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V08-06 VALIDATION OF A FULL-IMMERSION SIMULATION PLATFORM WITH PERFORMANCE METRICS FOR ROBOTIC RADICAL PROSTATECTOMY (RARP) USING THREE-DIMENSIONAL PRINTING AND HYDROGEL MOLDING TECHNOLOGY

The Journal of Urology(2019)

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You have accessJournal of UrologyRenal and Prostate II: Techniques (V08)1 Apr 2019V08-06 VALIDATION OF A FULL-IMMERSION SIMULATION PLATFORM WITH PERFORMANCE METRICS FOR ROBOTIC RADICAL PROSTATECTOMY (RARP) USING THREE-DIMENSIONAL PRINTING AND HYDROGEL MOLDING TECHNOLOGY Michael Witthaus*, Timothy Campbell, Rachel Melnyk, Erin Coppola, Shamrooz Farooq, Katherine Cameron, Tyler Holler, Ashkan Ertefaie, Thomas Frye, Hani Rashid, Guan Wu, Jean Joseph, and Ahmed Ghazi Michael Witthaus*Michael Witthaus* More articles by this author , Timothy CampbellTimothy Campbell More articles by this author , Rachel MelnykRachel Melnyk More articles by this author , Erin CoppolaErin Coppola More articles by this author , Shamrooz FarooqShamrooz Farooq More articles by this author , Katherine CameronKatherine Cameron More articles by this author , Tyler HollerTyler Holler More articles by this author , Ashkan ErtefaieAshkan Ertefaie More articles by this author , Thomas FryeThomas Frye More articles by this author , Hani RashidHani Rashid More articles by this author , Guan WuGuan Wu More articles by this author , Jean JosephJean Joseph More articles by this author , and Ahmed GhaziAhmed Ghazi More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000556786.82057.cfAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Surgical education is dependent on live patients for operative exposure and cultivation of surgical technique. Robotic assisted radical prostatectomy is a unique surgery requiring both oncologic and functional outcomes for success. The steep learning curve of nerve-sparing prostatectomy provides a significant need for surgical education outside of the live patient operative room exposure. In our study, we validate a high-fidelity, inanimate robotic assisted nerve-sparing prostatectomy model within a full-immersion simulation environment using Clinically-relevant Performance Metrics (CRPMs). METHODS: Anatomically accurate models of the human pelvis, bladder, prostate, urethra, neurovascular bundle (NVB) and relevant adjacent structures were created form a patients MRI using polyvinyl alcohol (PVA) hydrogels and three-dimensional-printed injection molds. Pertinent steps of the nerve-sparing prostatectomy were simulated: bladder neck dissection, seminal vesicle mobilization, nerve-sparing prostatectomy and urethra-vesical anastomosis. Five experts (>500 caseload) and 10 novices were (<50 caseload) completed the simulation. Force trauma applied to the NVB during the dissection was quantified by a novel tension wire sensor system within the NVB. Adequacy of the anastomosis was quantified by a 180cc leak test. The validated objective GEARS scores and RACE score were calculated by 2 blinded surgeons and correlated to forces applied to the NVB and UVA leakage respectively. After resection, margin status was measured grossly and microscopically by prostatic fluorescent dye within each prostatic mold. Robotic Anastomosis Competency Evaluation (RACE) was performed and all anastomosis were leak tested. RESULTS: Experts achieved faster task specific times: bladder neck dissection (p= 0.003), nerve sparing (p= 0.007) and VUA (p= 0.002). Experts continued to have superior margins (p= 0.011) and VUAs were without leak (p=0.02). Nerve forces applied were significantly lower for experts in maximum force (p=0.011), average force (p=0.011), peak frequency and total energy (p=0.003). Higher force sensitivity (Subcategory of GEARS Score) and Total GEARS Score correlated with lower nerve forces applied with total energy (J) -0.66(0.019) and -0.87(0.000), respectively. VUA leak rate was correlated with RACE score -0.86 (0.000), which was significantly different between novices and experts (p=0.003). CONCLUSIONS: This high-fidelity simulation model for Robot Assisted Radical Prostatectomy, incorporating CRPMs that co-relate with validated objective metrics presents a valid training tool for robotic surgery. Source of Funding: none Rochester, NY© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e849-e850 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Michael Witthaus* More articles by this author Timothy Campbell More articles by this author Rachel Melnyk More articles by this author Erin Coppola More articles by this author Shamrooz Farooq More articles by this author Katherine Cameron More articles by this author Tyler Holler More articles by this author Ashkan Ertefaie More articles by this author Thomas Frye More articles by this author Hani Rashid More articles by this author Guan Wu More articles by this author Jean Joseph More articles by this author Ahmed Ghazi More articles by this author Expand All Advertisement PDF downloadLoading ...
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关键词
robotic radical prostatectomy,radical prostatectomy,rarp,full-immersion,three-dimensional
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