{"title":"Evaluating the quality of online resources for patient education on robotic esophagectomy.","authors":"Susheian Kelly, Rajika Jindani, Sophia Yanis, Noor Habboosh, Priyanka Parmar, Jorge-Humberto Rodriguez Quintero, Tamar Nobel, Marc Vimolratana, Neel Chudgar, Brendon Stiles","doi":"10.1007/s11701-025-02297-2","DOIUrl":"10.1007/s11701-025-02297-2","url":null,"abstract":"<p><p>Robotic approaches have gained popularity in recent years, with multiple studies showing improved short- and long-term outcomes with this technique for esophagectomy. Educational resources should be assessed to ensure patients are knowledgeable about the treatment modalities that are available. Our aim is to evaluate whether online content is a reliable source of patient educational material for robotic esophagectomy. A YouTube query was performed for: \"Robot Assisted Minimally Invasive Esophagectomy.\" The first 60 videos were evaluated by two independent reviewers and scored using the DISCERN tool. Of the 60 videos reviewed, 48 (80%) were included. The average DISCERN score for the videos was 1.3 ± 0.57 (SD), with a score > 3 being good for patient education and ≤ 3 being poor. The content available on YouTube for education about robotic esophagectomy is better suited for surgical education. This underscores a significant opportunity to improve patient education resources for the betterment of shared decision making.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"228"},"PeriodicalIF":2.2,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12098202/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144128075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of differences in intraoperative blood loss between left-sided and right-sided robot-assisted partial nephrectomy.","authors":"Tomoya Yokoi, Rina Ogawa, Eriko Tanaka, Masanori Ito, Heisuke Iijima, Takehiro Takahashi, Masakatsu Ueda, Yusuke Shiraishi, Koji Yoshimura","doi":"10.1007/s11701-025-02380-8","DOIUrl":"https://doi.org/10.1007/s11701-025-02380-8","url":null,"abstract":"<p><p>This study investigates robot-assisted partial nephrectomy for small-diameter renal tumors, specifically focusing on intraoperative blood loss differences between left and right sides. The study, referenced as ROID2114, involved a retrospective analysis of 173 patients who underwent robot-assisted partial nephrectomy for renal tumors at our institution from November 2016 to March 2024. We evaluated the demographic data, operative duration, and blood loss between groups with right-sided and left-sided tumors. Increased blood loss was classified as a 75th percentile threshold of ≥ 200 ml, and multivariate analysis was conducted to identify risk factors associated with elevated blood loss. Among the patients, 93 (53.8%) had right-sided tumors. No significant differences were found in age, operative time, RENAL score, tumor size, body mass index (BMI), MAP score, or surgical approach between the two sides; however, intraoperative blood loss was notably higher on the right side (100 mL) compared to the left (50 mL, p = 0.016). The multivariate analysis identified several factors linked to increased blood loss: extended operative time (≥ 202 min; p = 0.01, odds ratio 2.81, 95% CI 1.26-6.28), larger tumor size (≥ 27 mm; p = 0.04, odds ratio 2.21, 95% CI 1.02-4.81), and right-sided tumors (p = 0.01, odds ratio 2.82, 95% CI 1.28-6.23). Thus, right-sided tumors, longer operative durations, and RENAL scores exceeding 6 are correlated with heightened intraoperative blood loss in robot-assisted partial nephrectomy.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"224"},"PeriodicalIF":2.2,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global trends and hotspots in the learning curves of robotic-assisted surgery: a bibliometric and visualization analysis.","authors":"Xianfa Zhang, Jing Wang, Li'na Chen, Huarong Ding","doi":"10.1007/s11701-025-02391-5","DOIUrl":"https://doi.org/10.1007/s11701-025-02391-5","url":null,"abstract":"<p><p>In recent years, there has been a substantial increase in the number of research papers published in the field of robotic-assisted surgery (RAS). Nevertheless, systematic analyses focusing on the key hotspots associated with the learning curves (LCs) of RAS, global collaboration models, and future trends remain relatively limited. This study employed bibliometric methods to conduct a comprehensive search and analysis of papers on the LC of RAS published in the Web of Science Core Collection between 2005 and 2025. A visual analysis was performed across multiple dimensions, including countries, institutions, sources, and authors. The results revealed an upward trend in the number of publications, with a peak observed in 2024. The United States ranked first in terms of publication volume, while Yonsei University emerged as the most productive institution. Mottrie Alexandre contributed to the highest number of publications, and Dindo d received the highest number of citations. Frequently occurring keywords included \"outcome\", \"experience\", \"minimally invasive surgery\", \"revision\", and \"laparoscopic surgery\". Clustering keywords were associated with \"rectal cancer\", \"en-y gastric bypass\", \"transoral robotic surgery\", \"spine surgery\", and \"endometrial cancer\". Furthermore, the top five keywords with the strongest citation bursts were \"laparoscopic radical prostatectomy\", \"total mesorectal excision\", \"da vinci\", \"prostatectomy\", and \"mrc clasicc trial\". This study offers valuable insights into the future development of this field and supports further exploration and innovation.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"223"},"PeriodicalIF":2.2,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marta Maes-Carballo, Yolanda Gómez-Fandiño, Pedro Manuel Segovia Braña, Carmen Martínez-Martínez, Claudia Alberca-Remigio, Cristina Cámara-Martínez, Manuel García-García
