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14 pages, 3485 KiB  
Article
Fiber-Based Laser Doppler Vibrometer for Middle Ear Diagnostics
by Adam T. Waz, Marcin Masalski and Krzysztof Morawski
Photonics 2024, 11(12), 1152; https://doi.org/10.3390/photonics11121152 - 6 Dec 2024
Viewed by 560
Abstract
Laser Doppler vibrometry (LDV) is an essential tool in assessing by evaluating ossicle vibrations. It is used in fundamental research to understand hearing physiology better and develop new surgical techniques and implants. It is also helpful for the intraoperative hearing assessment and evaluation [...] Read more.
Laser Doppler vibrometry (LDV) is an essential tool in assessing by evaluating ossicle vibrations. It is used in fundamental research to understand hearing physiology better and develop new surgical techniques and implants. It is also helpful for the intraoperative hearing assessment and evaluation of postoperative treatment results. Traditional volumetric LDVs require access in a straight line to the test object, which is challenging due to the structure of the middle ear and the way the auditory ossicles are accessible. Here, we demonstrate the usage of a fiber-based laser Doppler vibrometer (FLDV) for middle ear diagnostics. Compared to classical vibrometers, the main advantages of this device are the ability to analyze several arbitrarily selected points simultaneously and the flexibility achieved by employing fiber optics to perform analysis in hard-to-reach locations, which are particularly important during endoscopic ear surgery. The device also allows for a simple change in measuring probes depending on the application. In this work, we demonstrate the properties of the designed probe and show that using it together with the FLDV enables recording vibrations of the auditory ossicles of the human ear. The obtained signals enable hearing analysis. Full article
(This article belongs to the Special Issue Optical Fiber Lasers and Laser Technology)
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Figure 1

Figure 1
<p>The concept of a fiber-based vibrometer (AO—acousto-optic, EDFA—Erbium Doped Fiber Amplifier, Fibers—standard single mode fibers).</p>
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<p>The four-channel FLDV that was made at WUST [<a href="#B18-photonics-11-01152" class="html-bibr">18</a>].</p>
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<p>Default (universal) motorized FLDV head: (<b>a</b>) an idea; (<b>b</b>) a real photo.</p>
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<p>Ceramic hand probe tip: (<b>a</b>) the design; (<b>b</b>,<b>c</b>) photos.</p>
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<p>Handheld probe (HP): (<b>a</b>) photo; (<b>b</b>) far-field beam profiles (samples: 3760, target scan rate: 10 Hz, resolution 2.4 μm, 9.68 fps).</p>
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<p>Comparison of the beam’s diameter emitted from a fiber and a collimator.</p>
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<p>Retroreflective sticker with glass beads.</p>
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<p>Measuring the power of scattered light returning to the system: (<b>a</b>) setup with universal head (UH); (<b>b</b>) results.</p>
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<p>Measuring the power of scattered light returning to the system: (<b>a</b>) setup with handheld probe (HP); (<b>b</b>) results.</p>
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<p>Typical access to the middle ear: (<b>a</b>) setup for measuring middle ear vibrations; (<b>b</b>) actual photo with visible ossicles and dimensions; (<b>c</b>) photo of the measurement on the posterior crus of stapes.</p>
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<p>Averaged spectrum for 60 dB HL excitation over noise background [<a href="#B18-photonics-11-01152" class="html-bibr">18</a>].</p>
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<p>The amplitude of vibration of the superstructure of the stapes of an example ear as a function of stimulation intensity.</p>
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28 pages, 26315 KiB  
Article
Comprehensive Management of Cholesteatoma in Otitis Media: Diagnostic Challenges, Imaging Advances, and Surgical Outcome
by Cristina Popescu, Renata Maria Văruț, Monica Puticiu, Vlad Ionut Belghiru, Mihai Banicioiu, Luciana Teodora Rotaru, Mihaela Popescu, Arsenie Cristian Cosmin and Alin Iulian Silviu Popescu
J. Clin. Med. 2024, 13(22), 6791; https://doi.org/10.3390/jcm13226791 - 11 Nov 2024
Viewed by 1010
Abstract
Background: This study presents a comprehensive analysis of cholesteatoma of the middle ear, focusing on its clinical presentation, diagnostic imaging, and treatment outcomes. Cholesteatomas are defined by the keratinized squamous epithelium within the middle ear, leading to significant bone erosion, often affecting the [...] Read more.
Background: This study presents a comprehensive analysis of cholesteatoma of the middle ear, focusing on its clinical presentation, diagnostic imaging, and treatment outcomes. Cholesteatomas are defined by the keratinized squamous epithelium within the middle ear, leading to significant bone erosion, often affecting the ossicular chain and surrounding structures. Methods: The study explores various mechanisms involved in cholesteatoma progression, including enzymatic lysis, inflammatory responses, and neurotrophic disturbances. The study conducted a retrospective clinical and statistical review of 580 patients over a 20-year period (2003–2023), highlighting the role of advanced imaging, including computed tomography (CT) and diffusion-weighted magnetic resonance imaging (DWI), in preoperative planning and postoperative follow-up. Results: Findings revealed that early detection and intervention are crucial in preventing severe complications such as intracranial infection and hearing loss. Surgical treatment primarily involved tympanoplasty and mastoidectomy, with a recurrence rate of 1.55% within two years. The study underscores the importance of integrating imaging advancements into clinical decision-making to enhance patient outcomes and suggests further investigation into molecular mechanisms underlying cholesteatoma progression and recurrence. Histopathological and microbiological analysis was performed to identify pathological patterns and microbial agents. Conclusions: The study highlights the importance of early diagnosis and intervention to prevent complications such as intracranial infections and permanent hearing loss, while also emphasizing the role of advanced imaging techniques in the management and long-term monitoring of cholesteatoma patients. Full article
(This article belongs to the Special Issue Clinical Diagnosis and Surgical Strategies Update on Ear Disorders)
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<p>A radiograph of the left petromastoid region in the temporo-tympanic (Schüller) incidence showed reduced transparency of most mastoid cells.</p>
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<p>Reduced pneumatization of mastoid cells, with preservation of the bony septa between the cells.</p>
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<p>Pneumatic cells with demineralized intercellular septa, with a faded, mottled, punctiform appearance, in places losing their individuality (accentuation of local vasomotor phenomena). There is no evidence of missing or defective bone structure.</p>
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<p>Elements to reduce pneumatization and resorption of intercellular septa.</p>
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<p>Small areas of osteolysis at the petrous portion, more evident anteriorly of the posterior margin of the temporal rock.</p>
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<p>Small geode projected at the petrous region.</p>
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<p>Postoperative control radiograph showing an area of osteolysis with clear, well-demarcated borders.</p>
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<p>Osteocondensation of the petromastoid region with complete disappearance of pneumatization and evidence of the lateral venous sinus posterior to the posterior margin of the temporal rock.</p>
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<p>Total loss of mastoid aeration accompanied by marked bone condensation changes (sclerosis).</p>
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<p>Lack of mastoid air spaces in the pre- and retrosinusal cells, with visualization of the lateral venous sinus (band of increased transparency, 1–1.2 cm wide, with smooth borders, oblique from top to bottom, parallel to the posterior border of the rock).</p>
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<p>Patient with diagnosis of right suppurative chronic polypous polypous otomastoiditis. CT examination in axial sections shows absence of mastoid cell pneumatization and presence of a tissue mass in the right external auditory canal.</p>
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<p>Patient with diagnosis of chronic suppurative otomastoiditis, lateral venous sinus thrombosis. CT scan, axial section, bony window showing absence of pneumatization of left-sided mastoid cells, fluid retention in the area, and MR venous 2DTOF MRI venous 2DTOF sequence with absence of signal at the left-sided lateral venous sinus.</p>
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<p>Patient with the diagnosis of chronic suppurative left exteriorized otomastoiditis. CT examination, in postcontrast CT axial sections, parenchymal window and bone window, with bone sequestration and fistulization in the subcutaneous soft parts.</p>
