Quantitative analysis of vascular complexity in OCTA of diabetic retinopathy

Minhaj Nur Alam; David Le; Jennifer I. Lim; Xincheng Yao

doi:10.1117/12.2546538

19 February 2020 Quantitative analysis of vascular complexity in OCTA of diabetic retinopathy

Minhaj Nur Alam, David Le, Jennifer I. Lim, Xincheng Yao

Proceedings Volume 11218, Ophthalmic Technologies XXX; 1121824 (2020) https://doi.org/10.1117/12.2546538
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Diabetic retinopathy (DR) is a major ocular manifestation of diabetes. DR can cause irreversible damage to the retina if not intervened timely. Therefore, early detection and reliable classification are essential for effective management of DR. As DR progresses into the proliferative stage (PDR), manifestation of localized neovascularization and complex capillary meshes are observed in the retina. These vascular complex structures can be quantified as biomarkers of transition of DR from no-proliferative to proliferative stage (NPDR). This study investigates four optical coherence tomography angiography (OCTA) features, i.e. vessel complexity index (VCI), fractal dimension (FD), four-point crossover (FCO), and blood vessel tortuosity (BVT), to quantify vascular complexity to distinguish NPDR from PDR eyes. OCTA images from 20 control, 60 NPDR and 56 PDR patients were analyzed. The univariate analysis showed that, with the progression of DR, all four complexity features increased with statistical significance (ANOVA, P < 0.05). A posthoc study showed that, only VCI and BVT were able to distinguish between NPDR and PDR. A multivariate logistic regression identified VCI and BVT as the most significant feature combination for NPDR vs PDR classification.

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Minhaj Nur Alam, David Le, Jennifer I. Lim, and Xincheng Yao "Quantitative analysis of vascular complexity in OCTA of diabetic retinopathy", Proc. SPIE 11218, Ophthalmic Technologies XXX, 1121824 (19 February 2020); https://doi.org/10.1117/12.2546538

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KEYWORDS

Statistical analysis

Image segmentation

Retina

Optical coherence tomography

Quantitative analysis

Angiography

Capillaries

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