Automated measurement of iris surface smoothness using anterior segment optical coherence tomography

Author: Elias Pour (Iran, Islamic Republic of)

Co-authors: Mohammad Zarei, Tahereh Mahmoudi, Hamid Riazi-Esfahani, Nazanin Ebrahimiadib, Mehdi Yaseri, Hossein Arabalibeik

Purpose

To present an automated method in a observational case control series to measure the smoothness index (SI) of iris surface in anterior segment optical coherence tomography (AS-OCT) images.

Setting/Venue

a observational case control series

Methods

The ratio of the length of the straight line connecting the most peripheral and central points of the anterior iris border (in nasal and temporal sides) to the actual length of this border on AS-OCT images, was defined as SI. In a uveitis referral center twenty-two eyes of 11 patients with unilateral Fuchs uveitis (FU) (7 female) and 22 eyes of 11 healthy control subjects underwent AS-OCT imaging. Image J and a newly developed MATLAB algorithm were used for manual and automated SI measurements, respectively. Agreement between manual and automated measurements was evaluated with Bland-Altman analysis and interclass correlation coefficient. The inter-eye difference of SI was compared between FU group and control group.

Results

Automated mean overall SI was 0.868 ± 0.037 and 0.840 ± 0.039 in FU and healthy fellow eyes, respectively (estimated mean difference = -0.028, 95% CI [-0.038, -0.018], p<0.001). Bland- Altman plots showed good agreement between two methods in both healthy and FU eyes. Interclass correlation coefficient between the manual and automated measurements in the FU and healthy fellow eyes was 0.958 and 0.964, respectively. Inter-eye difference of overall SI was 0.029 ± 0.015 and 0.012 ± 0.008 in FU group and control group, respectively (p=0.01).

Conlusions

We concluded that he automated algorithm can rapidly and conveniently measure SI with results comparable to manual method.

Financial Disclosure

No financial interest to declare

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