Quantification of global cerebral atrophy in multiple sclerosis from 3T MRI using SPM: the role of misclassification errors
| Autor: | 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 |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Adult
Male Brain atrophy Multiple Sclerosis segmentation Brain Reproducibility of Results gray matter Image Enhancement Magnetic Resonance Imaging Sensitivity and Specificity lesions Pattern Recognition Automated Imaging Three-Dimensional Image Interpretation Computer-Assisted Humans Female Atrophy Artifacts Algorithms Original Research MRI |
| Zdroj: | Journal of Neuroimaging |
| ISSN: | 1552-6569 |
| Popis: | Purpose 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. Methods 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. Results MS patients had lower GMF and BPF as compared to NC (P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text