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dc.contributor.authorChua, Alicia S.en_US
dc.contributor.authorEgorova, Svetlanaen_US
dc.contributor.authorAnderson, Mark C.en_US
dc.contributor.authorPolgar-Turcsanyi, Mariannen_US
dc.contributor.authorChitnis, Tanujaen_US
dc.contributor.authorWeiner, Howard L.en_US
dc.contributor.authorGuttmann, Charles R.G.en_US
dc.contributor.authorBakshi, Rohiten_US
dc.contributor.authorHealy, Brian C.en_US
dc.date.accessioned2015-08-03T14:01:42Z
dc.date.issued2015en_US
dc.identifier.citationChua, Alicia S., Svetlana Egorova, Mark C. Anderson, Mariann Polgar-Turcsanyi, Tanuja Chitnis, Howard L. Weiner, Charles R.G. Guttmann, Rohit Bakshi, and Brian C. Healy. 2015. “Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models.” NeuroImage : Clinical 8 (1): 606-610. doi:10.1016/j.nicl.2015.06.009. http://dx.doi.org/10.1016/j.nicl.2015.06.009.en
dc.identifier.issn2213-1582en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:17820803
dc.description.abstractMagnetic resonance imaging (MRI) of the brain provides important outcome measures in the longitudinal evaluation of disease activity and progression in MS subjects. Two common measures derived from brain MRI scans are the brain parenchymal fraction (BPF) and T2 hyperintense lesion volume (T2LV), and these measures are routinely assessed longitudinally in clinical trials and observational studies. When measuring each outcome longitudinally, observed changes may be potentially confounded by variability in MRI acquisition parameters between scans. In order to accurately model longitudinal change, the acquisition parameters should thus be considered in statistical models. In this paper, several models for including protocol as well as individual MRI acquisition parameters in linear mixed models were compared using a large dataset of 3453 longitudinal MRI scans from 1341 subjects enrolled in the CLIMB study, and model fit indices were compared across the models. The model that best explained the variance in BPF data was a random intercept and random slope with protocol specific residual variance along with the following fixed-effects: baseline age, baseline disease duration, protocol and study time. The model that best explained the variance in T2LV was a random intercept and random slope along with the following fixed-effects: baseline age, baseline disease duration, protocol and study time. In light of these findings, future studies pertaining to BPF and T2LV outcomes should carefully account for the protocol factors within longitudinal models to ensure that the disease trajectory of MS subjects can be assessed more accurately.en
dc.language.isoen_USen
dc.publisherElsevieren
dc.relation.isversionofdoi:10.1016/j.nicl.2015.06.009en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4506959/pdf/en
dash.licenseLAAen_US
dc.subjectMultiple sclerosisen
dc.subjectMRIen
dc.subjectBrain atrophyen
dc.subjectT2 lesionen
dc.subjectMixed-effect modelsen
dc.titleHandling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect modelsen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalNeuroImage : Clinicalen
dash.depositing.authorEgorova, Svetlanaen_US
dc.date.available2015-08-03T14:01:42Z
dc.identifier.doi10.1016/j.nicl.2015.06.009*
dash.contributor.affiliatedEgorova, Svetlana
dash.contributor.affiliatedHealy, Brian
dash.contributor.affiliatedWeiner, Howard
dash.contributor.affiliatedBakshi, Rohit
dash.contributor.affiliatedChitnis, Tanuja
dc.identifier.orcid0000-0003-0203-9681


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