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Published in: Journal of Gastrointestinal Surgery 8/2013

01-08-2013 | Original Article

Defining the Learning Curve for Robotic-assisted Esophagogastrectomy

Authors: Jonathan M. Hernandez, Francesca Dimou, Jill Weber, Khaldoun Almhanna, Sarah Hoffe, Ravi Shridhar, Richard Karl, Kenneth Meredith

Published in: Journal of Gastrointestinal Surgery | Issue 8/2013

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Abstract

Introduction

The expansion of robotic-assisted surgery is occurring quickly, though little is generally known about the “learning curve” for the technology with utilization for complex esophageal procedures. The purpose of this study is to define the learning curve for robotic-assisted esophagogastrectomy with respect to operative time, conversion rates, and patient safety.

Methods

We have prospectively followed all patients undergoing robotic-assisted esophagogastrectomy and compared operations performed at our institutions by a single surgeon in successive cohorts of 10 patients. Our measures of proficiency included: operative times, conversion rates, and complications. Statistical analyses were undertaken utilizing Spearman regression analysis and Mann–Whitney U test. Significance was accepted with 95 % confidence.

Results

Fifty-two patients (41 male: 11 female) of mean age 66.2 ± 8.8 years underwent robotic-assisted esophagogastrectomies for malignant esophageal disease. Neoadjuvant chemoradiation was administered to 30 (61 %) patients. A significant reduction in operative times (p <0.005) following completion of 20 procedures was identified (514 ± 106 vs. 397 ± 71.9). No conversions to open thoracotomy were required. Complication rates were low and not significantly different between any 10-patient cohort; however, no complications occurred in the final 10-patient cohort. There were no in-hospital mortalities.

Conclusions

For surgeons proficient in performing minimally-invasive esophagogastrectomies, the learning curve for a robotic-assisted procedure appears to begin near proficiency after 20 cases. Operative complications and conversions were infrequent and unchanged across successive 10-patient cohorts.
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Metadata
Title
Defining the Learning Curve for Robotic-assisted Esophagogastrectomy
Authors
Jonathan M. Hernandez
Francesca Dimou
Jill Weber
Khaldoun Almhanna
Sarah Hoffe
Ravi Shridhar
Richard Karl
Kenneth Meredith
Publication date
01-08-2013
Publisher
Springer US
Published in
Journal of Gastrointestinal Surgery / Issue 8/2013
Print ISSN: 1091-255X
Electronic ISSN: 1873-4626
DOI
https://doi.org/10.1007/s11605-013-2225-2

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