Static and Kinetic Visual Field Testing

Parrish, Richard K.; Schiffman, Joyce C.; Anderson, Douglas R.

doi:10.1001/archopht.1984.01040031217021

Cited by 69 publications

(7 citation statements)

References 12 publications

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“…All examinations and retest data are based on many factors, including time of day, training, fatigue, attention, room temperature, and the technician. 29 , 39 Learning effects 42 were found to be more pronounced in the peripheral VF than in the paracentral regions. 39 Although Drance et al 19 found no significant learning effect in his series, others have concluded that learning effects occur and may interfere with correct interpretation of series of follow-up VFs.…”

Section: Discussionmentioning

confidence: 89%

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Normal Values for the Full Visual Field, Corrected for Age- and Reaction Time, Using Semiautomated Kinetic Testing on the Octopus 900 Perimeter

Grobbel

Dietzsch

Johnson

et al. 2016

Trans. Vis. Sci. Tech.

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PurposeTo determine normal values of the visual field (VF), corrected for age and reaction time (RT) for semiautomated kinetic perimetry (SKP) on the Octopus 900 perimeter, create a model describing the age-dependency of these values, and assess test–retest reliability for each isopter.MethodsEighty-six eyes of 86 ophthalmologically healthy subjects (age 11–79 years, 34 males, 52 females) underwent full-field kinetic perimetry with the Octopus 900 instrument. Stimulus size, luminance, velocity, meridional angle, subject age, and their interactions, were used to create a smooth multiple regression mathematical model (V/4e, III/4e, I/4e, I/3e, I/2e, I/1e, and I/1a isopters). Fourteen subjects (2 from each of 7 age groups) were evaluated on three separate sessions to assess test–retest reliability of the isopters. Reaction time (RT) was tested by presenting 12 designated RT-vectors between 10° and 20° within the seeing areas for the III/4e isopter (stimulus velocity, 3°/second). Four RT- vectors were presented at the nasal (0° or 180°), superotemporal (45°), and inferior (270°) meridians.ResultsThe model fit was excellent (r2 = 0.94). The test–retest variability was less than 5°, and the median decrease in this deviation attributed to aging, per decade, for all age groups and for all stimulus sizes was 0.8°. No significant learning effect was observed for any age group or isopter.ConclusionAge-corrected and RT-corrected normative threshold values for full-field kinetic perimetry can be adequately described by a smooth multiple linear regression mathematical model.Translational RelevanceA description of the entire kinetic VF is useful for assessing a full characterization of VF sensitivity, determining function losses associated with ocular and neurologic diseases, and for providing a more comprehensive analysis of structure–function relationships.

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Section: Discussionmentioning

confidence: 89%

“… 39 Although Drance et al 19 found no significant learning effect in his series, others have concluded that learning effects occur and may interfere with correct interpretation of series of follow-up VFs. 42 Test–retest reliability overall was less than 1.2° was measured by Schiefer et al 10…”

Section: Discussionmentioning

confidence: 91%

Normal Values for the Full Visual Field, Corrected for Age- and Reaction Time, Using Semiautomated Kinetic Testing on the Octopus 900 Perimeter

Grobbel

Dietzsch

Johnson

et al. 2016

Trans. Vis. Sci. Tech.

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“…Due to the high variability observed between Goldmann perimetry sessions28 and the lack of preoperative data in some patients, visual field loss was calculated using the areas of the upper quadrants (UQs) as follows: VFD = 1 − (area contralateral UQ [left eye] + area contralateral UQ [right eye])/(area ipsilateral UQ [left eye] + area ipsilateral UQ [right eye]).…”

Section: Methodsmentioning

confidence: 99%

Optic radiation tractography and vision in anterior temporal lobe resection

Winston

Daga

Stretton

et al. 2012

Annals of Neurology

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ObjectiveAnterior temporal lobe resection (ATLR) is an effective treatment for refractory temporal lobe epilepsy but may result in a contralateral superior visual field deficit (VFD) that precludes driving in the seizure-free patient. Diffusion tensor imaging (DTI) tractography can delineate the optic radiation preoperatively and stratify risk. It would be advantageous to incorporate display of tracts into interventional magnetic resonance imaging (MRI) to guide surgery.MethodsWe studied 20 patients undergoing ATLR. Structural MRI scans, DTI, and visual fields were acquired before and 3 to 12 months following surgery. Tractography of the optic radiation was performed on preoperative images and propagated onto postoperative images. The anteroposterior extent of the damage to Meyer's loop was determined, and visual loss was quantified using Goldmann perimetry.ResultsTwelve patients (60%) suffered a VFD (10–92% of upper quadrant; median, 39%). Image registration took <3 minutes and predicted that Meyer's loop was 4.4 to 18.7mm anterior to the resection margin in these patients, but 0.0 to 17.6mm behind the resection margin in the 8 patients without VFD. The extent of damage to Meyer's loop significantly correlated with the degree of VFD and explained 65% of the variance in this measure.InterpretationThe optic radiation can be accurately delineated by tractography and propagated onto postoperative images. The technique is fast enough to propagate accurate preoperative tractography onto intraoperative scans acquired during neurosurgery, with the potential to reduce the risk of VFD. ANN NEUROL 2012;

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“…The observed relation (8) is nearly 1.68 times the predicted one (7). Presumably, the differences again result from other sources of variation, ignored in this approximate analysis.…”

Section: (7)mentioning

confidence: 65%

Morphology of the normal visual field in a population‐based random sample: Principal components analysis

Oden

1992

Statistics in Medicine

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I applied principal components analysis to Humphrey central 24-2 threshold values from both eyes of 304 clinically normal persons selected by simple random sample from Barbados, WI. The first component, accounting for 62 per cent of the variation, is equivalent to the average threshold value within persons. The first eigenvector, when represented by grey scale maps depicting a pair of eyes, reveals that, as average threshold increases, the visual field rises and flattens, like an umbrella that, initially closed, is simultaneously opened and thrust upwards. I verify three numerical predictions based upon this umbrella description. Much less important sources of variation involve disparity between fellow eyes, and hemimeridional and other symmetric differences within eyes. I discuss briefly possible physiologic explanatory mechanisms.

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Static and Kinetic Visual Field Testing

Cited by 69 publications

References 12 publications

Normal Values for the Full Visual Field, Corrected for Age- and Reaction Time, Using Semiautomated Kinetic Testing on the Octopus 900 Perimeter

Normal Values for the Full Visual Field, Corrected for Age- and Reaction Time, Using Semiautomated Kinetic Testing on the Octopus 900 Perimeter

Optic radiation tractography and vision in anterior temporal lobe resection

Morphology of the normal visual field in a population‐based random sample: Principal components analysis

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