Purpose To 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.
Methods Subjects with angle closure, defined as >3 quadrants of non-visible pigmented trabecular meshwork on static gonioscopy, were selected from the Chinese American Eye Study. Mean angle opening distance (AOD500) was calculated using four images (0°−180°, 45°−225°, 90°−270° and 135°−315° meridians) from one eye per subject. Ten eyes from each quartile of AOD500 measurements were randomly selected for detailed 32-image analysis of 10 biometric parameters, including AOD500, iris curvature (IC), anterior chamber depth (ACD), lens vault (LV), and anterior chamber area (ACA). Mean and range of measurements from 1, 2, 4, 8 or 16 images were compared with 32-image values for all parameters.
Results 40 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.
Conclusions Sectoral 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.
- anterior chamber
- diagnostic tests/investigation
Data availability statement
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Contributors BYX and GMC designed the presented study. XJ, RM-C, and RV collected data. AP, BYX, and JS analysed the data. All authors contributed to the final manuscript. BYX acts as guarantor of the study.
Funding This work was supported by the National Eye Institute K23 EY029763; the American Glaucoma Society Young Clinician Scientist Research Award; and Research to Prevent Blindness unrestricted grant to the Department of Ophthalmology; and UCSF Initiative for Digital Transformation in Computational Biology & Health.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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