Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Analysis of anterior chamber inflammation through automated quantitative assessment of swept-source anterior segment OCT images
Shani Pillar; Shin Kadomoto; Nina Cherian; Joseph Privratsky; Nicolette Zargari; Keren Chen; Nicholas Jackson; Saitiel Sandoval Gonzalez; Giulia Corradetti; SriniVas Sadda; Gary Holland; Edmund Tsui
Author Affiliations & Notes
  • Shani Pillar
    Jules Stein Eye Institute, University of California Los Angeles, Los Angeles, California, United States
  • Shin Kadomoto
    Department of Ophthalmology, Kyoto Daigaku Daigakuin Igaku Kenkyuka Igakubu, Kyoto, Kyoto, Japan
  • Nina Cherian
    Jules Stein Eye Institute, University of California Los Angeles, Los Angeles, California, United States
  • Joseph Privratsky
    Jules Stein Eye Institute, University of California Los Angeles, Los Angeles, California, United States
  • Nicolette Zargari
    Jules Stein Eye Institute, University of California Los Angeles, Los Angeles, California, United States
  • Keren Chen
    Department of Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, United States
  • Nicholas Jackson
    Department of Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, California, United States
  • Saitiel Sandoval Gonzalez
    Jules Stein Eye Institute, University of California Los Angeles, Los Angeles, California, United States
  • Giulia Corradetti
    Doheny Eye Institute, Los Angeles, California, United States
  • SriniVas Sadda
    Doheny Eye Institute, Los Angeles, California, United States
  • Gary Holland
    Jules Stein Eye Institute, University of California Los Angeles, Los Angeles, California, United States
  • Edmund Tsui
    Jules Stein Eye Institute, University of California Los Angeles, Los Angeles, California, United States
  • Footnotes
    Commercial Relationships   Shani Pillar None; Shin Kadomoto None; Nina Cherian None; Joseph Privratsky None; Nicolette Zargari None; Keren Chen None; Nicholas Jackson None; Saitiel Sandoval Gonzalez None; Giulia Corradetti Nidek, Code F (Financial Support); SriniVas Sadda 4DMT, Abbvie, Alexion, Allergan Inc., Alnylam Pharmaceuticals, Amgen Inc., Apellis Pharmaceuticals, Inc., Astellas, Bayer Healthcare Pharmaceuticals, Biogen MA Inc., Boehringer Ingelheim, Carl Zeiss Meditec, Catalyst Pharmaceuticals Inc., Centervue Inc., GENENTECH, Gyroscope Therapeutics, Heidelberg Engineering, Hoffman La Roche, Ltd., Iveric Bio, Janssen Pharmaceuticals Inc., Nanoscope, Notal Vision Inc., Novartis Pharma AG, Optos Inc., Oxurion/Thrombogenics, Oyster Point Pharma, Regeneron Pharmaceuticals Inc., Samsung Bioepis, Topcon Medical Systems Inc., Code C (Consultant/Contractor), Carl Zeiss Meditec, Heidelberg Engineering, Optos Inc., Nidek, Topcon, Centervue, Code F (Financial Support), Carl Zeiss Meditec, Heidelberg Engineering, Nidek Incorporated, Novartis Pharma AG, Topcon Medical Systems Inc., Code R (Recipient); Gary Holland None; Edmund Tsui Eyepoint, Kowa, Oculis, Code C (Consultant/Contractor), Pfizer, Cylite, Code F (Financial Support)
  • Footnotes
    Support  NEI K23EY032990; Unrestricted grant from Research to Prevent Blindness, Inc.
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 3024. doi:
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      Shani Pillar, Shin Kadomoto, Nina Cherian, Joseph Privratsky, Nicolette Zargari, Keren Chen, Nicholas Jackson, Saitiel Sandoval Gonzalez, Giulia Corradetti, SriniVas Sadda, Gary Holland, Edmund Tsui; Analysis of anterior chamber inflammation through automated quantitative assessment of swept-source anterior segment OCT images. Invest. Ophthalmol. Vis. Sci. 2024;65(7):3024.

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Abstract

Purpose : To utilize high-resolution swept-source anterior segment optical coherence tomography (AS-OCT) images for automated quantification of anterior chamber (AC) inflammation in uveitis.

Methods : We conducted a cross-sectional study of patients with anterior segment inflammation and of controls without history of ocular disease. Ninety eyes were imaged using the ANTERION (Heidelberg, Heidelberg Engineering, Germany) swept-source AS-OCT. An automated algorithm was developed to measure the number of hyper-reflective foci (HRF) detected in line-scan images. HRF count was compared with clinical Standardization of Uveitis Nomenclature (SUN) grading scores using a linear regression model. HRF counts of inactive-uveitic eyes were compared with those of healthy controls using Wilcoxon rank sum test.

Results : Sixty-seven eyes with anterior segment-involving uveitis and 23 eyes of healthy controls were included in the study. Of the uveitic eyes, the number of eyes at each SUN clinical grade of cells were as follows: zero, 42 (63%); 0.5+, 10 (15%); 1+, 9 (13%); 2+, 3 (5%); 3+, 2 (3%); 4+, 1 (2%). The corresponding medians of HRF count were as follows: 2 (IQR 0,4), 10 (8,15), 22 (15,33), 27 (26,74), 128 (118,139), 474. For every 1 unit increase in clinical grade, HRF count increased by 61 units (p=0.036), or by 342% (p<0.001), with a Pearson correlation coefficient of 0.80. HRF count was significantly different between the healthy control group (median 0; IQR 0,1) and the uveitic eyes with a clinical grade of zero (median 2; IQR 0,4) (p=0.008).

Conclusions : The automated HRF count using swept-source AS-OCT line-scans showed a significant correlation with clinical SUN grading scores. This method may be more sensitive than clinical exam in detecting minimal residual disease in inactive-appearing eyes. This objective automated assessment, based on the high-resolution swept-source AS-OCT images, holds promise to allow a more precise measurement of AC inflammation than current available methods.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Copyright © 2025 Association for Research in Vision and Ophthalmology.
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