Comparison of Ganglion Cell Layer and Inner Plexiform Layer Rates of Change in Suspected and Established Glaucoma

Mohammadi, Massood; Su, Erica; Chew, Leila; Mohammadzadeh, Vahid; Weiss, Robert E.; Nouri‐Mahdavi, Kouros

doi:10.1016/j.ajo.2022.12.008

American Journal of Ophthalmology

2023

DOI: 10.1016/j.ajo.2022.12.008

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Comparison of Ganglion Cell Layer and Inner Plexiform Layer Rates of Change in Suspected and Established Glaucoma

Massood Mohammadi

Erica Su

Leila Chew

et al.

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Cited by 5 publications

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“…However, an analogous analysis of OCT data has not been completed. Although LMMs have been commonly used with OCT data, 9 , 10 , 11 improved performance compared with traditional OLS has not been clearly demonstrated. It is unknown if the LG model would be beneficial when assessing glaucomatous progression with OCT data.…”

mentioning

confidence: 99%

Performance of Linear Mixed Models in Estimating Structural Rates of Glaucoma Progression Using Varied Random Effect Distributions

Swaminathan,

Berchuck,

Rao

et al. 2024

Ophthalmology Science

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mentioning

confidence: 99%

Performance of Linear Mixed Models in Estimating Structural Rates of Glaucoma Progression Using Varied Random Effect Distributions

Swaminathan,

Berchuck,

Rao

et al. 2024

Ophthalmology Science

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Understanding Patterns of Preserved Retinal Ganglion Cell Layer in Advanced Glaucoma as Seen With Optical Coherence Tomography

Sun,

Gomide,

Tsamis

et al. 2024

Journal of Glaucoma

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Precis: Using OCT, eyes with advanced glaucoma were found to have a wide range of patterns of damage that were consistent with the natural history of progression based upon a model of macular progression. Purpose: To understand the patterns of preserved retinal ganglion cells in eyes with advanced glaucoma using OCT and a model of progression of the central macula. Methods: OCT GCL thickness was measured in 94 eyes with advanced glaucoma, defined as glaucomatous eyes with a 24-2 MD (mean deviation) worse than −12 dB. A commercial report supplied the GCL thickness in 6 sectors of the thick, donut-shaped GCL region around the fovea. For each eye, the 6 sectors were coded as green (within normal limits, WNL), yellow (≤5th, ≥1st percentile), or red (<1st percentile). Results: In all 94 eyes, one or more of the 6 sectors of the donut were abnormal (red or yellow), while all 6 sectors were red in 52 (55%) of the eyes. On the other hand, 33 eyes had one or more sectors WNL (green). While the pattern of donut damage varied widely across these 33 eyes, 61 of the 66 hemiretinas were consistent with a temporal-to-nasal progression of damage within each hemiretina as predicted by our model. Conclusion: All eyes with advanced glaucoma had damage to the critically important central, donut-shaped GCL region. This region showed a wide range of patterns of damage, but these patterns were consistent with the natural history of progression based upon a model of macular progression. These results have implications for the clinical identification of macular progression, as well as for inclusion criteria for clinical trials seeking to preserve central macular function.

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A Model of Progression to Help Identify Macular Damage Due to Glaucoma

Hood,

La Bruna,

Leshno

et al. 2023

Invest. Ophthalmol. Vis. Sci.

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The central macula contains a thick donut shaped region of the ganglion cell layer (GCL) that surrounds the fovea. This region, which is about 12 degrees (3.5 mm) in diameter, is essential for everyday functions such as driving, reading, and face recognition. Here, we describe a model of progression of glaucomatous damage to this GCL donut. This model is based upon assumptions supported by the literature, and it predicts the patterns of glaucomatous damage to the GCL donut, as seen with optical coherence tomography (OCT). After describing the assumptions and predictions of this model, we test the model against data from our laboratory, as well as from the literature. Finally, three uses of the model are illustrated. One, it provides an aid to help clinicians focus on the essential central macula and to alert them to look for other, non-glaucomatous causes, when the GCL damage does not fit the pattern predicted by the model. Second, the patterns of progression predicted by the model suggest alternative end points for clinical trials. Finally, the model provides a heuristic for future research concerning the anatomic basis of glaucomatous damage.

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Comparison of Ganglion Cell Layer and Inner Plexiform Layer Rates of Change in Suspected and Established Glaucoma

Cited by 5 publications

References 32 publications

Performance of Linear Mixed Models in Estimating Structural Rates of Glaucoma Progression Using Varied Random Effect Distributions

Performance of Linear Mixed Models in Estimating Structural Rates of Glaucoma Progression Using Varied Random Effect Distributions

Understanding Patterns of Preserved Retinal Ganglion Cell Layer in Advanced Glaucoma as Seen With Optical Coherence Tomography

A Model of Progression to Help Identify Macular Damage Due to Glaucoma

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