Quantification of Pancreatic Fat as a Predictor of Impaired Glucose Tolerance and Type 2 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.
Authors
- Xueying Zhao (ORCID: https://orcid.org/0000-0003-2598-3915)
- Boyan Xu (ORCID: https://orcid.org/0000-0003-1327-4740)
- Meng Wang (ORCID: https://orcid.org/0000-0001-9678-4855)
- Lujie Li
- Zhi Dong
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0418
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00