Assessment of anterior chamber inflammation by objective anterior SSOCT image analysis
Session Details
Session Title: Anterior Segment Imaging
Session Date/Time: Monday 16/09/2019 | 14:00-16:00
Paper Time: 14:42
Venue: Free Paper Forum: Podium 4
First Author: : I.Potapenko DENMARK
Co Author(s): : M. Alberti M. la Cour J. Cabrerizo
Abstract Details
Purpose:
To develop an objective method to assess, quantify and categorised inflammation in the anterior chamber of the eye by SS-OCT image analysis.
Setting:
Dept. of Ophthalmology, Rigshospitalet - Glostrup, Copenhagen, Denmark.
Methods:
An image processing algorithm was developed to process anterior OCT images acquired by Tomey CASIA-II. Number and relative size of particles, as well as background brightness of anterior chamber aqueous was extracted. OCT images from 18 patients (24 eyes) with anterior uveitis were acquired and compared to clinical SUN grading of flare and cells in the anterior chamber made by an experienced ophthalmologist.
Results:
Number of particles per mm2 ranged from 0 to 8.95 (mean 1.7), with a mean estimated particle diameter 20um (SD=6.6). Distribution of particle size showed double peak configuration (peaks around 15-18um and 30-35um). Particle density was on average 1.0, 0.5, 0.8 and 1.5 per mm2 for clinical SUN scores 0, 0.5, 1, 2 and 3, respectively (Spearman correlation coefficient rho of 0.62). Background brightness of aqueous was on average 3.4 (SD=0.54), and did not correlate to clinically assessed flare score (Spearman rho 0.06).
Conclusions:
Software based SS-OCT image analyses algorithm might be a feasible non-invasive tool for objective assessment of inflammation in the anterior chamber with clear potential applications in the follow up of patients with previous keratoplasty.
Financial Disclosure:
None
