5. Factors affecting threshold: Instrument Factors

Instrument Factors

  • Thresholds in visual field testing are influenced by both the instrument and the patient.

  • Important to differentiate reduced sensitivity due to pathology from reductions caused by patient (physiological) or instrument variables.

Background Luminance

  • Sensitivity depends on background illumination according to Weber's Law.

    • Weber's Law: ΔII=k\frac{\Delta I}{I}=k where (I) is background luminance and (\Delta I) is the just-noticeable change in luminance.

  • Background luminance values used in practice:

    • Humphrey perimetry: Ibg31.5 asbI_{bg} \approx 31.5\ \text{asb}

    • Medmont: Ibg10 asbI_{bg} \approx 10\ \text{asb}

    • This difference corresponds to a ~3.15×3.15\times difference in background intensity.

  • Both are in the photopic range.

Stimulus Size

  • Visual field sensitivity varies with stimulus size, described by Ricco's Law.

    • Ricco's Law (small stimuli): for small stimulus areas, the product of stimulus luminance and stimulus area at threshold is constant.

    • In formula form: LA=CL\cdot A = C for a given threshold, where (L) is luminance and (A) is stimulus area; this holds up to a critical area.

  • Practical implication: stimulus size affects detectability and measured sensitivity.

  • Hill of vision has a higher peak but at lower sensitivity for smaller stimulus size.

Stimulus Size – Goldmann Sizes I–V

  • Goldmann stimulus sizes and their approximate physical properties:

    • I: Area 0.1 mm20.1\ \text{mm}^2; Degrees 0.10.1^{\circ}

    • II: Area 0.2 mm20.2\ \text{mm}^2; Degrees 0.20.2^{\circ}

    • III: Area 0.43 mm20.43\ \text{mm}^2; Degrees 0.430.43^{\circ}

    • IV: Area 0.8 mm20.8\ \text{mm}^2; Degrees 0.80.8^{\circ}

    • V: Area 1.7 mm21.7\ \text{mm}^2; Degrees 1.71.7^{\circ}

  • Goldmann size notation is a standard way to specify stimulus size in perimetry

  • Size III is standard size (most commonly used for normative data)

Stimulus Size – Advantages of Small Stimuli

  • Small stimuli provide higher spatial resolution, making it easier to detect small defects.

  • When used with a finer testing grid, small stimuli (e.g., Size III vs Size I) improve defect localization and mapping.

  • The accompanying figure (from the source) contrasts results using different sizes, illustrating how small targets can reveal subtle defects earlier.

Stimulus Size – Large Stimuli Advantages

  • Large stimuli yield advantages such as:

    • Defocus has less effect on detection

    • Greater dynamic range for detecting defects

    • better representation of px view / functional range.

Stimulus Size – Large vs Small: practical takeaway

  • Smaller stimuli improve resolution and defect detection on finer grids.

  • Larger stimuli provide more robustness to defocus and yield broader dynamic ranges for detecting defects.

Short Wavelength Automated Perimetry (SWAP)

  • SWAP targets the koniocellular pathway by stimulating short-wavelength (blue) cones.

  • Key characteristics:

    • Targets the koniocellular pathway projecting from blue-on cells in the retina.

    • Temporal and spatial properties differ from the parvocellular pathway tested by White-on-White perimetry (SAP).

    • Topography of SWAP fields is different from SAP fields.

  • Test stimulus and background:

    • Uses a large blue target (size V).

    • Peak wavelength: 440nm440\,\text{nm} to stimulate SWS cones.

    • Background is bright yellow: 100 cd/m2100\ \text{cd/m}^2.

    • Targets are larger due to the lower stimulus brightness and to test koniocellular ganglion cells.

  • Isolation of B pathway:

    • SWAP saturates G (green), R (red) and rod pathways to isolate the B (koniocellular) pathway.

  • Availability:

    • Implemented on some Humphrey Field Analyzers (HFA), plus Oculus and Octopus models.

