July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Number of Anterior Segment OCT Images Required to Capture Anatomical Variations in Angle Closure Eyes: The Chinese American Eye Study.
Author Affiliations & Notes
  • Charles DeBoer
    Ophthalmology, University of Southern California, Los Angeles, California, United States
  • Jing Shan
    Ophthalmology, University of Southern California, Los Angeles, California, United States
  • Anmol Pardeshi
    Southern California Eyecare & Vision Research Institute, Los Angeles, California, United States
  • Rohit Varma
    Southern California Eyecare & Vision Research Institute, Los Angeles, California, United States
  • Benjamin Xu
    Ophthalmology, University of Southern California, Los Angeles, California, United States
  • Footnotes
    Commercial Relationships   Charles DeBoer, None; Jing Shan, None; Anmol Pardeshi, None; Rohit Varma, Allegro Inc. (C), Bausch Health Companies Inc. (C); Benjamin Xu, None
  • Footnotes
    Support  Supported by National Institutes of Health/National Eye Institute Grant U10 EY-017337 and the Unrestricted Grant from Research to Prevent Blindness,.
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 5528. doi:
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      Charles DeBoer, Jing Shan, Anmol Pardeshi, Rohit Varma, Benjamin Xu; Number of Anterior Segment OCT Images Required to Capture Anatomical Variations in Angle Closure Eyes: The Chinese American Eye Study.. Invest. Ophthalmol. Vis. Sci. 2019;60(9):5528.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Anterior segment optical coherence tomography (AS-OCT) has the potential to guide diagnosis and management of angle closure glaucoma. The number of images to accurately characterize anatomical variations in angle closure glaucoma eyes is unknown. This study evaluates the number of AS-OCT images required to capture variations in mean and range of parameter measurement values in angle closure eyes.

Methods : Subjects with gonioscopic angle closure, defined as three or more quadrants in which pigmented trabecular meshwork could not be visualized, were recruited from the Chinese American Eye Study (CHES), a population-based study of Chinese Americans in Los Angeles, CA[BX1] . 32 radial AS-OCT images from one eye per subject were analyzed. Angleopening distance (AOD), angle recess area, trabecular iris space area, iris area, iris curvature, lens vault, anterior chamber width (ACW), and anterior chamber areawere measured. To evaluate the effect of number of images, the mean and range of measurement values from 1, 2, 4, 8, and 16 images were compared to values measured from 32 images.

Results : 40 eyes from 40 subjects were analyzed. Deviation from the 32-image mean was 0.8-18.6% for 1, 0.1-6.1% for 2, 0.0-5.9% for 4, 0.0-3.0% for 8, and 0.0-1.7% for 16 images. Deviation from the 32-image range was 54.7-100% for 1, 17.4-77.6% for 2, 14.0-54.3% for 4, 0.0-38.1% for 8, and 0.0-22.9% for 16 images.

Conclusions : Analyzing multiple AC-OCT images provides closer estimates of 32-image mean and range of measurements values of various anterior segment parameters among angle closure eyes. Measurements from 2 images are enough to approximate the mean, which is fewer than in open angle eyes. Conversely, measurements from 8 or 16 images are required to capture most of the range, which is more than open angle eyes and likely due to increased noise among AS-OCT measurements in angle closure eyes.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

Mean and range of measurements for an increasing number of OCT images for AOD 750. Solid blue line represents 32 images, with red line depicting fewer images (1, 2, 4, 8, 16, and 32). Dotted lines correspond to mean and range (peak-to-trough). At n=2 images, mean values converge, while range continues to have 7% error at n=16.

Mean and range of measurements for an increasing number of OCT images for AOD 750. Solid blue line represents 32 images, with red line depicting fewer images (1, 2, 4, 8, 16, and 32). Dotted lines correspond to mean and range (peak-to-trough). At n=2 images, mean values converge, while range continues to have 7% error at n=16.

 

Mean and range of measurements for an increasing number of OCT images for ACW. Mean converges within 1% at n=1 while range converges at n=8.

Mean and range of measurements for an increasing number of OCT images for ACW. Mean converges within 1% at n=1 while range converges at n=8.

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