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Basile G, Gallioli A, Diana P, Gallagher A, Larcher A, Graefen M, Harke N, Traxer O, Tilki D, Van Der Poel H, Emiliani E, Angerri O, Wagner C, Montorsi F, Wiklund P, Somani B, Buffi N, Mottrie A, Liatsikos E, Breda A. Current Standards for Training in Robot-assisted Surgery and Endourology: A Systematic Review. Eur Urol 2024; 86:130-145. [PMID: 38644144 DOI: 10.1016/j.eururo.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/25/2024] [Accepted: 04/08/2024] [Indexed: 04/23/2024]
Abstract
BACKGROUND AND OBJECTIVE Different training programs have been developed to improve trainee outcomes in urology. However, evidence on the optimal training methodology is sparse. Our aim was to provide a comprehensive description of the training programs available for urological robotic surgery and endourology, assess their validity, and highlight the fundamental elements of future training pathways. METHODS We systematically reviewed the literature using PubMed/Medline, Embase, and Web of Science databases. The validity of each training model was assessed. The methodological quality of studies on metrics and curricula was graded using the MERSQI scale. The level of evidence (LoE) and level of recommendation for surgical curricula were awarded using the educational Oxford Centre for Evidence-Based Medicine classification. KEY FINDINGS AND LIMITATIONS A total of 75 studies were identified. Many simulators have been developed to aid trainees in mastering skills required for both robotic and endourology procedures, but only four demonstrated predictive validity. For assessment of trainee proficiency, we identified 18 in robotics training and six in endourology training; however, the majority are Likert-type scales. Although proficiency-based progression (PBP) curricula demonstrated superior outcomes to traditional training in preclinical settings, only four of six (67%) in robotics and three of nine (33%) in endourology are PBP-based. Among these, the Fundamentals of Robotic Surgery and the SIMULATE curricula have the highest LoE (level 1b). The lack of a quantitative synthesis is the main limitation of our study. CONCLUSIONS AND CLINICAL IMPLICATIONS Training curricula that integrate simulators and PBP methodology have been introduced to standardize trainee outcomes in robotics and endourology. However, evidence regarding their educational impact remains restricted to preclinical studies. Efforts should be made to expand these training programs to different surgical procedures and assess their clinical impact.
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Affiliation(s)
- Giuseppe Basile
- Department of Urology, Fundació Puigvert, Barcelona, Spain; Department of Urology, IRCCS San Raffaele Hospital, Milan, Italy.
| | - Andrea Gallioli
- Department of Urology, Fundació Puigvert, Barcelona, Spain; Department of Surgery, Autonomous University of Barcelona, Bellaterra, Spain
| | - Pietro Diana
- Department of Urology, Fundació Puigvert, Barcelona, Spain; Department of Surgery, Autonomous University of Barcelona, Bellaterra, Spain; Department of Urology, Humanitas Clinical and Research Institute IRCCS, Rozzano, Italy
| | - Anthony Gallagher
- Faculty of Medicine, KU Leuven, Leuven, Belgium; Faculty of Health and Life Sciences, Ulster University, Coleraine, UK; ORSI Academy, Melle, Belgium
| | | | - Markus Graefen
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Nina Harke
- Department of Urology, Hannover Medical School, Hannover, Germany
| | - Olivier Traxer
- Department of Urology, Sorbonne University, Tenon Hospital, AP-HP, Paris, France
| | - Derya Tilki
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, Koc University Hospital, Istanbul, Turkey
| | - Henk Van Der Poel
- Department of Urology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Oriol Angerri
- Department of Urology, Fundació Puigvert, Barcelona, Spain
| | - Christian Wagner
- Prostate Center Northwest, Department of Urology, Pediatric Urology and Uro-Oncology, St. Antonius-Hospital, Gronau, Germany
| | | | - Peter Wiklund
- Icahn School of Medicine, Mount Sinai Health System New York City, NY, USA; Department of Urology, Karolinska Institutet, Stockholm, Sweden
| | - Bhaskar Somani
- Department of Urology, University Hospital Southampton NHS Trust, Southampton, UK
| | - Nicolò Buffi
- Department of Urology, Humanitas Clinical and Research Institute IRCCS, Rozzano, Italy
| | - Alex Mottrie
- ORSI Academy, Melle, Belgium; Department of Urology, OLV Hospital, Aalst, Belgium
| | | | - Alberto Breda
- Department of Urology, Fundació Puigvert, Barcelona, Spain; Department of Surgery, Autonomous University of Barcelona, Bellaterra, Spain
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El-Sayed C, Yiu A, Burke J, Vaughan-Shaw P, Todd J, Lin P, Kasmani Z, Munsch C, Rooshenas L, Campbell M, Bach SP. Measures of performance and proficiency in robotic assisted surgery: a systematic review. J Robot Surg 2024; 18:16. [PMID: 38217749 DOI: 10.1007/s11701-023-01756-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 11/07/2023] [Indexed: 01/15/2024]
Abstract
Robotic assisted surgery (RAS) has seen a global rise in adoption. Despite this, there is not a standardised training curricula nor a standardised measure of performance. We performed a systematic review across the surgical specialties in RAS and evaluated tools used to assess surgeons' technical performance. Using the PRISMA 2020 guidelines, Pubmed, Embase and the Cochrane Library were searched systematically for full texts published on or after January 2020-January 2022. Observational studies and RCTs were included; review articles and systematic reviews were excluded. The papers' quality and bias score were assessed using the Newcastle Ottawa Score for the observational studies and Cochrane Risk Tool for the RCTs. The initial search yielded 1189 papers of which 72 fit the eligibility criteria. 27 unique performance metrics were identified. Global assessments were the most common tool of assessment (n = 13); the most used was GEARS (Global Evaluative Assessment of Robotic Skills). 11 metrics (42%) were objective tools of performance. Automated performance metrics (APMs) were the most widely used objective metrics whilst the remaining (n = 15, 58%) were subjective. The results demonstrate variation in tools used to assess technical performance in RAS. A large proportion of the metrics are subjective measures which increases the risk of bias amongst users. A standardised objective metric which measures all domains of technical performance from global to cognitive is required. The metric should be applicable to all RAS procedures and easily implementable. Automated performance metrics (APMs) have demonstrated promise in their wide use of accurate measures.
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Affiliation(s)
- Charlotte El-Sayed
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom.
| | - A Yiu
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - J Burke
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - P Vaughan-Shaw
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - J Todd
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - P Lin
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - Z Kasmani
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - C Munsch
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - L Rooshenas
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - M Campbell
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
| | - S P Bach
- RCS England/HEE Robotics Research Fellow, University of Birmingham, Birmingham, United Kingdom
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Boal MWE, Anastasiou D, Tesfai F, Ghamrawi W, Mazomenos E, Curtis N, Collins JW, Sridhar A, Kelly J, Stoyanov D, Francis NK. Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review. Br J Surg 2024; 111:znad331. [PMID: 37951600 PMCID: PMC10771126 DOI: 10.1093/bjs/znad331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND There is a need to standardize training in robotic surgery, including objective assessment for accreditation. This systematic review aimed to identify objective tools for technical skills assessment, providing evaluation statuses to guide research and inform implementation into training curricula. METHODS A systematic literature search was conducted in accordance with the PRISMA guidelines. Ovid Embase/Medline, PubMed and Web of Science were searched. Inclusion criterion: robotic surgery technical skills tools. Exclusion criteria: non-technical, laparoscopy or open skills only. Manual tools and automated performance metrics (APMs) were analysed using Messick's concept of validity and the Oxford Centre of Evidence-Based Medicine (OCEBM) Levels of Evidence and Recommendation (LoR). A bespoke tool analysed artificial intelligence (AI) studies. The Modified Downs-Black checklist was used to assess risk of bias. RESULTS Two hundred and forty-seven studies were analysed, identifying: 8 global rating scales, 26 procedure-/task-specific tools, 3 main error-based methods, 10 simulators, 28 studies analysing APMs and 53 AI studies. Global Evaluative Assessment of Robotic Skills and the da Vinci Skills Simulator were the most evaluated tools at LoR 1 (OCEBM). Three procedure-specific tools, 3 error-based methods and 1 non-simulator APMs reached LoR 2. AI models estimated outcomes (skill or clinical), demonstrating superior accuracy rates in the laboratory with 60 per cent of methods reporting accuracies over 90 per cent, compared to real surgery ranging from 67 to 100 per cent. CONCLUSIONS Manual and automated assessment tools for robotic surgery are not well validated and require further evaluation before use in accreditation processes.PROSPERO: registration ID CRD42022304901.
