Objective Preoperative Parameters Predict Difficult Pelvic Dissections and Clinical Outcomes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Objective Preoperative Parameters Predict Difficult Pelvic Dissections and Clinical Outcomes

Published:2018-12 Issue: Volume:232 Page:15-25
ISSN:0022-4804
Container-title:Journal of Surgical Research
language:en
Short-container-title:Journal of Surgical Research

Author:

Iqbal Atif^ORCID,Khan Aimal^ORCID,George Thomas J.,Tan Sanda^ORCID,Qiu Peihua^ORCID,Yang Kai,Trevino Jose,Hughes Steven

Publisher

Elsevier BV

Subject

Surgery

Reference23 articles.

1. Bladder function after abdominoperineal resection of the rectum for anorectal cancer urodynamic investigation before and after operation in a consecutive series;Gerstenberg;Ann Surg,1980

2. Anatomy of Denonvilliers' fascia and pelvic nerves, impotence, and implications for the colorectal surgeon;Lindsey;Br J Surg,2000

3. Longer operative time: deterioration of clinical outcomes of laparoscopic colectomy versus open colectomy t al., longer operative time: deterioration of clinical outcomes of laparoscopic colectomy versus open colectomy;Bailey;Dis Colon Rectum,2014

4. Estimating colorectal cancer treatment costs: a pragmatic approach exemplified by health insurance data from Germany;Haug;PLoS One,2014

5. Current technique of laparoscopic total mesorectal excision (TME): an international questionnaire among 368 surgeons;Cheung;Surg Endosc,2009

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Construction of a nomogram model to predict technical difficulty in performing laparoscopic sphincter-preserving radical resection for rectal cancer;World Journal of Gastroenterology;2024-05-14

2. Validation of a pelvic surgery difficulty risk model to predict difficult pelvic dissection and poor outcomes;Surgery;2023-05

3. Establishing Pelvimetry-Based Machine Learning Models to Predict Surgical Difficulty in Laparoscopic Intersphincteric Resection in Patients With Low Rectal Cancer;2023-04-20

4. Establishment of Surgical Difficulty Grading System and Application of MRI-Based Artificial Intelligence to Stratify Difficulty in Laparoscopic Rectal Surgery;Bioengineering;2023-04-12

5. Cross-sectional area of psoas muscle as a predictive marker of anastomotic failure in male rectal cancer patients: Japanese single institutional retrospective observational study;Annals of Coloproctology;2022-10-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3