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A

Figure 4-19. Short-wavelength automated perimetry (SWAP) may confirm the absence of defects seen on standard white-on-white perimetry (A, B).

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Automated Perimetry in Glaucoma

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B

Figure 4-19. (Continued)

4-6-1-4 Ring Perimetry. High-pass resolution perimetry uses circular targets of varying sizes that consist of a white center with a dark annular margin presented on a white background to selectively stimulate parvocellular ganglion cells (Figure 4-22). The test is rapid, has been well received by patients, and is comparable in sensitivity to conventional perimetry for glaucoma diagnosis. Longitudinal data regarding disease progression are presently lacking.49–51

168 Visual Fields

4-6-1-5 Motion P. Motion automated perimetry (MAP) stimulates magnocellular ganglion cells by presenting simultaneous, random movement of a circular group of dots against a background of stationary dots. The threshold is determined by progressively decreasing the size of the group of dots. While not widely used, motion perimetry has been shown to detect glaucomatous damage earlier than white-on-white perimetry and has the advantage of being less affected by refractive error.52,53 In addition, motion perimetry has been successfully incorporated into a laptop computer for glaucoma screening in developing countries.54

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4-6-1-6 Pattern Perimetry. Pattern-discrimination perimetry alters the conventional uniform white background to a pattern of moving random noise. The stimulus itself is a checkerboard-pattern square presented in a quadrant of the field. The coherence of the checkerboard is adjusted from 100% (a pure checkerboard) to 0% (random noise) using a staircase technique until the threshold is reached. As with many of the new techniques, pattern-discrimination perimetry appears to be more sensitive than conventional stimuli, although standardization of the technique and its specificity remain unestablished.55, 56

4-6-1-7 Color Perimetry. Although not commercially available, tests of peripheral color contrast attempt to exploit the reduced spectral contrast sensitivity found in arcuate regions in early glaucoma. The test presents modified Landolt Cs in each quadrant, gradually reducing the spectral contrast until the target orientation is not identified. Testing the tritan axis appears to be most efficient. Studies have shown this test to be extremely sensitive and quite specific when normal patients are compared with patients who have glaucomatous loss as determined by conventional perimetry. The test may be amenable to presentation on relatively inexpensive

A

Figure 4-20. Short-wavelength automated perimetry (SWAP)may also help to identify early depression in Bjerrum’s zone in a patient with early glaucomatous optic neuropathy (A-C).

Automated Perimetry in Glaucoma

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B

Figure 4-20. (Continued)

color monitors if background conditions and luminance can be standardized; the test would be useful for large-scale population screening. Longitudinal data are currently lacking.57

4-6-2 Altered Strategies. Several areas of research currently under way retain the conventional white-on-white stimulus but attempt to increase the efficiency of stimulus presentation. One technique uses posterior probability estimation with a

C

Figure 4-20. (Continued)

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Automated Perimetry in Glaucoma

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A

Figure 4-21. Humphrey Matrix 24-2 (A) demonstrates confluent central and paracentral field loss. Follow-up testing with SITA Standard white-on-white perimetry (B) provides greater detail of the visual field defects.

priori knowledge about normal and abnormal fields to determine the appropriate next stimulus intensity.58 An additional advantage of this technique is the ability to determine false-positive and false-negative answers from the actual threshold process.59

4-6-3 Interpretive Aids. A final active area of research uses conventional stimuli and presentation strategies but expands the statistical manipulation of the raw data. Examples include using neural networks that have been trained to recognize visual field abnormality or progression.60,61 Another recent advance suggests comparing mean deviation slope over time with the general height index (currently not an available index) over time to differentiate progressive cataract formation from

172 Visual Fields

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B

Figure 4-21. (Continued)

progressive glaucoma.62 Pointwise regression analysis of serial fields has been described by Fitzke and colleagues (Program Progressor)63,64 and Weber and Krieglstein (Graphical Analysis of Topographical Trends).65 These techniques identify both location and statistical significance as well as rate of change. Spatial filtering technique and cluster analysis also attempt to minimize the influence of LTF and improve the sensitivity for detecting scotomas or their progression.66

Automated Perimetry in Glaucoma

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Figure 4-22. High pass resolution perimetry uses progressively smaller circular targets to rapidly and reliably identify field defects.

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