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Search Results (1,177)

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12 pages, 757 KiB  
Article
Information Behaviour and Knowledge of Patients Before Radical Prostatectomy
by Christopher Hirtsiefer, Anna Vogelgesang, Fabian Falkenbach, Mona Kafka, Annemarie Uhlig, Tim Nestler, Cem Aksoy, Iva Simunovic, Johannes Huber, Isabel Heidegger, Markus Graefen, Marianne Leitsmann, Christian Thomas and Martin Baunacke
Cancers 2025, 17(2), 300; https://doi.org/10.3390/cancers17020300 - 17 Jan 2025
Viewed by 204
Abstract
Background/Objectives: Robot-assisted and open radical prostatectomy (RARP and ORP) are established procedures for localized prostate cancer, with comparable oncological and functional outcomes. Little is known about patients’ knowledge of both procedures. This study aimed to examine comparatively the informational behaviour and knowledge of [...] Read more.
Background/Objectives: Robot-assisted and open radical prostatectomy (RARP and ORP) are established procedures for localized prostate cancer, with comparable oncological and functional outcomes. Little is known about patients’ knowledge of both procedures. This study aimed to examine comparatively the informational behaviour and knowledge of patients undergoing ORP vs. RARP. Methods: This prospective, multicentre study included patients who underwent RARP or ORP prior to presurgery counselling. The questionnaires gathered information about patients’ information-seeking behaviours and their assessment of outcomes for RARP vs. ORP. We investigated risk factors for the misperception of procedure outcomes. Results: A total of 508 patients were included (307 RARP (60%); 201 ORP (40%)). The most common sources of information were outpatient urologists (84%), urologic departments (67%) and the internet (57%). Compared with ORP, RARP patients more often received the same amount of information about both procedures (60% vs. 40%, p < 0.001). Compared with ORP, RARP patients wrongfully considered their procedure to be superior in terms of oncological and functional outcomes. In the multivariable analysis, age > 66 years (OR 2.1, p = 0.02), no high school degree (OR 1.9, p = 0.04), unbalanced information search (OR 2.4, p = 0.02), RARP patient status (OR 8.9, p < 0.001), and treatment at a centre offering only one procedure (OR 3.5, p < 0.001) were independent predictors of misperception. Conclusions: RARP patients wrongfully considered their intervention to be oncologically and functionally more beneficial than ORP patients perceived it to be. This may be due to unbalanced sources of information. Urologists and surgical centres must address this misperception to enable patients to make informed decisions. Full article
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<p>The number of patients rating different sources of information as important.</p>
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<p>Distribution of preoperative perceptions of oncologic outcomes, postoperative erectile function and incontinence in ORP and RARP patients. ORP = open radical prostatectomy, RARP = robotic-assisted radical prostatectomy.</p>
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13 pages, 1208 KiB  
Article
Robotic Versus Sternotomy, Thoracotomy and Video-Thoracoscopy Approaches for Thymoma Resection: A Comparative Analysis of Short-Term Results
by Beatrice Trabalza Marinucci, Matteo Tiracorrendo, Camilla Vanni, Fabiana Messa, Giorgia Piccioni, Alessandra Siciliani, Silvia Fiorelli, Mohsen Ibrahim, Erino A. Rendina and Antonio D’Andrilli
J. Pers. Med. 2025, 15(1), 34; https://doi.org/10.3390/jpm15010034 - 17 Jan 2025
Viewed by 174
Abstract
OBJECTIVE. The optimal surgical approach for thymoma resection is still an object of debate. The increasing experience in robotic-assisted thoracic surgery (RATS) has led to the progressive affirmation of this technique as a valid alternative to Sternotomy, Thoracotomy and Video-Assisted Thoracic Surgery [...] Read more.
OBJECTIVE. The optimal surgical approach for thymoma resection is still an object of debate. The increasing experience in robotic-assisted thoracic surgery (RATS) has led to the progressive affirmation of this technique as a valid alternative to Sternotomy, Thoracotomy and Video-Assisted Thoracic Surgery (VATS) in this setting. The present study aims to compare the post-operative and short-term results of RATS Thymectomy for thymoma with those of other main surgical approaches (sternotomy, thoracotomy and VATS) from a high-volume single center. METHODS. Between May 2021 and September 2023, 40 consecutive patients underwent RATS Thymectomy for stage I to limited-stage III thymoma in our center. Three homogenous groups of patients who received thymoma resection through main alternative approaches (sternotomy, thoracotomy, VATS) over the last 5 years, were identified in order to perform a comparative analysis. Data including surgery duration, associated resections, conversion rate, overall morbidity, tumor size, radicality of resection, post-operative pain, length of hospital stay and cosmetic results were retrospectively collected and compared between the RATS and each control group. RESULTS. Mean tumor size was higher in the sternotomy group, but not significantly. The mean operative time of RATS interventions was significantly lower than that of sternotomy and VATS. It was significantly shorter compared to thoracotomy if excluding docking-undocking time. A higher rate of associated adjacent structures resection was reported in the sternotomy group (p = 0.005). Conversion rate was significantly higher in the VATS group (p = 0.026) compared to RATS. Post-operative pain at 24 and 48 h was significantly lower in the RATS group compared to the others. Improved cosmetics results were reported after RATS compared to sternotomy (p = 0.0001) and thoracotomy (p = 0.001) groups, with a trend towards better results compared to VATS (p = 0.05). Length of hospital stay was shorter in the RATS group with a significant difference vs. the sternotomy group (p < 0.001). CONCLUSIONS. These results from a single center confirm the safety and efficacy of RATS for the treatment of limited stage thymoma. An advantage in terms of operative outcomes, post-operative pain, cosmetic results and hospital stay was observed if compared to the alternative approaches. The short-term oncologic outcome was excellent based on the high complete resection rate of the tumor. Full article
(This article belongs to the Section Methodology, Drug and Device Discovery)
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<p>Preoperative CT scan image of thymoma undergoing RATS Thymectomy and thymomectomy with partial resection of the left innominate vein at CT scan.</p>
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<p>Propensity score matching analysis.</p>
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<p>Intraoperative view of a 9-cm thymoma undergoing resection with RATS approach.</p>
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25 pages, 1047 KiB  
Review
Artificial Intelligence in Cardiac Surgery: Transforming Outcomes and Shaping the Future
by Vasileios Leivaditis, Eleftherios Beltsios, Athanasios Papatriantafyllou, Konstantinos Grapatsas, Francesk Mulita, Nikolaos Kontodimopoulos, Nikolaos G. Baikoussis, Levan Tchabashvili, Konstantinos Tasios, Ioannis Maroulis, Manfred Dahm and Efstratios Koletsis
Clin. Pract. 2025, 15(1), 17; https://doi.org/10.3390/clinpract15010017 - 14 Jan 2025
Viewed by 299
Abstract
Background: Artificial intelligence (AI) has emerged as a transformative technology in healthcare, with its integration into cardiac surgery offering significant advancements in precision, efficiency, and patient outcomes. However, a comprehensive understanding of AI’s applications, benefits, challenges, and future directions in cardiac surgery is [...] Read more.
