Official ESCRS | European Society of Cataract & Refractive Surgeons
Vienna 2018 Delegate Registration Programme Exhibition Virtual Exhibition Satellites 2018 Survey


escrs app advert


Search Title by author or title

Bowman's surface topography provides new insights to allergic eye disease

Poster Details

First Author: H.Matalia INDIA

Co Author(s):    J. Matalia   N. Chandak   R. Chandapura   A. Sinha Roy           

Abstract Details


To assess the bowman's surface topography in normal, allergic eye disease (AED) and keratoconus (KC) eyes.


Narayana Nethralaya Eye Hospital, Bangalore, India


The study included 200 normal, 20 AED and 100 KC eyes. Anterior segment optical coherence tomography (OCT) (Topcon Systems, Japan) was used to acquire 12 radial scans of 6 mm diameter. Air-Epithelium (A-E) and Epithelium-Bowman's (E-B) interfaces were detected in OCT scans. A decision tree classifier (artificial intelligence) using the following variables was built: root mean square (RMS) of coma, RMS of higher order aberrations (HOA), RMS of lower order aberrations (LOA) and RMS of total aberrations at A-E and E-B interface. Also, total aberrations of A-E and E-B interfaces combined were used.


Decision tree provided the following classification: (a) if RMS of total aberration at E-B interface <= 1.73 µm, then the eye was classified as normal; (b) if RMS of total aberration > 1.73 µm, RMS of coma at E-B interface <= 1.44 µm and RMS of HOA at A-E interface >1.56 µm, eye was classified as AED; (c) RMS of total aberrations at E-B > 1.73 µm and RMS of coma at E-B interface > 1.44, eye was classified as KC. The classifier achieved an accuracy of 99% for normal, 80% for AED and 91.9% for KC eyes.


A decision tree classifier using A-E and E-B interfaces was a potent discriminator between AED and KC eyes. This study provided new insights in evaluating AED by employing E-B interface topography. Further study with larger sample size is needed.

Financial Disclosure:


Back to Poster listing