PRE-FRAIL– Decoding and Preventing Frailty After Robotic-assisted Surgery: Investigating Biomarkers Clinical Outcomes, and Functional Decline in Urinary Tract Cancer Patients

Bladder cancer primarily affects older, comorbid, and frail patients, making radical cystectomy a high-risk procedure with potential for major complications. Previous studies using 2D CT analyses have suggested correlations between body composition and postoperative outcomes, but readmissions, a secondary concern, may also place additional strain on healthcare resources.

This study explores whether 3D AI-based analysis of preoperative CT scans can use body composition (CTBC) parameters to predict patients at higher risk of complications or readmission in patients undergoing robotic-assisted radical cystectomy at Aalborg UH in 2020-2025.