Validation of an Automated Quantification of Relative Ellipsoid Zone Reflectivity on Spectral Domain-Optical
Sarah Thiele1,2, Ben Isselmann1, Maximilian Pfau1,2,3
1Department of Ophthalmology, University of Bonn, Bonn, Germany.
Translational Vision Science & Technology
|November 2, 2020
Summary
An automated method for quantifying relative ellipsoid zone reflectivity (rEZR) is reliable and reproducible. This advancement in spectral-domain optical coherence tomography (SD-OCT) analysis aids in assessing photoreceptor health and age-related macular degeneration (AMD).
Area of Science:
- Ophthalmology
- Biomedical Imaging
- Retinal Disease Research
Background:
- Relative ellipsoid zone reflectivity (rEZR) is a key indicator of photoreceptor health, measurable via spectral-domain optical coherence tomography (SD-OCT).
- Manual quantification of rEZR is time-consuming and lacks spatial resolution, hindering its clinical utility.
- Development of an automated method for rEZR quantification is crucial for efficient and detailed analysis.
Purpose of the Study:
- To evaluate the reliability and reproducibility of an automated rEZR quantification method.
- To compare automated rEZR measurements with a manual approach.
- To assess the potential of automated rEZR as a biomarker for age-related macular degeneration (AMD).
Main Methods:
- Acquired rEZR using both manual and automated methods in eyes with AMD and healthy controls.
- Compared rEZR values between the manual and automated approaches.
- Assessed agreement and reproducibility between the two quantification methods.
Main Results:
- Both methods confirmed greater rEZR in control eyes compared to AMD eyes (P < 0.001).
- Limits of agreement between manual and automated methods were -7.5 to 7.3 arbitrary units (AU).
- Automated method demonstrated perfect reproducibility, while the manual method had a coefficient of repeatability of 6.3 AU.
Conclusions:
- The automated rEZR quantification method is reliable and reproducible.
- This automated approach facilitates comprehensive and longitudinal characterization of rEZR.
- Further research is warranted to explore rEZR's role as a biomarker for AMD severity and progression.


