Optical Coherence Tomography Based Evaluation of Retinal Changes in Parkinson’s Disease
Journal Title: INTERNATIONAL JOURNAL OF SCIENTIFIC STUDY - Year 2017, Vol 5, Issue 5
Abstract
Introduction: Optical coherence tomography (OCT) is a non-invasive imaging technique routinely used to visualize and quantify the layers of the retina. OCT is a non-invasive imaging technique routinely used to visualize and quantify the layers of the retina. It can provide diagnostic information and quantitative data on biological tissues at high resolution of 10 μ. Parkinson’s disease (PD), the second most common neurodegenerative disease, is progressive disorder with selective dopaminergic neuronal loss, mainly in the substantia nigra. Materials and Methods: A total of 30 patients of PD and equal number of age and sex matched controls were subjected to evaluation of retinal changes (peripapillary retinal nerve fiber layer [RNFL] and central macular thickness [CMT]) using Zeiss Cirrus HD-OCT machine. Results: Significant RNFL thinning was seen in patients of PD compared to age and sex matched controls. Marked thinning was seen in superior and temporal quadrants of the right eye (P = 0.002 and P = 0.008, respectively) and in all quadrants of the left eye with a P < 0.001. Patients with disease duration multiple sclerosis (MS) for more than 5 years showed significant RNFL thinning in the superior quadrant of the right eye (P < 0.005), however, no such changes were seen in rest of the quadrants of the right eye and left eye. Significant RNFL thinning was seen in the patients of MS without prior history of optic neuritis (P = 0.001). Conclusion: Significant RNFL thinning was seen in patients of PD compared to the age and sex matched controls. The duration of PD also influenced the RNFL thickness as statistical strongly significant thinning (P < 0.001) was seen in both eyes of patients with disease of more than 5 years duration. However, no significant changes were seen in CMT in PD compared to the controls.
Authors and Affiliations
Sonal Singh, Rishi Sharma, V S Gurunadh, Sandeep Shankar
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