ArticleInvestigative ophthalmology & visual science2017
Vertical Macular Asymmetry Measures Derived From SD-OCT for Detection of Early Glaucoma.
Article in Investigative ophthalmology & visual science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Comparison of Macular Ganglion Cell-Inner Plexiform Layer Thickness and Sectoral Ratio Asymmetry Among Different Glaucoma Types.Diagnostics (Basel, Switzerland) · 2026Article
- Elevated Nasal-Temporal Asymmetry of the Choroidal Vascular Index in Pathologically Myopic Eyes.Investigative ophthalmology & visual science · 2025Article
- Deep Learning Estimation of 10-2 Visual Field Map Based on Macular Optical Coherence Tomography Angiography Measurements.American journal of ophthalmology · 2024Article
- Prediction of Central Visual Field Measures From Macular OCT Volume Scans With Deep Learning.Translational vision science & technology · 2023Article
- Multivariate Longitudinal Modeling of Macular Ganglion Cell Complex: Spatiotemporal Correlations and Patterns of Longitudinal Change.Ophthalmology science · 2022Article
- Ability of Macular Inner Retinal Layer Thickness Asymmetry Evaluated by Optical Coherence Tomography to Detect Preperimetric Glaucoma.Translational vision science & technology · 2020Article
- Focal alteration of the intraretinal layers in neurodegenerative disorders.Annals of eye science · 2020Article
- Focal Thickness Reduction of the Ganglion Cell-Inner Plexiform Layer Best Discriminates Prior Optic Neuritis in Patients With Multiple Sclerosis.Investigative ophthalmology & visual science · 2019Article
- Diagnostic ability of macular ganglion cell asymmetry in Preperimetric Glaucoma.BMC ophthalmology · 2019Article
- The Fovea-BMO Axis Angle and Macular Thickness Vertical Asymmetry Across The Temporal Raphe.Journal of glaucoma · 2018Article
- Inter-eye Asymmetry of Optical Coherence Tomography Angiography Vessel Density in Bilateral Glaucoma, Glaucoma Suspect, and Healthy Eyes.American journal of ophthalmology · 2018Article
- Macular ganglion cell asymmetry for detecting paracentral scotoma in early glaucoma.Clinical ophthalmology (Auckland, N.Z.) · 2018Article
- Macular imaging with optical coherence tomography in glaucoma.Survey of ophthalmologyReview
Corrections and comments
- Erratum issuedErratum.2017
Authors and funding
8 authors at 1 institution in 4 countries.
Funding
Abstract
Purpose: To test the hypothesis that vertical asymmetry in macular ganglion cell/inner plexiform layer (GCIPL) thickness can improve detection of early glaucoma. Methods: Sixty-nine normal eyes and 101 glaucoma eyes had macular imaging with spectral-domain optical coherence tomography (OCT; 200 × 200 cube). The resulting GCIPL thickness matrix was grouped into a 20 × 20 superpixel array and superior superpixels were compared to their inferior counterparts. A global asymmetry index (AI) was defined as the grand mean of the asymmetry ratios. To measure local asymmetry, the corresponding thickness measurements of three rows above and below the horizontal raphe were compared individually and in combinations. Global and local AIs were compared to the best-performing GCIPL thickness parameters with area under the receiver operating curves (AUC) and sensitivity/specificities. Results: Age or axial length did not influence AIs in normal subjects (P ≥ 0.08). Global and local AIs were significantly higher in the glaucoma group compared to normal eyes. Minimum (AUC = 0.962, 95% confidence interval [CI]: 0.936-0.989) and inferotemporal thickness (AUC = 0.944, 95% CI: 0.910-0.977; P = 0.122) performed best for detection of early glaucoma. The AUC for global AI was 0.851 (95% CI: 0.792-0.909) compared to 0.916 (95% CI: 0.874-0.958) for the best local AI. Combining minimum or inferotemporal GCIPL thickness and the best local AI led to higher partial AUCs (0.088 and 0.085, 90% specificity, P = 0.120 and 0.130, respectively) than GCIPL thickness measures. Conclusions: Macular vertical thickness asymmetry measures did not perform better than sectoral or minimum GCIPL thickness for detection of early glaucoma. Combining local asymmetry parameters with the best sectoral GCIPL thickness measures enhanced this task.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.