Evidence map›Paper›PMID 40785739›Full record

ArticleWideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques2025

Influence of computed tomography-based pelvimetric parameters and surgical approaches on surgical difficulty in mid‑low rectal cancer.

Jie Wang, Dengyang Fang, Ruiqi Li, Yifan Cheng, Shuai Zhao, Jiajie Zhou, Zhen Tian, Chenkai Zhang, Yayan Fu, Yong Wang and 2 more

Abstract read
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Article in Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Jie WangNorthern Jiangsu People's Hospital Affiliated with Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Dengyang FangNorthern Jiangsu People's Hospital Affiliated with Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Ruiqi LiNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, Jiangsu, China.
Yifan ChengNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, Jiangsu, China.
Shuai ZhaoNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, Jiangsu, China.
Jiajie ZhouNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, Jiangsu, China.
Zhen TianNorthern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, Jiangsu, China.
Chenkai ZhangNorthern Jiangsu People's Hospital Affiliated with Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Yayan FuNorthern Jiangsu People's Hospital Affiliated with Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Yong WangNorthern Jiangsu People's Hospital Affiliated with Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Jun RenNorthern Jiangsu People's Hospital Affiliated with Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Daorong WangNorthern Jiangsu People's Hospital Affiliated with Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite a lack of a well-defined concept of 'pelvic difficulties', pelvimetric parameters significantly influence surgical difficulty and outcomes in mid-low rectal cancer (MLRC).

aimThe objective of this study was to explore the influence of pelvimetric parameters and surgical approaches on the difficulty of surgical procedures in MLRC. MATERIALS AND

methodsA retrospective analysis was performed at the Northern Jiangsu People's Hospital, including patients with a diagnosis of MLRC who underwent total mesorectal excision between January 2016 and June 2023. We analyzed the pelvimetric parameters and perioperative data.

resultsThe study cohort comprised a total of 1138 individuals. Based on the surgical difficulty score, 374 patients were assigned to the difficult surgery (DS) group, and 764, to the non-difficult surgery group. Patients in the DS group were stratified into 2 groups based on the surgical approach: the robot-assisted laparoscopic surgery (RLS) group with 78 patients, and the conventional laparoscopic surgery group, including 296 patients. Multivariable analysis results showed that age, sex, pelvic inlet anteroposterior diameters (PIAPD), pubic symphysis height, pelvic depth, and angle A were independent influencing factors for DS.

conclusionsAge, sex, PIAPD, pubic symphysis height, pelvic depth, and angle A were independent factors influencing DS in MLRC. In the DS group patients, RLS had certain advantages.

Indexed as

laparoscopicmid‑low rectal cancerpelvimetric parametersroboticsurgical difficulty

Identifiers

PMID40785739
PMCPMC12329664

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.