ArticleThe British journal of ophthalmology2023
Optimal number and orientation of anterior segment OCT images to measure ocular biometric parameters in angle closure eyes: the Chinese American Eye Study.
Article in The British journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Quantitative Ciliary Body Imaging Using Image-Registered Swept-Source AS-OCT and Ultrasound Biomicroscopy.Translational vision science & technology · 2026Article
- Ultrasound biomicroscopy analysis of age-related trends in lens stability in cortical cataracts.International journal of ophthalmology · 2026Article
- Ocular Biometric Predictors of Corneal Endothelial Contact by Intracameral Implants for Open-Angle Glaucoma and Ocular Hypertension.Translational vision science & technology · 2025Observational
- Classification of Angle Closure Severity by Hierarchical Cluster Analysis of Ocular Biometrics in the Dark and Light.Translational vision science & technology · 2023Article
- Applications of deep learning in the analysis of optical coherence tomography images for glaucoma-related diagnostics.Taiwan journal of ophthalmologyReview
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeTo assess the optimal number and orientation of anterior segment optical coherence tomography (AS-OCT) images for accurately measuring ocular biometric parameters in angle closure eyes.
methodsSubjects with angle closure, defined as
results40 out of 335 eyes with angle closure were selected for 32-image analysis. Deviation from the 32-image mean was between 0.44% and 19.31% with one image, decreasing to 0.08% to 4.21% with two images for all parameters. Deviation from the 32-image range of measurements was between 54.67% to 88.94% with one image, decreasing to <7.00% with eight images for all parameters except ACD and ACA. Orienting the first image analysed along the 25°-205° meridian better approximated the range of measurements when four or fewer images were analysed.
conclusionsSectoral anatomical variations in angle closure eyes are easily misrepresented based on current AS-OCT imaging conventions. A revised multi-image approach can better capture the mean and range of biometric measurements.
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Registered trials
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