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82 Atlas of glaucoma

SUMMARY OF RESULTS FOR

opportunity to objectively compare measurements

GLAUCOMA DETECTION

longitudinally in a given individual and thereby

Historically, few studies have compared the perform-

establish the progressive nature of the disease. The

high spatial resolution of these devices may allow

ance of multiple laser imaging techniques for identi-

structural changes to be measured over time that are

fying glaucoma in a single population. Comparisons

too subtle to be detected by more conventional means

within the same population are more meaningful than

such as photography. However, for a true change to

comparisons across populations (i.e. across studies)

be detected, the change needs to exceed the vari-

because the demographic characteristics, including

ability of the measurement. Measurement variability

glaucoma severity, of single-population studies are

can be calculated by obtaining multiple scans at an

controlled. Table 7.1 shows results from the only

imaging session. Change that exceeds this measure-

currently available study comparing new-generation

ment variability can then be automatically meas-

CSLO (HRT II), OCT (StratusOCT) and SLP (GDx

ured and assessed for repeatability over successive

VCC) in one population. No other published studies

imaging sessions in order to confirm that a change has

have compared two or more of these techniques, at

truly occurred. Less sophisticated change analyses

the time of writing.

simply document the amount of change from

Several studies investigating new-generation

baseline measurements by subtraction.

CSLO, OCT, SLP and RTA individually have shown

 

that all techniques can discriminate between

 

glaucomatous eyes (defined by abnormal standard

Confocal scanning laser ophthalmoscopy

automated perimetry) and healthy eyes. In addition,

The HRT II offers two methods of measuring change

studies investigating previous-generation tech-

over time: Topographic Change Analysis and stereo-

niques showed similar results for CSLO and OCT.

metric parameter change.

GDx VCC has been shown to discriminate better

 

between glaucomatous and healthy eyes and to be

 

better correlated with visual function measured with

Topographic Change Analysis

standard automated perimetry compared to the

This analysis is performed automatically once suffi-

previous-generation SLP (GDx with fixed corneal

cient examinations have been acquired (at least three

birefringence compensator). Significantly fewer

consecutive examinations are recommended). The

studies have investigated glaucoma detection using

baseline and follow-up topographies are normalized

RTA, compared to CSLO, OCT and SLP.

to each other by correcting for magnification, displace-

 

ment, rotation, and tilt between images. This process

TECHNIQUES FOR DETECTING

is independent of a reference plane or contour line.

Clusters of 4 4 adjacent pixels are combined to

CHANGE OVER TIME

create super-pixels, which are colored if there is a

An advantage of these imaging instruments is the

significant local height change. The result is the

change probability map, with red colors indicating

plethora of quantitative and reproducible data that

significantly more depression in the follow-up

can be obtained. Given the large interindividual vari-

examination – or glaucomatous progression (green

ability in the characteristics of the optic nerve head

colors indicate a significant elevation or improve-

and RNFL which renders cross-sectional diagnosis

ment). A cluster of at least 20 connected super-

of glaucoma problematic, these instruments offer the

pixels occurring in at least two or three (three is

Table 7.1 ROC curve areas and sensitivities at fixed specificities for discriminating between glaucomatous and healthy eyes using the ‘best’ (largest ROC curve area) HRT II, StratusOCT and GDx VCC parameter. Population included 75 glaucoma eyes with average standard perimetry MD –4.87 dB (SD 3.9 dB) and

66 healthy eyes

Parameter

Area under

Sensitivity/specificity (%)

 

ROC curve

 

HRT II Vertical cup/disc ratio*

0.83

59/95, 69/80

StratusOCT inferior RNFL thickness

0.92

64/95, 89/80

GDx VCC Nerve Fiber Indicator

0.91

61/97, 87/80

*HRT Moorfields Regression Analysis results performed similarly to vertical cup/disc ratio, but results are not reported because ROC curve areas and sensitivities at fixed specificities cannot be calculated for categorical variables.

 

Scanning laser imaging 83

 

 

 

 

suggested) consecutive follow-up topographies indi-

can be displayed in a diagram along the time axis

cates significant change (an error probability of 5%

(a trend analysis) (Figure 7.11).

compared to variability in the baseline topography)

 

 

 

(Figure 7.10).

Optical coherence tomography

 

Stereometric parameter change

For assessing RNFL thickness change, the StratusOCT

The stereometric parameter values can be exam-

incorporates both an ‘RNFL Thickness Change

ined for change over time. This requires a contour

Analysis’ and an ‘RNFL Thickness Serial Analysis’.

line to be placed around the optic nerve head on the

The RNFL Thickness Change Analysis graphically

baseline examination (see above). The parameter

presents the change in RNFL thickness (x-axis)

values inside that contour are then computed and

around the optic disc (shown in TSNIT format along

the contour line automatically transferred to follow-

the y-axis) between two examinations. In addition,

up examinations that are normalized to the baseline.

changes (in micrometers) for each quadrant and for

Stereometric parameter values are re-computed for

12, 30 sectors are shown as pie charts. The ‘RNFL

follow-up examinations and compared to the base-

Thickness Serial Analysis’ displays the RNFL thick-

line values. The result is the amount of change for

ness (x-axis) around the optic disc (y-axis) for up to

each parameter. The significance of a detected change

four examinations on the same axes. Both reports

can be estimated from the typical variability of the

can be used to compare RNFL thickness measure-

parameter values of about 5%. The parameter values

ments between tests over time (Figure 7.12).

Figure 7.10 HRT II Topographic Change Analysis. HRT II Topographic Change Analysis of an optic disc of a glaucoma patient over a period of 8 years, using three consecutive follow-up topographies to confirm change. The topographical map on the left is the baseline topography, with the follow-up topographies arranged chronologically to the right. Areas of significant depression in local height measurements (colored red) denote areas of the neuroretinal rim and peripapillary retina that are progressively enlarging with time. A progressively enlarging area of depression of height is seen in the temporal-inferior peripapillary area.

84 Atlas of glaucoma

Figure 7.11 HRT II Trend Analysis. HRT II Trend Analysis report of the same patient illustrated in Figure 7.10. The global, temporal-inferior and temporal-superior regions are shown for neuroretinal rim volume. A progressive reduction of rim volume in the temporal-inferior region is evident and consistent with the temporal-inferior peripapillary depression shown in Figure 7.10.

Figure 7.12 RNFL thickness change analysis. A composite figure illustrating available StratusOCT information for detecting RNFL thickness change over time. For the comparison graph, the purple curve is the first scan and the blue curve is the second. This glaucoma patient (different from that shown in Figures 7.10 and 7.11) shows some RNFL thinning superiorly, inferiorly and inferotemporally evident on the thickness change (top) and comparison thickness (bottom) graphs. The change is shown in micrometers by quadrant and 30 sector on the RNFL thickness charts. Some RNFL thickness improvement is also shown.

Scanning laser imaging 85

No change detection analyses currently are available for StratusOCT evaluation of optic disc topography or macular thickness.

line, allowing comparison of the RNFL profile over time (Figure 7.13).

Scanning laser polarimetry

The GDx VCC provides an ‘Advanced Serial Analysis’ report that displays a selection of up to four scans of the same eye chronologically, depicting the changes in RNFL with time (Figure 7.13). The report presents a Nerve Fiber Layer map, Deviation from Normal map, Difference from Baseline map, and TSNIT Parameter Table with trend analysis. The Deviation from Normal and Difference from Baseline maps are color coded to show probability of measurement compared to the normative database, and micrometer change from baseline, respectively. Additionally, a combination TSNIT graph shows the TSNIT RNFL thickness measurements at baseline and at each follow-up as a different-colored

Retinal thickness analysis

The Retinal Thickness Analyzer (RTA) system allows the clinician to generate ‘follow-up reports’ for both retinal thickness and optic disc topography. These reports are produced when a patient is scanned at least twice using the same analysis type. For optic disc topography, a cup/disc area map is shown for each consecutive scan, a deviation map illustrates areas of thickness deviation compared to the baseline thickness map, and stereometric parameters, with deviation from baseline values, are shown for each follow-up examination. Regression analysis results also are shown for all images, and changes in these results may signal glaucomatous progression (Figure 7.14).

Figure 7.13 GDx VCC Scanning Laser Polarimeter. GDx VCC Scanning Laser Polarimeter ‘Advanced Serial Analysis’ report from the same patient illustrated in Figure 7.12. The examination at the top of the report is considered the reference (baseline) measurement for the selected serial analysis. Compared to baseline, the follow-up examination shows a slight decrease in RNFL thickness, based on the Nerve Fiber Layer map (left). This decrease is reflected as an increase in the area of the image that is outside normal limits based on the Deviation from Normal map, and a corresponding area of the image showing RNFL thinning compared to the reference image (arrow on Difference from Baseline map). In addition, one more TSNIT parameter is outside normal limits (inferior average RNFL thickness), the NFI has increased from 33 to 43, the Trend Analysis indicates a slight downward slope in all parameters, and the TSNIT graph shows a slight decrease in RNFL thickness superiorly and inferiorly.

