Abstract
To evaluate the significance of motion artifacts in optical coherence tomography angiography (OCTA) images of patients with Parkinson’s disease (PD) and healthy controls. In this prospective, cross-sectional study subjects with medicated PD (ON) and healthy, age- and gender-matched volunteers were recruited. Participants underwent specific ophthalmological examinations, including OCTA. Angiograms of the superficial retinal capillary plexus were evaluated for the type and frequency of artifacts using a validated motion artifact score (MAS). A total of 30 PD patients (60 eyes), average disease duration of 9.61 ± 5.55 years, and 30 matched, healthy controls (60 eyes) were recruited. Twenty percent of all eyes had an eye disease, unknown to the participant, with a significant impact on OCTA results. After cleansing the dataset by excluding subjects with confounding ocular comorbidities 42 eyes of 28 PD patients and 53 eyes of 29 healthy controls were further evaluated. Overall MAS and all five subtypes of motion artifacts were comparable without significant differences between groups. OCTA can be used in treated PD patients (ON) without a significant increase in motion artifacts. Nevertheless, special attention should be paid to image quality during the acquisition of OCTA data, for which an experienced OCTA operator is useful.
Highlights
The retina is part of the central nervous system and contains dopaminergic amacrine cells within the inner nuclear layer[1]
Evaluation of optical coherence tomography (OCT) angiography (OCTA) image quality did not show any significant differences in signal strength and centration on the fovea (p > 0.05) between groups
Of all five motion artifact score (MAS) elements only “displacement” was significantly more often in Parkinson’s disease (PD) patients compared to healthy controls (p = 0.036)
Summary
The retina is part of the central nervous system and contains dopaminergic amacrine cells within the inner nuclear layer[1]. In patients with low fixation due to eye diseases or movement disorders such as PD, OCTA imaging can be challenging, and image quality is frequently an issue. OCTA image quality is of decisive importance for reliable quantitative image evaluations, especially when automated in-device analyzation tools are used[19]. This prospective study aimed to evaluate the applicability of OCTA in PD patients and to assess the prevalence and type of motion artifacts in comparison to healthy controls
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