فهرست نشریات علمی دسترسی آزاد ایران

Background and Objectives: Colorectal cancer is a major health problem worldwide, and major complications after rectal cancer surgery seriously affect patient prognosis. This study aimed to investigate the relationship between body composition parameters and major complications after rectal cancer surgery using the CoreSlicer artificial intelligence-based application.   Methods: A retrospective study was conducted on 271 patients who underwent surgery for rectal cancer between January 2014 and December 2018. The study included analyses of muscle and fat tissue areas using the CoreSlicer application with computerized tomography imaging data in the preoperative period. Patients included in the study were compared between two groups: those with and without major complications (III and above) according to the Clavien-Dindo classification. Data were evaluated using the IBM SPSS Statistics 25.0 program. Since the data were non-parametric, groups were compared using the Mann-Whitney U test. A value of P<0.05 was considered statistically significant.   Results: The mean age of the 210 patients included in the study was 63.7 ± 12.46 years, and 60% (126 patients) were male. The major complication rate was 12.9% (27 patients). No significant difference was found between the groups in terms of the right and left psoas muscle and total muscle areas (P=0.393, P=0.442, and P=0.431, respectively). Similarly, subcutaneous and visceral fat tissue areas did not differ in complication development.   Conclusion: No statistical association was found between major complications and body composition parameters. However, the study's findings indicate that muscle functions should also be evaluated instead of muscle volume. It is thought that dynamic monitoring of preoperative muscle loss may improve the prediction of complications.