Alzheimer's disease: 3-Dimensional MRI texture for prediction of conversion from mild cognitive impairment.

ABSTRACT:

Introduction

Currently, there are no tools that can accurately predict which patients with mild cognitive impairment (MCI) will progress to Alzheimer's disease (AD). Texture analysis uses image processing and statistical methods to identify patterns in voxel intensities that cannot be appreciated by visual inspection. Our main objective was to determine whether MRI texture could be used to predict conversion of MCI to AD.

Methods

A method of 3-dimensional, whole-brain texture analysis was used to compute texture features from T1-weighted MR images. To assess predictive value, texture changes were compared between MCI converters and nonconverters over a 3-year observation period. A predictive model using texture and clinical factors was used to predict conversion of patients

SUBMITTER: Luk CC 

PROVIDER: S-EPMC6240791 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature