ArticleSurgical laparoscopy, endoscopy & percutaneous techniques2017
Factors Influencing Difficulty of Laparoscopic Abdominoperineal Resection for Ultra-Low Rectal Cancer.
Article in Surgical laparoscopy, endoscopy & percutaneous techniques, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 17 citations in OpenAlex.
- Operative workflow characterization of the Hugo robotic-assisted surgery and da Vinci Multiport systems in left-sided colorectal surgery: a single-institution pilot analysis.Journal of minimally invasive surgery · 2026Article
- Article
- Development and validation of machine learning models and nomograms for predicting the surgical difficulty of laparoscopic resection in rectal cancer.World journal of surgical oncology · 2024Article
- Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer.Frontiers in oncology · 2024Review
- Development of artificial blood loss and duration of excision score to evaluate surgical difficulty of total laparoscopic anterior resection in rectal cancer.Frontiers in oncology · 2023Article
- Increased body mass index is associated with operative difficulty during robot-assisted radical prostatectomy.BJUI compass · 2022Article
- A nomogram predicting the difficulty of laparoscopic surgery for rectal cancer.Surgery today · 2021Article
- Prediction of surgical difficulty in minimally invasive surgery for rectal cancer by use of MRI pelvimetry.BJS open · 2020Article
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeOur current study was conducted to identify patients' anatomic, pathologic, and clinical factors to predict difficulty of performing laparoscopic abdominoperineal resection for ultra-low rectal cancer. MATERIALS AND
methodsRecords of 117 consecutive patients with rectal cancer 2 to 5 cm from the anal verge were retrospectively reviewed. Using univariate and multivariate linear or logistic regression models, standardized operative time and blood loss, as well as postoperative morbidity were utilized as endpoints to screen patients' multiple variables to predict operative difficulty.
resultsMultivariate linear regression analysis showed body mass index (BMI) (estimate=0.07, P=0.0056), interspinous distance (estimate=-0.02, P=0.0011), tumor distance from anal verge (estimate=-0.17, P=0.0355), prior abdominal surgery (estimate=0.51, P=0.0180), preoperative chemoradiotherapy (estimate=0.67, P=0.0146), and concurrent diseases (hypertension and/or diabetes mellitus) (estimate=0.49, P=0.0122) are predictors for standardized operative time. Age (estimate=0.02, P=0.0208) and concurrent diseases (estimate=0.43, P=0.0476) were factors related to standardized blood loss. BMI (estimate=0.15, P=0.0472) was the only predictor for postoperative morbidity based on logistic regression analysis.
conclusionsAge, BMI, interspinous distance, tumor distance from anal verge, prior abdominal surgery, preoperative chemoradiotherapy, and concurrent diseases influence the difficulty of performing laparoscopic abdominoperineal resection for ultra-low rectal cancer. Standardized operative time allows researchers to amass samples by pooling data from all published studies, thus building reliable models to predict operative difficulty for clinical use.
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