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Magnetic resonance T1w/T2w ratio and voxel-based morphometry in multiple system atrophy.
- Source :
-
Scientific reports [Sci Rep] 2021 Nov 04; Vol. 11 (1), pp. 21683. Date of Electronic Publication: 2021 Nov 04. - Publication Year :
- 2021
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Abstract
- Diagnosis of multiple system atrophy (MSA) may be improved by using multimodal imaging approaches. We investigated the use of T1-weighted/T2-weighted (T1w/T2w) images ratio combined with voxel-based morphometry to evaluate brain tissue integrity in MSA compared to Parkinson's disease (PD) and healthy controls (HC). Twenty-six patients with MSA, 43 patients with PD and 56 HC were enrolled. Whole brain voxel-based and local regional analyses were performed to evaluate gray and white matter (GM and WM) tissue integrity and mean regional values were used for patients classification using logistic regression. Increased mean regional values of T1w/T2w in bilateral putamen were detected in MSA-P compared to PD and HC. The combined use of regional GM and T1w/T2w values in the right and left putamen showed the highest accuracy in discriminating MSA-P from PD and good accuracy in discriminating MSA from PD and HC. A good accuracy was also found in discriminating MSA from PD and HC by either combining regional GM and T1w/T2w values in the cerebellum or regional WM and T1w/T2w in the cerebellum and brainstem. The T1w/T2w image ratio alone or combined with validated MRI parameters can be further considered as a potential candidate biomarker for differential diagnosis of MSA.<br /> (© 2021. The Author(s).)
- Subjects :
- Aged
Biomarkers analysis
Brain diagnostic imaging
Brain pathology
Female
Gray Matter pathology
Humans
Magnetic Resonance Spectroscopy
Male
Middle Aged
Multiple System Atrophy metabolism
Parkinson Disease diagnostic imaging
Parkinson Disease pathology
White Matter pathology
Image Processing, Computer-Assisted methods
Magnetic Resonance Imaging methods
Multiple System Atrophy diagnostic imaging
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 34737396
- Full Text :
- https://doi.org/10.1038/s41598-021-01222-5