86 Atlas of glaucoma

Figure 7.14 Retinal Thickness Analyzer. A RTA glaucoma follow-up report from a healthy eye is shown for illustrative purposes. The upper figure includes the baseline disc area image, with overlying rim/cup area, and the lower figure includes the follow-up image. Potential changes in cup size would be shown on the deviation map. Deviation from baseline values for all parameters are shown in the lower right table.

SUMMARY OF RESULTS FOR

CHANGE DETECTION

Because glaucoma is a slowly progressing disease, and because the newest-generation imaging technologies described in this chapter have been in use for only a few years, no studies have yet reported the ability of HRT II, StratusOCT, GDx VCC, and RTA optic disc topography measurement to detect change over time.

One relevant study showed change over time in retinal height measurements in glaucomatous eyes using a previous version of the currently available confocal scanning laser ophthalmoscopy topographic change analysis software for the HRT. This study showed significant change in retinal height (i.e. tissue thinning) in 69% of 77 eyes followed for approximately 5 years. Significant change in visual function accompanied 27% of these eyes and tissue thinning was corroborated by assessment of stereoscopic optic disc photographs in 80% of those eyes for which stereophotographs were available.

CONCLUSIONS

Computer-based imaging techniques show considerable promise for detecting abnormalities in eyes with glaucoma. The fact that they provide objective, reproducible, quantitative measurements ondemand makes them clinically attractive. While the new-generation instruments discussed in this chapter have not been well tested for glaucoma detection, they appear to perform as well as, or better than, their predecessors. Although it is not recommended that clinical diagnoses be made based solely on measurements from these instruments, it appears obvious that the measurements obtained can supplement other available clinical information. However, clinicians need to be aware of the strengths and limitations of these techniques, including understanding the importance of good image quality, before utilizing imaging data for clinical decision-making. Finally, although these instruments appear promising for the detection of glaucomatous change over time, available scientific

Scanning laser imaging 87

data neither sufficiently support nor reject this claim. Further research is necessary to provide a

strong, evidence-based recommendation for their use in the monitoring of this disease.

Further reading

Chauhan BC, McCormick TA, Nicolela MT, LeBlanc RP. Optic disc and visual field changes in a prospective longitudinal study of patients with glaucoma: comparison of scanning laser tomography with conventional perimetry and optic disc photography. Arch Ophthalmol 2001; 119: 1492–9

Greenfield DS. Optic nerve and retinal nerve fiber layer analyzers in glaucoma. Curr Opin Ophthalmol 2002; 13: 68–76

Medeiros FA, Zangwill LM, Bowd C, Weinreb RN. Comparison of the GDx VCC scanning laser polarimeter, HRT II confocal scanning laser ophthalmoscope, and stratus OCT optical coherence tomograph for the detection of glaucoma. Arch Ophthalmol 2004; 122: 827–37

Medeiros FA, Zangwill LM, Bowd C, et al. Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness

measurements for glaucoma detection using optical coherence tomography. Am J Ophthalmol 2005; 139: 44–55

Reus NJ, Lemij HG. Diagnostic accuracy of the GDx VCC for glaucoma. Ophthalmology 2004; 111: 1860–5

Wollstein G, Garway-Heath DF, Hitchings RA. Identification of early glaucoma cases with the scanning laser ophthalmoscope. Ophthalmology 1998; 105: 1557–63

Zangwill LM, Medeiros FA, Bowd C, Weinreb RN. Optic nerve imaging: recent advances. In: Grehn F, Stamper R, eds. Glaucoma. Berlin: Springer-Verlag, 2004; 63–88

Zeimer R, Asrani S, Zou S, et al. Quantitative detection of glaucomatous damage at the posterior pole by retinal thickness mapping. A pilot study. Ophthalmology 1998; 105: 224–31

8 Psychophysical and electrophysiological testing in glaucoma: visual fields and other functional tests

Neil T Choplin

INTRODUCTION

The detection of nerve fiber loss and prevention of its development and progression is the ultimate goal of the ophthalmologist in the diagnosis and management of patients with glaucoma. At the present time, there is no proven reliable and consistent way to ‘count’ optic nerve fibers, compare the ‘count’ to known normals to determine the presence or absence of glaucomatous disease, and accurately determine whether the ‘count’ is changing over time. As axons are lost through the disease process, visual function declines in relation to the loss of fibers serving the region of the loss. Therefore, tests of optic nerve function are integral to the management of glaucoma patients as an indirect measure of the number of axons remaining.

Tests of optic nerve function can be objective or subjective. A variety of different test modalities have been investigated, looking for the ideal test that would be: (1) easy to administer; (2) mostly objective (requiring minimal decision-making or other efforts on the part of the patient); (3) highly sensitive to early loss or minimal change in the disease state; and (4) specific for glaucoma.

No objective test meeting these criteria has been found. Clinical functional testing for glaucoma consists mostly of ‘psychophysical’ tests, which by their very nature are highly subjective and susceptible to the shortcomings of human subjects. These tests require the patients to perceive something, intellectually interpret what was perceived,

remember the instructions regarding what is supposed to be said or done if the correct ‘something’ was perceived, and effect some type of verbal or motor response. Perception, memory, interpretation and action thus characterize such psychophysical tests, and can all (individually, collectively or in some combination) lead to variability in the results. This can sometimes lead to false conclusions regarding the state of the disease process and inappropriate treatment.

FUNCTIONAL TESTS IN GLAUCOMA

There is good evidence that chronic glaucoma selectively damages large optic nerve fibers, although fibers of all sizes are damaged. Functional testing, therefore, should be directed at the visual tasks subserved by these axons in an attempt to identify early damage (Table 8.1). Some investigators have shown associated functional changes attributable to the loss of large optic nerve fibers, including declines in contrast sensitivity at high spatial frequencies, loss of pattern-evoked electroretinographic responses (PERG) after death of ganglion cells, and attenuation of PERG responses for high temporal frequencies of stimulation, supporting the idea that some part of glaucoma damage involves loss of the function of these large-diameter nerve fibers. Other investigators have suggested that the PERG may be helpful in identifying patients with ocular hypertension who will develop signs of glaucoma.

89

90 Atlas of glaucoma

Table 8.1 Functional tests other than standard visual fields that have been used for glaucoma. Many different electrophysiological and psychophysical tests have been investigated in glaucoma, particularly in an attempt to identify early damage or risk factors for development or progression of damage. This table lists the various modalities that have been investigated, how they are performed, what they measure and what the findings are in glaucoma patients

Test name

Objective or

How performed

What it measures

Findings in

Reference

 

subjective

 

 

glaucoma

 

Central contrast

Subjective

Low-contrast

Minimum differ-

Mean thresholds

Atkin et al.,

sensitivity

 

flickering stimuli

ence in luminance

were lower than

1979; 1980

 

 

presented to the

between stimulus

normal controls.

 

 

 

central four

and background of

Some ocular hyper-

 

 

 

degrees

a flickering

tensive patients

 

 

 

 

stimulus

also show reduction

 

 

 

 

 

in threshold

 

Temporal contrast

Subjective

Stimulus of

Intensity of stimu-

Frequency-specific

Breton

sensitivity

 

increasing

lus required to

loss at 15 Hz, non-

et al., 1991

 

 

frequency of

perceive flicker at

frequency specific

 

 

 

flicker presented

each presented

mean sensitivity

 

 

 

to the fovea

flicker frequency

loss greater in

 

 

 

 

 

glaucoma patients

 

 

 

 

 

than suspects

 

Pattern-evoked

Objective

Reversing

Waveform gener-

Second negative

Trick, 1985;

electro-retinographic

 

checkerboard

ated, latencies of

wave selectively

Weinstein

responses (PERG)

 

pattern presented

responses and

depressed in

et al., 1988

 

 

on a television

amplitudes for

patients with glau-

 

 

 

screen at varying

each wave compo-

coma. Some ocular

 

 

 

contrast while

nent

hypertensives

 

 

 

standard ERG

 

showed similar

 

 

 

measurements

 

responses

 

 

 

are obtained

 

 

 

Contrast sensitivity

Subjective

Patient views

Ability to detect

Decreased contrast

Nadler

 

 

figures of decreas-

correct orientation

acuity in glaucoma

et al., 1990

 

 

ing contrast at

of stripe pattern as

patients, particu-

 

 

 

multiple spatial

contrast

larly at high spatial

 

 

 

frequencies and

decreases

frequencies

 

 

 

identifies orienta-

 

 

 

 

 

tion of stripe

 

 

 

 

