Prediction of the progression from mild cognitive impairment to Alzheimer's disease using a radiomics-integrated model.

ABSTRACT:

Objective

This study aimed to build and validate a radiomics-integrated model with whole-brain magnetic resonance imaging (MRI) to predict the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD).

Methods

357 patients with MCI were selected from the ADNI database, which is an open-source database for AD with multicentre cooperation, of which 154 progressed to AD during the 48-month follow-up period. Subjects were divided into a training and test group. For each patient, the baseline T₁WI MR images were automatically segmented into white matter, gray matter and cerebrospinal fluid (CSF), and radiomics features were extracted from each tissue. Based on the data from the training group, a radiomics signature was built using logistic regression a

SUBMITTER: Shu ZY 

PROVIDER: S-EPMC8290507 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature