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Differentiation between Parkinson's Disease and the Parkinsonian Subtype of Multiple System Atrophy Using the Magnetic Resonance T1w/T2w Ratio in the Middle Cerebellar Peduncle.

Authors :
Wang J
Sugiyama A
Yokota H
Hirano S
Yamamoto T
Yamanaka Y
Araki N
Ito S
Paul F
Kuwabara S
Source :
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2024 Jan 17; Vol. 14 (2). Date of Electronic Publication: 2024 Jan 17.
Publication Year :
2024

Abstract

Multiple system atrophy with predominant parkinsonism (MSA-P) can hardly be distinguished from Parkinson's disease (PD) clinically in the early stages. This study investigated whether a standardized T1-weighted/T2-weighted ratio (sT1w/T2w ratio) can effectively detect degenerative changes in the middle cerebellar peduncle (MCP) associated with MSA-P and PD and evaluated its potential to distinguish between these two diseases. We included 35 patients with MSA-P, 32 patients with PD, and 17 controls. T1w and T2w scans were acquired using a 1.5-T MR system. The MCP sT1w/T2w ratio was analyzed via SPM12 using a region-of-interest approach in a normalized space. The diagnostic performance of the MCP sT1w/T2w ratio was compared between the MSA-P, PD, and controls. Patients with MSA-P had significantly lower MCP sT1w/T2w ratios than patients with PD and controls. Furthermore, MCP sT1w/T2w ratios were lower in patients with PD than in the controls. The MCP sT1w/T2w ratio showed excellent or good accuracy for differentiating MSA-P or PD from the control (area under the curve (AUC) = 0.919 and 0.814, respectively) and substantial power for differentiating MSA-P from PD (AUC = 0.724). Therefore, the MCP sT1w/T2w ratio is sensitive in detecting degenerative changes in the MCP associated with MSA-P and PD and is useful in distinguishing MSA-P from PD.

Details

Language :
English
ISSN :
2075-4418
Volume :
14
Issue :
2
Database :
MEDLINE
Journal :
Diagnostics (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
38248077
Full Text :
https://doi.org/10.3390/diagnostics14020201