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Updated: Sep 10, 2025

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
Published on: March 21, 2021
Impact of Preoperative CT-Diagnosed Sarcopenic Obesity on Outcomes After Radical Cystectomy for Bladder Cancer
Alberto Artiles Medina1, Mariam Bajawi Carretero2, Enrique López Pérez1
1Urology Department, Ramón y Cajal University Hospital, University of Alcalá, 28034 Madrid, Spain.
Objective:
To evaluate the impact of body composition parameters, including specifically sarcopenic obesity (SO), on postoperative and oncological outcomes in patients undergoing radical cystectomy (RC) for bladder cancer, thereby addressing a paucity of data in this setting.
Methods:
A retrospective observational study was conducted in patients who underwent RC. Preoperative CT scans were analyzed using semi-automatic segmentation software to assess body composition parameters, with measurements of adipose and muscle tissue obtained at the level of the L3 vertebra.
Results:
A total of 249 patients were included, of whom 127 (52.5%) met the criteria for sarcopenia, 53 (21.3%) for obesity, and 14 (5.6%) for SO. Multivariate analysis identified previous abdominal surgery (OR 2.56, 95% CI 1.24-5.23, p = 0.011), total serum protein level (OR 0.57, 95% CI 0.36-0.88, p = 0.013), and SO (OR 7.01, 95% CI 1.06-37.05, p = 0.045) as independent predictors of 90-day postoperative complications. Patients with SO experienced significantly higher rates of abdominal wall complications (p = 0.03). However, in multivariate analyses, SO was not associated with overall survival (despite a p value of 0.04 at univariate analysis), cancer-specific survival, or progression-free survival.
Conclusions:
Preoperative CT-based assessment of body composition is a valuable tool in the surgical evaluation of patients undergoing RC. SO appears to be an independent predictor of short-term postoperative complications and should be considered when planning prehabilitation strategies.

