ArticlePloS one2013
Detection of progression of glaucomatous visual field damage using the point-wise method with the binomial test.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Investigating the clinical validity of the guided progression analysis definition with 10-2 visual field in retinitis pigmentosa.PloS one · 2023Article
- Pointwise and Region-Wise Course of Visual Field Loss in Patients With Glaucoma.Translational vision science & technology · 2022Article
- Detecting Progression of Retinitis Pigmentosa Using the Binomial Pointwise Linear Regression Method.Translational vision science & technology · 2021Article
- Predicting eyes at risk for rapid glaucoma progression based on an initial visual field test using machine learning.PloS one · 2021Article
- The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields.Scientific reports · 2020Article
- Article
- Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual Fields.Translational vision science & technology · 2016Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo compare the performance of newly proposed point-wise linear regression (PLR) with the binomial test (binomial PLR) against mean deviation (MD) trend analysis and permutation analyses of PLR (PoPLR), in detecting global visual field (VF) progression in glaucoma.
methods15 VFs (Humphrey Field Analyzer, SITA standard, 24-2) were collected from 96 eyes of 59 open angle glaucoma patients (6.0 ± 1.5 [mean ± standard deviation] years). Using the total deviation of each point on the 2(nd) to 16(th) VFs (VF2-16), linear regression analysis was carried out. The numbers of VF test points with a significant trend at various probability levels (p<0.025, 0.05, 0.075 and 0.1) were investigated with the binomial test (one-side). A VF series was defined as "significant" if the median p-value from the binomial test was <0.025. Similarly, the progression analysis was carried out using only second to sixth VFs (VF2-6). The performance of each method was evaluated using the 'consistency measures'; proportion both significant (PBS): both VF series (VF2-6 and VF2-16) were "significant", proportion both were not significant (PBNS): both were "not significant", proportion inconsistently significant (PIS): VF2-16 was "not significant" but VF2-6 was "significant". A similar analysis was carried out using VF2-7 and VF2-15 series, and the performance was compared with MD trend analysis and PoPLR.
resultsThe PBS of the binomial PLR method (0.14 to 0.86) was significantly higher than MD trend analysis (0.04 to 0.89) and PoPLR (0.09 to 0.93). The PIS of the proposed method (0.0 to 0.17) was significantly lower than the MD approach (0.0 to 0.67) and PoPLR (0.07 to 0.33). The PBNS of the three approaches were not significantly different.
conclusionsThe binomial BLR method gives more consistent results than MD trend analysis and PoPLR, hence it will be helpful as a tool to 'flag' possible VF deterioration.
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