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<p>Patient with diagnosis of chronic suppurative otomastoiditis, brain abscess. CT examination in axial sections, bone window, and parenchymal window, post-contrast, showed lack of pneumatization of left mastoid cells; in the brain substance adjacent to the posterior aspect of the left temporal rock, gas bubbles and diffuse and moderate contrast uptake.</p>
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<p>Patient with the diagnosis of acute suppurative polypous exteriorized retroauricular acute polypoid otomastoiditis. CT examination in axial, bony window, and parenchymal sections revealed underdeveloped mastoid air spaces on the left side, tissue formation in the external auditory canal, and diffuse infiltration of the retroauricular soft tissues.</p>
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<p>Patient with the diagnosis of right chronic suppurative polypous chronic polypous otomastoiditis, left chronic otomastoiditis, deviated nasal septum, and chronic hypertrophic rhinitis. CT examination, axial sections, bone, and parenchymal window—hypertrophy of bilateral middle nasal turbinates, accentuated on the left side; reduced pneumatization of mastoid cells on the left side; lack of air cell development in the mastoid cells; presence of effudion with increased densities in the right mastoid.</p>
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<p>CT axial sections, bone, and parenchymal window showing right temporooccipital osteolysis and at the posterior aspect of the temporal rock on the right side, right temporooccipital epicranial collection and diffuse infiltration of the integument and retroauricular fat, right cerebellar subdural collection with subdural empyema appearance.</p>
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<p>Left petromastoid region, Schüller’s incidence shows reduced left-sided mastoid pneumatization.</p>
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<p>Axial CT sections, bone and parenchymal window—extensive area of osteolysis in the left temporal bone and external wall of the mastoid, absence of pneumatization of left-sided mastoid cells and reduced pneumatization of right-sided mastoid cells, epididymal collection, diffuse infiltrative appearance of the preauricular soft tissues.</p>
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<p>Patient with the diagnosis of acute cholesteatomatousotomastoiditis, right temporal cerebritis, and neighboring meningeal reaction in MRI examination with axial and coronal sections native and postgadolinium, an area in frank hyperseminal at the right mastoid, with fluid appearance; postgadolinium, diffusely demarcated area, at the level of the brain parenchyma, right temporal lobe, and meningeal pathologic contrast uptake, right temporal.</p>
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<p>Axial and coronal postgadolinium axial and coronal sections show right temporal cerebral abscesses and pathologic uptake of neighboring meningeal contrast.</p>
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<p>Axial T2-weighted and T1-weighted MRI T2-weighted and T1-weighted MRI axial sections show hypersignal T2-weighted area, isosignal with the T1-weighted brain substance, located in the right middle ear; also, heterogeneous signal area is observed in the right mastoid, indicating the presence of superinfected fluid.</p>
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<p>Patient with the diagnosis of chronic suppurative left retroauricular exteriorized chronic suppurative otomastoiditis, MRI examination with axial and coronal sections, with enlarged hyperseminal T2-weighted area in the middle ear and mastoid on the left side, hyposeminal T1-weighted.</p>
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<p>Endoscopic examination of the right tympanic membrane with slight accentuation of the tympanic vascularization.</p>
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<p>Cholesteatom, ob. ×10, col. HE.</p>
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<p>Cholesteatom, ob. ×40, col. HE.</p>
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<p>Polip, ob. ×4, col. HE.</p>
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<p>Polip, ob. ×20, col. HE.</p>
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<p>Tympanic membrane mucosa, epithelium with apocrine-like cells and chronic inflammatory infiltrate, ob. ×40, col. HE.</p>
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<p>Tympanic membrane mucosa, epithelium with apocrine-like cells and chronic inflammatory infiltrate, ob. ×10, col. HE.</p>
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<p>B lymphocytes in small amounts diffusely distributed, highlighted by IHC technique using CD20 atc, ob. ×100.</p>
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<p>Much more numerous T lymphocytes arranged around blood vessels, ob. ×100.</p>
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<p>T lymphocytes unevenly distributed, more abundant around blood vessels, granuloma-like appearance; T lymphocytes visualized by IHC technique using atc CD3, ob. ×100.</p>
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<p>Much more numerous T lymphocytes arranged around blood vessels, ob. ×100.</p>
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<p>T lymphocytes unevenly distributed, more abundant around blood vessels, granuloma-like appearance; T lymphocytes visualized by IHC technique using atc CD3, ob. ×100.</p>
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11 pages, 2056 KiB  
Article
Diagnosis of Enlarged Vestibular Aqueduct Using Wideband Tympanometry
by Akira Ganaha, Nao Nojiri, Takeshi Nakamura, Teruyuki Higa, Shunsuke Kondo and Tetsuya Tono
J. Clin. Med. 2024, 13(21), 6602; https://doi.org/10.3390/jcm13216602 - 3 Nov 2024
Viewed by 495
Abstract
Background: Wideband tympanometry (WBT) has the potential to distinguish various mechanical middle ear and inner ear pathologies noninvasively. This study investigated the diagnostic value of WBT in the diagnosis of enlarged vestibular aqueduct (EVA). Methods: The absorbance and resonance frequency (RF) of patients [...] Read more.
Background: Wideband tympanometry (WBT) has the potential to distinguish various mechanical middle ear and inner ear pathologies noninvasively. This study investigated the diagnostic value of WBT in the diagnosis of enlarged vestibular aqueduct (EVA). Methods: The absorbance and resonance frequency (RF) of patients with EVA (40 ears, 25 patients) and matched population controls (39 ears, 28 subjects) were compared, alongside receiver operating characteristic (ROC) analysis. Correlations between VA width and RF were also examined. Results: Patients with EVA had higher absorbance at low frequencies (226–917 Hz) and lower absorbance at high frequencies (2520–4896 Hz) compared to controls. The RF of the EVA group was significantly lower versus controls (751 [391–1165] vs. 933 [628–1346] Hz). The ROC analysis revealed area under the curve values of 0.771 and 0.801, respectively, for absorbance and RF. RF had a sensitivity, specificity, positive predictive value, and negative predictive value of 74.4%, 82.5%, 76.7%, and 80.6%, respectively, for diagnosing EVA. In the EVA group, the VA midpoint width (r = −0.334) and VA petrous width (r = −0.402) both significantly correlated with RF. Conclusions: Our findings support the utility of WBT for diagnosing EVA, with RF as the optimal index used. Full article
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Figure 1
<p>Measuring the VA midpoint and porous width in axial computed tomography images. The VA midpoint width (white line) was measured at the half the distance from VA fundus to its external pore (<b>A</b>). The VA porous width (white line) was measured from the opercular margins to the spots on the posterior temporal bone walls (black line) whose surface was perpendicular to the measurement lines (<b>B</b>).</p>
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<p>Mean absorbance curves at peak pressure against frequency group. The error bars represent ±1 standard deviation from the mean.</p>
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<p>Comparison of RF between the control group and EVA group. The mean RF was significantly lower in the EVA group than in the control group.</p>
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<p>Receiver operating characteristic (ROC) curve analysis for absorbance at 3776 Hz (<b>A</b>). Area under the curve, 0.771 (95% confidence interval, 0.670–0.871). ROC analysis for RF in control and EVA groups (<b>B</b>). AUC, 0.801 (95% confidence interval, 0.712–0.907).</p>
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<p>Receiver operating characteristic (ROC) curve analysis for RF in the (<b>A</b>) child group (area under the curve [AUC], 0.800 [95% confidence interval, 0.684–0.979]) and (<b>B</b>) adult group (AUC, 0.831 [95% confidence interval, 0.684–0.979]).</p>
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<p>Correlations of resonance frequency with (<b>A</b>) the VA midpoint width (r = −0.334); and (<b>B</b>) the VA porous width (r = −0.402). The line represents the best-fit regression line.</p>
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9 pages, 236 KiB  
Review
Audio-Vestibular Evaluation of Pediatric Pseudo-Conductive Hearing Loss: Third Window Syndromes
by Gorkem Ertugrul, Aycan Comert and Aysenur Aykul Yagcioglu
Audiol. Res. 2024, 14(5), 790-798; https://doi.org/10.3390/audiolres14050066 - 6 Sep 2024
Viewed by 1090
Abstract
Conductive hearing loss caused by external or middle ear problems prevents the transmission of sound waves from the external auditory canal to the cochlea, and it is a common condition, especially in pediatric patients aged 1–5 years. The most common etiological factors are [...] Read more.
Conductive hearing loss caused by external or middle ear problems prevents the transmission of sound waves from the external auditory canal to the cochlea, and it is a common condition, especially in pediatric patients aged 1–5 years. The most common etiological factors are otitis media and cerumen during childhood. In some patients, external and middle ear functions and structures may be normal bilaterally despite the air-bone gap on the audiogram. This condition, which is often a missed diagnosis in children, is defined as a pseudo-conductive hearing loss (PCHL) caused by third window syndromes (TWSs) such as semicircular canal dehiscence, inner ear malformations with third window effect, and perilymphatic fistula. In this review of the literature, the authors emphasize the pitfalls of pediatric audio-vestibular evaluation on TWSs as well as the key aspects of this evaluation for the differential diagnosis of PCHL brought on by TWSs. This literature review will provide audiologists and otologists with early diagnostic guidance for TWSs in pediatric patients. Full article
(This article belongs to the Special Issue Inner Ear Conductive Hearing Loss: Current Studies and Controversies)
12 pages, 2433 KiB  
Article
MRI-Based Inner Ear Assessment and Cochlin Tomoprotein-Based Evaluation of Perilymphatic Fistula in Patients with Sudden Hearing Loss
by Rayoung Kim, Denis Mihailovic, Conrad Riemann, Alexander Kilgué, Christoph Joachim Pfeiffer, Hans-Björn Gehl, Lars-Uwe Scholtz and Ingo Todt
Brain Sci. 2024, 14(7), 681; https://doi.org/10.3390/brainsci14070681 - 5 Jul 2024
Viewed by 1157
Abstract
Objectives: To study the correlation between positive cochlin tomoprotein testing (CTP), magnetic resonance (MR) imaging, and the auditory and vestibular function amongst patients with sudden hearing loss. Study Design: Prospective case series. Methods: We prospectively examined eight patients who presented with sudden hearing [...] Read more.
Objectives: To study the correlation between positive cochlin tomoprotein testing (CTP), magnetic resonance (MR) imaging, and the auditory and vestibular function amongst patients with sudden hearing loss. Study Design: Prospective case series. Methods: We prospectively examined eight patients who presented with sudden hearing loss (>60 dB) with or without vertigo or tinnitus. We performed an ELISA-based CTP detection test using middle ear lavage samples. In addition to the CTP examination, a magnetic resonance imaging (MRI) examination was performed using different sequences (T1 and a T1 sequence with a contrast medium (CM), a T2 sequence, 4 h delayed intravenous gadolinium-enhanced three-dimensional fluid-attenuated inversion recovery (3D FLAIR)). Results: All patients with sudden hearing loss (>60 dB) presented a non-specific contrast enhancement in the cochlea and vestibulum on the affected side on delayed 3D-FLAIR MRI. Four patients had a positive CTP test, suggesting a perilymphatic fistula (PLF). However, no specific MRI signal for a PLF was observed. Conclusions: Using multimodal diagnostic measures, such as CTP testing and different MRI sequences, no correlation could be found in patients with a PLF. Full article
(This article belongs to the Special Issue Recent Advances in Hearing Impairment)
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<p>A 60-year-old male presented with a sudden hearing loss on the right side for one week. The axial 4 h delayed 3D FLAIR sequence shows a contrast enhancement in the cochlear basal turn (arrow) (<b>A</b>) and vestibulum (<b>B</b>). About 3/3 of fluid filling in the RW niche was observed (arrow, (<b>C</b>)).</p>
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<p>A 38-year-old female presented with sudden hearing loss on the left side and acute rotatory vertigo. The axial 4 h delayed 3D FLAIR sequence shows a contrast enhancement in the left cochlea (<b>A</b>). A cochlear (arrow) and vestibular (dashed arrow) contrast enhancement was observed in the axial T1 sequence (<b>B</b>). Hypointense signal intensity in the basal turn of the left cochlea was found on axial T2W (<b>C</b>).</p>
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<p>A 48-year-old male presented with a sudden hearing loss on the right side with tinnitus. The axial 4 h delayed 3D FLAIR sequence shows a contrast enhancement in the cochlea basal turn on the right side (<b>A</b>). In the same MR sequence, a vestibulum (arrow (<b>B</b>)) and fundus (dashed arrow (<b>B</b>)) and MR enhancement were observed, as well as an inversion of the saccule (arrow (<b>C</b>)) and utricle (dashed arrow (<b>C</b>)) area ratio.</p>
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<p>An 86-year-old male presented with a sudden hearing loss on the left side without vertigo and tinnitus. On the axial 4 h delayed 3D FLAIR sequence, there was a contrast enhancement in the cochlea basal turn (arrow (<b>A</b>)) and vestibulum (arrow (<b>B</b>)) on the left side.</p>
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<p>A 77-year-old patient with sudden hearing loss on the right side with rotatory vertigo. The contrast enhancement was seen in the right cochlea (<b>A</b>) and vestibulum (<b>B</b>) on the axial delayed postcontrast 3D-FLAIR sequences. In the axial CT image, a dehiscence in the right superior semicircular canal was detected (<b>C</b>), which could also be confirmed as a nodular contrast enhancement (array) in 4 h delayed 3D-FLAIR sequences (<b>D</b>). About 1/3 of the fluid filling in the RW niche was observed on the axial CT (<b>E</b>).</p>
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<p>A 66-year-old male with a sudden hearing loss on the right side without vertigo or tinnitus. The contrast enhancement was seen in the right vestibulum and cochlea (array) with axial 4 h delayed 3D-FLAIR sequences.</p>
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<p>An 84-year-old male presented with an acute hearing loss on the right side with rotatory vertigo. The contrast enhancement was seen in the right vestibulum and basal turn of the cochlea on the 4 h delayed 3D-FLAIR sequences.</p>
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<p>An 85-year-old female presented with sudden hearing loss on the left side with rotatory vertigo. The contrast enhancement was seen in the left cochlea ((<b>A</b>) dashed arrow) on the axial 4 h delayed 3D-FLAIR sequences. The inversion of the saccule ((<b>A</b>) arrow) to the utricle ((<b>B</b>) arrow) area ratio was observed.</p>
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9 pages, 1543 KiB  
Article
Diagnosis of Eosinophilic Otitis Media Using Blood Eosinophil Levels
by Yeonsu Jeong, Gina Na, Jong-Gyun Ha, Dachan Kim, Junyup Kim and Seonghoon Bae
Diagnostics 2023, 13(23), 3598; https://doi.org/10.3390/diagnostics13233598 - 4 Dec 2023
Viewed by 1697
Abstract
Eosinophilic otitis media (EOM) is a rare middle ear disease with unfavorable outcomes. Under the current diagnostic criteria of EOM, it is challenging to suspect EOM before tympanostomy. Therefore, this study attempted to use blood eosinophil levels for the differential diagnosis of EOM [...] Read more.
