Ontology highlight
ABSTRACT: Objective
To determine if combining PET-derived beta-cell mass (BCM) estimates with MRI-based morphology metrics improves the prediction of beta-cell functional mass in type 2 diabetes (T2D).Methods
We performed a retrospective analysis of 40 participants-19 T2D individuals, 16 healthy obese volunteers (HOVs), and five prediabetes individuals-who underwent [18F]FP-(+)-DTBZ PET to quantify vesicular monoamine transporter type 2 (VMAT2) density [standardized uptake value ratio (SUVR-1)], T1-weighted MRI for 3D morphology metric analysis, and an arginine stimulation test to measure acute (AIRarg) and maximum (AIRargMAX) insulin responses. Least Absolute Shrinkage and Selection Operator (LASSO) regression models identified the optimal combination of positron emission
SUBMITTER: Nejati SF
PROVIDER: S-EPMC12756075 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature