Can T1-Weighted Magnetic Resonance Imaging Significantly Improve Mini-Mental State Examination-Based Distinguishing Between Mild Cognitive Impairment and Early-Stage Alzheimer's Disease?

ABSTRACT:

Background

Detecting early-stage Alzheimer's disease (AD) is still problematic in clinical practice. This work aimed to find T1-weighted MRI-based markers for AD and mild cognitive impairment (MCI) to improve the screening process.

Objective

Our assumption was to build a screening model that would be accessible and easy to use for physicians in their daily clinical routine.

Methods

The multinomial logistic regression was used to detect status: AD, MCI, and normal control (NC) combined with the Bayesian information criterion for model selection. Several T1-weighted MRI-based radiomic features were considered explanatory variables in the prediction model.

Results

The best radiomic predictor was the relative brain volume. The proposed method confirmed its quality

SUBMITTER: Marcisz A 

PROVIDER: S-EPMC10116132 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature