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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
[Application of rCBF imaging in PD, AD and OPCA]
1Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha 410008, China.
Objective:
To evaluate the diagnosis and differential diagnosis of rCBF imaging in Parkison's disease (PD), Alzheimer's disease (AD) and olivopontocerebellar atrophy (OPCA).
Methods:
The characteristics of the radioactive distribution of rCBF imaging in PD, AD and OPCA were analyzed, and the laws of the radioactive distribution were identified.
Results:
The sensitivity of rCBF imaging in PD, AD and OPCA was 88.4% (38/43), 95.8% (23/24), and 85.7% (30/35) respectively. The characteristics of the radioactive distribution were that the radioactivity decreased in the cerebral cortex (25/43), basal nuclei (21/43) and thalamus (18/43) in PD, that the radioactivity decreased in the bilateral cerebral cortex (17/24) in AD, that the radioactivity decreased in the cerebral cortex (17/35), cerebellum (14/35), basal nuclei (14/35) and thalamus (10/35) in OPCA.
Conclusion:
rCBF imaging could sensitively diagnose PD, AD and OPCA, and also could differentially diagnose them according to their different characteristics of the radioactive distribution.
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