{"title":"Robotic nipple-sparing mastectomy: a comparative analysis with conventional and endoscopic techniques through a systematic review.","authors":"Marta Maes-Carballo, Yolanda Gómez-Fandiño, Pedro Manuel Segovia Braña, Carmen Martínez-Martínez, Claudia Alberca-Remigio, Cristina Cámara-Martínez, Manuel García-García","doi":"10.1007/s11701-025-02388-0","DOIUrl":"10.1007/s11701-025-02388-0","url":null,"abstract":"<p><p>Robotic nipple-sparing mastectomy (R-NSM) has emerged as an innovative approach in breast cancer surgery, offering improved aesthetic outcomes and patient satisfaction. However, its adoption remains controversial due to limited regulatory approval, higher costs, and the need for further comparative evidence. This systematic review aims to evaluate and compare conventional, endoscopic, and robotic NSM techniques to clarify their respective benefits, limitations, and outcomes. Following OSF registration (osf.io/6xt4s), a systematic review was conducted, identifying studies on nipple-sparing mastectomy (NSM) across multiple databases (January 2025). No language or data availability restrictions were applied. Study quality was assessed using the QualSyst criteria (range: 0.0-1.0). Twelve studies met inclusion criteria (ten observational, two clinical trials), with quality scores ranging from 0.75 to 0.95. R-NSM was associated with longer operative times (+ 25-60 min) and higher costs (+ $3,700-$5,000 per procedure). However, it demonstrated superior aesthetic outcomes, with concealed scars and higher patient satisfaction at 1-year follow-up (p = 0.03). Oncologic safety was comparable among NSM techniques, with no significant differences in recurrence, survival, or positive margin rates. While R-NSM initially resulted in prolonged hospital stays (+ 1.5-3 days), this effect diminished with surgical experience. In addition, R-NSM was linked to reduced intraoperative blood loss and a lower risk of severe postoperative complications, particularly nipple-areola complex necrosis. R-NSM offers promising benefits in selected patients, particularly regarding cosmetic outcomes and reduced complications. However, challenges remain, including high costs, longer surgical times, and the need for standardized protocols. Future research should focus on optimizing surgical techniques, refining patient selection, and conducting high-quality randomized controlled trials to establish its definitive role in breast cancer management.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"220"},"PeriodicalIF":2.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camilo Andrés Giedelman Cuevas, Gonzalo Andrés Domínguez Alvarado, Claudia Jaimes González, Carlos Felipe Palomino Peña, Luis Eduardo Cavelier Castro
{"title":"Scientific evolution of robotic surgery in urogenital diseases: bibliometric analysis.","authors":"Camilo Andrés Giedelman Cuevas, Gonzalo Andrés Domínguez Alvarado, Claudia Jaimes González, Carlos Felipe Palomino Peña, Luis Eduardo Cavelier Castro","doi":"10.1007/s11701-025-02359-5","DOIUrl":"https://doi.org/10.1007/s11701-025-02359-5","url":null,"abstract":"<p><p>Robotic surgery has revolutionized modern medicine, particularly in urology, by enhancing surgical precision through advanced visualization, motion scaling, and tremor filtration. As a result, robotic-assisted surgery has become the standard of care for complex procedures, such as radical prostatectomy, with demonstrated benefits in reducing complications and improving clinical outcomes. Despite the rapid evolution of this field, no comprehensive bibliometric analysis has systematically evaluated its scientific trajectory, research trends, and international collaboration. A cross-sectional bibliometric study was conducted using Scopus as the primary data source. A semi-structured search strategy incorporating MeSH terms and synonyms was applied to identify publications related to robotic surgery in urogenital diseases. Data were exported, standardized, and analyzed using Bibliometrix (R 4.3.1) for bibliometric and network analyses. A total of 3506 publications (1993-2024) were included, with 79.2% original articles and 11.6% reviews. The United States (n = 1388) led the scientific production, followed by Italy (n = 389) and Japan (n = 285). The research predominantly focused on prostate tumors, clinical outcomes, and surgical complications, while recent trends highlighted growing interest in robot-assisted total cystectomy. The exponential growth of robotic surgery research aligns with its increasing clinical adoption. However, regional disparities persist, emphasizing the need to expand scientific contributions from high-volume surgical centers. Promoting global research collaboration will further consolidate robotic surgery as a fundamental tool in urological practice.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"219"},"PeriodicalIF":2.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rong Wang, Nan Zheng, Yujing Liang, Haoxin Cui, Tong Ren, Wenhui Xing, Yanghui Li
