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COMPARATIVE ANALYSIS OF OCT AND OCT ANGIOGRAPHY CHARACTERISTICS IN EARLY DIABETIC RETINOPATHY

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Comparative OCT and OCTA analysis revealed that the photoreceptor inner segment ellipsoid is the most sensitive OCT feature to reflect rod dysfunction, and the blood vessel diameter and perimeter indices… Click to show full abstract

Comparative OCT and OCTA analysis revealed that the photoreceptor inner segment ellipsoid is the most sensitive OCT feature to reflect rod dysfunction, and the blood vessel diameter and perimeter indices are the most sensitive OCTA characteristics to reveal vascular abnormalities in early DR. Purpose: To assess the quantitative characteristics of optical coherence tomography (OCT) and OCT angiography (OCTA) for the objective detection of early diabetic retinopathy (DR). Methods: This was a retrospective and cross-sectional study, which was carried out at a tertiary academic practice with a subspecialty. Twenty control participants, 15 people with diabetics without retinopathy (NoDR), and 22 people with mild nonproliferative diabetic retinopathy (NPDR) were included in this study. Quantitative OCT characteristics were derived from the photoreceptor hyperreflective bands, i.e., inner segment ellipsoid (ISe) and retinal pigment epithelium (RPE). OCTA characteristics, including vessel diameter index (VDI), vessel perimeter index (VPI), and vessel skeleton density (VSD), were evaluated. Results: Quantitative OCT analysis indicated that the ISe intensity was significantly trending downward with DR advancement. Comparative OCTA revealed VDI, VPI, and VSD as the most sensitive characteristics of DR. Correlation analysis of OCT and OCTA characteristics revealed weak variable correlation between the two imaging modalities. Conclusion: Quantitative OCT and OCTA analyses revealed photoreceptor and vascular distortions in early DR. Comparative analysis revealed that the OCT intensity ratio, ISe/RPE, has the best sensitivity for early DR detection. Weak variable correlation of the OCT and OCTA characteristics suggests that OCT and OCTA are providing supplementary information for DR detection and classification.

Keywords: oct octa; octa characteristics; analysis; diabetic retinopathy; oct

Journal Title: Retina
Year Published: 2023

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