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Abstract #0418

Quantification of Pancreatic Fat as a Predictor of Impaired Glucose Tolerance and Type 2 Diabetes

Meng Wang1, Xueying Zhao2, Boyan Xu2, Lujie Li1, and Zhi Dong1
1Department of Radiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, 2MR Research China, GE Healthcare, Beijing, China

Synopsis

Keywords: Pancreas, Pancreas, Fat quantification, Diabetes

Motivation: Pancreatic fat accumulation is critical in the pathogenesis of type 2 diabetes mellitus (T2DM), yet accurate in vivo measurement remains challenging.

Goal(s): To quantify pancreatic fat using the IDEALIQ method and assess its predictive value for impaired glucose tolerance (IGT) and T2DM.

Approach: We employed IDEALIQ to non-invasively measure pancreatic fat volume fraction (PFVF) in T2DM, IGT, and normal glucose tolerance (NGT) groups, correlating the results with clinical metrics.

Results: PFVF was significantly higher in the T2DM group. Logistic regression confirmed PFVF as a strong independent predictor of IGT and T2DM, with an AUC of 0.871, sensitivity of 92.7%, and specificity of 71.7%.

Impact: This study presents a non-invasive method to quantify pancreatic fat, enhancing early detection and risk prediction for impaired glucose tolerance and type 2 diabetes, and offering new insights into pancreatic fat’s role in insulin resistance and diabetes progression.

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