ArticleJournal of Alzheimer's disease reports
Comparative analysis of PET and multiparametric MRI biomarkers in Alzheimer's disease continuum cohort.
Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Assessing Microstructural and Molecular Brain Changes in Early Cognitive Decline Using Multiparametric 3T Magnetic Resonance Imaging.Neurology international · 2026Article
- Multimodal MRI insights into hippocampal pathological changes across the Alzheimer's disease continuum: advances and challenges.Japanese journal of radiology · 2026Review
- White matter microstructure disruption associated with PET and cognitive impairment in Alzheimer's disease.PloS one · 2026Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Non-invasive biomarkers are key to early Alzheimer's disease (AD) detection. Multiparametric MRI and advanced imaging offer promising, accessible tools for identifying AD-related changes, supporting timely diagnosis and intervention. Objective: To assess how accurately multiparametric MRI biomarkers identify AD using Aβ-PET imaging as the reference, and to evaluate whether MRI metrics in AD-related brain regions can distinguish between Aβ-positive and Aβ-negative subjects across the AD continuum. Methods: In this exploratory retrospective study, 44 subjects aged 50-80 years were classified based on their PET and MRI biomarkers following the NIA-AA 2024 framework. MRI metrics included selected regional brain volumes (T1-weighted), mean diffusivity and fractional anisotropy (DTI-MD, DTI-FA), quantitative susceptibility mapping (QSM), and T1rho imaging. These were compared with amyloid load, and diagnostic performance was assessed using area-under-the-curve (AUC) analysis. Results: 25 subjects were Aβ+ (AD continuum), while 19 were Aβ- (controls). Volumes of the hippocampus, thalamus, amygdala, cingulate, putamen, and corpus callosum and DTI-MD in the hippocampus, corpus callosum, cuneus, and cingulate showed optimal diagnostic performance (AUC ≥ 0.80), with hippocampal volume and hippocampal DTI-MD showing AUCs > 0.90, (both p < 0.05). Combining hippocampal volumetry and hippocampal DTI-MD (AUC = 0.95, p < 0.001) improved diagnostic accuracy by 2.1% compared to using either biomarker alone. LASSO logistic regression analysis showed that amyloid positivity was significantly associated with hippocampal volume (p < 0.001). Conclusions: Hippocampal volumetry and hippocampal DTI-MD may be superior and more sensitive imaging biomarkers for AD. Their combined use could improve diagnostic accuracy and enhance early AD detection.
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