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Minerva Chirurgica 2020 Nov 09

DOI: 10.23736/S0026-4733.20.08491-6

Copyright © 2020 EDIZIONI MINERVA MEDICA

language: English

Does the learning curve in robotic rectal cancer surgery impact circumferential resection margin involvement and reoperation rates? A risk-adjusted cumulative sum analysis

Mahir GACHABAYOV 1, Tomohiro YAMAGUCHI 2, Seon-Hahn KIM 3, Rosa JIMENEZ-RODRIGUEZ 4, Li-Jen KUO 5, Mirkhalig JAVADOV 1, Roberto BERGAMASCHI 1

1 Section of Colorectal Surgery, Department of Surgery, Westchester Medical Center, New York Medical College, Valhalla, NY, USA; 2 Division of Colon and Rectal Surgery, Shizuoka Cancer Center Hospital, Shizuoka, Japan; 3 Division of Colon and Rectal Surgery, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, Seoul, South Korea; 4 Section of Colorectal Surgery, Hospital Universitario Virgen del Rocio, Sevilla, Spain; 5 Division of Colorectal Surgery, Department of Surgery, Taipei Medical University Hospital, Taipei, Taiwan


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BACKGROUND: The aim of this study was to evaluate the impact of surgeons’ learning curve in robotic surgery for rectal cancer on circumferential resection margin (CRM) involvement and reoperation rates.
METHODS: Learning curve data were prospectively collected from four centers. Patients undergoing robotic proctectomy for resectable rectal cancer were included. CRM was involved when ≥1 mm. TME quality was classified as complete, nearly complete, or incomplete. T-test and Chi-square tests were used to compare continuous and categorical variables, respectively. Risk-adjusted cumulative sum (RA-CUSUM) analysis was utilized to evaluate the effect of the learning curve on primary endpoints. Univariate analysis of potential risk factors for CRM involvement and reoperation was performed. Factors with the p-value ≤0.2 were included in the multivariate logistic regression model for further RA-CUSUM analysis.
RESULTS: A total of 221 patients (80, 36, 62, and 43 patients operated on by surgeons 1, 2, 3, and 4, respectively) who underwent robotic surgery for rectal cancer during the surgeons’ learning curves were included. CRM involvement rate was 0%, 11%, 3%, and 5% in surgeons 1, 2, 3, and 4, respectively. Reoperation rate was 3.7%, 8.3%, 4.8%, and 11.6%, respectively. RA-CUSUM analysis of CRM involvement (R2=0.9886) and reoperation (R2=0.9891) found a statistically significant decreasing trend in aggregate CUSUM values throughout the learning curve.
CONCLUSIONS: This study found a continued significant decrease in CRM involvement and reoperation rates throughout the learning curve in robotic rectal cancer surgery.


KEY WORDS: Robotic surgery; Rectal cancer; Learning curve; Total mesorectal excision; Circumferential resection margin

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