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Published VersionCC BY-NC-ND V4.0, Open Access
Journal article
Prediction of Retinal Ganglion Cell Counts Considering Various Displacement Methods From OCT-Derived Ganglion Cell-Inner Plexiform Layer Thickness
Translational Vision Science & Technology, Vol.11(5), pp.1-14
2022
PMID: 35575777
Abstract
Purpose: To compare various displacement models using midget retinal ganglion cell to cone (mRGC:C) ratios and to determine viability of estimating RGC counts from optical coherence tomography (OCT)–derived ganglion cell–inner plexiform layer (GCIPL) measurements.
Methods: Four Drasdo model variations were applied to macular visual field (VF) stimulus locations: (1) using meridian-specific Henle fiber length along the stimulus circumference; (2) using meridian-specific differences in RGC receptive field and counts along the stimulus circumference; (3) per method (2), averaged across principal meridians; and (4) per method (3), with the stimulus center displaced only. The Sjöstrand model was applied (5) along the stimulus circumference and (6) to the stimulus center only. Eccentricity-dependent mRGC:C ratios were computed over displaced areas, with comparisons to previous models using sum of squares of the residuals (SSR) and root mean square error (RMSE). RGC counts estimated from OCT-derived ganglion cell layer (GCL) and GCIPL measurements, from 143 healthy participants, were compared using Bland–Altman analyses.
Results: Methods 1, 2, and 5 produced mRGC:C ratios most consistent with previous models (SSR 3.82, 4.07, and 3.02; RMSE 0.22, 0.23, and 0.20), while central mRGC:C ratios were overestimated by method 3 and underestimated by methods 4 and 6. RGC counts predicted from GCIPL measurements were within 16% of GCL-based counts, with no notable bias with increasing RGC counts.
Conclusions: Sjöstrand displacement and meridian-specific Drasdo displacement applied to VF stimulus circumferences produce mRGC:C ratios consistent with previous models. RGC counts can be estimated from OCT-derived GCIPL measurements.
Translational Relevance: Implementing appropriate displacement methods and deriving RGC estimates from relevant OCT parameters enables calculation of the number of RGCs responding to VF stimuli from commercial instrumentation.
Details
- Title
- Prediction of Retinal Ganglion Cell Counts Considering Various Displacement Methods From OCT-Derived Ganglion Cell-Inner Plexiform Layer Thickness
- Authors
- Janelle Tong (Author) - UNSW SydneyJack Phu (Author) - UNSW SydneyDavid Alonso-Caneiro (Author) - Queensland University of TechnologySieu K Khuu (Author) - UNSW SydneyMichael Kalloniatis (Corresponding Author) - UNSW Sydney
- Publication details
- Translational Vision Science & Technology, Vol.11(5), pp.1-14
- Publisher
- Association for Research in Vision and Ophthalmology
- Date published
- 2022
- DOI
- 10.1167/tvst.11.5.13
- ISSN
- 2164-2591
- PMID
- 35575777
- Copyright note
- This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99972394502621
- Output Type
- Journal article
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- Ophthalmology
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