Journal
MOVEMENT DISORDERS
Volume 30, Issue 12, Pages 1692-1695Publisher
WILEY-BLACKWELL
DOI: 10.1002/mds.26411
Keywords
optical coherence tomography; Parkinson's disease; foveal pit; principal component analysis; SBD model
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Funding
- Michael J. Fox Foundation
- Research to Prevent Blindness
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BackgroundOptical coherence tomography offers a potential biomarker tool in Parkinson's disease (PD). A mathematical model quantifying symmetry, breadth, and depth of the fovea was applied. MethodsNintey-six subjects (72 PD and 24 healthy controls) were included in the study. Macular scans of each eye were obtained on two different optical coherence tomography devices: Cirrus and RTVue. ResultsThe variables corresponding to the cardinal gradients of the fovea were the most sensitive indicators of PD for both devices. Principal component analysis distinguished 65% of PD patients from controls on Cirrus, 57% on RTVue. ConclusionParkinson's disease shallows the superior/inferior and to a lesser degree nasal-temporal foveal slope. The symmetry, breadth, and depth model fits optical coherence tomography data derived from two different devices, and it is proposed as a diagnostic tool in PD. (c) 2015 International Parkinson and Movement Disorder Society
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