Prognostic implications of body composition change during primary treatment in patients with ovarian cancer: A retrospective study using an artificial intelligence-based volumetric technique
Gynecologic Oncology May 28, 2021
Kim SI, Yoon S, Kim TM, et al. - Researchers sought to determine how alterations in body composition during primary treatment could alter survival outcomes in patients suffering from epithelial ovarian cancer (EOC). This study involved 208 patients. Experts employed an artificial intelligence-based tool to record volumes of skeletal muscle, visceral fat, and subcutaneous fat automatically at the waist level from pre-treatment and post-treatment computed tomography scans. During primary treatment, there was a significant reduction in BMI as well as waist volumes of skeletal muscle and visceral fat. Significantly worse progression-free survival and overall survival (OS) were evident in patients with BMI loss ≥ 5% vs in those with BMI loss < 5%. Poor prognostic factors for OS, in multivariate analyses, were muscle loss ≥ 10% and visceral fat loss ≥ 20%. In this study, alterations in BMI as well as waist volume of skeletal muscle and visceral fat were shown to be related to survival results in patients suffering from EOC.
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