Glaucoma Imaging: Optic Nerve Head, Peripapillary, and Macular Regions



Glaucoma Imaging: Optic Nerve Head, Peripapillary, and Macular Regions


Zinaria Y. W. Liu

Fabio Lavinsky

Gadi Wollstein

Kimberly V. Miller

Joel S. Schuman



INTRODUCTION

Glaucoma is the leading cause of irreversible blindness globally. It is estimated that the prevalence of glaucoma will increase to over 110 million in 2040.1 It may occur in any age group, but is common especially after 40 years of age. Elevated intraocular pressure is the most important causal risk factor for glaucoma, but high intraocular pressure is not necessary for glaucomatous damage to occur. The physical impact of glaucomatous optic neuropathy includes an irreversible loss of retinal ganglion cells that is clinically manifested as optic nerve head (ONH) cupping and localized or diffuse defects of the retinal nerve fiber layer (RNFL). Because glaucomatous damage is irreversible but largely preventable, early and accurate diagnosis and progression detection are important.



REFERENCE

1. Tham YC, Li X, Wong TY, Quigley HA, Aung T, Cheng CY. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis.. Ophthalmology. 2014;121:2081-2090.



FUNCTIONAL TESTS

Evaluation of the optic nerve and nerve fiber layer includes examinations that test their structure and function. Glaucomatous retinal ganglion cell loss results structurally in RNFL and optic nerve defects, and functionally in visual field changes that can be assessed by automated perimetry and electrophysiology testing. Glaucomatous visual field defects include nasal steps, arcuate defects, localized paracentral scotomas, and, more uncommonly, temporal defects (Fig. 7-1). The most common location of visual field defects related to glaucoma is within an arcuate area commonly referred to as Bjerrum’s region, which extends from the blind spot to the median raphe.






FIGURE 7-1. Visual field defects. A. Arcuate defect in Bjerrum’s region. B. Double arcuate defect. C. Paracentral scotomas. D. Temporal wedge defect. (Adapted with permission from Epstein DL. Chandler and Grant’s Glaucoma. 4th ed. Baltimore, MD: Williams & Wilkins; 1997.)



AUTOMATED PERIMETRY

Standard automated perimeters (SAPs) test the visual field by presenting static stimuli of constant size and varying light intensity at specific locations for a short period of time while recording the patient’s response at each location. The Humphrey field analyzer 24-2 standard achromatic examination (Humphrey Systems, Dublin, CA) uses a white stimulus with white background illumination; similar programs are present on other automated perimeters. Standard achromatic automated perimetry, along with clinical examination, has been the gold standard for following glaucoma; however, this automated testing strategy is time consuming, often resulting in patient fatigue and patient errors with high short-term and long-term variability. Advances in automated perimetry have aimed at reducing testing time and at developing strategies for earlier detection of visual damage in glaucoma. The SAP provides global indexes, such as the mean deviation, pattern standard deviation, and visual field index that are commonly used for diagnosis and monitoring disease progression. Glaucoma hemifield test is a parameter that compares specified regions of the visual field above and below the horizontal midline1 (Fig. 7-2). These parameters are present in most automated perimeters.

The most commonly used test strategy is the Swedish interactive threshold algorithms (SITAs; Figs. 7-3 and 7-4). SITA uses information gained throughout the program to determine the threshold strategy for adjacent points. This allowed shortening the test duration in comparison with earlier iteration of the test without scarifying test reliability.2,3






FIGURE 7-2. Glaucoma hemifield testing. Superior visual field zones used in the glaucoma hemifield test. Each zone is compared with its mirror zone below the horizontal meridian. Numbers 1 to 5 refers to the zones of the GHT. (Adapted with permission from Epstein DL. Chandler and Grant’s Glaucoma. 4th ed. Baltimore, MD: Williams & Wilkins; 1997.)







FIGURE 7-3. Healthy eye. A. Optic nerve head photograph. B. Normal Swedish interactive threshold algorithm visual field.







FIGURE 7-4. Glaucomatous eye. A. Optic nerve head photograph of an eye with glaucoma. B. Swedish interactive threshold algorithm visual field showing a superior arcuate scotoma and an inferior nasal step.




