June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Analysis of Ocular Anterior Chamber Inflammation in Anterior Chamber Involving Uveitis Imaged by Swept-Source Anterior Segment OCT.
Author Affiliations & Notes
  • Elmira Baghdasaryan
    Ophthalmology, Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, United States
  • Tudor Tepelus
    Ophthalmology, Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, United States
  • Ping Huang
    Ophthalmology, Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, United States
  • Jianyan Huang
    Ophthalmology, Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, United States
  • Srinivas R Sadda
    Ophthalmology, Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, United States
    Ophthalmology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States
  • Olivia L Lee
    Ophthalmology, Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California, United States
    Ophthalmology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States
  • Footnotes
    Commercial Relationships   Elmira Baghdasaryan, None; Tudor Tepelus, None; Ping Huang, None; Jianyan Huang, None; Srinivas Sadda, Allergan (F), Allergan (C), Carl Zeiss Meditec (F), Genentech (F), Genentech (C), Iconic (C), Novartis (C), Optos (F), Optos (C), Thrombogenics (C); Olivia Lee, Allergan (C)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 1290. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to Subscribers Only
      Sign In or Create an Account ×
    • Get Citation

      Elmira Baghdasaryan, Tudor Tepelus, Ping Huang, Jianyan Huang, Srinivas R Sadda, Olivia L Lee; Analysis of Ocular Anterior Chamber Inflammation in Anterior Chamber Involving Uveitis Imaged by Swept-Source Anterior Segment OCT.. Invest. Ophthalmol. Vis. Sci. 2017;58(8):1290.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : To evaluate the utility of swept-source optical coherence tomography (SS-OCT) to objectively image and grade the degree of anterior chamber (AC) inflammation.

Methods : In this IRB-approved, prospective, observational study, we enrolled 29 eyes from 23 patients with AC-involving uveitis. The severity of AC inflammation was performed by an experience uveitis specialist (OLL) using the Standardization of Uveitis Nomenclature (SUN) criteria (0,0.5+, 1+,2+,3+,4+). Swept source OCT imaging was performed using a Triton OCT (Topcon Medical Systems, Inc., Oakland, NJ) fitted with an anterior segment lens attachment. For each eye, 3-5 anterior segment (AS) B-scans (3-mm horizontal single B-scan at the central cornea) were obtained. The number of cells in the AS B-scans were quantified using two methods: (1) manual grading using the Point Picker plugin (http://bigwww.epfl.ch/thevenaz/pointpicker/ ); (2) automated grading using the Image J particle analysis algorithm (http://imagej.net/Particle_Analysis ). The number of cells among the B-scans for each eye were averaged. The automated as well as manual AC cells counts were correlated with the clinical inflammation severity score using a Spearman’s correlation.

Results : In this cohort of 29 eyes (23 patients), the average number of AC cells on SS AS-OCT by automated analysis for each clinical grade category were 12.2 ± 5.5 SD, 57.6 ± 27.5 SD, 111.7 ± 60.0 SD, 173.6 ± 72.2 SD and 377.6 ± 92.0 SD for grades 0, 1+, 2+, 3+, and 4+, respectively. For these same clinical categories, the average manual cell counts were 8.6 ± 5.6 SD, 47.6 ± 21.2 SD, 98.2 ± 56.7 SD, 134.2 ± 55.0 SD and 231.6 ± 88.6 SD, respectively. One eye with 0.5+ clinical grade had 27 cells on SS AS-OCT measured by both methods. The range of mean AC cell numbers detected by the manual and automated methods were 2-334 and 2-475, respectively. The manual and automated cell counts were highly correlated (r=0.98, p<0.001). Both manual (r=0.88; p<0.001) and automated (r=0.89; p<0.001) methods also showed good correlation with the clinical severity grading.

Conclusions : Quantitative AC cells counts from SS AS-OCT show good correlation with categorical clinical assessments of severity in eyes with AC-involving uveitis. This approach may provide a more precise and reliable method for monitoring uveitis and response to therapy.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×