A novel predictive scoring system for robot-assisted low anterior resection reveals eight preoperative risk factors linked to prolonged pelvic operation time. Analyzing data from 343 patients, factors such as male sex, high BMI, and tumor proximity to the anal verge emerged as critical indicators. This model demonstrates high performance, with an area under the curve of 0.88, and could enhance surgical training and operating room efficiency through improved case selection.
Journal Article by Yao K, Kasai S (…) Kinugasa Y et 7 al. in Surg Endosc
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