Regional changes in brain metabolism during the progression of mild cognitive impairment: a longitudinal study based on radiomics.

ABSTRACT:

Background

This study aimed to establish radiomics models based on positron emission tomography (PET) images to longitudinally predict transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD).

Methods

In our study, 278 MCI patients from the ADNI database were analyzed, where 60 transitioned to AD (pMCI) and 218 remained stable (sMCI) over 48 months. Patients were divided into a training set (n = 222) and a validation set (n = 56). We first employed voxel-based analysis of 18F-FDG PET images to identify brain regions that present significant SUV difference between pMCI and sMCI groups. Radiomic features were extracted from these regions, key features were selected, and predictive models were developed for individual and combined brain regions. The models' e

SUBMITTER: Mu X 

PROVIDER: S-EPMC11214937 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature