A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy

BJU International
Andrew J HungYan Liu

Abstract

To predict urinary continence recovery after robot-assisted radical prostatectomy (RARP) using a deep learning (DL) model, which was then used to evaluate surgeon's historical patient outcomes. Robotic surgical automated performance metrics (APMs) during RARP, and patient clinicopathological and continence data were captured prospectively from 100 contemporary RARPs. We used a DL model (DeepSurv) to predict postoperative urinary continence. Model features were ranked based on their importance in prediction. We stratified eight surgeons based on the five top-ranked features. The top four surgeons were categorized in 'Group 1/APMs', while the remaining four were categorized in 'Group 2/APMs'. A separate historical cohort of RARPs (January 2015 to August 2016) performed by these two surgeon groups was then used for comparison. Concordance index (C-index) and mean absolute error (MAE) were used to measure the model's prediction performance. Outcomes of historical cases were compared using the Kruskal-Wallis, chi-squared and Fisher's exact tests. Continence was attained in 79 patients (79%) after a median of 126 days. The DL model achieved a C-index of 0.6 and an MAE of 85.9 in predicting continence. APMs were ranked higher by the m...Continue Reading

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Citations

Aug 21, 2019·World Journal of Urology·Erika PalagoniaPaolo Dell'Oglio
Jul 4, 2019·International Journal of Computer Assisted Radiology and Surgery·Aneeq ZiaAnthony Jarc
Dec 14, 2019·Minerva urologica e nefrologica = The Italian journal of urology and nephrology·Enrico CheccucciUNKNOWN Uro-technology and SoMe Working Group of the Young Academic Urologists Working Party of the European Association of Urology
Nov 30, 2019·World Journal of Urology·Iulia AndrasAlexandre Mottrie
Jul 1, 2019·World Journal of Urology·Mitchell G Goldenberg
Feb 27, 2021·Therapeutic Advances in Urology·B M Zeeshan HameedBhavan Prasad Rai
Mar 14, 2021·Current Urology Reports·Runzhuo MaAndrew J Hung
Mar 28, 2021·European Urology Focus·Andrew J HungInderbir S Gill
Nov 22, 2020·The Urologic Clinics of North America·Timothy C ChangJoseph C Liao
Sep 4, 2020·Current Opinion in Urology·Enrico CheccucciUNKNOWN Uro-technology and SoMe Working Group of the Young Academic Urologists Working Party of the European Association of Urology
May 25, 2021·Urologic Oncology·Andrew BrodieNikhil Vasdev
May 29, 2021·World Journal of Urology·Patrick W Doyle, Nicholas L Kavoussi
Jun 29, 2021·Technology in Cancer Research & Treatment·Jihwan ParkJi Youl Lee
Aug 8, 2021·European Urology Focus·Jethro C C KwongGirish S Kulkarni
Sep 16, 2021·JAMA Surgery·Andrew J HungAnimashree Anandkumar
Jul 13, 2021·Artificial Intelligence Review·Chaoran Yu, Ernest Johann Helwig

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