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Background Surgical risk stratification includes demographic factors such as age, body mass index (BMI), and comorbidities. However, the use of BMI is limited in differentiating patients with diabetes mellitus. This study explores the utilization of CTbased images for analytic morphomics to describe body composition differences among patient with and without Type II diabetes mellitus. Measures of abdominal fat, body habitus, and skeletal muscle size were studied as potential descriptors of diabetes status. Materials and Methods This is a retrospective study of trauma patients at the University of Michigan between 2000 and 2013 using CT scans and associated clinical profiles. Visceral anterior body depth (VABD) and lean psoas area (LPA) were measured at the L4 level using established analytic morphomic techniques. patients were stratified by gender and BMI weight categories: normal weight (BMI < 25), overweight (25 ≤ bMI < 30), and obese (bMI ≥ 30). Morphomic measurements were compared within weight categories and multivariate modeling was conducted to determine associations with diabetes. Results Male diabetics consistently had significantly greater VAbD and smaller LPA compared to nondiabetics within the same weight category, and VABD and LPA increased as weight category increased. Female diabetics had greater VABD and smaller LPA than nondiabetics within the same weight category, but LPA did not vary significantly among weight categories. In multivariate analysis, VABD, LPA, LPAage interaction, renal failure, obesity, coronary artery disease, and hypertension were significant

Analytic Morphomics Describes Body Composition Associated With Diabetes