{"title":"Multi-perspective analysis of daVinci surgical virtual reality training: a prospective randomized controlled study.","authors":"Rong Wang, Nan Zheng, Yujing Liang, Haoxin Cui, Tong Ren, Wenhui Xing, Yanghui Li","doi":"10.1007/s11701-025-02309-1","DOIUrl":"10.1007/s11701-025-02309-1","url":null,"abstract":"<p><p>This study explored the impact of virtual reality (VR) training on improving the acquisition of basic robotic surgical skills by analyzing the effects of training in the daVinci Surgical System (dVSS) simulator from multiple perspectives. 27 subjects were randomly divided into a VR-training group and a control group, with the VR-training group (n = 12) receiving training on the dVSS simulator (XI) to achieve expert-specific proficiency status, and the control group (n = 15) receiving no training. All the subjects subsequently wore electroencephalography (EEG) equipment to perform 6 tasks and repeated 3 times on the dVSS simulator (SI). The Global Evaluative Assessment of Robotic Skills (GEARS) scores, dVSS scores, the National Aeronautics and Space Administration Task Load Index (NASA TLX) scores, and EEG data of all the subjects were collected to conduct a comprehensive and multi-perspective analysis for dVSS training. Learning curve analysis revealed that all trainees improved their basic robotic surgical skills and reached a steady state after training. Compared with the control group, the VR-training group received higher the GEARS scores (24.91 ± 3.36 vs. 19.68 ± 3.07; p < 0.01) and dVSS scores and lower the NASA TLX scores (40.04 ± 10.55 vs. 48.2 ± 9.88; p < 0.01). In the EEG analysis, the VR-training group had higher scores in the Beta band and the Low-gamma band in the brain regions and had greater energy activation than did the control group. This randomized controlled trial combined subjective and objective evaluations to comprehensively analyze subjects' technical and nontechnical skills. It demonstrated that training on the dVSS simulator significantly improved trainees' basic robotic surgical skills and that they could achieve better basic robotic surgical skills at lower workloads. Trial registration: The study was retrospectively registered at the Chinese Clinical Trial Center. The trial registration number (TRN) was ChiCTR2400088465, and the registration day was August 20, 2024.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"221"},"PeriodicalIF":2.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084236/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A S Ramakrishnan, Jagdish Kothari, Surender Kumar Dabas, Venkatesh Munnikrishnan, O V Sudheer, Jeewan Ram Vishnoi, Shivendra Singh, Jagannath Dixit, Sandeep Nayak, Ashwani Sharma, Devendra Parikh, Venkat Paneer, Priya Kapoor, S P Somashekhar, Krishna M S Bharadwaj, Divya Gupta, Akhil Dahiya
{"title":"Short-term clinical outcomes of open, laparoscopic, and robotic-assisted rectal resections: a multicenter real-world evidence study from Indian collaborative group on rectal resections (ICGRR).","authors":"A S Ramakrishnan, Jagdish Kothari, Surender Kumar Dabas, Venkatesh Munnikrishnan, O V Sudheer, Jeewan Ram Vishnoi, Shivendra Singh, Jagannath Dixit, Sandeep Nayak, Ashwani Sharma, Devendra Parikh, Venkat Paneer, Priya Kapoor, S P Somashekhar, Krishna M S Bharadwaj, Divya Gupta, Akhil Dahiya","doi":"10.1007/s11701-025-02375-5","DOIUrl":"10.1007/s11701-025-02375-5","url":null,"abstract":"<p><p>This multi-centric real-world study was carried out to assess the perioperative and histopathological clinical outcomes of rectal resections employing open, laparoscopic, and robotic-assisted techniques. A retrospective chart review was undertaken for patients who underwent rectal resections for Stages I, II, and III rectal cancer (RC) between April 2012 and August 2023. All surgical procedures were performed with the principles of total mesorectal excision (TME) or partial mesorectal excision (for tumors located higher in the rectum). The study analyzed data from 829 patients of which 314 were in the robotic-assisted group (RAS), 206 in the laparoscopic surgery group (LG), and 309 in the open-surgery group (OG). The TNM staging and location of RC were evenly distributed across the three groups. The RAS group had a significantly lower length of hospital stay than LG and OG. Compared to LG and OG, the RAS group had less blood loss and postoperative complications, but significantly longer mean operating room time. The conversion rate of the RAS group was significantly lower than that of the LG group (p = 0.03). In comparison to the OG and LG groups, the RAS group had significantly lower (p < 0.05) rates of positive circumferential resection margin (CRM). Adjuvant treatment was administered in the RAS group significantly earlier (median, 24.5 days, IQR 18-37) compared to the LG (median, 31 days, IQR 23-41) and OG (median, 32.5 days, IQR 27-42). This largest multi‑centric study by the ICRR group has validated the value of a relatively newer technology like RAS in real-world Indian settings for rectal resections.