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Updated: Apr 29, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Usefulness of Diffusion-Weighted MRI for Differentiation between Parkinson's Disease and Parkinson Variant of
Eun Joo Chung1, Eung Gyu Kim1, Jong Seok Bae1
1Departments of Neurology, Inje University College of Medicine, Busan, Korea.
Background And Purpose:
Several studies have reported that diffusion-weighted imaging (DWI) is able to help discriminate a Parkinson variant of multiple system atrophy (MSA-p) from Parkinson's disease (PD) on the basis of the increased regional apparent diffusion coefficient (rADC). We analyzed the usefulness of DWI by using the rADC for differential diagnosis between MSA-p and PD and investigated the correlation between the rADC value and clinical features of MSA-p and PD.
Methods:
Twelve patients with PD and 10 with MSA-p were studied. The rADC value was determined in different brain regions, including the dorsal putamen (DP) and middle cerebellar peduncles (MCP).
Results:
The rADC values of the DP showed a greater increase in MSA-p patients than in PD patients (p=0.03). MSA-p patients also presented increased rADC values of the MCP compared with PD patients (p=0.0001). In particular, the sensitivity, specificity and positive predictive values of the MCP rADC were higher than those of the DP rADC. However, DP and MCP rADC values were not correlated with clinical features in either MSA or PD patients.
Conclusions:
DWI discriminated between PD and MSA-p based on rADC values in DP and MCP. The MCP rADC value, in particular, could better discriminate MSA-p from PD.
Insights
Diffusion-weighted imaging (DWI) effectively distinguishes Parkinson variant of multiple system atrophy (MSA-p) from Parkinson's disease (PD) using regional apparent diffusion coefficient (rADC) values. The middle cerebellar peduncle (MCP) rADC offers superior diagnostic accuracy for differentiating MSA-p from PD.
Area of Science:
- Neuroimaging
- Radiology
- Neurology
Background:
- Parkinsonian symptoms can arise from Parkinson's disease (PD) or Parkinson variant of multiple system atrophy (MSA-p).
- Accurate differential diagnosis is crucial for appropriate patient management and treatment.
- Diffusion-weighted imaging (DWI) shows potential in differentiating these conditions.
Purpose of the Study:
- To evaluate the diagnostic utility of DWI, specifically the regional apparent diffusion coefficient (rADC), in distinguishing MSA-p from PD.
- To investigate the correlation between rADC values and clinical features in both MSA-p and PD patients.
Main Methods:
- A cohort of 12 PD patients and 10 MSA-p patients were included in the study.
- rADC values were measured in specific brain regions: dorsal putamen (DP) and middle cerebellar peduncles (MCP).
- Statistical analysis was performed to compare rADC values between groups and assess correlations with clinical data.
Main Results:
- Significantly higher rADC values were observed in the DP and MCP of MSA-p patients compared to PD patients (p=0.03 for DP, p=0.0001 for MCP).
- The MCP rADC demonstrated higher sensitivity, specificity, and positive predictive value for differentiating MSA-p from PD than the DP rADC.
- No significant correlation was found between rADC values in the DP or MCP and the clinical features of either MSA-p or PD.
Conclusions:
- DWI, utilizing rADC values in the DP and MCP, can effectively discriminate between MSA-p and PD.
- The rADC measurement in the MCP is particularly valuable for enhancing diagnostic accuracy in differentiating MSA-p from PD.
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