Fuchs' Endothelial Corneal Dystrophy evaluation using a high-resolution wavefront sensor.

Area of Science:

• Ophthalmology and Biomedical Engineering
• Corneal Imaging and Disease Analysis

Background:

• Fuchs' Endothelial Corneal Dystrophy (FECD) is a progressive condition affecting the cornea.
• Accurate diagnosis and monitoring of FECD are crucial for effective patient management.
• Current diagnostic methods may have limitations in objectively quantifying disease severity.

Purpose of the Study:

• To assess the applicability of the high-resolution WaveFront Phase Imaging Sensor (WFPI) for FECD.
• To develop and validate an Automatic Guttae Detection Method (AGDM) for FECD analysis.
• To quantitatively differentiate between healthy and FECD-affected eyes using WFPI data.

Main Methods:

• Ocular phase was measured using the t-cone aberrometer.
• High-Pass Filter Maps (HPFM) were generated from ocular phase data.
• An Automatic Guttae Detection Method (AGDM) was developed and applied to pupil areas of 3 and 5 mm.
• Key metrics including RMS error, number and area of guttae, and Delaunay Triangulation area were extracted.
• A Support Vector Machine (SVM) model was trained for classification.

Main Results:

• HPFM visually represented guttae distribution as dark spots, correlating with clinical slit-lamp findings.
• Statistically significant differences in all measured metrics were observed between FECD and healthy groups for both pupil sizes.
• Most variables showed significant differences when comparing 3 mm and 5 mm pupil sizes within the same group.
• The SVM model achieved successful classification between pathological and healthy eyes.

Conclusions:

• The high-resolution WFPI is a valuable tool for the objective diagnosis of FECD.
• The custom-designed AGDM effectively quantifies FECD-related changes.
• WFPI-derived wavefront phase changes provide objective markers for FECD monitoring.