Original Research Article
Combining Structural Brain Changes Improves the Prediction of Alzheimer’s Disease and Mild Cognitive ImpairmentZhang N.a,c · Song X.a,b · Zhang Y.c
aNational Research Council Canada Institute for Biodiagnostics (Atlantic), and bDivision of Geriatric Medicine, Department of Medicine, Dalhousie University, Halifax, N.S., Canada; cDepartment of Radiology of the General Hospital, Tianjin Medical University, Tianjin, China
Xiaowei Song, PhD
MSCS, Neuroimaging Research Laboratory
National Research Council Canada, Institute for Biodiagnostics (Atlantic)
Suite 3900, 1796 Summer Street
Halifax, NS B3H 3A7 (Canada)
Tel. +1 902 4731 876, E-Mail Xiaowei.Song@nrc.ca
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Background: Several structural brain changes have been associated with Alzheimer’s disease (AD). This study investigated the prediction of AD by combining multiple brain changes with the hallmark medial temporal lobe atrophy (MTA). Methods: High-resolution magnetic resonance imaging (MRI) data of people with mild AD (n = 39), mild cognitive impairment (MCI; n = 82), and of healthy controls (HC; n = 58) were obtained at baseline. Among these people, 26 AD, 53 MCI, and 46 HC subjects had 24-month follow-up MRI scans. Bilateral MTA was evaluated using a medial temporal lobe atrophy scale (MTAS). Common changes in the aging brain were summarized using a brain atrophy and lesion index (BALI). The performance of the MTAS, BALI, and a score combining both, using a logistic regression model, were assessed. Results: The MTAS and BALI scores were closely correlated (r2 > 0.56); each differed between the diagnostic groups. Having an unfavorable MTAS score was associated with an increased risk of MCI-AD conversion (OR = 3.71, p = 0.039), adjusted for age, sex, and education; having an unfavorable BALI score marginally contributed to such risks (OR = 4.08, p = 0.080). Combining MTAS and BALI components resulted in a greater OR (8.99, p = 0.007) and an improved predictive accuracy (75.9%, p = 0.002). Conclusion: Multiple structural changes have an additive effect on AD. The data support potential future roles of combining multiple coexisting structural changes to benefit AD diagnosis, progression monitoring, and/or treatment effect evaluation.
© 2012 S. Karger AG, Basel
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