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Analysis of multiple sclerosis lesions via spatially varying coefficients
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Ge, Tian, Müller-Lenke, Nicole, Bendfeldt, Kerstin, Nichols, Thomas E. and Johnson, Timothy D. (2014) Analysis of multiple sclerosis lesions via spatially varying coefficients. The Annals of Applied Statistics, Volume 8 (Number 2). pp. 1095-1118. doi:10.1214/14-AOAS718 ISSN 1932-6157.
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Official URL: http://dx.doi.org/10.1214/14-AOAS718
Abstract
Magnetic resonance imaging (MRI) plays a vital role in the scientific investigation and clinical management of multiple sclerosis. Analyses of binary multiple sclerosis lesion maps are typically “mass univariate” and conducted with standard linear models that are ill suited to the binary nature of the data and ignore the spatial dependence between nearby voxels (volume elements). Smoothing the lesion maps does not entirely eliminate the non-Gaussian nature of the data and requires an arbitrary choice of the smoothing parameter. Here we present a Bayesian spatial model to accurately model binary lesion maps and to determine if there is spatial dependence between lesion location and subject specific covariates such as MS subtype, age, gender, disease duration and disease severity measures. We apply our model to binary lesion maps derived from T2-weighted MRI images from 250 multiple sclerosis patients classified into five clinical subtypes, and demonstrate unique modeling and predictive capabilities over existing methods.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
| Journal or Publication Title: | The Annals of Applied Statistics | ||||
| Publisher: | Institute of Mathematical Statistics | ||||
| ISSN: | 1932-6157 | ||||
| Official Date: | 2014 | ||||
| Dates: |
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| Volume: | Volume 8 | ||||
| Number: | Number 2 | ||||
| Page Range: | pp. 1095-1118 | ||||
| DOI: | 10.1214/14-AOAS718 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access |
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