Magnetic resonance T1w/T2w ratio and voxel-based morphometry in multiple system atrophy.
Aged
Biomarkers
/ analysis
Brain
/ diagnostic imaging
Female
Gray Matter
/ pathology
Humans
Image Processing, Computer-Assisted
/ methods
Magnetic Resonance Imaging
/ methods
Magnetic Resonance Spectroscopy
Male
Middle Aged
Multiple System Atrophy
/ diagnostic imaging
Parkinson Disease
/ diagnostic imaging
White Matter
/ pathology
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
04 11 2021
04 11 2021
Historique:
received:
08
07
2021
accepted:
22
10
2021
entrez:
5
11
2021
pubmed:
6
11
2021
medline:
27
1
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34737396
doi: 10.1038/s41598-021-01222-5
pii: 10.1038/s41598-021-01222-5
pmc: PMC8569168
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
21683Informations de copyright
© 2021. The Author(s).
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