Magnetic resonance imaging-based deep learning model to predict multiple firings in double-stapled colorectal anastomosis-Reference-Cited by-同舟云学术

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Magnetic resonance imaging-based deep learning model to predict multiple firings in double-stapled colorectal anastomosis

Published:2023-01-21 Issue:3 Volume:29 Page:536-548
ISSN:1007-9327
Container-title:World Journal of Gastroenterology
language:
Short-container-title:World J Gastroenterol

Author:

Cai Zheng-Hao,Zhang Qun,Fu Zhan-Wei,Fingerhut Abraham,Tan Jing-Wen,Zang Lu,Dong Feng,Li Shu-Chun,Wang Shi-Lin,Ma Jun-Jun

Publisher

Baishideng Publishing Group Inc.

Subject

Gastroenterology,General Medicine

Reference45 articles.

1. Multicenter Analysis of Risk Factors for Anastomotic Leakage After Laparoscopic Rectal Cancer Excision

2. Preoperative, intraoperative and postoperative risk factors for anastomotic leakage after laparoscopic low anterior resection with double stapling technique anastomosis

3. Survival after laparoscopic surgery versus open surgery for colon cancer: long-term outcome of a randomised clinical trial

4. Oncological Outcomes After Anastomotic Leakage After Surgery for Colon or Rectal Cancer

5. Comparison of symptomatic anastomotic leakage following laparoscopic and open low anterior resection for rectal cancer: a propensity score matching analysis of 1014 consecutive patients

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