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Jacqueline M. Nelson-Quigg, Kimberly Cello, Chris A. Johnson; Predicting Binocular Visual Field Sensitivity from Monocular Visual Field Results. Invest. Ophthalmol. Vis. Sci. 2000;41(8):2212-2221.
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© ARVO (1962-2015); The Authors (2016-present)
purpose. To compare methods of predicting binocular visual field sensitivity of
patients with glaucoma from monocular visual field data.
methods. Monocular and binocular visual fields were obtained for 111 patients
with varying degrees of glaucomatous damage in one or both eyes, using
the Humphrey 30-2 full-threshold procedure. Four binocular sensitivity
prediction models were evaluated: BEST EYE, predictions based on
individual values for the most sensitive eye, defined by mean deviation
(MD); AVERAGE EYE, predictions based on the average sensitivity between
eyes at each visual field location; BEST LOCATION, predictions based on
the highest sensitivity between eyes at each visual field location; and
BINOCULAR SUMMATION, predictions based on binocular summation of
sensitivity between eyes at each location. Differences between actual
and predicted binocular sensitivities were calculated for each model.
results. The average difference between predicted and actual binocular
sensitivities was close to zero for the BINOCULAR SUMMATION and BEST
LOCATION models, with 95% of all predictions being within ±3 dB of
actual binocular sensitivities. The best eye (MD) prediction had an
average error of 1.5 dB (95% confidence limits [CL], ±3.7 dB). The
average eye prediction was the poorest, with an average error of 3.7 dB
(95% CL, ±4.6 dB).
conclusions. The BINOCULAR SUMMATION and BEST LOCATION models provided better
predictions of binocular visual field sensitivity than the other two
models, with a statistically significant difference in performance. The
small difference in performance between the BINOCULAR SUMMATION and
BEST LOCATION models was not statistically significant. For evaluations
of functional visual field influences on task performance, daily
activities, and related quality-of-life issues, either the BINOCULAR
SUMMATION or BEST LOCATION model provides good estimates of binocular
visual field sensitivity.
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