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A Predictive Model for Anastomotic Complications After Sphincter-Preserving Surgery for Rectal Cancer: Integrating
Chih-Yu Kuo1,2, Chen-Yin Lee3, Ching-Huei Kung4
1Department of Surgery, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan.
Diseases of the Colon and Rectum
|August 14, 2025
Summary
Predicting anastomotic complications after rectal cancer surgery is crucial. Clinical and anatomical factors, including tumor distance and pelvic dimensions, can help identify patients at higher risk.
Area of Science:
- Surgical Oncology
- Gastrointestinal Surgery
- Pelvic Anatomy
Background:
- Rectal cancer surgery is complex due to pelvic anatomy, increasing postoperative complication risks.
- Anastomotic complications are a significant concern following sphincter-preserving rectal cancer surgery.
Purpose of the Study:
- To evaluate the prognostic significance of clinical and anatomical factors in predicting anastomotic complications.
- To develop a predictive model for anastomotic complications after minimally invasive rectal cancer surgery.
Main Methods:
- Retrospective analysis of 527 rectal cancer patients undergoing robotic or laparoscopic total mesorectal excision.
- Multivariate analysis of preoperative clinical parameters and MRI-derived anatomical measurements.
- Development of a predictive model for postoperative anastomotic complications.
Main Results:
- Anastomotic complications occurred in 15.8% of patients.
- Six predictors identified: tumor-to-anal verge distance, interspinous diameter, clinical N stage, angle α, CEA level, and ASA classification.
- The final model showed an AUC of 0.70, with tumor-to-anal verge distance, interspinous diameter, and clinical N stage as top predictors.
Conclusions:
- Clinical variables and pelvimetry are valuable in predicting anastomotic complications after minimally invasive rectal surgery.
- The developed regression model aids preoperative planning and decision-making.
- Limitations include retrospective design, single-institution data, manual measurements, and 2D analysis.
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