Body composition analysis holds considerable promise in clinical prognostication. For example, sarcopenia (particularly sarcopenic obesity) is associated with poor outcomes in cancer patients. To date, most clinical studies using body composition analysis have used data derived from volumetric CT; however, whole-body MRI (WB-MRI) is increasingly used in cancer staging and analysis of these MRI data could be an alternative means to calculate body composition. In this study, we describe and validate a simple, practical tool for quantification of body fat and skeletal muscle from WB-MRI and demonstrate its application to two cohorts of patients with lung and colon cancer.
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