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A score based on MRI imaging variables can predict time to moderate progression in mild cognitive impairment:
Elzbieta Jodlowska-Siewert1, Limeng Liu1, Kaifeng Yang1
1Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, 2221 University Avenue SE, Suite 200, Minneapolis, MN, 55414, USA.
Journal of Alzheimer'S Disease : JAD
|August 1, 2026
Summary
A new MRI-based score effectively predicts moderate progression in mild cognitive impairment (MCI). This tool identifies individuals at higher risk for Alzheimer's disease (AD), enabling timely interventions.
Area of Science:
- Neuroimaging
- Biomarkers
- Gerontology
Background:
- Mild cognitive impairment (MCI) represents a transitional phase between normal aging and Alzheimer's disease (AD).
- Early identification of MCI progression is crucial for potential therapeutic interventions, as no cure for AD currently exists.
Purpose of the Study:
- To evaluate a predictive score derived from clustered MRI and lipidomic variables for forecasting time to moderate progression in MCI patients.
- To assess the efficacy of multi-source data integration in identifying individuals at elevated risk for AD.
Main Methods:
- Analysis of MRI and lipidomics data from 480 individuals diagnosed with MCI.
- Definition of moderate progression using a Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) increase of ≥2.5 points.
- Application of multi-source data integration and clustering techniques to develop predictive scores.
Main Results:
- The MRI-based score demonstrated superior predictive performance (c-index: 0.754) compared to the lipidomics score (c-index: 0.666).
- Each one-unit increase in the MRI score correlated with a 13% heightened risk of moderate progression.
- Individuals within the highest quartile of MRI scores exhibited a threefold increased risk of cognitive decline.
Conclusions:
- An MRI-derived score provides a straightforward and potent method for predicting moderate MCI progression.
- This imaging-based score can effectively identify individuals with MCI who are at high risk for developing Alzheimer's disease.
