Article
Association Between Aortic Imaging Features and Impaired Glucose Metabolism: A Deep Learning Population Phenotyping Approach.
Academic radiology - 1 May 2025
Rau Alexander, Michel Lea, Reisert Marco, Rospleszcz Susanne, Russe Maximilian F, Schlesinger Sabrina, Peters Annette, Bamberg Fabian, Schlett Christopher L, Weiss Jakob, Taron Jana
Abstract excerpt
RATIONALE AND OBJECTIVES: Type 2 diabetes is a known risk factor for vascular disease with an impact on the aorta. The aim of this study was to develop a deep learning framework for quantification of aortic phenotypes from magnetic resonance imaging (MRI) and to investigate the association between aortic features and impaired glucose metabolism beyond traditional cardiovascular (CV) risk factors. MATERIALS AND...
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