Quantification of global cerebral atrophy in multiple sclerosis from 3T MRI using SPM: the role of misclassification errors

Elisa Dell'Oglio; Antonia Ceccarelli; Bonnie I Glanz; Brian C Healy; Shahamat Tauhid; Ashish Arora; Nikila Saravanan; Matthew J Bruha; Alexander V Vartanian; Sheena L Dupuy; Ralph H B Benedict; Rohit Bakshi; Mohit Neema

doi:10.1111/jon.12194

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Quantification of global cerebral atrophy in multiple sclerosis from 3T MRI using SPM: the role of misclassification errors

Journal article

Open access

Peer reviewed

Quantification of global cerebral atrophy in multiple sclerosis from 3T MRI using SPM: the role of misclassification errors

Elisa Dell'Oglio, Antonia Ceccarelli, Bonnie I Glanz, Brian C Healy, Shahamat Tauhid, Ashish Arora, Nikila Saravanan, Matthew J Bruha, Alexander V Vartanian, Sheena L Dupuy, …

Journal of neuroimaging, Vol.25(2), pp.191-199

03/2015

DOI: 10.1111/jon.12194

PMCID: PMC4409073

PMID: 25523616

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Abstract

We tested the validity of a freely available segmentation pipeline to measure compartmental brain volumes from 3T MRI in patients with multiple sclerosis (MS). Our primary focus was methodological to explore the effect of segmentation corrections on the clinical relevance of the output metrics. Three-dimensional T1-weighted images were acquired to compare 61 MS patients to 30 age- and gender-matched normal controls (NC). We also tested the within patient MRI relationship to disability (eg, expanded disability status scale [EDSS] score) and cognition. Statistical parametric mapping v. 8 (SPM8)-derived gray matter (GMF), white matter (WMF), and total brain parenchyma fractions (BPF) were derived before and after correcting errors from T1 hypointense MS lesions and/or ineffective deep GM contouring. MS patients had lower GMF and BPF as compared to NC (P<.05). Cognitively impaired patients had lower BPF than cognitively preserved patients (P<.05). BPF was related to EDSS; BPF and GMF were related to disease duration (all P<.05). Errors caused bias in GMFs and WMFs but had no discernable influence on BPFs or any MRI-clinical associations. We report the validity of a segmentation pipeline for the detection of MS-related brain atrophy with 3T MRI. Longitudinal studies are warranted to extend these results.

Adult

Algorithms

Artifacts

Atrophy - pathology

Brain - pathology

Female

Humans

Image Enhancement - methods

Image Interpretation, Computer-Assisted - methods

Imaging, Three-Dimensional - methods

Magnetic Resonance Imaging - methods

Male

Multiple Sclerosis - pathology

Pattern Recognition, Automated - methods

Reproducibility of Results

Sensitivity and Specificity

Details

Title: Subtitle: Quantification of global cerebral atrophy in multiple sclerosis from 3T MRI using SPM: the role of misclassification errors
Creators: Elisa Dell'Oglio - Brigham and Women's Hospital
Antonia Ceccarelli - Brigham and Women's Hospital
Bonnie I Glanz - Brigham and Women's Hospital
Brian C Healy - Brigham and Women's Hospital
Shahamat Tauhid - Brigham and Women's Hospital
Ashish Arora - Brigham and Women's Hospital
Nikila Saravanan - Brigham and Women's Hospital
Matthew J Bruha - Brigham and Women's Hospital
Alexander V Vartanian - Brigham and Women's Hospital
Sheena L Dupuy - Brigham and Women's Hospital
Ralph H B Benedict - University at Buffalo, State University of New York
Rohit Bakshi - Brigham and Women's Hospital
Mohit Neema - Brigham and Women's Hospital
Resource Type: Journal article
Publication Details: Journal of neuroimaging, Vol.25(2), pp.191-199
DOI: 10.1111/jon.12194
PMID: 25523616
PMCID: PMC4409073
ISSN: 1051-2284
eISSN: 1552-6569
Language: English
Date published: 03/2015
Academic Unit: Psychiatry
Record Identifier: 9984627250102771

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