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Affiliation(s)
- Matthew W E Boal
- The Griffin Institute, Northwick Park & St Marks’ Hospital, London, UK
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
| | - Dimitrios Anastasiou
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
- Medical Physics and Biomedical Engineering, UCL, London, UK
| | - Freweini Tesfai
- The Griffin Institute, Northwick Park & St Marks’ Hospital, London, UK
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
| | - Walaa Ghamrawi
- The Griffin Institute, Northwick Park & St Marks’ Hospital, London, UK
| | - Evangelos Mazomenos
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
- Medical Physics and Biomedical Engineering, UCL, London, UK
| | - Nathan Curtis
- Department of General Surgey, Dorset County Hospital NHS Foundation Trust, Dorchester, UK
| | - Justin W Collins
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Ashwin Sridhar
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - John Kelly
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Danail Stoyanov
- Wellcome/ESPRC Centre for Interventional Surgical Sciences (WEISS), University College London (UCL), London, UK
- Computer Science, UCL, London, UK
| | - Nader K Francis
- The Griffin Institute, Northwick Park & St Marks’ Hospital, London, UK
- Division of Surgery and Interventional Science, Research Department of Targeted Intervention, UCL, London, UK
- Yeovil District Hospital, Somerset Foundation NHS Trust, Yeovil, Somerset, UK
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Iqbal U, Jing Z, Ahmed Y, Elsayed AS, Rogers C, Boris R, Porter J, Allaf M, Badani K, Stifelman M, Kaouk J, Terakawa T, Hinata N, Aboumohamed AA, Kauffman E, Li Q, Abaza R, Guru KA, Hussein AA, Eun D. Development and Validation of an Objective Scoring Tool for Robot-Assisted Partial Nephrectomy: Scoring for Partial Nephrectomy. J Endourol 2021; 36:647-653. [PMID: 34809491 DOI: 10.1089/end.2021.0706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Objective: To develop a structured and objective scoring tool for assessment of robot-assisted partial nephrectomy (RAPN): Scoring for Partial Nephrectomy (SPaN). Materials and Methods: Content development: RAPN was deconstructed into 6 domains by a multi-institutional panel of 10 expert robotic surgeons. Performance on each domain was represented on a Likert scale of 1 to 5, with specific descriptions of anchors 1, 3, and 5. Content validation: The Delphi methodology was utilized to achieve consensus about the description of each anchor for each domain in terms of appropriateness of the skill assessed, objectiveness, clarity, and unambiguous wording. The content validity index (CVI) of ≥0.75 was set as cutoff for consensus. Reliability: 15 de-identified videos of RAPN were utilized to determine the inter-rater reliability using linearly weighted percent agreement, and Construct validation of SPaN was described in terms of median scores and odds ratios. Results: The expert panel reached consensus (CVI ≥0.75) after 2 rounds. Consensus was achieved for 36 (67%) statements in the first round and 18 (33%) after the second round. The final six-domain SPaN included Exposure of the kidney; Identification and dissection of the ureter and gonadal vessels; Dissection of the hilum; Tumor localization and exposure; Clamping and tumor resection; and Renorrhaphy. The linearly weighted percent agreement was >0.75 for all domains. There was no difference between median scores for any domain between attendings and trainees. Conclusion: Despite the lack of significant construct validity, SPaN is a structured, reliable, and procedure-specific tool that can objectively assesses technical proficiency for RAPN.
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Affiliation(s)
- Umar Iqbal
- A.T.L.A.S. (Applied Technology Laboratory for Advanced Surgery), Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Zhe Jing
- A.T.L.A.S. (Applied Technology Laboratory for Advanced Surgery), Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Youssef Ahmed
- A.T.L.A.S. (Applied Technology Laboratory for Advanced Surgery), Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Ahmed S Elsayed
- A.T.L.A.S. (Applied Technology Laboratory for Advanced Surgery), Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.,Cairo University, Cairo, Egypt
| | - Craig Rogers
- Henry Ford Health Systems, Detroit, Michigan, USA
| | - Ronald Boris
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - James Porter
- Swedish Medical Center, Seattle, Washington, USA
| | - Mohammad Allaf
- Johns Hopkins University Hospital, Boston, Massachusetts, USA
| | - Ketan Badani
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | | | - Nobuyuki Hinata
- Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
| | | | - Eric Kauffman
- A.T.L.A.S. (Applied Technology Laboratory for Advanced Surgery), Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Qiang Li
- A.T.L.A.S. (Applied Technology Laboratory for Advanced Surgery), Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | | | - Khurshid A Guru
- A.T.L.A.S. (Applied Technology Laboratory for Advanced Surgery), Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Ahmed A Hussein
- A.T.L.A.S. (Applied Technology Laboratory for Advanced Surgery), Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.,Cairo University, Cairo, Egypt
| | - Daniel Eun
- Temple University Hospital, Philadelphia, Pennsylvania, USA
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Abstract
PURPOSE OF REVIEW This review aims to summarize innovations in urologic surgical training in the past 5 years. RECENT FINDINGS Many assessment tools have been developed to objectively evaluate surgical skills and provide structured feedback to urologic trainees. A variety of simulation modalities (i.e., virtual/augmented reality, dry-lab, animal, and cadaver) have been utilized to facilitate the acquisition of surgical skills outside the high-stakes operating room environment. Three-dimensional printing has been used to create high-fidelity, immersive dry-lab models at a reasonable cost. Non-technical skills such as teamwork and decision-making have gained more attention. Structured surgical video review has been shown to improve surgical skills not only for trainees but also for qualified surgeons. Research and development in urologic surgical training has been active in the past 5 years. Despite these advances, there is still an unfulfilled need for a standardized surgical training program covering both technical and non-technical skills.
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Abstract
PURPOSE OF REVIEW The aim of this narrative review is to identify the currently available training programs in the field of robotic-assisted surgery. RECENT FINDINGS The lack of well trained robotic surgeons represents the main obstacle facing robotic surgery. This calls for development of structured robotic training programs in order to improve patient safety and outcomes. Structured curriculum should consist of theoretical training (e-learning, case observation), preclinical simulation-based training (virtual reality simulation, dry and wet lab), clinical modular training, and final evaluation. Tele-mentoring might reveal mandatory in future curricula development. To date, several training programs are currently available for robotic surgery. However, the majority lack of clinical modular training that consists of progressive, proficiency-based training through surgical steps with increasing levels of complexity. Moreover, many of these curricula lack validation. SUMMARY This recent literature analysis suggests that there is an urgent need to develop and validate new structured training curricula for robotic surgery. This allows to improve the skills of the surgeons and of their team and to prevent patients from being used as a training module optimizing their safety.