Background: Artificial intelligence (AI) has emerged as a transformative technology in healthcare, with its integration into cardiac surgery offering significant advancements in precision, efficiency, and patient outcomes. However, a comprehensive understanding of AI’s applications, benefits, challenges, and future directions in cardiac surgery is needed to inform its safe and effective implementation. Methods: A systematic review was conducted following PRISMA guidelines. Literature searches were performed in PubMed, Scopus, Cochrane Library, Google Scholar, and Web of Science, covering publications from January 2000 to November 2024. Studies focusing on AI applications in cardiac surgery, including risk stratification, surgical planning, intraoperative guidance, and postoperative management, were included. Data extraction and quality assessment were conducted using standardized tools, and findings were synthesized narratively. Results: A total of 121 studies were included in this review. AI demonstrated superior predictive capabilities in risk stratification, with machine learning models outperforming traditional scoring systems in mortality and complication prediction. Robotic-assisted systems enhanced surgical precision and minimized trauma, while computer vision and augmented cognition improved intraoperative guidance. Postoperative AI applications showed potential in predicting complications, supporting patient monitoring, and reducing healthcare costs. However, challenges such as data quality, validation, ethical considerations, and integration into clinical workflows remain significant barriers to widespread adoption. Conclusions: AI has the potential to revolutionize cardiac surgery by enhancing decision making, surgical accuracy, and patient outcomes. Addressing limitations related to data quality, bias, validation, and regulatory frameworks is essential for its safe and effective implementation. Future research should focus on interdisciplinary collaboration, robust testing, and the development of ethical and transparent AI systems to ensure equitable and sustainable advancements in cardiac surgery. Full article
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<p>PRISMA flow diagram outlining the identification, screening, eligibility, and inclusion process of studies for this systematic review on artificial intelligence in cardiac surgery. A total of 1236 records were identified, with 103 studies meeting the inclusion criteria following rigorous screening and eligibility assessments.</p>
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<p>This diagram illustrates the integration of AI across the cardiac surgery workflow, encompassing preoperative planning, intraoperative guidance, and postoperative management. Key applications include AI-driven imaging and risk stratification during preoperative planning, predictive models and robotic assistance for intraoperative guidance, and real-time complication monitoring and personalized follow-up care in postoperative management. The arrows represent the sequential flow of care phases, highlighting the comprehensive role of AI in enhancing precision, decision making, and patient outcomes throughout the continuum of cardiac surgery.</p>
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18 pages, 1434 KiB  
Article
Robotic-Assisted Colon Cancer Surgery: Faster Recovery and Less Pain Compared to Laparoscopy in a Retrospective Propensity-Matched Study
by Chun-Yu Lin, Yi-Chun Liu, Chou-Chen Chen, Ming-Cheng Chen, Teng-Yi Chiu, Yi-Lin Huang, Shih-Wei Chiang, Chang-Lin Lin, Ying-Jing Chen, Chen-Yan Lin and Feng-Fan Chiang
Cancers 2025, 17(2), 243; https://doi.org/10.3390/cancers17020243 - 13 Jan 2025
Viewed by 369
Abstract
Background and Objective: Colorectal cancer (CRC) is the third most common cancer worldwide, with colon cancer accounting for approximately 60% of all CRC cases. Surgery remains the primary and most effective treatment. Robotic-assisted surgery (RAS) has emerged as a promising approach for [...] Read more.
Background and Objective: Colorectal cancer (CRC) is the third most common cancer worldwide, with colon cancer accounting for approximately 60% of all CRC cases. Surgery remains the primary and most effective treatment. Robotic-assisted surgery (RAS) has emerged as a promising approach for colon cancer resection. This retrospective study compares RAS and laparoscopic-assisted surgery (LSS) for stage I–III colon cancer resections at a single medical center in East Asia. Methods: Between 1 January 2018, and 29 February 2024, patients undergoing colectomy were classified into right-side and left-side colectomies. Propensity score matching was conducted based on age group, gender, ASA score, and BMI to ensure comparability between groups. After matching, there were 50 RAS and 200 LSS cases for right colectomy (RC), and 129 RAS and 258 LSS cases for left colectomy (LC). Perioperative outcomes were compared between the two surgical approaches. The primary outcomes were recovery milestones, while secondary outcomes included complications and postoperative pain scores. Results: RAS demonstrated faster recovery milestones compared to LSS (hospital stay: 6.5 vs. 10.2 days, p = 0.005 for RC; 5.5 vs. 8.2 days, p < 0.001 for LC). RAS also resulted in lower rates of ileus (14% vs. 26%, p = 0.064 for RC; 6.2% vs. 15.9%, p = 0.007 for LC) and higher lymph node yields (31.4 vs. 26.8, p = 0.028 for RC; 25.8 vs. 23.9, p = 0.066 for LC). Major complication rates showed no significant difference between RAS and LSS (4.0% vs. 7.0%, p = 0.746 for RC; 4.7% vs. 3.1%, p = 0.563 for LC). Patients in the RAS group experienced earlier diuretic phases and reported significantly lower postoperative pain scores (3.0 vs. 4.1, p = 0.011 for RC; 2.9 vs. 4.1, p < 0.001 for LC). Conclusions: Robotic-assisted surgery is associated with faster recovery, lower rates of ileus (LC), higher lymph node yield (RC) and reduced postoperative pain compared to laparoscopic-assisted surgery for colon cancer resection. Full article
(This article belongs to the Special Issue Robotic Surgery in Colorectal Cancer)
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<p>Depiction of patient selection and propensity score matching for this study.</p>
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<p>Daily urine output, intravenous fluid input, and oral intake in robotic-assisted surgery (RAS) patients by postoperative day (POD).</p>
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<p>Daily urine output, intravenous fluid input, and oral intake in robotic-assisted surgery (RAS) patients by postoperative day (POD).</p>
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<p>Daily urine output, intravenous fluid input, and oral intake in laparoscopic surgery (LSS) patients by postoperative day (POD).</p>
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<p>Daily urine output, intravenous fluid input, and oral intake in laparoscopic surgery (LSS) patients by postoperative day (POD).</p>
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<p>(<b>a</b>,<b>b</b>) Figures showing highest visual analog scale (VAS) pain scores by postoperative day (POD) in robotic-assisted surgery (RAS) and laparoscopic surgery (LSS). Patients underwent right colectomy and left colectomy. (<b>c</b>,<b>d</b>) Figures showing highest visual analog scale (VAS) pain scores by postoperative day (POD) in robotic-assisted surgery (RAS) and laparoscopic surgery (LSS) patients using patient-controlled analgesia (PCA).</p>
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<p>(<b>a</b>,<b>b</b>) Figures showing highest visual analog scale (VAS) pain scores by postoperative day (POD) in robotic-assisted surgery (RAS) and laparoscopic surgery (LSS). Patients underwent right colectomy and left colectomy. (<b>c</b>,<b>d</b>) Figures showing highest visual analog scale (VAS) pain scores by postoperative day (POD) in robotic-assisted surgery (RAS) and laparoscopic surgery (LSS) patients using patient-controlled analgesia (PCA).</p>
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18 pages, 6842 KiB  
Article
Haptic Shared Control Framework with Interaction Force Constraint Based on Control Barrier Function for Teleoperation
by Wenlei Qin, Haoran Yi, Zhibin Fan and Jie Zhao
Sensors 2025, 25(2), 405; https://doi.org/10.3390/s25020405 - 11 Jan 2025
Viewed by 363
Abstract
Current teleoperated robotic systems for retinal surgery cannot effectively control subtle tool-to-tissue interaction forces. This limitation may lead to patient injury caused by the surgeon’s mistakes. To improve the safety of retinal surgery, this paper proposes a haptic shared control framework for teleoperation [...] Read more.
Current teleoperated robotic systems for retinal surgery cannot effectively control subtle tool-to-tissue interaction forces. This limitation may lead to patient injury caused by the surgeon’s mistakes. To improve the safety of retinal surgery, this paper proposes a haptic shared control framework for teleoperation based on a force-constrained supervisory controller. The supervisory controller leverages Control Barrier Functions (CBFs) and the interaction model to modify teleoperated inputs when they are deemed unsafe. This method ensures that the interaction forces at the slave robot’s end-effector remain within the safe range without the robot’s dynamic model and the safety margin. Additionally, the master robot provides haptic feedback to enhance the surgeon’s situational awareness during surgery, reducing the risk of misjudgment. Finally, simulated membrane peeling experiments are conducted in a controlled intraocular surgical environment using a teleoperated robotic system controlled by a non-expert. The experimental results demonstrate that the proposed control framework significantly reduces the rate of force constraint violation. Full article
(This article belongs to the Special Issue Dynamics and Control System Design for Robot Manipulation)
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<p>Experimental setup. (<b>a</b>) Master robot: receives user operation commands. (<b>b</b>) Interface computer: collects force data, generates, and transmits motion commands to the slave robot and control signals to the master robot. (<b>c</b>) Slave robot with force-sensing tool: performs surgical operations. (<b>d</b>) Microscope: provides high-resolution magnified images of the surgical site. (<b>e</b>) Monitor: displays the surgical procedure for the surgeon.</p>
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<p>Overview of the force-sensing subsystems. (<b>a</b>) System components, including the micro-forceps, power supply, motor driver, and interrogator. (<b>b</b>) Diagram of the tubular tool shaft with the FBG sensors. (<b>c</b>) Diagram of the clamping mechanism of the micro-forceps.</p>
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<p>Block diagram of the haptic shared control architecture.</p>
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<p>Schematic diagram for the force control of a robot interacting with an environment.</p>
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<p>Force curves under different force activation values.</p>
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<p>Position curves under different force activation values.</p>
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<p>Simulated environment for robot-assisted membrane peeling.</p>
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<p>Results of the first experiment: interaction force using the TIA method. The red lines represent the maximum constraint force.</p>
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<p>Results of the first experiment: position tracking performance of master–slave robots using the TIA method.</p>
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<p>Results of the second experiment: interaction force using the TIA method with haptic feedback. The red lines represent the maximum constraint force.</p>
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<p>Results of the second experiment: position tracking performance of master–slave robots using the TIA method with haptic feedback.</p>
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<p>Results of the second experiment: haptic force using the TIA method with haptic feedback.</p>
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<p>Results of the third experiment: interaction force using the proposed method. The red lines represent the maximum constraint force.</p>
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<p>Results of the third experiment: position tracking performance of master–slave robots using the proposed method.</p>
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<p>Results of the third experiment: haptic force using the proposed method.</p>
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<p>(<b>a</b>–<b>h</b>) Snapshots of the membrane peeling task using proposed method. The blue dashed arrows show the tool progresses in a folding pattern along the Y-axis.</p>
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13 pages, 1496 KiB  
Article
Risk Factors for Coronary Events After Robotic Hybrid Off-Pump Coronary Revascularization
by Aleksander Dokollari, Beatrice Bacchi, Serge Sicouri, Francesco Cabrucci, Massimo Bonacchi, Danielle Spragan, Mary Ann C. Wertan, Nitin Ghorpade, Stephanie Kjelstrom, Georgia Montone, Yoshiyuki Yamashita, Basel Ramlawi and Francis Sutter
J. Cardiovasc. Dev. Dis. 2025, 12(1), 21; https://doi.org/10.3390/jcdd12010021 - 10 Jan 2025
Viewed by 359
Abstract
Objectives: The impact of long-term complications after robotic hybrid coronary revascularization (HCR), including persistent angina, repeat revascularization, and myocardial infarction (MI), remains limited. This study aims to determine the risk factors for coronary events after robotic HCR and their time-varying effects on outcomes. [...] Read more.
Objectives: The impact of long-term complications after robotic hybrid coronary revascularization (HCR), including persistent angina, repeat revascularization, and myocardial infarction (MI), remains limited. This study aims to determine the risk factors for coronary events after robotic HCR and their time-varying effects on outcomes. Methods: We identified all consecutive patients who underwent robotic HCR at our institution. Baseline characteristics were explored as possible risk factors for angina, MI, and repeat revascularization with stents at any time during the follow-up. Results: A total of 875 patients (mean age 71.1 ± 11.1 years) were included. After a median follow-up of 3.32 years (IQR 1.18–6.34 years), angina occurred in 134 patients (15.3%), repeat revascularization with stents in 139 patients (15.8%), and MI in 36 patients (4.1%). The hazard rates for all outcomes increased with follow-up time, with a notable early rise around two years of follow-up for angina and, to a lesser extent, repeat revascularization. The risk factors were the lack of radial artery graft use, black race, diabetes, obesity, chronic obstructive pulmonary disease, low ejection fraction <50%, severe left main coronary artery stenosis (>50%), and more than three-vessel disease. Conclusions: Optimization of modifiable periprocedural risk factors may positively impact long-term prognosis in patients undergoing robotic HCR. Full article
(This article belongs to the Section Cardiac Surgery)
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<p>Kaplan–Meier curves with all-cause death (<b>A</b>), MACCE (<b>B</b>), MI (<b>C</b>), Stroke (<b>D</b>), Repeat Revascularization (<b>E</b>), and Angina (<b>F</b>).</p>
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<p>Periprocedural Risk Predictors for All-cause Death and MACCE. *—risk factor; **—important risk factor; ***—extremely important risk factor.</p>
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<p>Periprocedural Risk Predictors for MI and Stroke. *—risk factor; **—important risk factor; ***—extremely important risk factor.</p>
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<p>Periprocedural Risk Predictors for Repeat Revascularization and Angina. *—risk factor; **—important risk factor; ***—extremely important risk factor.</p>
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18 pages, 11743 KiB  
Article
The Design and Validation of an Open-Palm Data Glove for Precision Finger and Wrist Tracking
by Olivia Hosie, Mats Isaksson, John McCormick, Oren Tirosh and Chrys Hensman
Sensors 2025, 25(2), 367; https://doi.org/10.3390/s25020367 - 9 Jan 2025
Viewed by 423
Abstract
Wearable motion capture gloves enable the precise analysis of hand and finger movements for a variety of uses, including robotic surgery, rehabilitation, and most commonly, virtual augmentation. However, many motion capture gloves restrict natural hand movement with a closed-palm design, including fabric over [...] Read more.
Wearable motion capture gloves enable the precise analysis of hand and finger movements for a variety of uses, including robotic surgery, rehabilitation, and most commonly, virtual augmentation. However, many motion capture gloves restrict natural hand movement with a closed-palm design, including fabric over the palm and fingers. In order to alleviate slippage, improve comfort, reduce sizing issues, and eliminate movement restrictions, this paper presents a new low-cost data glove with an innovative open-palm and finger-free design. The new design improves usability and overall functionality by addressing the limitations of traditional closed-palm designs. It is especially beneficial in capturing movements in fields such as physical therapy and robotic surgery. The new glove incorporates resistive flex sensors (RFSs) at each finger and an inertial measurement unit (IMU) at the wrist joint to measure wrist flexion, extension, ulnar and radial deviation, and rotation. Initially the sensors were tested individually for drift, synchronisation delays, and linearity. The results show a drift of 6.60°/h in the IMU and no drift in the RFSs. There was a 0.06 s delay in the data captured by the IMU compared to the RFSs. The glove’s performance was tested with a collaborate robot testing setup. In static conditions, it was found that the IMU had a worst case error across three trials of 7.01° and a mean absolute error (MAE) averaged over three trials of 4.85°, while RFSs had a worst case error of 3.77° and a MAE of 1.25° averaged over all five RFSs used. There was no clear correlation between measurement error and speed. Overall, the new glove design proved to accurately measure joint angles. Full article
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<p>Images of the glove.</p>
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<p>Block diagram of the system electronics.</p>
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<p>Robotic testing setup.</p>
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<p>Hand in testing setup showing the glove placement. The red line shows the alignment of the fourth robot axis with the wrist joint.</p>
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<p>Start and end angles of linear mapping of RFSs.</p>
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<p>Calibration positions of hand.</p>
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<p>Mapping of the resistance (k<math display="inline"><semantics> <mo>Ω</mo> </semantics></math>) to the angle of deflection (°). Each curve represents a different RFS used in the glove: dotted for thumb, solid for index, dashed for middle, dash-dotted for ring, and solid with stars for little finger. The graph shows the calibration of resistance to deflection angles, essential for accurate motion tracking.</p>
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<p>Comparison of measured wrist angle and real wrist angle as measured by IMU. The data points (o) represent the average value at each angle, with standard deviations across each trial shown by error bars. The dotted trendline shows the linearity of the relationship between measured and real angles. The close alignment of the data points with the trendline suggests minimal deviation, reinforcing the reliability of the IMU for wrist angle measurements.</p>
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<p>The comparison of the measured finger angle and real finger angle as measured by RFS. Data points (o) represent the average value at each angle, with standard deviations across each trial shown by error bars. The coloured dotted trendline shows the linearity of the relationship between measured and real angles for all the fingers: blue for index, yellow for middle, green for ring, and red for little finger.</p>
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<p>The comparison of measured thumb angle and real thumb angle as measured by RFS. Data points (o) represent the average value at each angle, with standard deviations across each trial shown by error bars. The dotted trendline shows the linearity of the relationship between measured and real angles.</p>
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<p>Progression of IMU angles (°) over a 6 s period, showing the change in angle as a function of time. The plot highlights the sensor’s responsiveness and consistency during continuous motion. Non-continuous motion at the start and end of the trial is included in this graph to demonstrate why it is excluded from further calculations.</p>
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21 pages, 702 KiB  
Review
The Role of Artificial Intelligence and Emerging Technologies in Advancing Total Hip Arthroplasty
by Luca Andriollo, Aurelio Picchi, Giulio Iademarco, Andrea Fidanza, Loris Perticarini, Stefano Marco Paolo Rossi, Giandomenico Logroscino and Francesco Benazzo
J. Pers. Med. 2025, 15(1), 21; https://doi.org/10.3390/jpm15010021 - 9 Jan 2025
Viewed by 513
Abstract
Total hip arthroplasty (THA) is a widely performed surgical procedure that has evolved significantly due to advancements in artificial intelligence (AI) and robotics. As demand for THA grows, reliable tools are essential to enhance diagnosis, preoperative planning, surgical precision, and postoperative rehabilitation. AI [...] Read more.
Total hip arthroplasty (THA) is a widely performed surgical procedure that has evolved significantly due to advancements in artificial intelligence (AI) and robotics. As demand for THA grows, reliable tools are essential to enhance diagnosis, preoperative planning, surgical precision, and postoperative rehabilitation. AI applications in orthopedic surgery offer innovative solutions, including automated hip osteoarthritis (OA) diagnosis, precise implant positioning, and personalized risk stratification, thereby improving patient outcomes. Deep learning models have transformed OA severity grading and implant identification by automating traditionally manual processes with high accuracy. Additionally, AI-powered systems optimize preoperative planning by predicting the hip joint center and identifying complications using multimodal data. Robotic-assisted THA enhances surgical precision with real-time feedback, reducing complications such as dislocations and leg length discrepancies while accelerating recovery. Despite these advancements, barriers such as cost, accessibility, and the steep learning curve for surgeons hinder widespread adoption. Postoperative rehabilitation benefits from technologies like virtual and augmented reality and telemedicine, which enhance patient engagement and adherence. However, limitations, particularly among elderly populations with lower adaptability to technology, underscore the need for user-friendly platforms. To ensure comprehensiveness, a structured literature search was conducted using PubMed, Scopus, and Web of Science. Keywords included “artificial intelligence”, “machine learning”, “robotics”, and “total hip arthroplasty”. Inclusion criteria emphasized peer-reviewed studies published in English within the last decade focusing on technological advancements and clinical outcomes. This review evaluates AI and robotics’ role in THA, highlighting opportunities and challenges and emphasizing further research and real-world validation to integrate these technologies into clinical practice effectively. Full article
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<p>Clinical application workflow of key artificial intelligence tools and new technologies [OA: osteoarthritis; ML: machine learning; DL: deep learning; THA: total hip arthroplasty].</p>
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9 pages, 1648 KiB  
Article
Silicone Fiducial Markers Improve Precision in Uveal Melanoma Radiation Therapy
by Svenja Rebecca Sonntag, Olaf Wittenstein, Oliver Blanck, Jürgen Dunst, Stefan Huttenlocher, Melanie Grehn, Maximilian Busch, Dirk Rades, Ayseguel Tura and Salvatore Grisanti
Cancers 2025, 17(2), 189; https://doi.org/10.3390/cancers17020189 - 8 Jan 2025
Viewed by 438
Abstract
Objectives: Accurate target definition, treatment planning and delivery increases local tumor control for radiotherapy by minimizing collateral damage. To achieve this goal for uveal melanoma (UM), tantalum fiducial markers (TFMs) were previously introduced in proton and photon beam radiotherapy. However, TFMs cause [...] Read more.
Objectives: Accurate target definition, treatment planning and delivery increases local tumor control for radiotherapy by minimizing collateral damage. To achieve this goal for uveal melanoma (UM), tantalum fiducial markers (TFMs) were previously introduced in proton and photon beam radiotherapy. However, TFMs cause pronounced scattering effects in imaging that make the delineation of small tumors difficult. The aim of this study was to evaluate silicone fiducial markers (SFMs) for the guiding of stereotactic radiosurgery (SRS) for UM. Methods: In this retrospective interventional pilot case series, three patients with small UMs 3 mm or less in tumor thickness and ≤10 mm in largest basal diameter received silicone fiducial markers. The fiducial markers were punched out (3 mm) from conventional silicone encircling bands for buckle surgery. The markers were sutured onto the sclera at the tumor margins according to the use of TFMs. MRI and CT images were used for the localization of the tumor and the markers before robotic-guided SRS. Results: The silicone fiducial markers were punched out easily from the original band, better to handle than TFMs and easy to suture onto the sclera. They could be visualized in both MRI and CT, but were more visible in CT. In the absence of scattering effects, both the markers and thus the tumor boundaries could be clearly delineated. Conclusions: This is the first report that introduces fiducial markers intraoperatively shaped from conventional silicone encircling bands usually used for retinal detachment surgery. The SFMs allow more accurate tumor delineation, resulting in the more precise planning and administration of SRS when compared to TFMs. This simple modification has a major impact on a well-known treatment approach. Full article
(This article belongs to the Special Issue Current Progress and Research Trends in Ocular Oncology)
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<p>CT images of tantalum fiducial markers. Tantalum fiducial markers show huge scattering artifacts, which make the bulbus, and therefore, also the tumor, barely visible in some scans.</p>
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<p>Photographs showing the encircling band and the fiducial markers punched out of the encircling band (<b>a</b>) and the punching instrument (<b>b</b>). Photograph showing the silicone fiducial markers fixed on the sclera with 4-0 Supramid (<b>c</b>). The intended marker position at the tumor margin was previously marked with a blue pen using fundoscopy and diaphanoscopy. The three clips mark the inferior, superior and anterior tumor margins (<b>c</b>).</p>
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<p>CT images of the silicone markers ((<b>A</b>) transverse; (<b>C</b>) sagittal; (<b>D</b>) coronal). Image (<b>B</b>) is the result of the VRT (volume rendering technique). Three of the markers were directly placed at the peripheral edges of the tumor, whereas the fourth marker was placed contralaterally. Tumor size (blue) was defined via fundus image, OCT and ultrasonography. In detail, tumor diameters and the distance of the tumor from the optic nerve and the macula measured with the 3 examination techniques were used to determine the tumor boundaries far from the markers. All markers could be clearly detected without scattering artifacts.</p>
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17 pages, 3331 KiB  
Case Report
EnBloc Resection of a Chordoma of the Thoracic Spine by “L”-Shaped Osteotomy for Spinal Canal Preservation
by Alessandro Gasbarrini, Stefano Pasini, Zhaozong Fu, Riccardo Ghermandi, Valerio Pipola, Mauro Gargiulo, Marco Innocenti and Stefano Boriani
J. Clin. Med. 2025, 14(2), 349; https://doi.org/10.3390/jcm14020349 - 8 Jan 2025
Viewed by 427
Abstract
Background/Objectives: EnBloc resections of bone tumors of the spine are very demanding as the target to achieve a tumor-free margin specimen (sometimes impossible due to the extracompartimental tumor extension) is sometimes conflicting with the integrity of neurological functions and spine stability. Methods [...] Read more.
Background/Objectives: EnBloc resections of bone tumors of the spine are very demanding as the target to achieve a tumor-free margin specimen (sometimes impossible due to the extracompartimental tumor extension) is sometimes conflicting with the integrity of neurological functions and spine stability. Methods: The surgical treatment of a huge multi-level chordoma of the thoracic spine with unusual extension is reported. Anteriorly, the tumor widely invaded the mediastinum and displaced the aorta; on the left side, it expanded in the subpleuric region; posteriorly, it was uncommonly distant 13 mm from the posterior wall. Results: EnBloc resection is largely performed for primary bone tumors of the spine and many reports have been published concerning brilliant solutions to difficult issues of surgical anatomy. One of the major challenges is still the compatibility between oncological and functional requirements. Conclusions: Oncological staging, careful imaging analysis, a multidisciplinary surgical team, and utilization of the most recent technologies like navigation and robotics have made an oncologically appropriate EnBloc resection of a multi-level chordoma of the thoracic spine possible without affecting the continuity of the spinal canal and without any involvement of its content by an original “L”-shaped osteotomy. Full article
(This article belongs to the Section Oncology)
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<p>CT scan transverse image crossing T9 shows a lytic, moth-eaten change involving the anterior part of the T9 vertebral body with huge anterior mediastinal soft tissue partially surrounding and displacing the aorta. The transpedicular trocar track for biopsy is visible.</p>
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<p>(<b>a</b>) MR (T1_mDIXON_TSE) sagittal image shows the longitudinal tumor extension in the mediastinum originating from the vertebral body of T9 and invading the anterior part of T8 and T10 vertebral bodies without involvement of the disks. The disks T7–T8 and T10–T11 seem the best levels for cranial and caudal resection levels. (<b>b</b>) MR (T2W_mDixon_TSE FS) transverse image at T9 level clarifies that the aorta wall is not infiltrated and that there is a tumor-free zone from the posterior tumor margin and the posterior vertebral wall (according to the WBB staging system: layer A, only part of layer B, no layer C involvement). At this level (the largest tumor extension), the AP diameter of the T9 vertebral body is 28 mm, and the distance between the tumor and the posterior wall is 13 mm. The tumoral soft tissue expands on left side in the retro-pleural space to the level of the cost-transverse joint in T9 (sectors 8 to 4 according to the WBB staging system). (<b>c</b>) MR (T2W_mDixon_TSE FS) transverse image at T8: the tumors is much smaller in the mediastinum end and it is invading only the peripheral vertebral body cortex. The retro-pleural invasion on the left arrives at the level of the posterior longitudinal ligament (sectors 7 to 5 according to the WBB staging system). (<b>d</b>) MR (T2W_mDixon_TSE FS) transverse image at T10: the tumor invades the anterior part of the vertebral body; sectors 4 and 5 are not involved in the tumor.</p>
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<p>(<b>a</b>) MR (T1_mDIXON_TSE) sagittal image shows the longitudinal tumor extension in the mediastinum originating from the vertebral body of T9 and invading the anterior part of T8 and T10 vertebral bodies without involvement of the disks. The disks T7–T8 and T10–T11 seem the best levels for cranial and caudal resection levels. (<b>b</b>) MR (T2W_mDixon_TSE FS) transverse image at T9 level clarifies that the aorta wall is not infiltrated and that there is a tumor-free zone from the posterior tumor margin and the posterior vertebral wall (according to the WBB staging system: layer A, only part of layer B, no layer C involvement). At this level (the largest tumor extension), the AP diameter of the T9 vertebral body is 28 mm, and the distance between the tumor and the posterior wall is 13 mm. The tumoral soft tissue expands on left side in the retro-pleural space to the level of the cost-transverse joint in T9 (sectors 8 to 4 according to the WBB staging system). (<b>c</b>) MR (T2W_mDixon_TSE FS) transverse image at T8: the tumors is much smaller in the mediastinum end and it is invading only the peripheral vertebral body cortex. The retro-pleural invasion on the left arrives at the level of the posterior longitudinal ligament (sectors 7 to 5 according to the WBB staging system). (<b>d</b>) MR (T2W_mDixon_TSE FS) transverse image at T10: the tumor invades the anterior part of the vertebral body; sectors 4 and 5 are not involved in the tumor.</p>
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<p>WBB planning of enbloc resection of the reported case. The tumor–free area between the posterior tumor margin and the posterior vertebral wall allows us to consider the possibility of saving the continuity of the spinal canal. Targeting the tumor-free margin and the integrity of the canal surgery should also be performed.</p>
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<p>Intraoperative image at the end of the left antero-lateral trans-pleural approach (at the seventh rib). The tumor mass can be seen covered by the parietal pleura as an effective margin. The descending aorta has been isolated and fully released without violations of the tumor mass. The segmental vessels are ligated at the origin. The anterior part of disks T7–T8 and T10–T11 has been excised. The left T7 segmental artery is prepared for planned anastomosis with the fibula feeding artery. Before the closure, a Gore–Tex mesh is positioned over the tumor mass for protection and to easily find the safely released peritumoral area during the posterior approach.</p>
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<p>Second stage. Patient in prone position. Posterior midline approach, and positioning of Carbon Fiber-Reinforced PEEK (CFRP) (Carboclear by Carbofix), screws in the pedicles of T5, T6, T7, T11, and T12. Excision of rib segments proximal to the spine at T8, T9, and T10; lateral release of the vertebral bodies reaching Gore–Tex mesh left over the released area during the anterior approach.</p>
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<p>(<b>a</b>) The Tomita saw is inserted left to right in the interspace T7–T8 inside the excised disk, leaving the posterior part of the disk intact. Its extremity is shifted along the right side of the spine up to disk T10–T11 (whose posterior half is similarly spared), where it is retrieved to the left side. (<b>b</b>) The anesthesiologist is asked to collapse the left lung in order to gain access to the lateral aspect of the vertebral bodies without injuring the parenchyma. By surgical robot (Excelsius by Globus) guidance, two percutaneous K wires are introduced on the coronal plane left to right, just below the superior endplate of T8 and just above the inferior endplate of T10, at a safe distance from the tumor and the vertebral posterior wall. Navigation is necessary in this phase because it is not possible to visualize the tumor inside of the vertebral body, and navigation is only able to guide the insertion, avoiding tumor violation. (<b>c</b>) The K–wires are introduced slightly dorsal to the plane of the Tomita saw to guide the osteotomy on the correct coronal plane to save the posterior part of the vertebral bodies without violating the tumor mass (arrows suggest the direction left–to–right).</p>
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<p>(<b>a</b>) The Tomita saw is inserted left to right in the interspace T7–T8 inside the excised disk, leaving the posterior part of the disk intact. Its extremity is shifted along the right side of the spine up to disk T10–T11 (whose posterior half is similarly spared), where it is retrieved to the left side. (<b>b</b>) The anesthesiologist is asked to collapse the left lung in order to gain access to the lateral aspect of the vertebral bodies without injuring the parenchyma. By surgical robot (Excelsius by Globus) guidance, two percutaneous K wires are introduced on the coronal plane left to right, just below the superior endplate of T8 and just above the inferior endplate of T10, at a safe distance from the tumor and the vertebral posterior wall. Navigation is necessary in this phase because it is not possible to visualize the tumor inside of the vertebral body, and navigation is only able to guide the insertion, avoiding tumor violation. (<b>c</b>) The K–wires are introduced slightly dorsal to the plane of the Tomita saw to guide the osteotomy on the correct coronal plane to save the posterior part of the vertebral bodies without violating the tumor mass (arrows suggest the direction left–to–right).</p>
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<p>A screw is positioned in the left pedicle of T9 (uninvolved by the tumor) to stop the coronal osteotomy and to act as a pivot to start a sagittal osteotomy ending in “L-shaped” osteotomy. Again, screw insertion is guided by surgical navigation in order to avoid the end of the screw reaching the margin of the tumor.</p>
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<p>(<b>a</b>) The extremities of the Tomita saw are exteriorized by short incisions in order to cut on the desired coronal plan, running on the guide of the couple of K-wires. (<b>b</b>) Intraoperative picture of the Tsaw osteotomy on the coronal plane, always under navigation system control. To avoid damage to the soft tissues during the resection on the coronal plane, two plastic cannulas are used, which are positioned through the chest wall and inside which the saw is slid. In the image, while the first operator keeps the saw wire tensioned, the second operator positions the proximal cannula with Kocher pliers.</p>
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<p>(<b>a</b>) As soon as the saw comes into contact with the screw positioned in the left pedicle of T9, the handles of the saw are removed and the two extremities of the wire are slid back through the percutaneous paths. (<b>b</b>) The two extremities of the wire are then brought out vertically through the surgical wound. The handles are assembled on the wire again and repositioned along a sagittal direction. (<b>c</b>) Pulling up the handles, with the wire oriented in a vertical direction along the sagittal plane, the “L” osteotomy is completed at the T9 level, where the tumor grows laterally to sector 4. The T9 screw is therefore used first as a constraint to stop the saw along the resection in the coronal plane, and then as a guide for the osteotomy on the sagittal plane, providing the correct direction and avoiding a deviation of the saw.</p>
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<p>(<b>a</b>) As soon as the saw comes into contact with the screw positioned in the left pedicle of T9, the handles of the saw are removed and the two extremities of the wire are slid back through the percutaneous paths. (<b>b</b>) The two extremities of the wire are then brought out vertically through the surgical wound. The handles are assembled on the wire again and repositioned along a sagittal direction. (<b>c</b>) Pulling up the handles, with the wire oriented in a vertical direction along the sagittal plane, the “L” osteotomy is completed at the T9 level, where the tumor grows laterally to sector 4. The T9 screw is therefore used first as a constraint to stop the saw along the resection in the coronal plane, and then as a guide for the osteotomy on the sagittal plane, providing the correct direction and avoiding a deviation of the saw.</p>
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<p>(<b>a</b>) By careful manual manipulations, the specimen was removed. (<b>b</b>) The tumor, covered by a thick margin of healthy tissue and still protected by the Gore-Tex mesh, was removed from the left side. The coronal resection of the vertebral bodies of T8 and T10 and the effect of the sagittal leg of the “L-shaped” osteotomy can be seen, allowing the inclusion of sectors 4 and 5 of T9 in the enbloc resection, corresponding to the lateral retropleural tumor extension (panel <b>A</b>) and to other angles of the excised specimen in panels (<b>B</b>,<b>C</b>).</p>
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<p>Post-operative CT scan image at the lower T9 level, distal to the sagittal leg of the osteotomy. As planned, the coronal osteotomy spared the circumference of the spinal canal and runs some millimeters from the tumor posterior margin. A Gore-Tex sheet is left, creating a new compartment from the mediastinum. Panel (<b>A</b>), axial section. Panels (<b>B</b>,<b>C</b>), coronal and sagittal sections showing the grafted fibula.</p>
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<p>Pathologist’s specimen of the resected vertebrae.</p>
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13 pages, 242 KiB  
Article
Robotic Surgery from a Gynaecological Oncology Perspective: A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Study (GO SOAR3)
by Faiza Gaba, Karen Ash, Oleg Blyuss, Dhivya Chandrasekaran, Marielle Nobbenhuis, Thomas Ind, Elly Brockbank and on behalf of the GO SOAR Collaborators
Diseases 2025, 13(1), 9; https://doi.org/10.3390/diseases13010009 - 6 Jan 2025
Viewed by 526
Abstract
Background/Objectives: For healthcare institutions developing a robotic programme, delivering value for patients, clinicians, and payers is key. However, the impact on the surgeon, training pathways, and logistics are often overlooked. We conducted a study on the impact of robotic surgery on surgeons, access [...] Read more.
Background/Objectives: For healthcare institutions developing a robotic programme, delivering value for patients, clinicians, and payers is key. However, the impact on the surgeon, training pathways, and logistics are often overlooked. We conducted a study on the impact of robotic surgery on surgeons, access to robotic surgical training, and factors associated with developing a successful robotic programme. Method: In our international mixed-methods study, a customised web-based survey was circulated to gynaecological oncologists. The Wilcoxon rank-sum test and Fisher’s exact test, tested the hypothesis of the differences in continuous and categorical variables. Multiple linear regression was used to model the effect of variables on outcomes adjusting for gender, age, and postgraduate experience. Outcomes included situational awareness, surgeon fatigue/stress, and the surgical learning curve. Qualitative data were collected via in-depth semi-structured interviews using an inductive theoretical framework to explore access to surgical training and logistical considerations in the development of a successful robotic programme. Results: In total, 94%, 45%, and 48% of survey respondents (n = 152) stated that robotic surgery was less physically tiring/mentally tiring/stressful in comparison to laparoscopic surgery. Our data suggest gender differences in the robotics learning curve with men six times more likely to state robotic surgery had negatively impacted their situational awareness in the operating theatre (OR = 6.35, p ≤ 0.001) and 2.5 times more likely to state it had negatively impacted their surgical ability due to lack of haptic feedback in comparison to women (OR = 2.62, p = 0.046). Women were more risk-averse in case selection, but there were no self-reported differences in the intra-operative complication rates between male and female surgeons (OR = 1, p = 0.1). In total, 22/25 robotically trained surgeons interviewed did not follow a structured curriculum of learning. Low and middle income country centres had less access to robotic surgery. The success of robotic programmes was measured by the number of cases performed per annum, with 74% of survey respondents stating that introducing robotics increased the proportion of surgeries performed by minimal access surgery. There was a distinct lack of knowledge on the environmental impact of robotic surgery. Conclusions: Whilst robotic surgery is considered a landmark innovation in surgery, it must be responsibly implemented through effective training and waste minimisation, which must be a key metric in measuring the success of robotic programmes. Full article
10 pages, 878 KiB  
Article
Robotic Rectus Abdominis Myoperitoneal Flap for Posterior Vaginal Wall Reconstruction: Experience at a Single Institution
by Noama Iftekhar, Kathryn Cataldo, Seungwon Jong Seo, Brett Allen, Casey Giles, Matthew William Kelecy, Joshua MacDavid and Richard C. Baynosa
J. Clin. Med. 2025, 14(1), 292; https://doi.org/10.3390/jcm14010292 - 6 Jan 2025
Viewed by 619
Abstract
Background: The adoption of robotic surgery has been widespread and increasing amongst gynecologic surgeons given the ability to decrease morbidity. It is important that plastic surgeons adjust their reconstructive algorithm to ascertain the benefits of robotic-assisted surgery. Herein we report our outcomes of [...] Read more.
Background: The adoption of robotic surgery has been widespread and increasing amongst gynecologic surgeons given the ability to decrease morbidity. It is important that plastic surgeons adjust their reconstructive algorithm to ascertain the benefits of robotic-assisted surgery. Herein we report our outcomes of robotic-assisted rectus abdominis muscle reconstruction of the posterior vaginal wall along with a current literature review on robotic-assisted reconstructive pelvic surgery. Methods: An IRB-approved retrospective review was completed of all patients who underwent robotic pelvic reconstruction between 2016 and 2024 at a single institution. Patients who underwent posterior vaginal wall reconstruction utilizing a robotic-assisted rectus abdominis muscle (RRAM) were selected for final analysis. Results: Thirty-two patients were identified who underwent pelvic reconstruction using robotic surgical techniques. Five (mean age = 56.2, 32–72; mean BMI = 30.0, 24–39.9) underwent posterior vaginal wall reconstruction with an RRAM flap. Two patients (40%) had minor wound complications, and one patient (20%) had vaginal stenosis eight years after operation. None had major complications requiring a return to the OR or hospital admission. All patients went on to achieve successful healing. Conclusions: In the literature, robotic-assisted surgery has shown significant advantages, including reduced morbidity with decreased intra-operative blood loss, reduced pain, faster recovery, and shorter hospital stays. The RRAM flap for pelvic reconstruction is well tolerated in patients despite comorbidities and preserves the minimally invasive benefits of extirpative surgery. As the technology becomes more widely incorporated, it is important for plastic surgeons to integrate robotic surgical techniques into their practice. Full article
(This article belongs to the Special Issue Gynecological Surgery: New Clinical Insights and Challenges)
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<p>Reinforcement of the repair with a strattice mesh using a barbed suture.</p>
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<p>Intra-operative photo of indocyanine green used for the identification of the deep inferior epigastric pedicle for the flap. White arrow is the vessel (highlighted pedicle).</p>
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10 pages, 715 KiB  
Article
Open vs. Robot-Assisted Artificial Urinary Sphincter Implantation in Women with Stress Urinary Incontinence: A Multicenter Comparative Study
by Alexandre Dubois, Grégoire Capon, Olivier Belas, Adrien Vidart, Andrea Manunta, Juliette Hascoet, Lucas Freton, Frederic Thibault, Vincent Cardot, Frédéric Dubois, Luc Corbel, Emmanuel Della Negra, François Haab, Laurence Peyrat, Jean-Nicolas Cornu, Philippe Grise, Aurélien Descazeaud, Georges Fournier and Benoit Peyronnet
J. Clin. Med. 2025, 14(1), 284; https://doi.org/10.3390/jcm14010284 - 6 Jan 2025
Viewed by 496
Abstract
Background: The artificial urinary sphincter has been an effective treatment for stress urinary incontinence caused by intrinsic sphincter deficiency in women. However, the use of this device has been limited by the technical difficulties and risks associated with the open implantation procedure. Preliminary [...] Read more.
Background: The artificial urinary sphincter has been an effective treatment for stress urinary incontinence caused by intrinsic sphincter deficiency in women. However, the use of this device has been limited by the technical difficulties and risks associated with the open implantation procedure. Preliminary studies using robotic techniques have shown promising results, but only one small study has compared robotic to open procedures. This study aims to compare the outcomes of robotic and open artificial urinary sphincter implantation in women with stress urinary incontinence due to intrinsic sphincter deficiency in a large multicenter cohort. Methods: Data were collected retrospectively from female patients who underwent open or robot-assisted artificial urinary sphincter implantation from 2006 to 2020 at 12 urology departments. The primary outcome was the rate of complications within 30 days after surgery, graded using the Clavien-Dindo Classification. Perioperative and functional outcomes were compared between the two groups. Results: A total of 135 patients were included, with 71 in the robotic group and 64 in the open group. The open group had a higher rate of intraoperative complications (27.4% vs. 12.7%; p = 0.03) and postoperative complications (46.8% vs. 15.5%; p < 0.0001). More patients in the robotic group achieved full continence (83.3% vs. 62.3%; p = 0.01). The open group had higher explantation (27.4% vs. 1.4%; p < 0.0001) and revision rates (17.5% vs. 5.6%; p = 0.02). The estimated 1-year explantation-free survival rate was higher in the robotic group. (98.6% vs. 78.3%; p = 0.001). Conclusions: Robot-assisted implantation may reduce perioperative morbidity and improve functional outcomes compared to open implantation in women with stress urinary incontinence. Full article
(This article belongs to the Section Nephrology & Urology)
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<p>Device explantation-free survival.</p>
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<p>Device revision-free survival.</p>
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17 pages, 3052 KiB  
Systematic Review
Robotic Versus Laparoscopic Adrenalectomy for Adrenal Tumors: An Up-to-Date Meta-Analysis on Perioperative Outcomes
by Giuseppe Esposito, Barbara Mullineris, Giovanni Colli, Serena Curia and Micaela Piccoli
Cancers 2025, 17(1), 150; https://doi.org/10.3390/cancers17010150 - 5 Jan 2025
Viewed by 673
Abstract
Background: Minimally invasive surgery (MIS) for adrenal glands is becoming increasingly developed worldwide and robotic surgery has advanced significantly. Although there are still concerns about the generalization of outcomes and the cost burden, the robotic platform shows several advantages in overcoming some laparoscopic [...] Read more.
Background: Minimally invasive surgery (MIS) for adrenal glands is becoming increasingly developed worldwide and robotic surgery has advanced significantly. Although there are still concerns about the generalization of outcomes and the cost burden, the robotic platform shows several advantages in overcoming some laparoscopic shortcomings. Materials and Methods: A systematic review and meta-analysis were conducted using the PubMed, MEDLINE and Cochrane library databases of published articles comparing RA and LA up to January 2024. The evaluated endpoints were technical and post-operative outcomes. Dichotomous data were calculated using the odds ratio (OR), while continuous data were analyzed usingmean difference (MD) with a 95% confidence interval (95% CI). A random-effects model (REM) was applied. Results: By the inclusion of 28 studies, the meta-analysis revealed no statistically significant difference in the rates of intraoperative RBC transfusion, 30-day mortality, intraoperative and overall postoperative complications, re-admission, R1 resection margin and operating time in the RA group compared with the LA. However, the overall cost of hospitalization was significantly higher in the RA group than in the LA group, [MD USD 4101.32, (95% CI 3894.85, 4307.79) p < 0.00001]. With respect to the mean intraoperative blood loss, conversion to open surgery rate, time to first flatus and length of hospital stay, the RA group showed slightly statistically significant lower rates than the laparoscopic approach. Conclusions: To our knowledge, this is the largest and most recent meta-analysis that makes these comparisons. RA can be considered safe, feasible and comparable to LA in terms of the intraoperative and post-operative outcomes. In the near future, RA could represent a promising complementary approachto LA for benign and small malignant adrenal masses, particularly in high-volume referral centers specializing in robotic surgery. However, further studies are needed to confirm these findings. Full article
(This article belongs to the Section Systematic Review or Meta-Analysis in Cancer Research)
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<p>PRISMA flow diagram.</p>
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<p>Operating time (min) [<a href="#B5-cancers-17-00150" class="html-bibr">5</a>,<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B9-cancers-17-00150" class="html-bibr">9</a>,<a href="#B13-cancers-17-00150" class="html-bibr">13</a>,<a href="#B16-cancers-17-00150" class="html-bibr">16</a>,<a href="#B25-cancers-17-00150" class="html-bibr">25</a>,<a href="#B27-cancers-17-00150" class="html-bibr">27</a>,<a href="#B28-cancers-17-00150" class="html-bibr">28</a>,<a href="#B29-cancers-17-00150" class="html-bibr">29</a>,<a href="#B30-cancers-17-00150" class="html-bibr">30</a>,<a href="#B31-cancers-17-00150" class="html-bibr">31</a>,<a href="#B32-cancers-17-00150" class="html-bibr">32</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B35-cancers-17-00150" class="html-bibr">35</a>,<a href="#B36-cancers-17-00150" class="html-bibr">36</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>,<a href="#B39-cancers-17-00150" class="html-bibr">39</a>,<a href="#B40-cancers-17-00150" class="html-bibr">40</a>,<a href="#B41-cancers-17-00150" class="html-bibr">41</a>,<a href="#B43-cancers-17-00150" class="html-bibr">43</a>,<a href="#B45-cancers-17-00150" class="html-bibr">45</a>,<a href="#B46-cancers-17-00150" class="html-bibr">46</a>,<a href="#B47-cancers-17-00150" class="html-bibr">47</a>,<a href="#B48-cancers-17-00150" class="html-bibr">48</a>,<a href="#B49-cancers-17-00150" class="html-bibr">49</a>].</p>
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<p>Intraoperative blood loss (mL) [<a href="#B5-cancers-17-00150" class="html-bibr">5</a>,<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B9-cancers-17-00150" class="html-bibr">9</a>,<a href="#B13-cancers-17-00150" class="html-bibr">13</a>,<a href="#B27-cancers-17-00150" class="html-bibr">27</a>,<a href="#B28-cancers-17-00150" class="html-bibr">28</a>,<a href="#B29-cancers-17-00150" class="html-bibr">29</a>,<a href="#B30-cancers-17-00150" class="html-bibr">30</a>,<a href="#B31-cancers-17-00150" class="html-bibr">31</a>,<a href="#B32-cancers-17-00150" class="html-bibr">32</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B35-cancers-17-00150" class="html-bibr">35</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B41-cancers-17-00150" class="html-bibr">41</a>,<a href="#B45-cancers-17-00150" class="html-bibr">45</a>,<a href="#B46-cancers-17-00150" class="html-bibr">46</a>,<a href="#B47-cancers-17-00150" class="html-bibr">47</a>,<a href="#B49-cancers-17-00150" class="html-bibr">49</a>].</p>
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<p>Intraoperative Red Blood Cell (RBC) transfusion rate [<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B35-cancers-17-00150" class="html-bibr">35</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>,<a href="#B41-cancers-17-00150" class="html-bibr">41</a>,<a href="#B46-cancers-17-00150" class="html-bibr">46</a>,<a href="#B47-cancers-17-00150" class="html-bibr">47</a>,<a href="#B49-cancers-17-00150" class="html-bibr">49</a>].</p>
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<p>Conversion to open surgery rate [<a href="#B5-cancers-17-00150" class="html-bibr">5</a>,<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B9-cancers-17-00150" class="html-bibr">9</a>,<a href="#B13-cancers-17-00150" class="html-bibr">13</a>,<a href="#B16-cancers-17-00150" class="html-bibr">16</a>,<a href="#B25-cancers-17-00150" class="html-bibr">25</a>,<a href="#B27-cancers-17-00150" class="html-bibr">27</a>,<a href="#B28-cancers-17-00150" class="html-bibr">28</a>,<a href="#B29-cancers-17-00150" class="html-bibr">29</a>,<a href="#B30-cancers-17-00150" class="html-bibr">30</a>,<a href="#B31-cancers-17-00150" class="html-bibr">31</a>,<a href="#B32-cancers-17-00150" class="html-bibr">32</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B35-cancers-17-00150" class="html-bibr">35</a>,<a href="#B36-cancers-17-00150" class="html-bibr">36</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>,<a href="#B39-cancers-17-00150" class="html-bibr">39</a>,<a href="#B41-cancers-17-00150" class="html-bibr">41</a>,<a href="#B42-cancers-17-00150" class="html-bibr">42</a>,<a href="#B43-cancers-17-00150" class="html-bibr">43</a>,<a href="#B45-cancers-17-00150" class="html-bibr">45</a>,<a href="#B48-cancers-17-00150" class="html-bibr">48</a>,<a href="#B49-cancers-17-00150" class="html-bibr">49</a>].</p>
