Weighting according to location in computer-assisted glaucoma visual field analysis

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Weighting according to location in computer-assisted glaucoma visual field analysis. / Asman, P; Heijl, A.

I: Acta Ophthalmologica, Vol. 70, Nr. 5, 10.1992, s. 671-8.

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T1 - Weighting according to location in computer-assisted glaucoma visual field analysis

AU - Asman, P

AU - Heijl, A

PY - 1992/10

Y1 - 1992/10

N2 - In recent years several aids for automated interpretation of visual field data have been suggested. We believed that incorporation of thorough knowledge of normal visual field variability would allow improvements in the performance of such aids since more attention would be paid to field results in areas with low physiological variability. Two visual field models for classification of fields in glaucoma based on comparisons of sensitivity values in the upper and lower hemifields and on analysis of test point clusters with diminished sensitivity were compared. Both models were constructed using logistic regression analysis in 101 normal eyes and 101 eyes with glaucoma. The first, more traditional model assumed Gaussian distributions of deviations from age-corrected normal thresholds and constant variability across the field (non-weighted model). The second model took into account empirically determined variability of pointwise threshold results and of cluster volumes in various visual field regions (weighted model). The two models were subsequently tested on an independent material of 163 normal eyes and 76 eyes with glaucoma. The weighted model gave significantly better classification of the fields in both materials. Accounting for physiological threshold variability can offer significant advantages in the construction of perimetric analysis aids for detection of glaucoma.

AB - In recent years several aids for automated interpretation of visual field data have been suggested. We believed that incorporation of thorough knowledge of normal visual field variability would allow improvements in the performance of such aids since more attention would be paid to field results in areas with low physiological variability. Two visual field models for classification of fields in glaucoma based on comparisons of sensitivity values in the upper and lower hemifields and on analysis of test point clusters with diminished sensitivity were compared. Both models were constructed using logistic regression analysis in 101 normal eyes and 101 eyes with glaucoma. The first, more traditional model assumed Gaussian distributions of deviations from age-corrected normal thresholds and constant variability across the field (non-weighted model). The second model took into account empirically determined variability of pointwise threshold results and of cluster volumes in various visual field regions (weighted model). The two models were subsequently tested on an independent material of 163 normal eyes and 76 eyes with glaucoma. The weighted model gave significantly better classification of the fields in both materials. Accounting for physiological threshold variability can offer significant advantages in the construction of perimetric analysis aids for detection of glaucoma.

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Female

KW - Glaucoma/physiopathology

KW - Humans

KW - Image Interpretation, Computer-Assisted

KW - Male

KW - Middle Aged

KW - Models, Statistical

KW - Probability

KW - Regression Analysis

KW - Sensitivity and Specificity

KW - Vision Disorders/physiopathology

KW - Visual Field Tests/methods

KW - Visual Fields

U2 - 10.1111/j.1755-3768.1992.tb02151.x

DO - 10.1111/j.1755-3768.1992.tb02151.x

M3 - Article

C2 - 1471494

VL - 70

SP - 671

EP - 678

JO - Acta Ophthalmologica

JF - Acta Ophthalmologica

SN - 1755-3768

IS - 5

ER -