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Revisiting the Drasdo Model: Implications for Structure-Function Analysis of the Macular Region.
Giovanni Montesano1,2, Giovanni Ometto1,2, Ruth E Hogg3
1City, University of London-Optometry and Visual Sciences, London, UK.
Translational Vision Science & Technology
|September 25, 2020
Summary
This study adapted the Drasdo retinal ganglion cell (RGC) displacement model for macular analysis, finding that Method 2 accurately accounts for axial length (AL) and geometric scaling in RGC density maps.
Area of Science:
- Ophthalmology
- Computational Biology
- Medical Imaging
Background:
- Accurate macular structure-function analysis is crucial for diagnosing and monitoring retinal diseases.
- Existing models may not adequately account for individual variations in eye size, such as axial length (AL).
- The Drasdo model offers a framework for understanding retinal ganglion cell (RGC) displacement.
Purpose of the Study:
- To implement and validate the Drasdo RGC displacement model for macular structure-function analysis, incorporating axial length (AL) customization.
- To compare two methods of applying the displacement model to perimetric stimuli.
- To ensure the model's applicability to clinically relevant measurements.
Main Methods:
- Measured the effect of AL on inner retinal shape using 235 optical coherence tomography (OCT) scans from healthy eyes.
- Applied the Drasdo model with two methods: Method 1 (displacing stimulus center) and Method 2 (displacing stimulus edge).
- Validated results using RGC density maps from 28 OCT scans of young healthy subjects.
Main Results:
- Retinal structure size significantly increased with AL, consistent with geometric scaling.
- Method 1 underestimated RGC counts by up to 60%, while Method 2 showed no bias.
- The findings were confirmed on clinically available OCT measurements.
Conclusions:
- The Drasdo model effectively incorporates AL through geometric scaling for RGC displacement.
- Method 2 is recommended for accurate structure-function analyses in the macula.
- A free web application is available for researchers to utilize these findings.

