Title : Diagnostic performance of MRI radiomics for classifcation of alzheimer's disease, mild cognitive impairment, and normal subjects: A systematic review and meta analysis
Abstract:
Background: Alzheimer's disease (AD) is a debilitating neurodegenerative disease. Early diagnosis of AD and its precursor, mild cognitive impairment (MCI), is crucial for timely intervention and management. Radiomics involves extracting quantitative features from medical images and analyzing them using advanced computational algorithms. These characteristics have the potential to serve as biomarkers for disease classifcation, treatment response prediction, and patient stratifcation. Of note, Magnetic resonance imaging (MRI) radiomics showed a promising result for diagnosing and classifying AD, and MCI from normal subjects. Thus, we aimed to systematically evaluate the diagnostic performance of the MRI radiomics for this task.
Methods and materials: A comprehensive search of the current literature was conducted using relevant keywords in PubMed/MEDLINE, Embase, Scopus, and Web of Science databases from inception to August 5, 2023. Original studies discussing the diagnostic performance of MRI radiomics for the classifcation of AD, MCI, and normal subjects were included. Method quality was evaluated with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and the Radiomics Quality Score (RQS) tools.
Results: We identifed 13 studies that met the inclusion criteria, involving a total of 5448 participants. The overall quality of the included studies was moderate to high. The pooled sensitivity and specifcity of MRI radiomics for diferentiating AD from normal subjects were 0.92 (95% CI [0.85; 0.96]) and 0.91 (95% CI [0.85; 0.95]), respectively. The pooled sensitivity and specifcity of MRI radiomics for diferentiating MCI from normal subjects were 0.74 (95% CI [0.60; 0.85]) and 0.79 (95% CI [0.70; 0.86]), respectively. Also, the pooled sensitivity and specifcity of MRI radiomics for diferentiating AD from MCI were 0.73 (95% CI [0.64; 0.80]) and 0.79 (95% CI [0.64; 0.90]), respectively.
Conclusion: MRI radiomics has promising diagnostic performance in diferentiating AD, MCI, and normal subjects. It can potentially serve as a non-invasive and reliable tool for early diagnosis and classifcation of AD and MCI.
Keywords: Alzheimer’s disease, Mild cognitive impairment, Magnetic resonance imaging, Radiomics, Classification.
Audience Take Away Notes:
- MRI radiomics has promising diagnostic performance in diferentiating AD, MCI, and normal subjects.
- MRI radiomics can potentially serve as a non-invasive and reliable tool for early diagnosis and classifcation of AD and MCI.