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<p>Intraoperative complication rate [<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B13-cancers-17-00150" class="html-bibr">13</a>,<a href="#B16-cancers-17-00150" class="html-bibr">16</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B35-cancers-17-00150" class="html-bibr">35</a>,<a href="#B36-cancers-17-00150" class="html-bibr">36</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>,<a href="#B47-cancers-17-00150" class="html-bibr">47</a>,<a href="#B48-cancers-17-00150" class="html-bibr">48</a>].</p>
Full article ">Figure 7
<p>Time to first flatus [<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>].</p>
Full article ">Figure 8
<p>Overall complication rate [<a href="#B5-cancers-17-00150" class="html-bibr">5</a>,<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B9-cancers-17-00150" class="html-bibr">9</a>,<a href="#B13-cancers-17-00150" class="html-bibr">13</a>,<a href="#B16-cancers-17-00150" class="html-bibr">16</a>,<a href="#B25-cancers-17-00150" class="html-bibr">25</a>,<a href="#B27-cancers-17-00150" class="html-bibr">27</a>,<a href="#B28-cancers-17-00150" class="html-bibr">28</a>,<a href="#B29-cancers-17-00150" class="html-bibr">29</a>,<a href="#B30-cancers-17-00150" class="html-bibr">30</a>,<a href="#B32-cancers-17-00150" class="html-bibr">32</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B35-cancers-17-00150" class="html-bibr">35</a>,<a href="#B36-cancers-17-00150" class="html-bibr">36</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>,<a href="#B39-cancers-17-00150" class="html-bibr">39</a>,<a href="#B41-cancers-17-00150" class="html-bibr">41</a>,<a href="#B44-cancers-17-00150" class="html-bibr">44</a>,<a href="#B45-cancers-17-00150" class="html-bibr">45</a>,<a href="#B46-cancers-17-00150" class="html-bibr">46</a>,<a href="#B47-cancers-17-00150" class="html-bibr">47</a>,<a href="#B48-cancers-17-00150" class="html-bibr">48</a>,<a href="#B49-cancers-17-00150" class="html-bibr">49</a>].</p>
Full article ">Figure 9
<p>Clavien–Dindo ≥ III complication rate [<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B25-cancers-17-00150" class="html-bibr">25</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B35-cancers-17-00150" class="html-bibr">35</a>,<a href="#B36-cancers-17-00150" class="html-bibr">36</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>,<a href="#B41-cancers-17-00150" class="html-bibr">41</a>,<a href="#B45-cancers-17-00150" class="html-bibr">45</a>,<a href="#B46-cancers-17-00150" class="html-bibr">46</a>,<a href="#B47-cancers-17-00150" class="html-bibr">47</a>,<a href="#B49-cancers-17-00150" class="html-bibr">49</a>].</p>
Full article ">Figure 10
<p>Length of hospital stay [<a href="#B5-cancers-17-00150" class="html-bibr">5</a>,<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B9-cancers-17-00150" class="html-bibr">9</a>,<a href="#B13-cancers-17-00150" class="html-bibr">13</a>,<a href="#B16-cancers-17-00150" class="html-bibr">16</a>,<a href="#B28-cancers-17-00150" class="html-bibr">28</a>,<a href="#B29-cancers-17-00150" class="html-bibr">29</a>,<a href="#B30-cancers-17-00150" class="html-bibr">30</a>,<a href="#B31-cancers-17-00150" class="html-bibr">31</a>,<a href="#B32-cancers-17-00150" class="html-bibr">32</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B35-cancers-17-00150" class="html-bibr">35</a>,<a href="#B36-cancers-17-00150" class="html-bibr">36</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>,<a href="#B39-cancers-17-00150" class="html-bibr">39</a>,<a href="#B40-cancers-17-00150" class="html-bibr">40</a>,<a href="#B41-cancers-17-00150" class="html-bibr">41</a>,<a href="#B42-cancers-17-00150" class="html-bibr">42</a>,<a href="#B43-cancers-17-00150" class="html-bibr">43</a>,<a href="#B45-cancers-17-00150" class="html-bibr">45</a>,<a href="#B46-cancers-17-00150" class="html-bibr">46</a>,<a href="#B47-cancers-17-00150" class="html-bibr">47</a>,<a href="#B48-cancers-17-00150" class="html-bibr">48</a>,<a href="#B49-cancers-17-00150" class="html-bibr">49</a>].</p>
Full article ">Figure 11
<p>Readmission rate [<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B42-cancers-17-00150" class="html-bibr">42</a>,<a href="#B47-cancers-17-00150" class="html-bibr">47</a>].</p>
Full article ">Figure 12
<p>R1 resection margin rate [<a href="#B37-cancers-17-00150" class="html-bibr">37</a>,<a href="#B42-cancers-17-00150" class="html-bibr">42</a>,<a href="#B45-cancers-17-00150" class="html-bibr">45</a>].</p>
Full article ">Figure 13
<p>Thirty-day mortality rate [<a href="#B5-cancers-17-00150" class="html-bibr">5</a>,<a href="#B7-cancers-17-00150" class="html-bibr">7</a>,<a href="#B13-cancers-17-00150" class="html-bibr">13</a>,<a href="#B16-cancers-17-00150" class="html-bibr">16</a>,<a href="#B25-cancers-17-00150" class="html-bibr">25</a>,<a href="#B27-cancers-17-00150" class="html-bibr">27</a>,<a href="#B28-cancers-17-00150" class="html-bibr">28</a>,<a href="#B29-cancers-17-00150" class="html-bibr">29</a>,<a href="#B30-cancers-17-00150" class="html-bibr">30</a>,<a href="#B32-cancers-17-00150" class="html-bibr">32</a>,<a href="#B33-cancers-17-00150" class="html-bibr">33</a>,<a href="#B36-cancers-17-00150" class="html-bibr">36</a>,<a href="#B38-cancers-17-00150" class="html-bibr">38</a>,<a href="#B39-cancers-17-00150" class="html-bibr">39</a>,<a href="#B42-cancers-17-00150" class="html-bibr">42</a>,<a href="#B45-cancers-17-00150" class="html-bibr">45</a>,<a href="#B48-cancers-17-00150" class="html-bibr">48</a>].</p>
Full article ">Figure 14
<p>Cost of hospitalization [<a href="#B41-cancers-17-00150" class="html-bibr">41</a>,<a href="#B49-cancers-17-00150" class="html-bibr">49</a>].</p>
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12 pages, 848 KiB  
Article
Long-Term Oncological Outcomes Related to Lymphadenectomy in Clinical Stage I NSCLC: A Multicenter Retrospective Experience
by Beatrice Manfredini, Carmelina Cristina Zirafa, Alessandro Stefani, Gaetano Romano, Greta Alì, Riccardo Morganti, Ilaria Ceccarelli, Federico Davini, Pier Luigi Filosso and Franca Melfi
Curr. Oncol. 2025, 32(1), 31; https://doi.org/10.3390/curroncol32010031 - 5 Jan 2025
Viewed by 514
Abstract
Background: Lymphadenectomy is considered a key part of the radical treatment of resectable lung cancer, although its appropriate extension in early stages is a debated topic due to the great heterogeneity of studies in the literature. This study aims to evaluate the impact [...] Read more.
Background: Lymphadenectomy is considered a key part of the radical treatment of resectable lung cancer, although its appropriate extension in early stages is a debated topic due to the great heterogeneity of studies in the literature. This study aims to evaluate the impact of lymphadenectomy extent on survival and recurrence in the treatment of early-stage NSCLC patients undergoing lobectomy and lymph node dissection. Methods: Data from clinical stage I NSCLC patients undergoing lobectomy and hilar-mediastinal lymphadenectomy at two thoracic surgery centers from 2016 to 2019 were retrospectively evaluated. Information regarding perioperative outcomes and lymphadenectomy details was collected and analyzed, and their impact on OS, CSS, and DFS was assessed. Results: During the period under review, 323 patients with stage cI lung cancer underwent lobectomy with lymphadenectomy. Statistical analysis showed that the evaluated lymph nodal factors (mean number of lymph nodes removed and number and type of lymph node station explored) did not statistically significantly impact OS, CSS, and DFS at a median follow-up of 59 months (IQR 45–71). Conclusions: The results of this study suggest that a less invasive procedure than systematic lymphadenectomy could be performed in early-stage cases with adequate preoperative staging. Full article
(This article belongs to the Section Thoracic Oncology)
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Graphical abstract

Graphical abstract
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<p>OS survival curve calculated by Kaplan–Meier method.</p>
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<p>CSS survival curve calculated by Kaplan–Meier method.</p>
Full article ">Figure 3
<p>DFS survival curve calculated by Kaplan–Meier method.</p>
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