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Published, Version of Record (VoR)Open Access (License Unspecified), Open
Journal article
White matter imaging contributes to the multimodal diagnosis of frontotemporal lobar degeneration
Neurology, v 78(22), pp 1761-1768
01 May 2012
PMID: 22592372
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Objective: To evaluate the distribution of white matter (WM) disease in frontotemporal lobar degeneration (FTLD) and Alzheimer disease (AD) and to evaluate the relative usefulness of WM and gray matter (GM) for distinguishing these conditions in vivo.
Methods: Patients were classified as having FTLD (n = 50) or AD (n = 42) using autopsy-validated CSF values of total-tau:beta-amyloid (t-tau: A beta(1-42)) ratios. Patients underwent WM diffusion tensor imaging (DTI) and volumetric MRI of GM. We employed tract-specific analyses of WM fractional anisotropy (FA) and whole-brain GM density analyses. Individual patient classification was performed using receiver operator characteristic (ROC) curves with FA, GM, and a combination of the 2 modalities.
Results: Regional FA and GM were significantly reduced in FTLD and AD relative to healthy seniors. Direct comparisons revealed significantly reduced FA in the corpus callosum in FTLD relative to AD. GM analyses revealed reductions in anterior temporal cortex for FTLD relative to AD, and in posterior cingulate and precuneus for AD relative to FTLD. ROC curves revealed that a multimodal combination of WM and GM provide optimal classification (area under the curve = 0.938), with 87% sensitivity and 83% specificity.
Conclusions: FTLD and AD have significant WM and GM defects. A combination of DTI and volumetric MRI modalities provides a quantitative method for distinguishing FTLD and AD in vivo. Neurology (R) 2012;78:1761-1768
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Details
- Title
- White matter imaging contributes to the multimodal diagnosis of frontotemporal lobar degeneration
- Creators
- C. T. McMillan - University of PennsylvaniaC. Brun - Univ Penn, Dept Radiol, Philadelphia, PA 19104 USAS. Siddiqui - Univ Penn, Dept Radiol, Philadelphia, PA 19104 USAM. Churgin - Univ Penn, Dept Radiol, Philadelphia, PA 19104 USAD. Libon - Drexel Univ, Dept Neurol, Philadelphia, PA 19104 USAP. Yushkevich - Univ Penn, Dept Radiol, Philadelphia, PA 19104 USAH. Zhang - UCL, Dept Comp Sci, London, EnglandA. Boller - Univ Penn, Dept Neurol, Philadelphia, PA 19104 USAJ. Gee - Univ Penn, Dept Radiol, Philadelphia, PA 19104 USAM. Grossman - Univ Penn, Dept Neurol, Philadelphia, PA 19104 USA
- Publication Details
- Neurology, v 78(22), pp 1761-1768
- Publisher
- Lippincott Williams & Wilkins
- Number of pages
- 8
- Grant note
- HD060406; NS044266; AG17586; AG015116; AG032953; NS053488 / National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA F32HD060406 / EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) AG037376; AG027785; NS065347 / Wyncote Foundation R01NS065347 / NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Neurological Disorders & Stroke (NINDS) R01AG015116 / NATIONAL INSTITUTE ON AGING; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000304529600016
- Scopus ID
- 2-s2.0-84863611383
- Other Identifier
- 991019168881004721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Clinical Neurology