REFERENCES

1. Asman P, Heijl A. Glaucoma hemifield test. Automated visual field evaluation. Arch Ophthalmol. 1992;110:812-819.

2. Bengtsson B, Olsson J, Heijl A, Rootzen H. A new generation of algorithms for computerized threshold perimetry, SITA. Acta Ophthalmol Scand. 1997;75:368-375.

3. Bengtsson B, Heijl A, Olsson J. Evaluation of a new threshold visual field strategy, SITA, in normal subjects. Swedish interactive thresholding algorithm. Acta Ophthalmol Scand. 1998;76:165-169.


ACKNOWLEDGMENTS

Supported in part by NIH R01-EY13178.


GLAUCOMA PROGRESSION ANALYSIS

Guided progression analysis (GPA) is progression analysis technique available in the Humphrey visual field report.1,2 GPA includes both event- and trend-based analysis to identify progression (Fig. 7-5). Event-based analysis identifies a point as progressing when it changed from the level at the baseline tests beyond the change that was detected in the population. Trend analysis is using linear regression to determine if the slope at any visit exceeds the no progression rate. When the change occurs in the same location over two consecutive tests, the GPA flags “possible progression.” “Likely progression” is flagged when change is detected in three consecutive tests.


When to Use Guided Progression Analysis

• GPA is useful for longitudinal evaluation of subjects with glaucoma and glaucoma suspects.


Limitations

• Points that are depressed beyond the range of the GPA analysis software are identified with an “x.” Such points are not used in the analysis and if progression is occurring at an “x”-labeled point, GPA will not demonstrate it.



REFERENCES

1. Bengtsson B, Heijl A. A visual field index for calculation of glaucoma rate of progression. Am J Ophthalmol. 2008;145:343-353.

2. De Moraes CG, Liebmann JM, Levin LA. Detection and measurement of clinically meaningful visual field progression in clinical trials for glaucoma. Prog Retin Eye Res. 2017;56:107-147.







FIGURE 7-5. Guided progression analysis of a glaucomatous eye showing likely progression at the last visit (B) when compared with the baseline examinations (A). Trend analysis (C) showing a significant slope of progression over time and projected progression.



ELECTROPHYSIOLOGY TESTS

The functional evaluation of glaucoma is prone to important limitations, such as subjectivity and marked variability. Electrophysiology tests eliminate most of these shortcomings and provide an objective testing. Devices such as pattern electroretinogram can assess the ganglion cell layer and inner retina; electroretinogram assesses the retinal function and visual evoked potential of the entire visual pathway1,2,3 (Figs. 7-6 and 7-7). Glaucoma is predominantly a disease of localized damage; thus, multifocal electrophysiology modalities that evaluate specific areas in the retina offer a better potential for correspondence with structural evaluation of the retina. To this date, despite the high diagnostic potential, no electrophysiology examination has been incorporated into the standard clinical practice of glaucoma.4



REFERENCES

1. Hood DC. Objective measurement of visual function in glaucoma. Curr Opin Ophthalmol. 2003;14:78-82.

2. Parisi V, Manni G, Centofanti M, et al. Correlation between optical coherence tomography, pattern electroretinogram and visual evoked potentials in open-angle glaucoma. Ophthalmology. 2001;108:905-912.

3. Bach M, Poloscheck CM. Electrophysiology and glaucoma: current status and future challenges. Cell Tissue Res. 2013;353:287-296.

4. Lucy KA, Wollstein G. Structural and functional evaluations for the early detection of glaucoma. Expert Rev Ophthalmol. 2016;11:367-376.







FIGURE 7-6. Multifocal electroretinogram (mfERG). Schematic display of the mfERG showing stimulus array, the response trace array, and three- and two-dimensional plots. (Courtesy of Erich Sutter, PhD, Electro-Diagnostic Imaging, San Mateo, CA.)







FIGURE 7-7. Multifocal visual evoked potential (mfVEP). A. Stimulus and response array of a normal mfVEP. B. Diagram of electrode placements above and lateral to the inion. (A and B, Courtesy of Erich Sutter, PhD, Electro-Diagnostic Imaging, San Mateo, CA.)

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May 4, 2019 | Posted by in OPHTHALMOLOGY | Comments Off on Glaucoma Imaging: Optic Nerve Head, Peripapillary, and Macular Regions

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