 

pattern

 

 

 

Color vision

Subjective

Farnsworth–

Defects in color

Blue-yellow defects

Sample

 

 

Munsell 100 Hue

vision

may occur early in

et al., 1986

 

 

Test, Farnsworth

 

glaucoma, red-

 

 

 

D-15 Test, Nagel or

 

green defects

 

 

 

Pickford–Nicholson

 

appear with

 

 

 

anomaloscope

 

advanced optic

 

 

 

 

 

neuropathy

 

Color contrast sen-

Subjective

Computer-driven

Color contrast

Sensitivity to blue

Gunduz

sitivity

 

color television

threshold as a

and red lights (rela-

et al., 1988

 

 

system

fraction of the

tive to green) sig-

 

 

 

 

maximum color

nificantly less than

 

 

 

 

available for color

controls

 

 

 

 

combinations on

 

 

 

 

 

each color axis

 

 

 

 

 

 

 

 

Psychophysical and electrophysiological testing in glaucoma 91

Test name

Objective or

How performed

 

subjective

 

Scotopic retinal

Subjective

Patient dark

sensitivity

 

adapted then pre-

 

 

sented with flicker-

 

 

ing stimulus

 

 

increasing in lumi-

 

 

nance until seen

Flicker perimetry

Subjective

Static visual field

 

 

testing performed

 

 

with target flicker-

 

 

ing at 25

 

 

flashes/second

Flicker visual-

Objective

Standard VEP

evoked potential

 

recording while

 

 

viewing a flickering

 

 

stimulus of varying

 

 

frequency

Color pattern-

Objective

Standard VEP

reversal visual-

 

recording while

evoked potential

 

viewing a reversing

 

 

checkerboard of

 

 

black-white, black-

 

 

red or black-blue

Visual-evoked

Objective

Standard VEP

potentials after

 

measurement

photostress

 

before and follow-

 

 

ing 30 seconds of

 

 

photostress

High-pass reso-

Subjective

Rings of varying

lution perimetry

 

size presented to

 

 

peripheral retina,

 

 

patient indicates

 

 

seen or not seen

What it measures

Findings in

Reference

 

glaucoma

 

Sensitivity of dark-

Reduction in absolute

Glovinsky

adapted retina to

whole-field retinal

et al., 1992

a flashing light

sensitivity

 

Threshold for tar-

Flicker threshold ele-

Feghali

get luminance

vated in glaucoma

et al., 1991

against constant

patients compared to

 

background

normals but not com-

 

 

pared to nonflickering

 

 

stimulus

 

Amplitude and

Glaucoma patients

Schmeisser

phase responses

showed amplitude loss

et al., 1992

of VEP

at high flicker frequen-

 

 

cies, correlating with

 

 

visual field damage

 

P1-wave peak

Glaucoma and ocular

Shih et al.,

time and ampli-

hypertensives showed

1991

tude for each pat-

significant decreases

 

tern

in the measured

 

 

parameters compared

 

 

to normal, especially

 

 

to the black-red and

 

 

black-blue checker-

 

 

boards

 

Time for VEP

Longer VEP recovery

Parisi and

recording to return

time required for glau-

Bucci, 1992

to prestress

coma patients with

 

baseline

intermediate values in

 

 

ocular hypertensives

 

 

compared to normals

 

'Ring' threshold,

Similar to standard

Sample

peripheral visual

perimetry except that

et al., 1992

acuity

target size, rather

 

 

than luminance, is the

 

 

variable

 

Blue-on-yellow

Subjective

Modified auto-

Visual field

Abnormalities to

Johnson

perimetry (short-

 

mated static

thresholds to blue

blue-on-yellow may

et al.,

wavelength auto-

 

threshold perimeter

stimuli on a yellow

precede those to

1993a;

mated perimetry

 

with yellow back-

background

standard

1993b

or SWAP)

 

ground and blue

 

white-on-white and

 

 

 

projected stimuli

 

may predict which

 

 

 

 

 

patients will develop

 

 

 

 

 

loss or progress

 

Multifocal visual-

Objective

Standard VEP

P1-wave peak

Decreased amplitude

Goldberg

evoked

 

recording while

time and ampli-

in a cluster of 3 test

et al., 2002

potentials

 

viewing a reversing

tude for each

locations

 

 

 

white-black

location

 

 

 

 

checkerboard

 

 

 

 

 

which tests 60

 

 

 

 

 

locations simulta-

 

 

 

 

 

neously

 

 

 

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