Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method.
Asano Shotaro, Oishi Akio, Asaoka Ryo, Fujino Yuri, Murata Hiroshi, Azuma Keiko, Miyata Manabu, Obata Ryo, Inoue Tatsuya
AI Summary
Binomial pointwise linear regression reliably and earlier detected central visual field progression in retinitis pigmentosa, offering a valuable tool for monitoring this inherited retinal disease.
Abstract
Purpose
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.
Methods
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.
Results
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).
Conclusions
The application of a binomial PLR achieved reliable and earlier detection of central VF progression in eyes with RP.
Translational relevance: A binomial PLR was useful in assessing VF progression in RP.
MeSH Terms
Shields Classification
Key Concepts4
In evaluating visual field progression in eyes with retinitis pigmentosa, the binomial pointwise linear regression (PLR) method showed comparable 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) compared to permutation analysis of PLR (PoPLR) and mean deviation (MD) trend analyses.
The binomial pointwise linear regression (PLR) method required significantly less time to detect visual field progression (5.0 ± 2.0 years) in eyes with retinitis pigmentosa compared to permutation analysis of PLR (PoPLR) (P < 0.01) and mean deviation (MD) trend analyses (P < 0.001).
The application of a binomial pointwise linear regression (PLR) achieved reliable and earlier detection of central visual field progression in eyes with retinitis pigmentosa.
The binomial pointwise linear regression (PLR) method was investigated for its usefulness in detecting visual field progression in 196 eyes of 103 patients with retinitis pigmentosa.
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