Prediction of Retinal Ganglion Cell Counts Considering Various Displacement Methods From OCT-Derived Ganglion Cell-Inner Plexiform Layer Thickness

被引:2
|
作者
Tong, Janelle [1 ,2 ]
Phu, Jack [1 ,2 ]
Alonso-Caneiro, David [3 ]
Khuu, Sieu K. [2 ]
Kalloniatis, Michael [1 ,2 ]
机构
[1] Univ New South Wales UNSW, Ctr Eye Hlth, Sydney, NSW, Australia
[2] Univ New South Wales, Sch Optometry & Vis Sci, Sydney, NSW, Australia
[3] Queensland Univ Technol, Ctr Vis & Eye Res, Contact Lens & Visual Optic Lab, Sch Optometry & Vis Sci, Brisbane, Qld, Australia
来源
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY | 2022年 / 11卷 / 05期
基金
英国医学研究理事会;
关键词
GLAUCOMA; SENSITIVITY; MACULA; WIDE;
D O I
10.1167/tvst.11.5.13
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
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 Sjostrand 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 bymethod 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: Sjostrand 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.
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收藏
页数:14
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