You have accessJournal of UrologySurgical Technology & Simulation: Training & Skills Assessment II (MP47)1 Apr 2020MP47-09 VERIFICATION OF FORCE SENSOR APPARATUS DATA USING EXPERT GRADING OF A RADICAL PROSTATECTOMY NERVE SPARING SIMULATION Patrick Saba, Rachel Melnyk, Michael Witthaus, Jack Dalton, Shamroz Farooq, Guan Wu, Hani Rashid, Thomas Frye, Jean Joseph, and Ahmed Ghazi* Patrick SabaPatrick Saba More articles by this author , Rachel MelnykRachel Melnyk More articles by this author , Michael WitthausMichael Witthaus More articles by this author , Jack DaltonJack Dalton More articles by this author , Shamroz FarooqShamroz Farooq More articles by this author , Guan WuGuan Wu More articles by this author , Hani RashidHani Rashid More articles by this author , Thomas FryeThomas Frye More articles by this author , Jean JosephJean Joseph More articles by this author , and Ahmed Ghazi*Ahmed Ghazi* More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000902.09AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: A necessary aspect of radical prostatectomy nerve sparing (NS-RARP) includes minimal traction to the neurovascular bundle (NVB) during dissection to limit postoperative neuropraxia. Current simulation platforms for NS-RARP lack the measurement of various insults during NVB dissection. We sought to verify the accuracy of force sensors incorporated into the NVB of a hydrogel based NS-RARP simulation compared to expert ratings. METHODS: Anatomically correct hydrogel models containing relevant structures were constructed using 3D-printed injection molds. A calibrated force sensor apparatus (FSA) is incorporated into the NVB that outputs the force applied to the NVB during surgery. The FSA uses an algorithm that looks for major insults characterized by minimum peak prominence over 0.1x standard deviation of the overall force. Five experts (>250 caseload) completed the simulation and FSA data and video recording was collected from the nerve sparing (NS). Each (NS) video was graded by an expert urologist for clinically relevant insults, classified as a compression/tension that would lead to damage of the NVB. Insults marked by the expert were overlaid with the insults identified by the FSA. If insults were marked within 5 seconds of each other, a true positive was recorded (Fig 1). The FSA identified insults and the expert grading was compared using an error matrix to determine the sensitivity, precision, and F1 score. RESULTS: Overall, the FSA returned 239 true positives, 101 false positives, and 97 false negatives. These values returned a sensitivity of 67.73%, and precision of 70.29% indicating that FSA was successful at marking that same insults as the expert and did so without over indication. Additionally, the FSA retuned a F1 score of 0.7071 which is a weighted measurement of precision using the negative results to determine the harmonic mean of the precision and sensitivity. The score supports the efficacy of the FSA. CONCLUSIONS: The FSA provides an accurate, time effective and mass producible metric that removes the need for expert review. The addition of the FSA to the hydrogel NS-RARP simulation provides a standardized metric to measure insults during NS; an advantage not seen in other simulation platforms. Overall, this benefit further bolsters the usefulness of the NS-RARP hydrogel model. Source of Funding: None © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e687-e687 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Patrick Saba More articles by this author Rachel Melnyk More articles by this author Michael Witthaus More articles by this author Jack Dalton More articles by this author Shamroz Farooq More articles by this author Guan Wu More articles by this author Hani Rashid More articles by this author Thomas Frye 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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