Paper
20 March 2015 Characterization of rat model of acute anterior uveitis using optical coherence tomography angiography
Author Affiliations +
Proceedings Volume 9307, Ophthalmic Technologies XXV; 93071Z (2015) https://doi.org/10.1117/12.2080484
Event: SPIE BiOS, 2015, San Francisco, California, United States
Abstract
Uveitis, or ocular inflammation, is a cause of severe visual impairment. Rodent models of uveitis are powerful tools used to investigate the pathological mechanisms of ocular inflammation and to study the efficacy of new therapies prior to human testing. In this paper, we report the utility of spectral-domain optical coherence tomography (SD-OCT) angiography in characterizing the inflammatory changes induced in the anterior segment of a rat model of uveitis. Acute anterior uveitis (AAU) was induced in two rats by intravitreal injection of a killed mycobacterial extract. One of them received a concurrent periocular injection of steroids to model a treatment effect. OCT imaging was performed prior to inflammation induction on day 0 (baseline), and 2 days post-injection (peak inflammation). Baseline and inflamed images were compared. OCT angiography identified swelling of the cornea, inflammatory cells in the anterior and posterior chambers, a fibrinous papillary membrane, and dilation of iris vessels in the inflamed eyes when compared to baseline images. Steroid treatment was shown to prevent the changes associated with inflammation. This is a novel application of anterior OCT imaging in animal models of uveitis, and provides a high resolution, in vivo assay for detecting and quantifying ocular inflammation and the response to new therapies.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Woo June Choi, Kathryn L. Pepple, Zhongwei Zhi, and Ruikang K. Wang "Characterization of rat model of acute anterior uveitis using optical coherence tomography angiography", Proc. SPIE 9307, Ophthalmic Technologies XXV, 93071Z (20 March 2015); https://doi.org/10.1117/12.2080484
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KEYWORDS
Optical coherence tomography

Image segmentation

Inflammation

Eye

Angiography

Eye models

Iris

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