Eosinophilic otitis media (EOM) is a rare middle ear disease with unfavorable outcomes. Under the current diagnostic criteria of EOM, it is challenging to suspect EOM before tympanostomy. Therefore, this study attempted to use blood eosinophil levels for the differential diagnosis of EOM from other conditions. Three disease groups with features of recurrent otorrhea were categorized, which included the following: EOM (n = 9), granulomatosis with polyangiitis (GPA, n = 12), and primary ciliary dyskinesia (PCD, n = 6). Clinical and radiological characteristics were analyzed in the three groups. Patients who underwent ventilation tube insertion due to serous otitis media were enrolled as the control group (n = 225) to evaluate the diagnostic validity of blood eosinophilia. The EOM group showed a significantly higher blood eosinophil concentration (p < 0.001) and blood eosinophil count (p < 0.001) compared to the GPA and PCD groups. The estimated sensitivity and specificity for diagnosing EOM from OME patients who underwent ventilation tube insertion were 100% and 95.6%, respectively. In addition, EOM tended to have protympanic space soft tissue density and a relatively clear retrotympanic space in temporal bone computerized tomography. Blood eosinophil evaluation is a significant clinical indicator of EOM. Furthermore, the assessment of exclusive protympanic soft tissue density can provide an additional diagnostic clue. Full article
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Figure 1
<p>Peripheral blood eosinophil concentration and count of each disease group. Bars and error bars indicate median and range, respectively. Grey box indicates interquartile range. The Kruskal–Wallis test and Dunn’s multiple comparisons test were used for statistical analysis. (EOM: eosinophilic otitis media; GPA: granulomatosis with polyangiitis; PCD: primary ciliary dyskinesia; ***: <span class="html-italic">p</span> &lt; 0.001; **: <span class="html-italic">p</span> &lt; 0.01.)</p>
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<p>Representative middle ear images in temporal bone computerized tomography of each disease group. Axial images at malleus umbo level are presented. Columns (<b>A</b>–<b>C</b>) indicate EOM, GPA, and PCD groups, respectively. EOM group showed soft tissue density in protympanic space and relatively clear retrotympanic space. (EOM: eosinophilic otitis media; GPA: granulomatosis with polyangiitis; PCD: primary ciliary dyskinesia.)</p>
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<p>Overlay map of normalized temporal bone showing the region-specific frequency of soft tissue densities in the middle ear.</p>
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11 pages, 2265 KiB  
Article
Diagnosing Middle Ear Malformation by Pure-Tone Audiometry Using a Three-Dimensional Finite Element Model: A Case-Control Study
by Shin-ichiro Kita, Toru Miwa, Rie Kanai, Yoji Morita, Sinyoung Lee, Takuji Koike and Shin-ichi Kanemaru
J. Clin. Med. 2023, 12(23), 7493; https://doi.org/10.3390/jcm12237493 - 4 Dec 2023
Cited by 2 | Viewed by 1571
Abstract
Background: Hearing loss caused by middle ear malformations is treated by tympanoplasty to reconstruct the acoustic conduction system. The mobility of the ossicles plays a crucial role in postoperative success. However, identifying the location of ossicular malformation based solely on preoperative audiograms is [...] Read more.
Background: Hearing loss caused by middle ear malformations is treated by tympanoplasty to reconstruct the acoustic conduction system. The mobility of the ossicles plays a crucial role in postoperative success. However, identifying the location of ossicular malformation based solely on preoperative audiograms is challenging due to the complex relationship between fixation location, deformity levels, and ossicular mobility. Methods: Middle ear finite element models for simulating ossicular malformations were created, and the results were compared with the actual preoperative audiograms. Results: This approach objectively diagnosed ossicular fixation and disarticulation, bypassing traditional criteria reliant on physician examination or imaging. Conclusion: This study suggests that future research should focus on developing a diagnostic framework utilizing large-scale data. Full article
(This article belongs to the Special Issue Current Updates on the Inner Ear)
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Figure 1
<p>Finite element model of the human middle ear. AML: anterior malleal ligament; PIL: posterior incudal ligament; SIL: superior incudal ligament; SAL: stapedial annular ligament; LML: lateral malleal ligament; SML: superior malleal ligament; PML: posterior malleal ligament.</p>
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<p>Audiograms and ossicular images of 3D-CT scans of every patient. (<b>a</b>) Patient 1, (<b>b</b>) Patient 2, (<b>c</b>) Patient 3, (<b>d</b>) Patient 4, (<b>e</b>) Patient 5, and (<b>f</b>) Patient 6. Red line indiceted right ear audiogram. Blue line indicated left ear audiogram.</p>
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<p>Simulation of the incus–stapes joint malformations. (<b>a</b>) FE model of the incus–stapes joint malformation. (<b>b</b>) Calculating audiograms by altering the cords’ Young’s modulus (1/10<sup>3</sup>–1/10<sup>5</sup>) and the shape of the cords’ cross-sectional area (Ver. 1: 1/4, Ver. 2: 1/16). (<b>c</b>) Calculating audiograms by changing the SAL Young’s modulus 10 times in Ver. 1 and Ver. 2. (<b>d</b>) Calculating audiograms by altering the SAL Young’s modulus with a Young’s modulus 1/10<sup>4</sup> times greater than that of the cords.</p>
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<p>Simulation of the stapes malformation. (<b>a</b>) FE model of the malformation of stapes. (<b>b</b>) Calculating audiograms by altering the cord-like object’s Young’s modulus and adding viscosity.</p>
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<p>Simulation of the malleus and incus malformation. (<b>a</b>) FE model of the malformation around the malleus and incus. (<b>b</b>) Calculating audiograms by changing the “Young’s modulus of every ligament to 100 times the normal value. (<b>c</b>) Calculating audiograms by changing the Young’s modulus of each ligament to that at ossification. (<b>d</b>) Calculating audiograms by changing the Young’s modulus of each ligament to that at” combined fixation.</p>
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11 pages, 3112 KiB  
Review
Imaging of Temporal Bone Mass Lesions: A Pictorial Review
by Marie N. Shimanuki, Takanori Nishiyama, Makoto Hosoya, Takeshi Wakabayashi, Hiroyuki Ozawa and Naoki Oishi
Diagnostics 2023, 13(16), 2665; https://doi.org/10.3390/diagnostics13162665 - 13 Aug 2023
Cited by 1 | Viewed by 4370
Abstract
Tumoral lesions of the temporal bone include benign or malignant tumors and congenital or inflammatory lesions. Temporal bone lesions are difficult to approach. Therefore, making a preoperative diagnosis and considering whether the lesions require treatment are necessary; if they require treatment, then the [...] Read more.
