Evidence map›Paper›PMID 42747257›Full record

Observational studyInvestigative ophthalmology & visual science2026

Explainable Multimodal OCT and OCTA Analysis Reveals Structural and Vascular Features of Mild Glaucoma Across Ethnicities.

Jacqueline Chua, Zhixin Shi, Eshitha Jithendra Kumar, Peddini Sagarika Yadav, Chi Li, Qiong Xu, Damon Wong, Bingyao Tan, Rahat Husain, Tin Aung and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Investigative ophthalmology & visual science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jacqueline ChuaSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Zhixin ShiSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Eshitha Jithendra KumarSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Peddini Sagarika YadavSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Chi LiSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Qiong XuSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Damon WongSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Bingyao TanSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Rahat HusainSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Tin AungSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Alina Popa-CherecheanuDepartment of Ophthalmology, University of Medicine and Pharmacy Carol Davila, Bucharest, Romania.
Leopold SchmettererSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.

Funding

NIAID NIH HHS L30 AI172024NIAID NIH HHS L40 AI172024
6 · The paper itself

Abstract

Purpose: To develop and externally validate an explainable artificial intelligence model integrating optical coherence tomography (OCT) and OCT angiography (OCTA) for mild primary open-angle glaucoma (POAG) and to determine the structural and vascular features contributing to classification across ethnically distinct cohorts. Methods: This cross-sectional, multicenter diagnostic study included participants with mild POAG (visual field mean deviation ≥ -6 dB) and normal controls. Quantitative structural OCT and vascular OCTA features from the optic disc and macula were extracted. An Asian cohort (n = 621; 429 glaucoma, 192 controls) was used for model development and testing, and an independent Caucasian cohort (n = 131; 62 glaucoma, 69 controls) was used for external validation. Random Forest models using OCT-only, OCTA-only, and combined OCT/OCTA features were compared using area under the receiver operating characteristic (AUC) curve, sensitivity, and specificity. Feature contributions were assessed using SHapley Additive exPlanations (SHAP). Results: Among 752 participants (mean age, 60 years; 50% male), the multimodal model achieved high discrimination in the internal test set (AUC = 0.975) and comparable performance to OCT-only model (AUC = 0.965; P = 0.248) but outperformed the OCTA-only model (AUC = 0.870; P < 0.001). In the external test set, the multimodal model achieved an AUC of 0.884, outperforming both OCT-only (AUC = 0.801; P < 0.001) and OCTA-only (AUC = 0.792; P = 0.005) models. SHAP analysis identified inferior peripapillary retinal nerve fiber layer thickness and peripapillary perfusion density as key contributors. Conclusions: Explainable multimodal OCT/OCTA analysis identified consistent structural and vascular features of mild glaucoma across ethnically distinct cohorts. OCTA-derived vascular metrics provided complementary information to structural OCT, particularly in the external validation cohort.

Indexed as

Fluorescein AngiographyGlaucoma, Open-AngleOptic DiskRetinal VesselsTomography, Optical CoherenceAgedCross-Sectional StudiesFemaleHumansIntraocular PressureMaleMiddle AgedMultimodal ImagingNerve FibersRetinal Ganglion CellsROC Curve

Identifiers

PMID42747257
PMCPMC13589400

What OpenQuestion holds

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Registered trials

None linked

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.