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.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Effect of oral citicoline therapy on retinal nerve fiber layer and ganglion cell-inner plexiform layer in patients with primary open angle glaucoma
    Sahin, Asena Keles
    Kapti, Hasan Burhanettin
    Uzun, Aslihan
    INTERNATIONAL JOURNAL OF OPHTHALMOLOGY, 2022, 15 (03) : 483 - 488
  • [32] Diagnostic Specificities of Retinal Nerve Fiber Layer, Optic Nerve Head, and Macular Ganglion Cell-Inner Plexiform Layer Measurements in Myopic Eyes
    Aref, Ahmad A.
    Sayyad, Fouad E.
    Mwanza, Jean-Claude
    Feuer, William J.
    Budenz, Donald L.
    JOURNAL OF GLAUCOMA, 2014, 23 (08) : 487 - 493
  • [33] Comparison of glaucoma diagnostic ability of ganglion cell-inner plexiform layer according to the range around the fovea
    Jae Ho Jung
    Je Hyun Seo
    Min Seung Kang
    Jonghoon Shin
    BMC Ophthalmology, 19
  • [34] Relationship between ganglion cell-inner plexiform layer and optic disc/retinal nerve fibre layer parameters in non-glaucomatous eyes
    Tham, Yih-Chung
    Cheung, Carol Y.
    Koh, Victor T.
    Cheng, Ching-Yu
    Sidhartha, Elizabeth
    Strouthidis, Nicholas G.
    Wong, Tien Y.
    Aung, Tin
    BRITISH JOURNAL OF OPHTHALMOLOGY, 2013, 97 (12) : 1592 - 1597
  • [35] Influence of Serum Uric Acid on Macular Choroidal Thickness and Ganglion Cell Inner Plexiform Layer Thickness
    Xiong, Kun
    Gong, Xia
    Xie, Liqiong
    Wang, Lanhua
    Guo, Xiao
    Li, Wangting
    Zhong, Pingting
    Liang, Xiaoling
    Huang, Wenyong
    Wang, Wei
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2023, 12 (05):
  • [36] Test-Retest Variability of Retinal Nerve Fiber Layer Thickness and Macular Ganglion Cell-Inner Plexiform Layer Thickness Measurements Using Spectral-Domain Optical Coherence Tomography
    Wadhwani, Meenakshi
    Bali, Shveta J.
    Satyapal, Raji
    Angmo, Dewang
    Sharma, Reetika
    Pandey, Veena
    Dada, Tanuj
    JOURNAL OF GLAUCOMA, 2015, 24 (05) : e109 - e115
  • [37] THICKNESS OF THE MACULA, RETINAL NERVE FIBER LAYER, AND GANGLION CELL-INNER PLEXIFORM LAYER IN THE AGE-RELATED MACULAR DEGENERATION The Repeatability Study of Spectral Domain Optical Coherence Tomography
    Shin, Il-Hwan
    Lee, Woo-Hyuk
    Lee, Jong-Joo
    Jo, Young-Joon
    Kim, Jung-Yeul
    RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES, 2018, 38 (02): : 253 - 262
  • [38] Retinal ganglion cell and inner plexiform layer thickness measurements in regions of severe visual field sensitivity loss in patients with glaucoma
    Moura, A. L. de A.
    Raza, A. S.
    Lazow, M. A.
    De Moraes, C. G.
    Hood, D. C.
    EYE, 2012, 26 (09) : 1188 - 1193
  • [39] Retinal ganglion cell and inner plexiform layer thickness measurements in regions of severe visual field sensitivity loss in patients with glaucoma
    A L de A Moura
    A S Raza
    M A Lazow
    C G De Moraes
    D C Hood
    Eye, 2012, 26 : 1188 - 1193
  • [40] Custom extraction of macular ganglion cell-inner plexiform layer thickness more precisely co-localizes structural measurements with visual fields test grids
    Tong, Janelle
    Alonso-Caneiro, David
    Yoshioka, Nayuta
    Kalloniatis, Michael
    Zangerl, Barbara
    SCIENTIFIC REPORTS, 2020, 10 (01)