SWAP – Early clinical observations

  • Early reports suggested:

    • Up to 50%50\% of optic nerves are lost before field defects manifest on SAP.

    • SWAP reveals deeper VF defects in glaucoma patients than SAP.

    • SWAP defects may precede SAP defects by 35 years3-5\ years.

    • SWAP defects can be predictive of the onset and location of future SAP field loss.

SWAP – Case examples and interpretation

  • Case where SWAP shows a defect with SAP normal (illustrative): SWAP defect can exist even when SAP is normal, highlighting SWAP's potential for earlier detection.

  • Example data (from a single-field SWAP case)

    • Example results include pattern deviation (PD) and total deviation (TD) metrics with fixation monitoring and fixation losses (often 0/12 or similar).

    • SWAP data often include PSD (pattern standard deviation) and MD (mean deviation) values that help quantify defect severity.

SWAP – Practical considerations and limitations

  • Advantages:

    • Ability of SWAP to detect defects earlier explained by the reduced redundancy theory

    • Relatively few koniocellular cells (<15% of cell population)

    • Hence there is less redundancy that can potentially mask VF defects

    • Some studies have reported that SWAP is useful in identifying VF defects due to diabetic retinopathy, macular oedema and neuro ophthalmological disorders

    • SITA-Swap now available

      • 3-6 minute test time > 1/3 faster than standard SWAP

  • Disadvantages:

    • Affected by media opacities (e.g., lens opacities/cataracts).

    • Higher within- and between-observer variability compared with SAP.

  • 10-2 SWAP testing: Some evidence suggests SWAP 10-2 could be useful for detecting paracentral (central) defects in pre-perimetric glaucoma.

    • Jung et al. (2015) cited.

Frequency Doubling Perimetry (FDT)

  • Purpose and mechanism:

    • Function-specific test that isolates a subpopulation of retinal ganglion cells (primarily magnocellular, M-cells) to identify early visual field defects.

    • Uses a frequency-doubling illusion: a low spatial frequency sine grating (<1 cycle/degree) flickering in counter-phase at a high temporal frequency (>15 Hz).

      • flickering target rather than a spot target.

    • Spatial frequency appears doubled, yielding a high-contrast detection task for M-cells (3%–9% contrast).

    • Evidence suggests M-cells are damaged first in glaucoma.

  • Test design and stimuli:

    • Uses patterns similar to Humphrey Field Analyzer (30-2, 24-2, 10-2, and macula threshold).

    • Patient responds to flicker of black-white bars rather than the mere presence of a stimulus.

  • Reliability and indices:

    • Reliability indices include fixation monitoring (Heijl-Krakau method), false positives (FP), and false negatives (FN).

    • Age-matched indices: MD, PSD, GHT (glaucomatous hemifield test).

  • ADVANTAGE:

    • Due to low spatial frequency stimuli, FDT sensitivity is not affected by optical blur (even with higher ametropia, roughly ±6 diopters), pupil size, or ambient illumination.

FDT – Test patterns and results

  • Common test patterns include: 30-2, 24-2, 10-2, and macula threshold.

  • Test duration and efficiency:

    • FDT uses a rapid Bayesian-like algorithm (Zippy estimates of sequential testing) to reduce test time to about 4 minutes

  • Normative database:

    • Includes about 270270 individuals aged 1818 to 8585 years.

  • Efficacy in glaucoma detection:

    • Studies indicate FDT 24-2 is superior for detecting glaucomatous field loss, especially in early disease

    • but may be less reliable for detecting neurological defects

  • Comparative spatial characterization:

    • Some studies (e.g., Matrix 30-2) suggest improvements in spatial pattern characterization over standard FDT 30-2.

FDT – Practical conclusion

  • FDT perimetry is useful for detecting glaucomatous visual field changes, particularly in early disease, but it may be less reliable for identifying neurological defects.