Syed Johar Raza1, Erinn Field1, Christopher Jay1, Daniel Eun2, Michael Fumo3, Jim C Hu4, David Lee5, Zayn Mehboob1, John Nyquist6, James O Peabody7, Richard Sarle8, Hans Stricker7, Zhengyu Yang1, Gregory Wilding1, James L Mohler1, Khurshid A Guru9. 1. Department of Urology, Roswell Park Cancer Institute, Buffalo, NY. 2. Department of Urology, Temple University School of Medicine, Philadelphia, PA. 3. Department of Urology, University of Illinois College of Medicine at Rockford, Rockford, IL. 4. Department of Urology, University of California, Los Angeles, CA. 5. Division of Urology, Penn Presbyterian Medical Center, Philadelphia, PA. 6. Department of Health Sciences: Pathology and Anatomical Sciences, Medical Illustrations and Graphics, University at Buffalo, Buffalo, NY. 7. Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI. 8. Department of Urology, Wayne State University Medical School, Detroit, MI. 9. Department of Urology, Roswell Park Cancer Institute, Buffalo, NY. Electronic address: Khurshid.guru@roswellpark.org.
Abstract
OBJECTIVE: To develop and validate an assessment tool for the performance of urethrovesical anastomosis (UVA). METHODS: A multicenter, prospective, observational study was conducted in 2 phases. Phase 1, development and content validation, used a panel of 5 experienced robotic surgeons to develop a 6-domain scoring system, Robotic Anastomosis Competence Evaluation (RACE), to assess technical skills for performing UVA. Phase 2, construct validation and reliability, used 5 blinded experienced robotic surgeons to rate UVA recordings of expert, advanced beginner, and novice groups. Content validation index was determined to report consensus in phase 1. Phase 2 involved comparison of RACE scores among the 3 groups. Wilcoxon rank-sum tests were used to compare RACE scores. RESULTS: Two rounds of Delphi methodology achieved consensus on language and content of RACE. Eight experts, 10 advanced beginners, and 10 novice robotic surgeons participated in the validation study. The overall score for the expert group (27.3) was higher than that of the advanced beginner (19.5; P = .04) and novice groups (13.6; P = .001). The advanced beginner and novice groups differed in overall scores (P = .03). CONCLUSION: RACE allows evaluation of surgical competence to perform UVA for robot-assisted radical prostatectomy, when using an inanimate model.
OBJECTIVE: To develop and validate an assessment tool for the performance of urethrovesical anastomosis (UVA). METHODS: A multicenter, prospective, observational study was conducted in 2 phases. Phase 1, development and content validation, used a panel of 5 experienced robotic surgeons to develop a 6-domain scoring system, Robotic Anastomosis Competence Evaluation (RACE), to assess technical skills for performing UVA. Phase 2, construct validation and reliability, used 5 blinded experienced robotic surgeons to rate UVA recordings of expert, advanced beginner, and novice groups. Content validation index was determined to report consensus in phase 1. Phase 2 involved comparison of RACE scores among the 3 groups. Wilcoxon rank-sum tests were used to compare RACE scores. RESULTS: Two rounds of Delphi methodology achieved consensus on language and content of RACE. Eight experts, 10 advanced beginners, and 10 novice robotic surgeons participated in the validation study. The overall score for the expert group (27.3) was higher than that of the advanced beginner (19.5; P = .04) and novice groups (13.6; P = .001). The advanced beginner and novice groups differed in overall scores (P = .03). CONCLUSION: RACE allows evaluation of surgical competence to perform UVA for robot-assisted radical prostatectomy, when using an inanimate model.
Authors: Michael I Hanzly; Tareq Al-Tartir; Syed Johar Raza; Atif Khan; Mohammad Manan Durrani; Thomas Fiorica; Phillip Ginsberg; James L Mohler; Boris Kuvshinoff; Khurshid A Guru Journal: Curr Urol Rep Date: 2015-06 Impact factor: 3.092
Authors: Amir Baghdadi; Ahmed A Hussein; Youssef Ahmed; Lora A Cavuoto; Khurshid A Guru Journal: Int J Comput Assist Radiol Surg Date: 2018-11-20 Impact factor: 2.924
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Authors: Balint Der; Daniel Sanford; Ryan Hakim; Erik Vanstrum; Jessica H Nguyen; Andrew J Hung Journal: J Endourol Date: 2020-12-11 Impact factor: 2.619