ArticleBJS open2020
Prediction of surgical difficulty in minimally invasive surgery for rectal cancer by use of MRI pelvimetry.
Article in BJS open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Restorative resection in robot-assisted versus laparoscopic total mesorectal excision: systematic review and meta-analysis.The British journal of surgery · 2026Pooled it
- Association between technical difficulty and patient prognosis after transanal total mesorectal excision for middle and low rectal cancer: a multicenter cohort study.Surgical endoscopy · 2026Article
- Machine learning model for predicting a high comprehensive complication index following rectal cancer surgery.Updates in surgery · 2026Article
- Predicting anatomical difficulty in robot-assisted rectal resection using a novel anatomic landmark-based grading system: a prospective observational study.Techniques in coloproctology · 2026Observational
- Interpretable machine learning model for predicting operative difficulty in robotic total mesorectal excision for mid-low rectal cancer.Journal of robotic surgery · 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
- Article
- Phase-specific impact of patient anatomy on rectal cancer surgery: robotic assistance neutralizes dissection difficulty.Journal of robotic surgery · 2026Article
- Developing and external validating a prediction model using machine learning and logistic regression: informing the surgical approach for robotic surgery based on preoperative MRI.Journal of robotic surgery · 2025Article
- Development of a predictive score for prolonged pelvic operation time in robot-assisted low anterior resection: a single-center, retrospective study in Japan.Surgical endoscopy · 2025Article
- Phase-specific learning curves in robot-assisted rectal surgery: implications for surgical training.International journal of colorectal disease · 2025Article
- Influence of computed tomography-based pelvimetric parameters and surgical approaches on surgical difficulty in mid‑low rectal cancer.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2025Article
- Role of pelvimetry in predicting surgical outcomes and morbidity in rectal cancer surgery: A retrospective analysis.World journal of gastrointestinal surgery · 2025Article
- Deep learning-based pelvimetry in pelvic MRI volumes for pre-operative difficulty assessment of total mesorectal excision.Surgical endoscopy · 2025Article
- Review
- Predictive model of the surgical difficulty of robot-assisted total mesorectal excision for rectal cancer: a multicenter, retrospective study.Journal of robotic surgery · 2024Article
- Simple pelvimetry predicts the pelvic manipulation time in robot-assisted low and ultra-low anterior resection for rectal cancer.Surgery today · 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
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTechnical difficulties in rectal surgery are often related to dissection in a limited surgical field. This study investigated the clinical value of MRI pelvimetry in the prediction of surgical difficulty associated with minimally invasive rectal surgery.
methodsPatients with rectal cancer who underwent laparoscopic or robotic total mesorectal excision between 2005 and 2017 were reviewed retrospectively and categorized according to surgical difficulty on the basis of duration of surgery, conversion to an open procedure, use of the transanal approach, postoperative hospital stay, blood loss and postoperative complications. Preoperative clinical and MRI-related parameters were examined to develop a prediction model to estimate the extent of surgical difficulty, and to compare anastomotic leakage rates in the low- and high-grade surgical difficulty groups. Prognosis was investigated by calculating overall and relapse-free survival, and cumulative local and distant recurrence rates.
resultsOf 121 patients analysed, 104 (86·0 per cent) were categorized into the low-grade group and 17 (14·0 per cent) into the high-grade group. Multivariable analysis indicated that high-grade surgical difficulty was associated with a BMI above 25 kg/m
conclusionThis study highlights the impact of clinical variables and MRI pelvimetry in the prediction of surgical difficulty in minimally invasive rectal surgery.
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