Tumoral lesions of the temporal bone include benign or malignant tumors and congenital or inflammatory lesions. Temporal bone lesions are difficult to approach. Therefore, making a preoperative diagnosis and considering whether the lesions require treatment are necessary; if they require treatment, then the type of treatment requires consideration. These tumors cannot be observed directly and must be diagnosed based on symptoms and imaging findings. However, the differentiation of temporal bone lesions is difficult because they are rare and large in variety. In this pictorial review, we divided temporal bone lesions by location such as along the facial nerve, along the internal jugular vein, around the endolymphatic sac, in the internal auditory canal/cerebellopontine angle, petrous apex, middle ear, and mastoid, focusing on the imaging findings of temporal bone lesions. Then, we created a diagnostic flowchart that suggested that the systematic separation of imaging findings is useful for differentiation. Although it is necessary to make comprehensive judgments based on the clinical symptoms, patient background, and imaging findings to diagnose temporal bone mass lesions, capturing imaging features can be a useful differentiation method. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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<p>Facial nerve schwannoma: (<b>a</b>) in CT, a soft-tissue shadow is seen in the external auditory canal, middle ear, and mastoid with evidence of bone erosion; (<b>b</b>) in contrasted T1-weighted images, a mass lesion is visualized in the middle ear, internal auditory canal, and cerebellopontine angle along the facial nerve, which shows enhancement.</p>
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<p>Paraganglioma (glomus jugulare): (<b>a</b>) paraganglioma shows moderate intensity with “salt and pepper” appearance in T2-weighted images (yellow triangle); (<b>b</b>) homogeneous enhancement in enhanced CT T1-weighted images(yellow triangle). Tumor extends along the internal jugular vein (red dashed line).</p>
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<p>Cholesterol granuloma (yellow triangle) shows hyperintensity in T1-weighted images (<b>a</b>) and heterogeneous hyperintensity in T2-weighted images (<b>b</b>).</p>
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<p>Epidermoids show hypointensity on T1 (<b>a</b>) and hyperintensity on T2 (<b>b</b>) with no enhancement (<b>c</b>). Hyperintensity in DW images is characteristic (<b>d</b>).</p>
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<p>A giant-cell reparative granuloma (yellow triangle), located in the anterior temporal bone, presents as an expansile lesion in CT (<b>a</b>). In MRI, it appears hypointense in both T1- and T2-weighted images (<b>b</b>) and does not exhibit enhancement in T1-weighted contrast-enhanced images (<b>c</b>).</p>
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<p>Flowchart for temporal bone tumors at petrous part.</p>
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<p>Flowchart for middle-ear tumors.</p>
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14 pages, 6330 KiB  
Article
Motion Artifact Suppression Method for the Clinical Application of Otoscopic Spectral-Domain Optical Coherence Tomography
by Sergey Y. Ksenofontov, Pavel A. Shilyagin, Valentin M. Gelikonov and Grigory V. Gelikonov
Photonics 2023, 10(7), 736; https://doi.org/10.3390/photonics10070736 - 27 Jun 2023
Viewed by 961
Abstract
A compact OCT device and a method for image reconstruction are described. The proposed algorithm contains a novel procedure for motion artifact suppression based on a correction of the phase of the original interferometric signal due to the mutual correlation of adjacent A-scans. [...] Read more.
A compact OCT device and a method for image reconstruction are described. The proposed algorithm contains a novel procedure for motion artifact suppression based on a correction of the phase of the original interferometric signal due to the mutual correlation of adjacent A-scans. This procedure corrects distortions caused by unwanted displacements of the probe relative to the object in real time at a speed of up to 3 mm/s and an image acquisition rate of 20 B-scans per second. All processing is performed in real time using only the CPU, allowing the device to be controlled from a consumer-grade laptop or compact PC without the need for a discrete GPU. Due to its compact size, the device can be used in the conditions of an ENT examination room or operating room and can be freely moved to another room without the help of additional personnel, if necessary. Full article
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<p>The base block and the handheld probe of the SDOCT otoscopic system.</p>
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<p>A schematic diagram showing the SDOCT otoscopic system. 1—LED backlight; 2—collimating lens; 3—partially transparent mirror; 4—scanning mirror; 5—focusing element; 6—dichroic mirror; 7—magnifier; 8—standard ear speculum; 9—exit window; 10—surface of the eardrum; 11—prism; 12—reference arm reflector with modulated length; 13—mirror; 14—USB video camera assembly; 15—probing radiation source; 16—fiber circulator; 17—data acquisition and control module; 18—collimating element with fiber-optic interface; 19—mirror; 20—diffraction grating; 21—components of a composite prism corrector; 22—focusing element; 23—line scan sensor.</p>
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<p>A frame showing a real-time video image of the eardrum. Scale bar 0.5 mm.</p>
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<p>An example of the multiplier <math display="inline"><semantics><mrow><msub><mrow><mi>D</mi></mrow><mrow><mi>w</mi></mrow></msub></mrow></semantics></math>.</p>
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<p>Result of SDOCT image synthesis using transformations (3)–(5) when the surface of the test object is orthogonal to the direction of the probing beam (<b>a</b>) and not orthogonal (<b>b</b>). The images were obtained for the same phantom (silicone film on a sticky tape) tilted to the probing wave at different angles. Scale bar 0.5 mm.</p>
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<p>An example of the multiplier <math display="inline"><semantics><mrow><msubsup><mrow><mi>D</mi></mrow><mrow><mi>X</mi></mrow><mrow><mo>′</mo></mrow></msubsup></mrow></semantics></math>.</p>
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<p>Result of SDOCT image synthesis using transformations (6)–(9). The image was obtained for a silicone film phantom located on a sticky tape tilted to the probing wave. Scale bar 0.5 mm.</p>
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<p>Illustration showing partial mutual overlap of neighboring A-scans.</p>
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<p>The results of transformations (6)–(9) and (10)–(19) at different speeds of the longitudinal movement of the test object. The images were obtained for a silicone film phantom located on sticky tape tilted to the probing wave and shifted with different velocities in the probing direction. Scale bar 0.5 mm.</p>
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<p>A voxel 3D image of the human eardrum obtained with the otoscopic SDOCT system.</p>
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12 pages, 2201 KiB  
Article
Dynamic Microscopic Optical Coherence Tomography as a New Diagnostic Tool for Otitis Media
by Anke Leichtle, Zuzana Penxova, Thorge Kempin, David Leffers, Martin Ahrens, Peter König, Ralf Brinkmann, Gereon Hüttmann, Karl-Ludwig Bruchhage and Hinnerk Schulz-Hildebrandt
Photonics 2023, 10(6), 685; https://doi.org/10.3390/photonics10060685 - 13 Jun 2023
Cited by 1 | Viewed by 2120
Abstract
Hypothesis: Otitis media (OM) can be successfully visualized and diagnosed by dynamic microscopic optical coherence tomography (dmOCT). Background: OM is one of the most common infectious diseases and, according to the WHO, one of the leading health problems with high mortality in developing [...] Read more.
