| Quantitative approaches for assessment of white matter hyperintensities in elderly populations. | |
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MedLine Citation:
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PMID: 21680159 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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White matter hyperintensities (WMH) are areas of increased signal on T2-weighted magnetic resonance imaging (MRI), including fluid attenuated inverse recovery sequences. Total and regional WMH burden (i.e., volume or severity) has been associated with myriad cognitive, neurological, and psychiatric conditions among older adults. In the current report, we illustrate two approaches to quantify periventricular, deep, and total WMH and examine their reliability and criterion validity among 28 elderly patients enrolled in a depression treatment trial. The first approach, an operator-driven quantitative approach, involves visual inspection of individual MRI scans and manual labeling using a three-step series of procedures. The second approach, a fully automated quantitative approach, uses a processing stream that involves image segmentation, voxel intensity thresholding, and seed growing to label WMH and calculate their volume automatically. There was good agreement in WMH quantification between the two approaches (Cronbach's alpha values from 0.835 to 0.968). Further, severity of WMH was significantly associated with worse depression and increased age, and these associations did not differ significantly between the two quantification approaches. We provide evidence for good reliability and criterion validity for two approaches for WMH volume determination. The operator-driven approach may be better suited for smaller studies with highly trained raters, whereas the fully automated quantitative approach may be more appropriate for larger, high-throughput studies. |
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Authors:
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Adam M Brickman; Joel R Sneed; Frank A Provenzano; Ernst Garcon; Lauren Johnert; Jordan Muraskin; Lok-Kin Yeung; Molly E Zimmerman; Steven P Roose |
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Publication Detail:
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Type: Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural Date: 2011-06-16 |
Journal Detail:
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Title: Psychiatry research Volume: 193 ISSN: 0165-1781 ISO Abbreviation: Psychiatry Res Publication Date: 2011 Aug |
Date Detail:
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Created Date: 2011-07-04 Completed Date: 2011-08-23 Revised Date: 2011-09-26 |
Medline Journal Info:
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Nlm Unique ID: 7911385 Medline TA: Psychiatry Res Country: Ireland |
Other Details:
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Languages: eng Pagination: 101-6 Citation Subset: IM |
Copyright Information:
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Copyright © 2011 Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA. amb2139@columbia.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Aged Aged, 80 and over Aging / drug effects, pathology* Antidepressive Agents / pharmacology, therapeutic use Automatic Data Processing Brain / drug effects, pathology* Brain Mapping* Depression / drug therapy, pathology Double-Blind Method Female Humans Image Processing, Computer-Assisted / methods Magnetic Resonance Imaging / methods Male Middle Aged Nerve Fibers, Myelinated / drug effects, pathology* Nortriptyline / pharmacology, therapeutic use Psychiatric Status Rating Scales Sertraline / pharmacology, therapeutic use |
| Grant Support | |
ID/Acronym/Agency:
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F32 AG024708-02/AG/NIA NIH HHS; K23 AG029949/AG/NIA NIH HHS; K23 AG029949-05/AG/NIA NIH HHS; K23 MH70056/MH/NIMH NIH HHS; R01 AG034189/AG/NIA NIH HHS; R01 AG034189-01A1/AG/NIA NIH HHS; R01 AG034189-02/AG/NIA NIH HHS; R01 AG034189-03/AG/NIA NIH HHS; R01 MH55716/MH/NIMH NIH HHS; T32 MH20004/MH/NIMH NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Antidepressive Agents; 72-69-5/Nortriptyline; 79617-96-2/Sertraline |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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