Development of a machine learning algorithm to predict complications of total laparoscopic anterior resection and natural orifice specimen extraction surgery in rectal cancer-Reference-Cited by-同舟云学术

Development of a machine learning algorithm to predict complications of total laparoscopic anterior resection and natural orifice specimen extraction surgery in rectal cancer

Published:2023-07 Issue:7 Volume:49 Page:1258-1268
ISSN:0748-7983
Container-title:European Journal of Surgical Oncology
language:en
Short-container-title:European Journal of Surgical Oncology

Author:

Wei Ran,Guan Xu,Liu Enrui,Zhang Weiyuan,Lv Jingfang,Huang Haiyang,Zhao Zhixun,Chen Haipeng,Liu Zheng,Jiang Zheng,Wang Xishan

Publisher

Elsevier BV

Subject

Oncology,General Medicine,Surgery

Reference28 articles.

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2. Long-term oncologic outcomes of laparoscopic anterior resections for cancer with natural orifice versus conventional specimen extraction: a case-control study;Chang;Dis Colon Rectum,2020

3. Transvaginal specimen extraction versus conventional minilaparotomy after laparoscopic anterior resection for colorectal cancer: mid-term results of a case-matched study;Kim;Surg Endosc,2014

4. Safety and survival outcomes of transanal natural orifice specimen extraction using prolapsing technique for patients with middle- to low-rectal cancer;Lu;Chinese journal of cancer research = Chung-kuo yen cheng yen chiu,2020

5. Minimally invasive right colectomy with transrectal natural orifice extraction: could this be the next step forward?;Cheng;Tech Coloproctol,2020

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