Hypothesis: Otitis media (OM) can be successfully visualized and diagnosed by dynamic microscopic optical coherence tomography (dmOCT). Background: OM is one of the most common infectious diseases and, according to the WHO, one of the leading health problems with high mortality in developing countries. Despite intensive research, the only definitive treatment of therapy-refractory OM for decades has been the surgical removal of inflamed tissue. Thereby, the intra-operative diagnosis is limited to the surgeon’s visual impression. Supportive imaging modalities have been little explored and have not found their way into clinical application. Finding imaging techniques capable of identifying inflamed tissue intraoperatively, therefore, is of significant clinical relevance. Methods: This work investigated a modified version of optical coherence tomography with a microscopic resolution (mOCT) regarding its ability to differentiate between healthy and inflamed tissue. Despite its high resolution, the differentiation of single cells with mOCT is often impossible. A new form of mOCT termed dynamic mOCT (dmOCT) achieves cellular contrast using micro-movements within cells based on their metabolism. It was used in this study to establish correlative measurements with histology. Results: Using dmOCT, images with microscopic resolution were acquired on ex vivo tissue samples of chronic otitis media and cholesteatoma. Imaging with dmOCT allowed the visualization of specific and characteristic cellular and subcellular structures in the cross-sectional images, which can be identified only to a limited extent in native mOCT. Conclusion: We demonstrated for the first time a new marker-free visualization in otitis media based on intracellular motion using dmOCT. Full article
(This article belongs to the Special Issue Optical Diagnostics)
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<p>Schematic drawing of the mOCT setup showing the various components used for scanning and data acquisition. The setup includes a 50/50 fiber coupler (FC), collimators (C1/C2), galvanometer mirror scanners (XY scanner), beam expander lenses (L1, L2), a microscope objective (L3), dispersion compensation (DC), a retroreflector (RR), a data acquisition device (DAQ), and a computer (PC) for scanning control and data processing.</p>
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<p>Comparison of conventional and dynamic mOCT in tissue samples extracted from the middle ear from a patient suffering from chronic otitis media (<b>a</b>,<b>c</b>) and a patient suffering from cholesteatoma (<b>b</b>,<b>d</b>). The different cells and tissue types are challenging to differentiate in the traditional mOCT images of otitis media mesotympanalis (<b>a</b>) and cholesteatoma (<b>b</b>). The dynamic mOCT empowers a significant increase in contrast, so that even individual cell types and tissue regions in the otitis media (<b>c</b>) as well as in the cholesteatoma (<b>d</b>) are visible.</p>
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<p>Overview of macroscopic tissue samples of the middle ear and their dmOCT image. Exemplary images of extracted tissue from the middle ear (<b>a</b>): epitympanic polyp (<b>b</b>), cholesteatoma (<b>c</b>), and middle ear mucosa (<b>d</b>). The different cells and tissue types can be clearly differentiated in the dmOCT images. The signal fluctuations inside the cells are represented and coded as an RGB image (red—fast motion (5–25 Hz), green—medium movements (0.5–5 Hz), and blue—slow motion frequencies (0–0.5 Hz)).</p>
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<p>Distinct first-time 3D image of cholesteatoma using dmOCT (<b>a</b>). En face representation (<b>b</b>) shows visualized surface structures with different cells and tissue types of the matrix and keratin layers. The B-scan (<b>c</b>) displays this characteristic picture of a non-inflamed cholesteatoma, confirming cell structures with minimal signal fluctuations. H&amp;E-stained histological section of the cholesteatoma (<b>d</b>). An RGB image depicts the evaluated activity of the cellular scattering structures (red—fast motion (5–25 Hz), green—medium movements (0.5–5 Hz), and blue—slow motion frequencies (0–0.5 Hz)).</p>
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<p>3D image of an epitympanic polyp and visualization of cell migration using dmOCT (<b>a</b>). En face representations of the polyp (<b>b</b>–<b>e</b>) show visualized surface structures with different cells and tissue types of the matrix, peri-matrix, and keratin layers. In the time-series of B-scans (<b>f</b>), live cell movement was observed. H&amp;E-stained histological section of the polyp (<b>g</b>). An RGB image depicts the evaluated cellular movement activity (red—fast motion (5–25 Hz), green—medium movements (0.5–5 Hz) and blue—slow motion frequencies (0–0.5 Hz)).</p>
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14 pages, 3027 KiB  
Article
Hospital Admission Profile Related to Inner Ear Diseases in England and Wales
by Esra’ O. Taybeh and Abdallah Y. Naser
Healthcare 2023, 11(10), 1457; https://doi.org/10.3390/healthcare11101457 - 17 May 2023
Viewed by 1538
Abstract
Background: Due to an expansion in the usage of medications (such as anticancer therapies), increased exposure to noise, and an increase in life expectancy, the prevalence of inner ear disease-related hearing loss is rising. Diseases of the inner ear are frequently accompanied by [...] Read more.
Background: Due to an expansion in the usage of medications (such as anticancer therapies), increased exposure to noise, and an increase in life expectancy, the prevalence of inner ear disease-related hearing loss is rising. Diseases of the inner ear are frequently accompanied by other conditions, such as chronic heart failure, systemic inflammation, arterial hypertension, and cerebrovascular disease. The aim of this study was to investigate the profile of hospital admissions linked to inner ear diseases in England and Wales. Method: This was an ecological descriptive study using public medical databases in England and Wales. Diagnostic codes for diseases of the inner ear (H80–H83) were used to identify all hospital admissions. Between 1999 and 2020, the chi-squared test was used to assess the difference between the admission rates. Results: From 5704 in 1999 to 19,097 in 2020, the total annual number of hospital admissions increased by 234.8%, which corresponds to a 192.3% increase in the admission rate [from 10.94 (95% CI 10.66–11.22) in 1999 to 31.98 (95% CI 31.52–32.43) in 2020 per 100,000 people, p < 0.01]. “Disorders of vestibular function” and “other inner ear diseases” were the most frequent causes of hospital admissions due to inner ear diseases, accounting for 47.6% and 43.6%, respectively. The age range of 15 to 59 years accounted for 42.3% of all diseases of the inner ear hospital admissions. Around 59.6% of all admissions were made by females. The female admission rate increased by 210.1% (from 12.43 (95% CI 12.01–12.85) in 1999 to 38.54 (95% CI 37.84–39.24) in 2020 per 100,000 people). The male admission rate for diseases of the inner ear increased by 169.6% [from 9.37 (95% CI 9.00–9.75) in 1999 to 25.26 (95% CI 24.69–25.84) per 100,000 people] in 2020. Conclusion: Inner ear disease admissions increased markedly in England and Wales during the past two decades. Females and the middle-aged population were at higher risk of being admitted for inner ear diseases. Further cohort studies are warranted to identify other risk factors and develop effective prevention strategies. Full article
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<p>Admission rates stratified by type between 1999 and 2020.</p>
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<p>Admission rates stratified by age.</p>
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<p>Admission rates stratified by gender.</p>
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<p>Admission rates stratified by gender and indication.</p>
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<p>Admission rates stratified by gender and indication.</p>
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<p>Admission rates stratified by age and indication.</p>
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9 pages, 12160 KiB  
Article
Encephalocraniocutaneous Lipomatosis, a Radiological Challenge: Two Atypical Case Reports and Literature Review
by Magdalena Machnikowska-Sokołowska, Piotr Fabrowicz, Jacek Pilch, Weronika Roesler, Mikołaj Kuźniak, Katarzyna Gruszczyńska and Justyna Paprocka
Brain Sci. 2022, 12(12), 1641; https://doi.org/10.3390/brainsci12121641 - 30 Nov 2022
Cited by 1 | Viewed by 2075
Abstract
Encephalocraniocutaneous lipomatosis (ECCL; Haberland syndrome, #613001) is an extremely rare congenital disorder that is manifested by the involvement of the skin, eyes and central nervous system (CNS). We report two cases of children with ECCL diagnosis. First was an 8-year-old girl who presented [...] Read more.
