Novel Parameters to Assess the Severity of Corneal Neovascularization Using Anterior Segment Optical Coherence Tomography Angiography
Autor: | N. Dilruba Koseoglu, William Binotti, Ricardo M. Nosé, Kenneth R. Kenyon, Pedram Hamrah |
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Rok vydání: | 2020 |
Předmět: |
Moderate to severe
Male Visual acuity Fundus Oculi Severity of Illness Index Vessel density Anterior Eye Segment medicine Humans Corneal Neovascularization Fluorescein Angiography Retrospective Studies medicine.diagnostic_test business.industry Optical coherence tomography angiography Middle Aged medicine.disease Ophthalmology Cross-Sectional Studies Angiography Corneal neovascularization Female medicine.symptom Nuclear medicine business Tomography Optical Coherence |
Zdroj: | American journal of ophthalmology. 222 |
ISSN: | 1879-1891 |
Popis: | Purpose Assessment of anterior segment–optical coherence tomography angiography (AS-OCTA) to determine severity of corneal neovascularization (CoNV). Design Retrospective, cross-sectional, single-center study. Methods Patients of various CoNV etiologies were selected and classified into mild, moderate, and severe. Their AS-OCTA images were measured for CoNV anterior limit, CoNV posterior limit, CoNV thickness, CoNV depth%, CoNV vessel density, CoNV area, and CoNV volume. Further, AS-OCTA parameters were correlated to clinical parameters, such as classification, a numerical severity scale, vascular clock hours, and best-corrected visual acuity (BCVA). Results A total of 19 mild, 10 moderate, and 6 severe CoNV eyes were included with no significant age-gender differences. CoNV depth% and volume increased from mild to moderate (9.3 ± 1.1% to 17.7 ± 3.3%, P = .030, and 0.2 ± 0.1 mm3 to 1.0 ± 0.3 mm3, P = .025, respectively) and from moderate to severe CoNV (44.6 ± 5.3%, P Conclusions Severe CoNV shows greater CoNV posterior limit, thickness, depth%, area, and volume on AS-OCTA compared to mild. CoNV volume and depth strongly correlate to BCVA. AS-OCTA provides novel, quantitative, and noninvasive parameters for assessing CoNV severity. |
Databáze: | OpenAIRE |
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