Literature DB >> 25212691

Anatomical dimensions using preoperative magnetic resonance imaging: impact on the learning curve of robot-assisted laparoscopic prostatectomy.

Akihisa Yao1, Hideto Iwamoto, Toshihiko Masago, Shuichi Morizane, Masashi Honda, Takehiro Sejima, Atsushi Takenaka.   

Abstract

OBJECTIVE: To evaluate the impact of anatomical dimensions as measured using preoperative magnetic resonance imaging on the outcomes of robot-assisted laparoscopic prostatectomy.
METHODS: We retrospectively reviewed 100 consecutive robot-assisted laparoscopic prostatectomy procedures that were carried out by a single surgeon at the Division of Urology, Department of Surgery, Tottori University Faculty of Medicine, Yonago, Japan. Preoperative clinical data and anatomical measurements, including the calculated prostate volume pelvic cavity index, were determined based on preoperative magnetic resonance imaging, and their effects on console time, estimated blood loss and surgical margin status were compared.
RESULTS: Body mass index, the prostate anteroposterior diameter, and the prostate volume-to-pelvic cavity index ratio were all significantly correlated with console time and estimated blood loss, based on a univariate analysis (P < 0.05). The prostate craniocaudal diameter, prostate transverse diameter and prostate volume also correlated with console time. However, based on the multiple linear regression analysis, only the prostate volume-to-pelvic cavity index ratio was found to be a significant predictor of console time and estimated blood loss. Furthermore, when the 100 total cases were divided into 50 early cases and 50 late cases, the prostate volume-to-pelvic cavity index ratio correlated with console time and estimated blood loss only in the early group, and not in the late group. In contrast, anatomical measurements had no significant effect on surgical margin status.
CONCLUSION: Magnetic resonance imaging can be a valuable adjunct to robot-assisted laparoscopic prostatectomy. Our data show that patients with larger prostates and narrow, deep pelvises might present more difficulty in robot-assisted laparoscopic prostatectomy procedures. However, the present data also show that this problem can be overcome by an experienced operator with improved surgical techniques.
© 2014 The Japanese Urological Association.

Entities:  

Keywords:  learning curve; magnetic resonance imaging; pelvis; prostate cancer; robot-assisted laparoscopic radical prostatectomy

Mesh:

Year:  2014        PMID: 25212691     DOI: 10.1111/iju.12602

Source DB:  PubMed          Journal:  Int J Urol        ISSN: 0919-8172            Impact factor:   3.369


  4 in total

1.  A systematic review of the learning curve in robotic surgery: range and heterogeneity.

Authors:  I Kassite; T Bejan-Angoulvant; H Lardy; A Binet
Journal:  Surg Endosc       Date:  2018-09-28       Impact factor: 4.584

Review 2.  Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review.

Authors:  Nikolaos Grivas; Ioannis Zachos; Georgios Georgiadis; Markos Karavitakis; Vasilis Tzortzis; Charalampos Mamoulakis
Journal:  World J Urol       Date:  2021-09-04       Impact factor: 3.661

3.  The 'prostate-muscle index': a simple pelvic cavity measurement predicting estimated blood loss and console time in robot-assisted radical prostatectomy.

Authors:  Naoki Kimura; Yuta Yamada; Yuta Takeshima; Masafumi Otsuka; Nobuhiko Akamatsu; Yuji Hakozaki; Jimpei Miyakawa; Yusuke Sato; Yoshiyuki Akiyama; Daisuke Yamada; Tetsuya Fujimura; Haruki Kume
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

4.  Increased body mass index is associated with operative difficulty during robot-assisted radical prostatectomy.

Authors:  Daniel D Shapiro; John W Davis; Wendell H Williams; Brian F Chapin; John F Ward; Curtis A Pettaway; Justin R Gregg
Journal:  BJUI Compass       Date:  2021-09-27
  4 in total

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