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An MRI-Based Semiquantitative Index for the Evaluation of Brain Atrophy and Lesions in Alzheimer’s Disease, Mild Cognitive Impairment and Normal AgingChen W.a, g · Song X.a, b · Zhang Y.g · Darvesh S.c, e · Zhang N.a, g · D’Arcy R.C.N.a, d · Black S.f · Rockwood K.b, e
aNational Research Council Canada, Institute for Biodiagnostics (Atlantic), bDivision of Geriatric Medicine, Department of Medicine, cDepartments of Medicine (Neurology) and Anatomy and Neurobiology, and dDepartments of Radiology and Psychology and Neuroscience, Dalhousie University, and eCentre for Health Care of the Elderly, QEII Health Sciences Centre, Halifax, N.S., and fDepartment of Medicine (Neurology) and Heart and Stroke Foundation Centre for Stroke Recovery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ont., Canada; gDepartment of Radiology of the General Hospital, Tianjin Medical University, Tianjin, China Corresponding Author
Xiaowei Song, PhD, MSCS; Kenneth Rockwood, MD, FRCPC
Neuroimaging Research Laboratory, National Research Council Canada
Institute for Biodiagnostics (Atlantic)
Suite 3900, 1796 Summer Street, Halifax, NS B3H 3A7 (Canada)
E-Mail Xiaowei.Song@nrc.ca; Kenneth.Rockwood@dal.ca
Background: This study investigates how T1-weighted MRI can be used to evaluate brain anatomical changes. We investigated these changes in Alzheimer’s disease (AD) and normal aging. Methods: A semiquantitative brain atrophy and lesion index (BALI) was constructed by adapting existing visual rating scales and validated in 3 datasets. Results: The T1- and T2-weighted-imaging-based scores were highly correlated. They were both closely associated with age and with cognitive test scores. Conclusion: The T1-based BALI helps describe brain structural variability in AD, mild cognitive impairment and normal aging.
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