Health Effects of Lesion Localization in Multiple Sclerosis: Spatial Registration and Confounding Adjustment

Brain lesion localization in multiple sclerosis (MS) is thought to be associated with the type and severity of adverse health effects. However, several factors hinder statistical analyses of such associations using large MRI datasets: 1) spatial registration algorithms developed for healthy individu...

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Veröffentlicht in:PloS one Jg. 9; H. 9; S. e107263
Hauptverfasser: Eloyan, Ani, Shou, Haochang, Shinohara, Russell T., Sweeney, Elizabeth M., Nebel, Mary Beth, Cuzzocreo, Jennifer L., Calabresi, Peter A., Reich, Daniel S., Lindquist, Martin A., Crainiceanu, Ciprian M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 18.09.2014
Public Library of Science (PLoS)
Schlagworte:
Adult
Aged
Algorithms
Autoimmune diseases
Biology and Life Sciences
Brain
Brain - diagnostic imaging
Brain - pathology
Brain damage
Brain research
Data Interpretation, Statistical
Disability
Epidemiology
Female
Health aspects
Health risks
Humans
Image Interpretation, Computer-Assisted - methods
Image Processing, Computer-Assisted
Lesions
Localization
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medicine
Medicine and Health Sciences
Middle Aged
Multiple sclerosis
Multiple Sclerosis - pathology
Neurological disorders
Neurology
NMR
Nuclear magnetic resonance
Physical Sciences
Population (statistical)
Public health
Radiography
Registration
Regression analysis
Spatial distribution
Statistical analysis
Studies
Young Adult
ISSN:1932-6203, 1932-6203
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Zusammenfassung:Brain lesion localization in multiple sclerosis (MS) is thought to be associated with the type and severity of adverse health effects. However, several factors hinder statistical analyses of such associations using large MRI datasets: 1) spatial registration algorithms developed for healthy individuals may be less effective on diseased brains and lead to different spatial distributions of lesions; 2) interpretation of results requires the careful selection of confounders; and 3) most approaches have focused on voxel-wise regression approaches. In this paper, we evaluated the performance of five registration algorithms and observed that conclusions regarding lesion localization can vary substantially with the choice of registration algorithm. Methods for dealing with confounding factors due to differences in disease duration and local lesion volume are introduced. Voxel-wise regression is then extended by the introduction of a metric that measures the distance between a patient-specific lesion mask and the population prevalence map.
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Competing Interests: The authors have declared that no competing interests exist.
Analyzed the data: AE HS EMS MBN. Contributed reagents/materials/analysis tools: PAC. Wrote the paper: AE CMC DSR MBN. Discussed the analysis and results: RTS DSR MAL CMC HS EMS MBN. Hand-segmented lesions: JLC.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0107263