Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centre

Background: Minimally invasive surgery in rectal cancer has gained prominence owing to its various advantages in surgical outcomes. Due to rapid adoption of robotics in rectal surgery, we intended to assess the pace in which surgeons gain proficiency using cumulative summation (CUSUM) technique in l...

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Main Authors: S P Somashekhar, Elroy Saldanha, Kalyan Pandey, Rohit Kumar, K R Ashwin
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2023-01-01
Series:Journal of Minimal Access Surgery
Subjects:
Online Access:http://www.journalofmas.com/article.asp?issn=0972-9941;year=2023;volume=19;issue=4;spage=466;epage=472;aulast=Somashekhar
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author S P Somashekhar
Elroy Saldanha
Kalyan Pandey
Rohit Kumar
K R Ashwin
author_facet S P Somashekhar
Elroy Saldanha
Kalyan Pandey
Rohit Kumar
K R Ashwin
author_sort S P Somashekhar
collection DOAJ
description Background: Minimally invasive surgery in rectal cancer has gained prominence owing to its various advantages in surgical outcomes. Due to rapid adoption of robotics in rectal surgery, we intended to assess the pace in which surgeons gain proficiency using cumulative summation (CUSUM) technique in learning curve. Materials and Methods: This was a prospective study of 262 rectal cancer cases who underwent robotic-assisted low anterior resection and abdominoperineal resection (RA-LAR and RA-APR). Parameters considered for the study were console time, docking time, lymph nodal yield, total operative time and post-operative outcomes. We used Manipal technique of port placements and modified centroside docking for the procedure. Results: The mean age of our study was 46.62 ± 5.7 years, the mean body mass index (BMI) was 31.51 ± 3.2 kg/m2. 215 (82.06%) underwent RA-LAR and 47 (17.93%) underwent RA-APR. 2.67% of cases required to open during our initial period. We had three phases of learning curve, initial phase (11th case), plateau phase (29th case) and then phases of mastery (30th case onwards). Our mean total operative time reduced from 5.5 to 3.5 h (210 ± 8.2 min), console time from 4.5 to 2.9 h (174 ± 4.5 min) and docking time from 15 to 9 ± 1 min from 30th case onwards. Conclusion: RA surgeries for rectal cancer have got good oncological and functional outcomes in high BMI, male pelvis and low rectal cancers. Learning curve can be shortened with constant self-auditing of the surgeon and team with each surgeries performed, reviewing the steps and by improving techniques.
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spelling doaj.art-922e11ef79614971a527bd6a101cc80a2024-04-01T12:50:14ZengWolters Kluwer Medknow PublicationsJournal of Minimal Access Surgery0972-99411998-39212023-01-0119446647210.4103/jmas.jmas_114_22Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centreS P SomashekharElroy SaldanhaKalyan PandeyRohit KumarK R AshwinBackground: Minimally invasive surgery in rectal cancer has gained prominence owing to its various advantages in surgical outcomes. Due to rapid adoption of robotics in rectal surgery, we intended to assess the pace in which surgeons gain proficiency using cumulative summation (CUSUM) technique in learning curve. Materials and Methods: This was a prospective study of 262 rectal cancer cases who underwent robotic-assisted low anterior resection and abdominoperineal resection (RA-LAR and RA-APR). Parameters considered for the study were console time, docking time, lymph nodal yield, total operative time and post-operative outcomes. We used Manipal technique of port placements and modified centroside docking for the procedure. Results: The mean age of our study was 46.62 ± 5.7 years, the mean body mass index (BMI) was 31.51 ± 3.2 kg/m2. 215 (82.06%) underwent RA-LAR and 47 (17.93%) underwent RA-APR. 2.67% of cases required to open during our initial period. We had three phases of learning curve, initial phase (11th case), plateau phase (29th case) and then phases of mastery (30th case onwards). Our mean total operative time reduced from 5.5 to 3.5 h (210 ± 8.2 min), console time from 4.5 to 2.9 h (174 ± 4.5 min) and docking time from 15 to 9 ± 1 min from 30th case onwards. Conclusion: RA surgeries for rectal cancer have got good oncological and functional outcomes in high BMI, male pelvis and low rectal cancers. Learning curve can be shortened with constant self-auditing of the surgeon and team with each surgeries performed, reviewing the steps and by improving techniques.http://www.journalofmas.com/article.asp?issn=0972-9941;year=2023;volume=19;issue=4;spage=466;epage=472;aulast=Somashekharconsole timecumulation summation techniquedocking timerobotic-assisted abdominoperineal resectionrobotic-assisted low anterior resectiontotal operative time
spellingShingle S P Somashekhar
Elroy Saldanha
Kalyan Pandey
Rohit Kumar
K R Ashwin
Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centre
Journal of Minimal Access Surgery
console time
cumulation summation technique
docking time
robotic-assisted abdominoperineal resection
robotic-assisted low anterior resection
total operative time
title Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centre
title_full Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centre
title_fullStr Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centre
title_full_unstemmed Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centre
title_short Prospective analysis of impact of learning curve in robotic-assisted rectal surgery in the high-volume Indian tertiary care centre
title_sort prospective analysis of impact of learning curve in robotic assisted rectal surgery in the high volume indian tertiary care centre
topic console time
cumulation summation technique
docking time
robotic-assisted abdominoperineal resection
robotic-assisted low anterior resection
total operative time
url http://www.journalofmas.com/article.asp?issn=0972-9941;year=2023;volume=19;issue=4;spage=466;epage=472;aulast=Somashekhar
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