ArticleAmerican journal of ophthalmology2026
3D Structural Phenotype of the Optic Nerve Head in Glaucoma and Myopia-A Key to Improving Glaucoma Diagnosis in Myopic Populations.
Article in American journal of ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Fusing Structural Phenotypes with Functional Data for Early Prediction of Primary Angle-Closure Glaucoma Progression.Ophthalmology science · 2026Article
- Diagnostic challenges in high myopia: identification of sight-threatening complications and the role of artificial intelligence.Frontiers in ophthalmology · 2025Review
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12 authors.
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Abstract
purposeTo characterize the three-dimensional (3D) structural phenotypes of the optic nerve head (ONH) in patients with glaucoma, high myopia, and concurrent high myopia and glaucoma, and to evaluate their variations across these conditions.
designRetrospective cross-sectional study.
participantsA total of 685 optical coherence tomography (OCT) scans from 754 subjects of Singapore-Chinese ethnicity, including 256 healthy (H), 94 highly myopic (HM), 227 glaucomatous (G), and 108 highly myopic with glaucoma (HMG) cases.
methodsWe segmented the retinal and connective tissue layers from OCT volumes, and their boundary edges were converted into 3D point clouds. To classify the 3D point clouds into four ONH conditions, ie, H, HM, G, and HMG, a specialized ensemble network was developed, consisting of an encoder to transform high-dimensional input data into a compressed latent vector, a decoder to reconstruct point clouds from the latent vector, and a classifier to categorize the point clouds into the four ONH conditions. In addition, the network included an extension to reduce the latent vector to two dimensions for enhanced visualization.
main outcome measuresStructural variation in the ONH in H, HM, G, and HMG conditions.
resultsThe classification network achieved high accuracy, distinguishing H, HM, G, and HMG classes with a microaverage area under the receiver operating characteristic curve of 0.92 ± 0.03 on an independent test set. The decoder effectively reconstructed point clouds, achieving a Chamfer loss of 0.013 ± 0.002. Dimensionality reduction clustered ONHs into four distinct groups, revealing structural variations such as changes in retinal and connective tissue thickness, tilting and stretching of the disc and scleral canal opening, and alterations in optic cup morphology, including shallow or deep excavation, across the four conditions.
conclusionsThis study demonstrated that ONHs exhibit distinct structural signatures across H, HM, G, and HMG conditions. The findings further indicate that ONH morphology provides sufficient information for classification into distinct clusters, with principal components capturing unique structural patterns within each group. Future studies should seek to establish a connection between these structural patterns with the functional changes to enhance glaucoma diagnosis in myopic eyes.
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