ArticleTranslational vision science & technology2020
An Automated Method for Assessing Topographical Structure-Function Agreement in Abnormal Glaucomatous Regions.
Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Structure-function correlates in anterior visual pathway lesions: a systematic review.Eye (London, England) · 2025Pooled it
- Registration-Based Analysis of the Three-Dimensional Shape of the Retinal Nerve Fiber Layer for Detection of Glaucomatous Defects.Translational vision science & technology · 2026Article
- Improving glaucoma staging in clinical practice by combining the ICD-10 glaucoma severity classification system and optical coherence tomography.Eye (London, England) · 2024Article
- Structure-function assessment in glaucoma based on perimetric sensitivity and en face optical coherence tomography images of retinal nerve fiber bundles.Scientific reports · 2023Article
- Test of a Retinal Nerve Fiber Bundle Trajectory Model Using Eyes With Glaucomatous Optic Neuropathy.Translational vision science & technology · 2022Article
- Rationale and Development of an OCT-Based Method for Detection of Glaucomatous Optic Neuropathy.Journal of glaucoma · 2022Article
- Detection of Early Glaucomatous Damage: Performance of Summary Statistics From Optical Coherence Tomography and Perimetry.Translational vision science & technology · 2022Article
- The OCT RNFL Probability Map and Artifacts Resembling Glaucomatous Damage.Translational vision science & technology · 2022Article
- Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images.IEEE transactions on bio-medical engineering · 2021Article
- Did the OCT Show Progression Since the Last Visit?Journal of glaucoma · 2021Article
- Strategies to Improve Convolutional Neural Network Generalizability and Reference Standards for Glaucoma Detection From OCT Scans.Translational vision science & technology · 2021Article
- An Evaluation of a New 24-2 Metric for Detecting Early Central Glaucomatous Damage.American journal of ophthalmology · 2021Article
- Local Glaucomatous Defects of the Circumpapillary Retinal Nerve Fiber Layer Show a Variety of Patterns of Progression.Journal of glaucoma · 2020Article
- Improving the Detection of Glaucoma and Its Progression: A Topographical Approach.Journal of glaucoma · 2020Article
- Glaucomatous Maculopathy: Thickness Differences on Inner and Outer Macular Layers between Ocular Hypertension and Early Primary Open-Angle Glaucoma Using 8 × 8 Posterior Pole Algorithm of SD-OCT.Journal of clinical medicine · 2020Article
- Does Retinal Ganglion Cell Loss Precede Visual Field Loss in Glaucoma?Journal of glaucoma · 2019Review
- A Case for the Use of Artificial Intelligence in Glaucoma Assessment.Ophthalmology. GlaucomaArticle
- The 24-2 Visual Field Guided Progression Analysis Can Miss the Progression of Glaucomatous Damage of the Macula Seen Using OCT.Ophthalmology. GlaucomaArticle
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To develop an automated/objective method for topographically comparing abnormal regions on optical coherence tomography (OCT) and visual field (VF) tests of eyes with early glaucoma. Methods: A custom R program was developed that allows for both visualization and automatic assessment of the topographical agreement between functional (24-2 and/or 10-2 VF) and structural (widefield OCT retinal nerve fiber layer and/or retinal ganglion cell layer) deviation/probability maps. It was optimized using information from 98 eyes: 53 diagnosed as "definitely glaucoma" (DG) and 45 recruited as healthy (H) controls. Different pairs of abnormal VF ( Results: A criterion of two aS-aF locations with "OCT <10% and VF <5%" on VF pattern deviation (PD) probability and OCT deviation/probability maps yielded high overall agreement (92%) with high aS-aF agreement for the DG eyes (89%) and high aS-aF nonagreement for the H eyes (95%). Total deviation probability maps achieved slightly lower performance than PD maps. Conclusions: The method described here can automatically and objectively evaluate aS-aF agreement with a direct comparison of abnormal regions of function and structure. Translational Relevance: As glaucoma diagnosis often involves assessing structure-function agreement, this technique can overcome subjectivity in this assessment.
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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.