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Leow JJ, Catto JWF, Efstathiou JA, Gore JL, Hussein AA, Shariat SF, Smith AB, Weizer AZ, Wirth M, Witjes JA, Trinh QD. Quality Indicators for Bladder Cancer Services: A Collaborative Review. Eur Urol 2020; 78:43-59. [PMID: 31563501 DOI: 10.1016/j.eururo.2019.09.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 09/03/2019] [Indexed: 12/14/2022]
Abstract
CONTEXT There is a lack of accepted consensus on what should constitute appropriate quality-of-care indicators for bladder cancer. OBJECTIVE To evaluate the optimal management of bladder cancer and propose quality indicators (QIs). EVIDENCE ACQUISITION A systematic review was performed to identify literature on current optimal management and potential quality indicators for both non-muscle-invasive (NMIBC) and muscle-invasive (MIBC) bladder cancer. A panel of experts was convened to select a recommended list of QIs. EVIDENCE SYNTHESIS For NMIBC, preoperative QIs include tobacco cessation counselling and appropriate imaging before initial transurethral resection of bladder tumour (TURBT). Intraoperative QIs include administration of antibiotics, proper safe conduct of TURBT using a checklist, and performing restaging TURBT with biopsy of the prostatic urethra in appropriate cases. Postoperative QIs include appropriate receipt of perioperative adjuvant therapy, risk-stratified surveillance, and appropriate decision to change therapy when indicated (eg, bacillus Calmette-Guerin [BCG] unresponsive). For MIBC, preoperative QIs include multidisciplinary care, selection for candidates for continent urinary diversion, receipt of neoadjuvant cisplatin-based chemotherapy, time to commencing radical treatment, consideration of trimodal therapy as a bladder-sparing alternative in select patients, preoperative counselling with stoma marking, surgical volume of radical cystectomy, and enhanced recovery after surgery protocols. Intraoperative QIs include adequacy of lymphadenectomy, blood loss, and operative time. Postoperative QIs include prospective standardised monitoring of morbidity and mortality, negative surgical margins for pT2 disease, appropriate surveillance after primary treatment, and adjuvant cisplatin-based chemotherapy in appropriate cases. Participation in clinical trials was highlighted as an important component indicating high quality of care. CONCLUSIONS We propose a set of QIs for both NMIBC and MIBC based on established clinical guidelines and the available literature. Although there is currently a lack of level 1 evidence for the benefit of implementing these QIs, we believe that the measurement of these QIs could aid in the improvement and benchmarking of optimal care for bladder cancer. PATIENT SUMMARY After a systematic review of existing guidelines and literature, a panel of experts has recommended a set of quality indicators that can help providers and patients measure and strive towards optimal outcomes for bladder cancer care.
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Affiliation(s)
- Jeffrey J Leow
- Department of Urology, Tan Tock Seng Hospital, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - James W F Catto
- Academic Urology Unit, The University of Sheffield, Sheffield, UK
| | - Jason A Efstathiou
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - John L Gore
- Department of Urology, University of Washington School of Medicine, Seattle, WA, USA
| | - Ahmed A Hussein
- Department of Urology, Cairo University, Cairo, Egypt; Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Shahrokh F Shariat
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria; Departments of Urology, Weill Cornell Medical College, New York, NY, USA; Department of Urology, University of Texas Southwestern, Dallas, TX, USA; Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic; Institute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Angela B Smith
- Department of Urology, Lineberger Comprehensive Cancer Center, UNC-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Alon Z Weizer
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
| | - Manfred Wirth
- Department of Urology, University Hospital Carl Gustav Carus, Technical University of Dresden, Dresden, Germany
| | - J Alfred Witjes
- Department of Urology, Radboud University, Nijmegen, The Netherlands
| | - Quoc-Dien Trinh
- Division of Urological Surgery and Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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A computer vision technique for automated assessment of surgical performance using surgeons’ console-feed videos. Int J Comput Assist Radiol Surg 2018; 14:697-707. [DOI: 10.1007/s11548-018-1881-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 10/24/2018] [Indexed: 11/26/2022]
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