Diagnostic Imaging August 7, 2024
Automated CT-derived assessments may provide stronger stratification of diabetes and cardiometabolic risks than conventional predictive models, according to a new study of over 32,000 adults in Korea.
Automated computed tomography (CT)-derived assessment of the visceral fat index yielded a higher capacity for predicting incident diabetes than predictive models from the American Diabetes Association (ADA) and the Leicester United Kingdom diabetes risk models.
That is one of the findings from a new retrospective study, recently published in Radiology, that examined the use of automated CT-derived markers to predict diabetes and associated cardiometabolic comorbidities. The researchers reviewed data from 32,166 Korean adults (mean age of 45) who underwent health screening with fluorine 18 fluorodeoxyglucose (18F FDG) positron emission tomography/computed tomography (PET/CT), according...
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