Learning robotic pyeloplasty without simulators: an assessment of the learning curve in the early robotic era

Authors

  • Mario F. Chammas Jr Universidade de Sao Paulo, Faculdade de Medicina, Divisao de Urologia https://orcid.org/0000-0002-6365-9940
  • Anuar I. Mitre Universidade de Sao Paulo, Faculdade de Medicina, Divisao de Urologia
  • Marco A. Arap Universidade de Sao Paulo, Faculdade de Medicina, Divisao de Urologia
  • Nicholas Hubert Centre Hospitalier Universitaire de Nancy, Division of Urology
  • Jacques Hubert Centre Hospitalier Universitaire de Nancy, Division of Urology

DOI:

https://doi.org/10.6061/clinics/2019/e777

Keywords:

Robotic-Assisted, Laparoscopy, Ureteropelvic Junction Obstruction, Education, Learning Curve

Abstract

OBJECTIVE: To analyze our experience and learning curve for robotic pyeloplasty during this robotic procedure. METHODS: Ninety-nine patients underwent 100 consecutive procedures. Cases were divided into 4 groups of 25 consecutive procedures to analyze the learning curve. RESULTS: The median anastomosis times were 50.0, 36.8, 34.2 and 29.0 minutes (p=0.137) in the sequential groups, respectively. The median operative times were 144.6, 119.2, 114.5 and 94.6 minutes, with a significant difference between groups 1 and 2 (p=0.015), 1 and 3 (p=0.002), 1 and 4 (po0.001) and 2 and 4 (p=0.022). The mean hospital stay was 7.08, 4.76, 4.88 and 4.20 days, with a difference between groups 1 and 2 (po0.001), 1 and 3 (po0.001) and 1 and 4 (po0.001). Clinical and radiological improvements were observed in 98.9% of patients. One patient presented with recurrent obstruction. CONCLUSIONS: Our results demonstrate a high success rate with low complication rates. A significant decrease in hospital stay and surgical time was evident after 25 cases.

Downloads

Download data is not yet available.

Downloads

Published

2019-06-28

Issue

Section

Original Articles

How to Cite

Learning robotic pyeloplasty without simulators: an assessment of the learning curve in the early robotic era. (2019). Clinics, 74, e777. https://doi.org/10.6061/clinics/2019/e777