Minimizing the Learning Curve for Robotic-assisted Radical Cystectomy A Single-surgeon, Retrospective, Cohort Study

Overview

Journal Can Urol Assoc J

Specialty Urology

Date 2023 Jul 17

PMID 37458737

Authors

Raees Cassim

Braden Millan

Yanbo Guo

Jennifer Hoogenes

Bobby Shayegan

Affiliations

Soon will be listed here.

Abstract

Introduction: Studies published to date have suggested non-inferiority of robotic-assisted radical cystectomy (RARC) compared to open radical cystectomy (ORC), while few centers in Canada have adopted this approach. Though multifactorial, the learning curve and operative time are often discussed barriers. Herein, we present outcomes from the largest Canadian cohort of RARC performed to date.

Methods: We conducted a retrospective chart review of all patients undergoing RARC by a single surgeon with greater than 1500 robot-assisted radical prostatectomy (RARP) experience at our institution from May 2020 to December 2021. Clinicopathological, intraoperative, and postoperative data, as well as complications in the first 90 days, were collected. Regression analysis was used to determine the relationship between case volume and operative time/lymph node yield.

Results: A total of 31 patients underwent RARC during the study period, 26 of which were male. The median length of stay was six days (Q1-Q3 5-10), while days alive and out of hospital at 90 days were 83 days (Q1-Q3 80-85). Soft tissue margins were positive in 9.6% (3/31) of patients. Median lymph node yield was 17.0 lymph nodes (Q1-Q3 11-23). Median operative time was 241 minutes (Q1-Q3 228-252) in the ileal conduit group and 320 minutes (Q1-Q3 302-337) in the neobladder group. We observed four Clavien-Dindo grade >3 complications. The 90-day readmission rate and mortality rate were 17.2% (5) and 0% (0), respectively. There was no correlation between case volume and any outcome variables.

Conclusions: Previous high-volume experience performing RARP reduces the learning curve for performing RARC, with similar short-term outcomes to high-volume centers.

Citing Articles

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