ArticleTranslational vision science & technology2021
Detection of the Microvascular Changes of Diabetic Retinopathy Progression Using Optical Coherence Tomography Angiography.
Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- Individualized FAZ morphometry and standardized peri-FAZ vascular density: a pilot AngioVue OCTA study in diabetic retinopathy.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Automated Nonperfusion Quantification in Diabetic Retinopathy on Ultra-Widefield Swept-Source OCT Angiography.Ophthalmology science · 2026Article
- Early detection of retinal changes in children with diabetes without retinopathy using optical coherence tomography and optical coherence tomography angiography.Scientific reports · 2026Observational
- Retinal optical coherence tomography angiography (OCTA) biomarkers of cardiovascular disease: a review article.Eye (London, England) · 2025Review
- Localization of Microvascular Changes in Systemic Disease Without Retinopathy Using Optical Coherence Tomography Angiography (OCTA).Journal of clinical medicine · 2025Article
- Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.Frontiers in medicine · 2025Article
- Sub-Clinical Regional Macular Changes in Self-Reported Diabetic Subjects: Vascular and Retinal Layer Analysis Using Swept-Source OCT.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Early Diabetic Retinopathy Evaluation With OCTA: A Study on Vascular Branching and Fragmentation.Investigative ophthalmology & visual science · 2024Article
- Vascular Aging and Damage in Patients with Iron Metabolism Disorders.Diagnostics (Basel, Switzerland) · 2022Review
- Comparative study on retinal microvasculature changes between acute and chronic central serous chorioretinopathy.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022Article
- The Role of Medical Image Modalities and AI in the Early Detection, Diagnosis and Grading of Retinal Diseases: A Survey.Bioengineering (Basel, Switzerland) · 2022Review
- The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey.Sensors (Basel, Switzerland) · 2022Review
- Quantitative Evaluation of Retinal Microvascular Abnormalities in Patients With Type 2 Diabetes Mellitus Without Clinical Sign of Diabetic Retinopathy.Translational vision science & technology · 2022Article
- Optical Coherence Tomography Angiography in Diabetic Patients: A Systematic Review.Biomedicines · 2021Review
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To investigate microvascular parameters that are related to the severity of diabetic retinopathy (DR) with optical coherence tomography angiography (OCTA). Methods: In total, 105 eyes from 105 diabetic patients were recruited in this prospective cross-sectional study, including 37 eyes with no clinical signs of DR (NoDR), 43 eyes with nonproliferative diabetic retinopathy (NPDR), and 25 eyes with proliferative diabetic retinopathy (PDR). Angiogram images from the parafoveal superficial capillary plexus (SCP), the deep capillary plexus (DCP), and the radial peripapillary capillary plexus were analyzed, and metrics were compared among groups. Multivariate regression analysis was used to identify the best OCTA parameters that could distinguish DR severity among groups. Results: Parafoveal vessel diameter index in the SCP and vessel density (VD) in the DCP showed the strongest correlation with the severity of DR (P < 0.01). Extrafoveal avascular area in the SCP was the parameter that could most distinguish NoDR from NPDR (P < 0.01) with sensitivity and specificity of 83.72% and 78.38%, respectively. VD in the DCP also was the most sensitive biomarker to distinguish NPDR from PDR (P < 0.01) with sensitivity and specificity of 84.00% and 79.07%, respectively. Conclusions: The microvascular changes in the SCP and DCP in DR may have different characteristics that could be identified with specific OCTA parameters. OCTA serves as a promising technology to discriminate eyes with different severity of DR. Translational Relevance: Our study investigated OCTA metrics and severity of DR. At different stages of DR, ophthalmologists may focus on specific OCTA parameters to predict the progression of retinopathy in individual patients.
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