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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. DESIGN: Comparative cross-sectional study. PARTICIPANTS: Ninety-five glaucomatous eyes and 128 normal eyes were included in the study. INTERVENTIONS: The subjects underwent retinal nerve fiber layer photographic evaluation and short-wavelength automated perimetry. MAIN OUTCOME MEASURES: 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%.
Dr V. Polo, P. Pamplona, 8-10 4 Dcha, 50.004 Zaragoza, Spain
6.6.3 Special methods (e.g. color, contrast, SWAP etc.) (Part of: 6 Clinical examination methods > 6.6 Visual field examination and other visual function tests)