SynthesisTechniques in coloproctology2020
The role of MRI pelvimetry in predicting technical difficulty and outcomes of open and minimally invasive total mesorectal excision: a systematic review.
Synthesis in Techniques in coloproctology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- A systematic review and meta-analysis of preoperative MRI-based pelvimetry in predicting surgical difficulty in rectal cancer: Implications for personalised surgical planning.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2026Pooled it
- Magnetic resonance imaging-based deep learning model to predict multiple firings in double-stapled colorectal anastomosis.World journal of gastroenterology · 2023Trial
- Evaluation of Nursing Effects of Pelvic Floor Muscle Rehabilitation Exercise on Gastrointestinal Tract Rectal Cancer Patients Receiving Anus-preserving Operation by Intelligent Algorithm-based Magnetic Resonance Imaging.Contrast media & molecular imaging · 2022Trial
- Incremental Predictive Value of Conventional MRI Pelvimetry for Major Low Anterior Resection Syndrome After Rectal Cancer Surgery.Journal of clinical medicine · 2026Article
- Deep Learning-Based Prediction System for Surgical Difficulty in Rectal Cancer Patients Using MRI Pelvimetry.Yonsei medical journal · 2026Article
- Development and validation of a multiparametric magnetic resonance imaging-based nomogram for predicting feasibility of sphincter-preserving surgery in mid-low rectal cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- A Prospective European Trial Comparing Laparotomy, Laparoscopy, Robotic-assisted, and Transanal Total Mesorectal Excision Procedures in High-risk Patients With Rectal Cancer: The RESET Trial.Annals of surgery · 2026Observational
- Robot-assisted hysterectomy for endometrial cancer: is there a correlation between uterine diameters, pelvic volume, and surgical outcomes?Journal of robotic surgery · 2025Article
- Impact of sex differences on risk factors for postoperative complications in transanal endoscopic surgery for rectal cancer: a large-scale Japanese multicenter cohort study.Surgical endoscopy · 2025Article
- Role of pelvimetry in predicting surgical outcomes and morbidity in rectal cancer surgery: A retrospective analysis.World journal of gastrointestinal surgery · 2025Article
- Article
- Deep learning-based pelvimetry in pelvic MRI volumes for pre-operative difficulty assessment of total mesorectal excision.Surgical endoscopy · 2025Article
- Simple pelvimetry predicts the pelvic manipulation time in robot-assisted low and ultra-low anterior resection for rectal cancer.Surgery today · 2024Article
- Article
- Advantages of robotic surgery for rectal cancer compared to laparoscopic surgery: pelvic anatomy and its impact on urinary dysfunction.Journal of robotic surgery · 2024Article
- Construction of a nomogram model to predict technical difficulty in performing laparoscopic sphincter-preserving radical resection for rectal cancer.World journal of gastroenterology · 2024Article
- Sex Disparities in Rectal Cancer Surgery: An In-Depth Analysis of Surgical Approaches and Outcomes.The world journal of men's health · 2024Review
- Accuracy and Reliability of Pelvimetry Measures Obtained by Manual or Automatic Labeling of Three-Dimensional Pelvic Models.Journal of clinical medicine · 2024Article
- Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer.Frontiers in oncology · 2024Review
- Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe difficulty of performing total mesorectal excision (TME) for rectal cancer partly relies on the surgeon's subjective assessment of the individual patient's pelvic anatomy and tumour characteristics, which generally influences the choice of platform used (open, laparoscopic, robotic or trans-anal surgery). Recent studies have found associations between several anatomical pelvic measurements and surgical difficulty. The aim of this study was to systematically review existing data reporting the use of magnetic resonance imaging (MRI)-based pelvic measurements to predict technical difficulty and outcomes of TME, and determine whether pelvimetry could optimise patient-specific selection of a particular surgical approach.
methodsMEDLINE, Embase and Cochrane Library databases were systematically searched for studies reporting MRI-based pelvic measurements in patients undergoing surgery for rectal cancer, and the effect of these measurements on surgical difficulty.
resultsEleven studies reporting the association between MRI-pelvimetry measurements and rectal cancer surgical outcomes were included. Indicators for surgical difficulty used in the included studies were involved circumferential resection margin, longer operative time, incomplete TME, higher blood loss, anastomotic leak, conversion to open surgery and overall complications. Bony pelvic measurements which were associated with increased surgical difficulty in more than one study were a smaller interspinous distance, a smaller intertubercle distance, a smaller pelvic inlet and larger pubic tubercle height. Two studies identified larger mesorectal fat area as a predictor of surgical difficulty.
conclusionsBony pelvic measurements may predict surgical difficulty during TME, however, use of different indicators of difficulty limit comparison between studies. Early data suggest MRI soft tissue measurements may predict surgical difficulty and warrants further investigation.
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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.