Optimum criteria for short-wavelength automated perimetry.
OBJECTIVE
To determine the optimum perimetric criteria for short-wavelength automated perimetry on the basis of probabilistic maps that best discriminate between normal and glaucoma.


METHODS
Comparative cross-sectional study.


METHODS
Ninety-five glaucomatous eyes and 128 normal eyes were included in the study.


METHODS
The subjects underwent retinal nerve fiber layer photographic evaluation and short-wavelength automated perimetry.


METHODS
A probabilistic map of differential points for short-wavelength automated perimetry was elaborated, and the number of altered points was calculated for each visual field and level of significance (95%, 98%, 99%, and 99.5%).


RESULTS
The presence of a cluster of four or more points outside 95% normal probability limit showed a good combination of sensitivity and specificity. At deeper levels, P: < 1% and P: < 0.5%, the best combination is achieved with three points outside the normal probability limits.


CONCLUSIONS
The optimum criterion to define glaucomatous abnormalities in short-wavelength automated perimetry is the presence of a cluster of four points lower than P: < 5% or a cluster of three points lower than P: < 1%.
Polo
V
V
Miguel Servet Hospital, Zaragoza, Spain.
Larrosa
J M
JM
Pinilla
I
I
Pablo
L
L
Honrubia
F M
FM
D000328:Adult; D003430:Cross-Sectional Studies; D005260:Female; D005901:Glaucoma / Q000175:diagnosis*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009412:Nerve Fibers / Q000473:pathology; D009900:Optic Nerve / Q000473:pathology; D011336:Probability; D012165:Retinal Ganglion Cells / Q000473:pathology; D012680:Sensitivity and Specificity; D014786:Vision Disorders / Q000175:diagnosis*; D058609:Visual Field Tests / Q000592:standards*; D014794:Visual Fields