Background and Purpose
Both diffusion tensor imaging (DTI) and R2* have shown promise in differentiating Parkinson’s disease (PD) from atypical parkinsonism [particularly multiple system atrophy (MSA) and progressive supranuclear palsy (PSP)]. We assessed DTI, R2*, and their combination for differentiating PD, MSA, PSP, and controls.
Materials and Methods
A total of 106 subjects (36 controls, 35 PD, 16 MSA, and 19 PSP) were included. DTI and R2* measures from striatal, midbrain, limbic, and cerebellar regions were obtained and compared between groups. The discrimination performance of DTI and R2* among groups was assessed using elastic-net machine learning and receiver operating characteristic analysis.
Results
Compared to controls, PD patients showed significant R2* differences in the red nucleus. Compared to PD, both MSA and PSP patients showed more widespread changes, extending from the midbrain to striatal and cerebellar structures. The pattern of changes, however, was different between the two groups. For instance, MSA patients showed decreased FA and increased R2* in the subthalamic nucleus, whereas PSP patients showed increased MD in the hippocampus. Combined DTI and R2* were significantly better than DTI or R2* alone in separating controls from PD/MSA-P/PSP, controls from PD, PD from MSA-P/PSP, and PD from MSA-P, but not PD from PSP or MSA-P from PSP.
Conclusion
DTI and R2* provide different but complementary information for different parkinsonisms. Combined DTI and R2* may be a superior marker for PD differential diagnosis.