Literature DB >> 28568650

Robotic proctectomy for rectal cancer: analysis of 71 patients from a single institution.

Philip M Spanheimer1, John G Armstrong1, Sunyang Fu1, Junlin Liao1, Scott E Regenbogen2, John C Byrn1.   

Abstract

BACKGROUND: Despite increasing use of robotic surgery for rectal cancer, few series have been published from the practice of generalizable US surgeons.
METHODS: A retrospective chart review was performed for 71 consecutive patients who underwent robotic low anterior resection (LAR) or abdominoperineal resection (APR) for rectal adenocarcinoma between 2010 and 2014.
RESULTS: 46 LARs (65%) and 25 APRs (35%) were identified. Median procedure time was 219 minutes (IQR 184-275) and mean blood loss 164.9 cc (SD 155.9 cc). Radial margin was negative in 70/71 (99%) patients. Total mesorectal excision integrity was complete/near complete in 38/39 (97%) of graded specimens. A mean of 16.8 (SD+/- 8.9) lymph nodes were retrieved. At median follow-up of 21.9 months, there were no local recurrences.
CONCLUSIONS: Robotic proctectomy for rectal cancer was introduced into typical colorectal surgery practice by a single surgeon, with a low conversion rate, low complication rate, and satisfactory oncologic outcomes.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  proctectomy; rectal cancer; robotic

Mesh:

Year:  2017        PMID: 28568650     DOI: 10.1002/rcs.1841

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  4 in total

1.  Comparing pathologic outcomes for robotic versus laparoscopic Surgery in rectal cancer resection: a propensity adjusted analysis of 7616 patients.

Authors:  M Benjamin Hopkins; Timothy M Geiger; Alva J Bethurum; Molly M Ford; Roberta L Muldoon; David E Beck; Thomas G Stewart; Alexander T Hawkins
Journal:  Surg Endosc       Date:  2019-07-25       Impact factor: 4.584

2.  Assessing the role of robotic proctectomy in obese patients: a contemporary NSQIP analysis.

Authors:  Alexa C Glencer; Joseph A Lin; Karen Trang; Anya Greenberg; Kimberly S Kirkwood; Mohamed Abdelgadir Adam; Ankit Sarin
Journal:  J Robot Surg       Date:  2022-02-11

Review 3.  Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient's Stratification.

Authors:  Octav Ginghina; Ariana Hudita; Marius Zamfir; Andrada Spanu; Mara Mardare; Irina Bondoc; Laura Buburuzan; Sergiu Emil Georgescu; Marieta Costache; Carolina Negrei; Cornelia Nitipir; Bianca Galateanu
Journal:  Front Oncol       Date:  2022-03-08       Impact factor: 6.244

Review 4.  Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer.

Authors:  Hang Qiu; Shuhan Ding; Jianbo Liu; Liya Wang; Xiaodong Wang
Journal:  Curr Oncol       Date:  2022-03-07       Impact factor: 3.677

  4 in total

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