammatory processes [<a href="#B9-diagnostics-11-01490" class="html-bibr">9</a>,<a href="#B10-diagnostics-11-01490" class="html-bibr">10</a>,<a href="#B11-diagnostics-11-01490" class="html-bibr">11</a>]. This is the first case of CMFP detected by FCH. We cannot recommend the use of FCH PET as an alternative diagnostic imaging in autoimmune pancreatic processes, but we strongly suggest careful interpreting PET-imaging (especially in case of focal tracer uptake in the pancreas). Furthermore, images from hybrid PET/MRI scanners [<a href="#B8-diagnostics-11-01490" class="html-bibr">8</a>] should be assessed, since they can provide complete information by using a single examination.</p>
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