A score based on MRI imaging variables can predict time to moderate progression in mild cognitive impairment: Multimodal data integration study.

Authors

Elzbieta Jodlowska-Siewert, Limeng Liu, Kaifeng Yang, Denis Ostroushko, Pamela L Lutsey, Thierry Chekouo, Sandra E Safo, Alzheimer's Disease Neuroimaging Initiative *

Published in

Journal of Alzheimer's disease : JAD. Pages 13872877261469162. Aug 01, 2026. Epub Aug 01, 2026.

Abstract

BackgroundMild cognitive impairment (MCI) is an intermediate stage between normal aging and Alzheimer's disease (AD). Because there is no treatment for AD, it is vital to establish which patients are at a higher risk of disease progression, and might benefit from early intervention.ObjectiveThis study investigates whether a score based on clusters of MRI and lipidomic variables can predict the time to moderate progression in MCI.MethodsWe analyzed MRI and lipidomics data from 480 individuals with MCI (mean age 72.14 years, range 55-90 years). Moderate progression was defined as a ≥ 2.5-point increase in the Clinical Dementia Rating Scale Sum of Boxes (baseline mean CDR-SB of 1.2, range 0-10 points). Multi-source data integration and clustering methods were used to derive predictive scores.ResultsThe MRI-based score outperformed the lipidomics score (c-index: 0.754 versus 0.666). A 1-unit increase in the MRI score was linked to a 13% higher risk of moderate progression. Individuals in the top 25% of MRI scores had a 3-fold greater risk of decline.ConclusionsAn MRI-based score offers a simple, effective tool to predict moderate MCI progression and identify high-risk individuals for AD.

PMID:
42541425
Bibliographic data and abstract were imported from PubMed on 02 Aug 2026.

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