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Shotaro Asano, Akio Oishi, Ryo Asaoka, Yuri Fujino, Hiroshi Murata, Keiko Azuma, Manabu Miyata, Ryo Obata, Tatsuya Inoue; Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method. Trans. Vis. Sci. Tech. 2021;10(13):15. doi: https://doi.org/10.1167/tvst.10.13.15.
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© ARVO (1962-2015); The Authors (2016-present)
A method of evaluating central visual field (VF) progression in eyes with retinitis pigmentosa (RP) has still to be established. We previously reported the potential merit of applying a binomial test to pointwise linear regression (binomial PLR) in glaucoma progression. In the current study, we investigated the usefulness of binomial PLR in eyes with RP.
A series of 10 VFs (VF 1–10, Humphrey field analyzer, 10-2 test) from 196 eyes of 103 patients with RP were collected retrospectively. The PLR was performed by regressing the total deviation of all test points with the complete series of 10 VFs. The accuracy (positive predictive value, negative predictive value, and false-positive rate) and the time required to detect VF progression with shorter VF series (from VF 1–5 to VF 1–9) were compared across the binomial PLR, a permutation analysis of PLR (PoPLR), and a mean deviation (MD) trend analysis.
In evaluating VF progression, the binomial PLR was comparable with the PoPLR and MD trend analyses in its positive predictive value (0.55 to 0.95), negative predictive value (0.67 to 0.92), and false-positive rate (0.01 to 0.05). The binomial PLR required significantly less time to detect VF progression (5.0 ± 2.0 years) than the PoPLR and MD trend analyses (P < 0.01, P < 0.001, respectively).
The application of a binomial PLR achieved reliable and earlier detection of central VF progression in eyes with RP.
A binomial PLR was useful in assessing VF progression in RP.
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