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MRI assessment of whole-brain structural changes in aging
Hui Guo1,2, William Siu1,3, Ryan Cn D'Arcy1,4
1Health Sciences and Innovation, ImageTech Laboratory, Fraser Health Authority, Surrey, BC, Canada.
Clinical Interventions in Aging
|August 30, 2017
Summary
The Brain Atrophy and Lesion Index (BALI) effectively assesses age-related brain changes using MRI. Combining multiple MRI sequences enhances the detection of various brain lesions for better diagnosis.
Area of Science:
- Neuroimaging
- Gerontology
- Radiology
Background:
- Brain aging involves heterogeneous structural changes with clinical implications.
- These changes impact brain health independently and additively.
- Magnetic Resonance Imaging (MRI) visualizes many age-related brain alterations.
Purpose of the Study:
- To validate the MRI-based Brain Atrophy and Lesion Index (BALI) for assessing whole-brain structural changes.
- To evaluate the BALI approach using clinical MRI examinations from diverse cohorts.
Main Methods:
- Utilized data from three independent studies: ADNI Phase II, NACC, and Tianjin Medical University General Hospital.
- Analyzed 3.0-Tesla MRI scans (T1WI, T2WI, T2-FLAIR, T2*GRE) using the BALI rating scheme.
- Included a total of 1842 participants with varying ages and cognitive statuses.
Main Results:
- BALI scores across different MRI sequences demonstrated high correlations (r² > 0.69).
- BALI scores correlated significantly with age (r² > 0.29) and differed by cognitive status (χ² > 26.48).
- T2-FLAIR excelled in detecting white matter lesions, while T2WI identified perivascular spaces, and T2*GRE detected microhemorrhages.
Conclusions:
- T1WI and T2WI-based BALI evaluations reliably identified age and dementia-related structural brain decline.
- Integrating additional MRI sequences improved lesion differentiation.
- Further research aims to develop BALI into a clinical tool for diagnosing and intervening in brain aging.
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