Literature DB >> 30689309

Initial learning curve for robot-assisted partial nephrectomy performed by a single experienced robotic surgeon.

Daisuke Motoyama1, Yuto Matsushita1, Hiromitsu Watanabe1, Keita Tamura1, Takahisa Suzuki1, Toshiki Ito1, Takayuki Sugiyama1, Atsushi Otsuka1, Hideaki Miyake1.   

Abstract

INTRODUCTION: The objective of this study was to evaluate the initial learning curve for robot-assisted partial nephrectomy (RAPN) using the da Vinci Xi Surgical System (Intuitive Surgical, Sunnyvale, California).
METHODS: This study included the initial 65 consecutive patients with small renal tumors who had undergone RAPN at our institution. A single trained surgeon with extensive experience in robot-assisted radical prostatectomy, but not in laparoscopic partial nephrectomy, performed RAPN for all patients using the da Vinci Xi. The learning curve was analyzed by examining the perioperative outcomes among five groups each consisting of 13 consecutive patients.
RESULTS: In this series, the median tumor size and R.E.N.A.L. nephrometry score were 23 mm and 7, respectively, and the median console time and warm ischemia time (WIT) were 116 and 15 minutes, respectively. Fifty-eight patients (89.2%) achieved trifecta outcomes, meaning that the ischemic time was ≤25 minutes, there was a negative surgical margin, and no major postoperative complications occurred. Although there were no significant changes in R.E.N.A.L. nephrometry scores over time, increased surgeon experience was significantly associated with a shorter console time and WIT. Drawing logarithmic approximation curves enabled the achievement of a console time ≤150 minutes and WIT ≤20 minutes at the sixth and fourth procedures, respectively. Furthermore, multivariate analysis identified an independent correlation between surgeon experience with WIT, but not with console time.
CONCLUSION: These findings suggest that regardless of a surgeon's prior experience in laparoscopic partial nephrectomy, an experienced robotic surgeon can perform RAPN using the da Vinci Xi with acceptable perioperative outcomes after a small number of procedures.
© 2019 Japan Society for Endoscopic Surgery, Asia Endosurgery Task Force and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  da Vinci Xi; learning curve; robot-assisted partial nephrectomy

Mesh:

Year:  2019        PMID: 30689309     DOI: 10.1111/ases.12683

Source DB:  PubMed          Journal:  Asian J Endosc Surg        ISSN: 1758-5902


  4 in total

1.  Factors influencing warm ischemia time in robot-assisted partial nephrectomy change depending on the surgeon's experience.

Authors:  Kazuyuki Numakura; Mizuki Kobayashi; Atsushi Koizumi; Soki Kashima; Ryohei Yamamoto; Taketoshi Nara; Mitsuru Saito; Shintaro Narita; Takamitsu Inoue; Tomonori Habuchi
Journal:  World J Surg Oncol       Date:  2022-06-15       Impact factor: 3.253

2.  Holographic reconstruction technology used for intraoperative real-time navigation in robot-assisted partial nephrectomy in patients with renal tumors: a single center study.

Authors:  Shaohua Zeng; Yu Zhou; Min Wang; Hui Bao; Yanqun Na; Tiejun Pan
Journal:  Transl Androl Urol       Date:  2021-08

3.  Learning curve in robot-assisted partial nephrectomy: comparison between an expert surgeon and a team in training in single-center experiences.

Authors:  Nicolò Fiorello; Andrea Di Benedetto; Daniele Summonti; Andrea Mogorovich; Carlo Alberto Sepich
Journal:  Cent European J Urol       Date:  2021-12-06

4.  Significant impact of three-dimensional volumetry of perinephric fat on the console time during robot-assisted partial nephrectomy.

Authors:  Daisuke Motoyama; Yuto Matsushita; Hiromitsu Watanabe; Keita Tamura; Toshiki Ito; Takayuki Sugiyama; Atsushi Otsuka; Hideaki Miyake
Journal:  BMC Urol       Date:  2019-12-12       Impact factor: 2.264

  4 in total

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