Encephalocraniocutaneous lipomatosis (ECCL; Haberland syndrome, #613001) is an extremely rare congenital disorder that is manifested by the involvement of the skin, eyes and central nervous system (CNS). We report two cases of children with ECCL diagnosis. First was an 8-year-old girl who presented with symptomatic epilepsy, cerebral palsy and developmental delay. In 2020, she was admitted to the hospital due to the exacerbation of paresis and intensified prolonged epileptic seizures, provoked by infection of the middle ear. Diagnostic imaging revealed radiological changes suggestive of ECCL, providing a reason for the diagnosis, despite the lack of skin and eye anomalies. The second child, a 14-year-old girl, was consulted for subtle clinical signs and epilepsy suspicion. Diagnostic imaging findings were similar, though less pronounced. Based on neuroradiological abnormalities typical for Haberland syndrome, the authors discuss possible ECCL diagnosis. Full article
(This article belongs to the Section Neuropharmacology and Neuropathology)
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<p>(<b>a</b>–<b>d</b>) Patient 1. Head CT brain window: (<b>a</b>) axial and (<b>b</b>) reformatted coronal plane; hemiatrophy of left hemisphere, left ventriculomegaly, meningeal lipomatosis, arachnoid cyst in temporal fossa and gyral calcifications; (<b>c</b>) bone window coronal reformatted plane: extensive left sided gyral calcifications; (<b>d</b>) axial plain—left arachnoid cyst.</p>
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<p>(<b>a</b>–<b>d</b>) Patient 1. Brain MR (<b>a</b>) axial T1—left-sided polymicrogyria, hemiatrophy and meningeal lipomatosis; (<b>b</b>) axial T2—left-sided hemiatrophy, ventriculomegaly and polymicrogyria; (<b>c</b>) sagittal T2—as above, and left temporal space enlargement (arachnoid cyst) with lipomatous tissue; (<b>d</b>) axial T1 with contrast—meningeal enhancement along gyri of left hemisphere.</p>
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<p>(<b>a</b>–<b>c</b>) Patient 1. Brain CT—left parietal and temporal gyral calcifications. (<b>a</b>,<b>b</b>) CT in axial brain window and coronal reformatted bone window; (<b>c</b>) MRI SWI sensitive to calcium/blood metabolites.</p>
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<p>(<b>a</b>–<b>c</b>) Patient 2. Brain MR in axial plane. (<b>a</b>,<b>b</b>) T2 flair—left-sided frontal meningeal lipomatosis; (<b>c</b>) SWI—subtle calcification artifacts.</p>
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<p>(<b>a</b>–<b>c</b>) Patient 2. Brain MR (<b>a</b>,<b>b</b>) axial T1- left-sided meningeal lipomatosis; (<b>c</b>) sagittal T1—minimal space enlargement without arachnoid cyst with lipomatous tissue.</p>
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<p>(<b>a</b>–<b>d</b>) Patient 2. Brain MR, T1 sequence after contrast enhancement: (<b>a</b>) axial; (<b>b</b>) thin-slice axial; (<b>c</b>,<b>d</b>) T1 multiplanar reconstructions: (<b>c</b>) sagittal and (<b>d</b>) coronal–meningeal enhancement along gyri of left hemisphere—frontal lobe.</p>
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<p>(<b>a</b>–<b>d</b>) Patient 2. Brain CT: gyral calcifications in left frontal lobe, coexisting subtle arachnoid space enlargement with small fat tissue amount. (<b>a</b>,<b>b</b>) Axial and reformatted coronal brain window—fat tissue; (<b>c</b>,<b>d</b>) left frontal calcifications: coronal reformatted (<b>c</b>) bone window and (<b>d</b>) brain window.</p>
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11 pages, 290 KiB  
Article
The Absence of Permanent Sensorineural Hearing Loss in a Cohort of Children with SARS-CoV-2 Infection and the Importance of Performing the Audiological “Work-Up”
by Rita Malesci, Davide Rizzo, Valeria Del Vecchio, Nicola Serra, Giuseppe Tarallo, Domenico D’Errico, Valentina Coronella, Francesco Bussu, Andrea Lo Vecchio, Gennaro Auletta, Annamaria Franzè and Anna Rita Fetoni
Children 2022, 9(11), 1681; https://doi.org/10.3390/children9111681 - 1 Nov 2022
Cited by 4 | Viewed by 1811
Abstract
Background: Currently, the novel coronavirus (SARS-CoV-2) causes an acute respiratory illness named COVID-19 and is a controversial risk factor for hearing loss (HL). Herein, we aim to describe the associated symptoms and to evaluate hearing function in the COVID-19 pediatric population. Methods: A [...] Read more.
Background: Currently, the novel coronavirus (SARS-CoV-2) causes an acute respiratory illness named COVID-19 and is a controversial risk factor for hearing loss (HL). Herein, we aim to describe the associated symptoms and to evaluate hearing function in the COVID-19 pediatric population. Methods: A retrospective cross-sectional observational study was carried out on 37 children who contracted COVID-19 infection with no previous audio-vestibular disorders. Clinical data on the infections were collected, and an audiological assessment of all affected children was performed by using different diagnostic protocols according to their age. Results: Fever, upper respiratory and gastrointestinal manifestations were common presentations of infection. Audiological function was normal in 30 (81.08%) children, while 7 children showed an increased hearing threshold: 6 (16.21%) had transient conductive hearing loss (CHL) due to middle ear effusion and normalized at the follow-up and 1 had sensorineural hearing loss (SNHL). A single child was affected by bilateral SNHL (2.7%); however, he underwent a complete audiological work-up leading to a diagnosis of genetic HL due to a MYO6 gene mutation which is causative of progressive or late onset SNHL. Conclusions: HL needs to be considered among the manifestations of COVID-19 in children, nevertheless, we found cases of transient CHL. The onset of HL during or following COVID-19 infection does not eliminate the indication for maintaining audiological surveillance and audiological work-ups, including genetic diagnosis, to avoid the risk of mistaking other causes of HL. Full article
13 pages, 1555 KiB  
Review
Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future
by Hussein Abdellatif, Mohamed Al Mushaiqri, Halima Albalushi, Adhari Abdullah Al-Zaabi, Sadhana Roychoudhury and Srijit Das
Int. J. Environ. Res. Public Health 2022, 19(21), 14209; https://doi.org/10.3390/ijerph192114209 - 31 Oct 2022
Cited by 22 | Viewed by 7209
Abstract
Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile and of voluminous content, given the complex nature of the human body. Students frequently face learning constraints in these fledgling years of medical education, often resulting in [...] Read more.
Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile and of voluminous content, given the complex nature of the human body. Students frequently face learning constraints in these fledgling years of medical education, often resulting in a spiraling dwindling academic performance. Hence, there have been continued efforts directed at developing new curricula and incorporating new methods of teaching, learning and assessment that are aimed at logical learning and long-term retention of anatomical knowledge, which is a mainstay of all medical practice. In recent years, artificial intelligence (AI) has gained in popularity. AI uses machine learning models to store, compute, analyze and even augment huge amounts of data to be retrieved when needed, while simultaneously the machine itself can be programmed for deep learning, improving its own efficiency through complex neural networks. There are numerous specific benefits to incorporating AI in education, which include in-depth learning, storage of large electronic data, teaching from remote locations, engagement of fewer personnel in teaching, quick feedback from responders, innovative assessment methods and user-friendly alternatives. AI has long been a part of medical diagnostics and treatment planning. Extensive literature is available on uses of AI in clinical settings, e.g., in Radiology, but to the best of our knowledge there is a paucity of published data on AI used for teaching, learning and assessment in anatomy. In the present review, we highlight recent novel and advanced AI techniques such as Artificial Neural Networks (ANN), or more complex Convoluted Neural Networks (CNN) and Bayesian U-Net, which are used for teaching anatomy. We also address the main advantages and limitations of the use of AI in medical education and lessons learnt from AI application during the COVID-19 pandemic. In the future, studies with AI in anatomy education could be advantageous for both students to develop professional expertise and for instructors to develop improved teaching methods for this vast and complex subject, especially with the increasing paucity of cadavers in many medical schools. We also suggest some novel examples of how AI could be incorporated to deliver augmented reality experiences, especially with reference to complex regions in the human body, such as neural pathways in the brain, complex developmental processes in the embryo or in complicated miniature regions such as the middle and inner ear. AI can change the face of assessment techniques and broaden their dimensions to suit individual learners. Full article
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<p>Methods of anatomy learning.</p>
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<p>Advantages of artificial intelligence in the process of medical education.</p>
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<p>Anatomy assessment in era of artificial intelligence.</p>
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<p>Schematic diagram showing how artificial intelligence can be incorporated in anatomy teaching.</p>
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16 pages, 2196 KiB  
Article
Smartphone-Enabled versus Conventional Otoscopy in Detecting Middle Ear Disease: A Meta-Analysis
by Chih-Hao Chen, Chii-Yuan Huang, Hsiu-Lien Cheng, Heng-Yu Haley Lin, Yuan-Chia Chu, Chun-Yu Chang, Ying-Hui Lai, Mao-Che Wang and Yen-Fu Cheng
Diagnostics 2022, 12(4), 972; https://doi.org/10.3390/diagnostics12040972 - 13 Apr 2022
Cited by 4 | Viewed by 2495
Abstract
Traditional otoscopy has some limitations, including poor visualization and inadequate time for evaluation in suboptimal environments. Smartphone-enabled otoscopy may improve examination quality and serve as a potential diagnostic tool for middle ear diseases using a telemedicine approach. The main objectives are to compare [...] Read more.
Traditional otoscopy has some limitations, including poor visualization and inadequate time for evaluation in suboptimal environments. Smartphone-enabled otoscopy may improve examination quality and serve as a potential diagnostic tool for middle ear diseases using a telemedicine approach. The main objectives are to compare the correctness of smartphone-enabled otoscopy and traditional otoscopy and to evaluate the diagnostic confidence of the examiner via meta-analysis. From inception through 20 January 2022, the Cochrane Library, PubMed, EMBASE, Web of Science, and Scopus databases were searched. Studies comparing smartphone-enabled otoscopy with traditional otoscopy regarding the outcome of interest were eligible. The relative risk (RR) for the rate of correctness in diagnosing ear conditions and the standardized mean difference (SMD) in diagnostic confidence were extracted. Sensitivity analysis and trial sequential analyses (TSAs) were conducted to further examine the pooled results. Study quality was evaluated by using the revised Cochrane risk of bias tool 2. Consequently, a total of 1840 examinees were divided into the smartphone-enabled otoscopy group and the traditional otoscopy group. Overall, the pooled result showed that smartphone-enabled otoscopy was associated with higher correctness than traditional otoscopy (RR, 1.26; 95% CI, 1.06 to 1.51; p = 0.01; I2 = 70.0%). Consistently significant associations were also observed in the analysis after excluding the simulation study (RR, 1.10; 95% CI, 1.00 to 1.21; p = 0.04; I2 = 0%) and normal ear conditions (RR, 1.18; 95% CI, 1.01 to 1.40; p = 0.04; I2 = 65.0%). For the confidence of examiners using both otoscopy methods, the pooled result was nonsignificant between the smartphone-enabled otoscopy and traditional otoscopy groups (SMD, 0.08; 95% CI, -0.24 to 0.40; p = 0.61; I2 = 16.3%). In conclusion, smartphone-enabled otoscopy was associated with a higher rate of correctness in the detection of middle ear diseases, and in patients with otologic complaints, the use of smartphone-enabled otoscopy may be considered. More large-scale studies should be performed to consolidate the results. Full article
(This article belongs to the Special Issue Advances in Diagnostics of Otology and Neurotology)
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<p>Illustration of Trial Sequential Analysis (TSA). Area 1 between sequential monitoring boundary and inner wedge indicated the inconclusive result which may suffer from false positive (Area 1a) or false negative (Area 1b), more sample size is required for further consolidate conclusion. Area 2 demonstrate conclusive result of significant effect of experimental group or control group, while Area 3 indicate the conclusive result of non-significance between experimental group and control group.</p>
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<p>The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.</p>
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<p>Overall comparison between smartphone-enabled otoscopy and traditional otoscopy [<a href="#B11-diagnostics-12-00972" class="html-bibr">11</a>,<a href="#B41-diagnostics-12-00972" class="html-bibr">41</a>,<a href="#B42-diagnostics-12-00972" class="html-bibr">42</a>,<a href="#B43-diagnostics-12-00972" class="html-bibr">43</a>].</p>
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<p>Sensitivity analysis after excluding the simulation study [<a href="#B11-diagnostics-12-00972" class="html-bibr">11</a>,<a href="#B41-diagnostics-12-00972" class="html-bibr">41</a>,<a href="#B42-diagnostics-12-00972" class="html-bibr">42</a>].</p>
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<p>Sensitivity analysis after excluding normal ear conditions [<a href="#B11-diagnostics-12-00972" class="html-bibr">11</a>,<a href="#B41-diagnostics-12-00972" class="html-bibr">41</a>,<a href="#B42-diagnostics-12-00972" class="html-bibr">42</a>,<a href="#B43-diagnostics-12-00972" class="html-bibr">43</a>].</p>
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<p>Confidence comparison between smartphone-enabled otoscopy and traditional otoscopy [<a href="#B11-diagnostics-12-00972" class="html-bibr">11</a>,<a href="#B43-diagnostics-12-00972" class="html-bibr">43</a>].</p>
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<p>Influence analysis of the overall result of comparison between smartphone-enabled otoscopy and traditional otoscopy [<a href="#B11-diagnostics-12-00972" class="html-bibr">11</a>,<a href="#B41-diagnostics-12-00972" class="html-bibr">41</a>,<a href="#B42-diagnostics-12-00972" class="html-bibr">42</a>,<a href="#B43-diagnostics-12-00972" class="html-bibr">43</a>].</p>
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<p>Trial sequential analysis (TSA) of overall comparison between smartphone-enabled otoscopy and traditional otoscopy.</p>
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<p>Trial sequential analysis (TSA) of sensitivity analysis by excluding the simulation study.</p>
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<p>Trial sequential analysis (TSA) of sensitivity analysis by excluding normal ear conditions.</p>
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<p>TSA of the confidence comparison between smartphone-enabled otoscopy and traditional otoscopy.</p>
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