ArticleOphthalmology2021
OCT Angiography Artifacts in Glaucoma.
Article in Ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
- Automated Assessment of OCT Angiography Image Quality Using the Artificial Intelligence Ready and Exploratory Atlas for Diabetes Insights Data Set.Ophthalmology science · 2026Article
- Progression in Preperimetric Glaucoma Eyes With and Without Microvasculature Dropout.American journal of ophthalmology · 2026Article
- Ocular Blood Flow in Eyes with Myopia and Glaucoma: From Pathophysiology to Clinical Implications.Journal of clinical medicine · 2026Review
- Quantification of Skin Adaptation to Lower-Limb Prosthesis Use Through Optical Coherence Tomography Angiography and Thermal Imaging: A Review.Bioengineering (Basel, Switzerland) · 2026Review
- Intrapapillary Damage and Its Functional Association in Normal Tension Glaucomatous Eyes With and Without Peripapillary Intrachoroidal Cavitation.Investigative ophthalmology & visual science · 2026Observational
- The Inter-Eye Differences of the Circumpapillary Microvasculature in Primary Open-Angle Glaucoma.Translational vision science & technology · 2026Article
- Extravascular Motion Signal Detected by OCT Angiography Indicates Altered Vascular-Tissue Biomechanical Interactions in Glaucoma.Investigative ophthalmology & visual science · 2026Article
- Structural and Functional Progression in Open-Angle Glaucoma with Unilateral Peripapillary Intrachoroidal Cavitation.Journal of clinical medicine · 2026Article
- Glaucoma Progression Detection Time Using OCT and OCTA in African and European Descendants.American journal of ophthalmology · 2026Article
- The Artifacts in Macular and Peripapillary OCT Angiography in Patients with Different Severities of Glaucoma.Ophthalmology science · 2026Article
- Comparison of Deep Optic Nerve Head Structures and Optic Disc Morphology in Unilateral Peripapillary Intrachoroidal Cavitation.Ophthalmology science · 2026Article
- Association of 10-2 Visual Field Cluster Patterns With Visual Acuity in Normal-Tension Glaucoma Patients With Central Visual Field Defects.Investigative ophthalmology & visual science · 2025Article
- Effects of pulse glucocorticoid treatment on retinal blood flow in patients with active Graves' orbitopathy.BMC ophthalmology · 2025Article
- Baseline choroidal microvasculature dropout as a predictor of rapid global structural loss in open-angle glaucoma.Scientific reports · 2025Article
- Article
- Dual-stream disentangled model for microvascular extraction in five datasets from multiple OCTA instruments.Frontiers in medicine · 2025Article
- Sequence and Detectability of Changes in Macular Ganglion Cell Layer Thickness and Perfusion Density in Early Glaucoma.Investigative ophthalmology & visual science · 2024Article
- Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.The British journal of ophthalmology · 2024Observational
- Effect of magnification error and axial length on circumpapillary capillary density and retinal nerve fiber layer thickness.Scientific reports · 2024Article
- High Prevalence of Artifacts in Optical Coherence Tomography With Adequate Signal Strength.Translational vision science & technology · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
purposeTo determine the prevalence of different types of artifacts seen in OCT angiography (OCTA) images of healthy and glaucoma eyes and evaluate the characteristics associated with poor-quality images.
designRetrospective study.
participantsA total of 649 eyes of 368 healthy, glaucoma suspect, and glaucoma patients.
methodsAngiovue (Optovue Inc) high-density (HD) and non-HD optic nerve head and macula OCTA images of participants were evaluated by 4 expert reviewers for the presence of different artifacts, including eye movement, defocus, shadow, decentration, segmentation error, blink, and Z offset in the superficial vascular layer. Each OCTA scan was designated to have good or poor quality based on the presence of artifacts. The association of demographic and ocular characteristics with the likelihood of obtaining poor-quality OCTA images was evaluated.
main outcome measuresThe prevalence of OCTA artifacts and the factors associated with increased likelihood of capturing poor-quality OCTA images.
resultsA total of 5263 OCTA images were evaluated. Overall, 33.9% of the OCTA images had poor quality. The majority of images with acceptable quality scores (QS ≥ 4) had no artifacts (76.6%). Other images had 1 (13.6%) or 2 or more artifacts (9.8%). Older age (P < 0.001), male gender (P = 0.045), worse visual field mean deviation (P < 0.001), absence of eye tracking (P < 0.001), and macular scan area (P < 0.001) were associated with a higher likelihood of obtaining poor-quality images. In images with acceptable QS, the commercially available quality measures including QS and signal strength index had the area under the receiver operating characteristic curves of 0.65 (95% confidence interval [CI], 0.62-0.69) and 0.70 (95% CI, 0.68-0.73) to detect good-quality images, respectively.
conclusionsOCTA artifacts associated with poor-quality images are frequent, and their prevalence is affected by ocular and patient characteristics. One should not rely solely on the quantitative assessments that are provided automatically by OCTA instruments. A systematic scan review should be conducted to ensure appropriate interpretation of OCTA images. Given the high prevalence of poor-quality OCTA images, the images should be reacquired whenever an apparent and correctable artifact is present on a captured image.
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