期刊
NEUROBIOLOGY OF AGING
卷 36, 期 -, 页码 S81-S90出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2014.04.035
关键词
boundary shift integral; Alzheimer's disease; Clinical trials; MRI; Biomarker
资金
- National Institute for Health Research University College London Hospitals Biomedical Research Centre (NIHR BRC UCLH/UCL High Impact Initiative)
- EPSRC [EP/H046410/1, EP/J020990/1, EP/K005278]
- MRC [MR/J01107X/1]
- NIHR Biomedical Research Unit (Dementia) at UCL
- NIHR BRC UCLH/UCL
- Brain Research Trust
- UCL Leonard Wolfson Experimental Neurology Centre
- Medical Research Council
- ADNI
- Multiple Sclerosis Society of Great Britain
- Nothern Ireland
- Alzheimer's Research UK
- Wolfson Foundation
- Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health) [U01 AG024904]
- National Institute on Aging
- National Institute of Biomedical Imaging and Bioengineering
- Alzheimer's Association
- Alzheimer's Drug Discovery Foundation
- BioClinica, Inc.
- Biogen Idec Inc.
- Bristol-Myers Squibb Company
- Eisai Inc.
- Elan Pharmaceuticals, Inc.
- Eli Lilly and Company
- F. Hoffmann-La Roche Ltd.
- Genentech, Inc.
- GE Healthcare
- Innogenetics, N.V.
- IXICO Ltd.
- Janssen Alzheimer Immunotherapy Research & Development, LLC.
- Johnson & Johnson Pharmaceutical Research & Development LLC.
- Medpace, Inc.
- Merck Co., Inc.
- Meso Scale Diagnostics, LLC.
- NeuroRx Research
- Novartis Pharmaceuticals Corporation
- Pfizer Inc.
- Piramal Imaging
- Servier
- Synarc Inc.
- Takeda Pharmaceutical Company
- Canadian Institutes of Health Research
- NIH [P30 AG010129, K01 AG030514]
- Engineering and Physical Sciences Research Council [EP/H046410/1, EP/J020990/1] Funding Source: researchfish
- National Institute for Health Research [NF-SI-0508-10123, NF-SI-0513-10134] Funding Source: researchfish
- Sparks Charity [09UCL04] Funding Source: researchfish
- NATIONAL INSTITUTE ON AGING [U01AG024904, P30AG010129, K01AG030514] Funding Source: NIH RePORTER
Brain atrophy measured using structural magnetic resonance imaging (MRI) has been widely used as an imaging biomarker for disease diagnosis and tracking of pathologic progression in neurodegenerative diseases. In this work, we present a generalized and extended formulation of the boundary shift integral (gBSI) using probabilistic segmentations to estimate anatomic changes between 2 time points. This method adaptively estimates a non-binary exclusive OR region of interest from probabilistic brain segmentations of the baseline and repeat scans to better localize and capture the brain atrophy. We evaluate the proposed method by comparing the sample size requirements for a hypothetical clinical trial of Alzheimer's disease to that needed for the current implementation of BSI as well as a fuzzy implementation of BSI. The gBSI method results in a modest but reduced sample size, providing increased sensitivity to disease changes through the use of the probabilistic exclusive OR region. (C) 2015 The Authors. Published by Elsevier Inc. All rights reserved.
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