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"222"},"PeriodicalIF":2.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084228/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144086814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eoghan Burke, Michael Devine, Patricia Harkins, Sarah Fenn, Mohammad Faraz Khan, Barry B McGuire
{"title":"Robotic surgery governance structures: a systematic review.","authors":"Eoghan Burke, Michael Devine, Patricia Harkins, Sarah Fenn, Mohammad Faraz Khan, Barry B McGuire","doi":"10.1007/s11701-025-02356-8","DOIUrl":"10.1007/s11701-025-02356-8","url":null,"abstract":"<p><p>Since the Food and Drug Administration in the United States approved the first robotic platform for use in humans in 2000, there has been a steady increase in the popularity of robotic approaches to surgery. Robotic-assisted surgery (RAS) offers enhanced 3D visualisation of the operative field and increased flexibility and agility of the instruments, amongst other benefits. However, robotic platforms are complex systems and there is evidence that they may be associated with increased patient risk, particularly in the initial learning curve of a surgeon's robotic training. To ensure the continued safe use of RAS, adequate governance policies must be in place to regulate training, ensure patient safety and maximise the benefits of RAS programs. This systematic review synthesises all available evidence on RAS governance structures internationally for the first time. It was conducted and reported per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. This systematic review identified, for the first time, three guidelines offering recommendations on the Governance Structures for RAS programs. We extracted the key recommendations to provide a holistic set of guidelines. Through consensus, we offer recommendations for the composition of a RAS governance committee, the frequency with which the committee should sit, and the remit of the committee, including training, granting of privileges, quality assurance and continued professional development. We also stress future research needs in RAS team credentialing and vendor-agnostic training pathways. These recommendations may serve as a template for establishing future RAS programs.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"218"},"PeriodicalIF":2.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12081519/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Keshav Kumar Gupta, Anthony Simons, Sean Mortimore, David Walker, Raguwinder Bindy Sahota, Mriganka De, Asit Arora, George Garas
{"title":"Consensus regarding transoral robotic surgery (TORS) complications for use in a proposed standardised consent form.","authors":"Keshav Kumar Gupta, Anthony Simons, Sean Mortimore, David Walker, Raguwinder Bindy Sahota, Mriganka De, Asit Arora, George Garas","doi":"10.1007/s11701-025-02389-z","DOIUrl":"https://doi.org/10.1007/s11701-025-02389-z","url":null,"abstract":"<p><p>Consenting patients for surgery is a vital process with ethical and legal implications. The use of a standardised consent form may provide a solution to issues related to poor communication surrounding the consenting process. To date, there is no standardised consent form available for use specifically for transoral robotic surgery (TORS) across robotic centres. In an attempt to improve the consenting process relating specifically to TORS, this study aims to develop a standardised consent form using a modified Delphi process. A modified Delphi process was employed to define consensus for complications to be used in a standardised consent form for TORS. An initial iteration was devised using a literature search with experts rating each item using a Likert scale. The process was repeated until consensus was reached for all items. Two rounds were completed with seven experts detailing key risks to be included on a standardised TORS consent form. This study is the first to propose a standardised consent form for use specifically in TORS. The authors agree with other literature that suggests that the use of standardised consent forms provide numerous advantages over handwritten forms. Future studies are needed to evaluate its implementation across multiple centres in order to assess the proposed benefits to both clinicians and patients.</p>","PeriodicalId":47616,"journal":{"name":"Journal of Robotic Surgery","volume":"19 1","pages":"217"},"PeriodicalIF":2.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zoe Williams, Jeremy Saad, Femi E Ayeni, Henry Wang, Wenjie Zhong, Rasha Gendy, Mohan Arianayagam, Bertram Canagasingham, Ahmed Goolam, Nicola Jeffery, Jonathan Kam, Mohamed Khadra, Raymond Ko, Nicholas Mehan, Celalettin Varol, Isaac Thangasamy