Revisiting the Drasdo Model: Implications for Structure-Function Analysis of the Macular Region.
Montesano Giovanni, Ometto Giovanni, Hogg Ruth E, Rossetti Luca M, Garway-Heath David F, Crabb David P
AI Summary
This study refined a retinal ganglion cell displacement model, finding geometric scaling with eye size. A new mapping method accurately accounts for displacement, improving macular structure-function analysis.
Abstract
Purpose
To provide a consistent implementation of a retinal ganglion cell (RGC) displacement model proposed by Drasdo et al. for macular structure-function analysis, customizable by axial length (AL).
Methods
The effect of axial length on the shape of the inner retina was measured on 235 optical coherence tomography (OCT) scans from healthy eyes, to provide evidence for geometric scaling of structures with eye size. Following this assumption, we applied the Drasdo model to map perimetric stimuli on the radially displaced RGCs using two different methods: Method 1 only displaced the center of the stimuli; Method 2 applied the displacement to every point on the edge of the stimuli. We compared the accuracy of the two methods by calculating, for each stimulus, the number of expected RGC receptive fields and the number RGCs calculated from the histology map, expected to be equivalent. The same calculation was repeated on RGC density maps derived from 28 OCT scans from 28 young healthy subjects (age < 40 years) to confirm our results on clinically available measurements.
Results
The size of the retinal structures significantly increased with AL ( P < 0.001) and was well predicted by geometric scaling. Method 1 systematically underestimated the RGC counts by as much as 60%. No bias was observed with Method 2.
Conclusions
The Drasdo model can effectively account for AL assuming geometric scaling. Method 2 should be used for structure-function analyses.
Translational relevance: We developed a free web App in Shiny R to make our results available for researchers.
MeSH Terms
Shields Classification
Key Concepts5
The size of retinal structures significantly increased with axial length (P < 0.001) in 235 optical coherence tomography (OCT) scans from healthy eyes, and was well predicted by geometric scaling.
Method 1 of applying the Drasdo model, which only displaced the center of perimetric stimuli, systematically underestimated the retinal ganglion cell (RGC) counts by as much as 60% when compared to histology maps.
No bias was observed with Method 2 of applying the Drasdo model, which applied displacement to every point on the edge of perimetric stimuli, when comparing expected retinal ganglion cell (RGC) receptive fields to RGCs calculated from histology maps.
The Drasdo model can effectively account for axial length in macular structure-function analysis, assuming geometric scaling.
Method 2 of applying the Drasdo model, which applies displacement to every point on the edge of perimetric stimuli, should be used for structure-function analyses.
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