A radiomics model predicts progression from mild cognitive impairment to alzheimer's disease using structural MRI.

ABSTRACT: The aim of this study is to build and validate a model based on structural magnetic resonance imaging (sMRI) to predict the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD). A total of 343 patients with MCI were selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database as study subjects. Among them, 154 patients progressed to AD during the 48-month follow-up. All subjects were randomly divided into a training set (n = 240) and a validation set (n = 103) in a 7:3 ratio according to enrollment time. The baseline T1-weighted (T1W) structural MR images of each patient were automatically segmented into whole-brain three-dimensional (3D) white and gray matter images based on the training set data. In addition, radiomics signatures were extracted from

SUBMITTER: Li Y 

PROVIDER: S-EPMC12518670 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature