Evidence map›Paper›PMID 41333171›Full record

ArticleArXiv2025

The Emory Optic Nerve Head Atlas - Using 3D Anatomical Mapping to Study Optic Neuropathies with an Initial Focus on Glaucoma.

Thanadet Chuangsuwanich, Patipol Tiyajamorn, Yibo Chen, Michael Dattilo, Deepta Ghate, Nancy Newman, Valérie Biousse, Michaël J A Girard

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In one paragraph

Article in ArXiv, 2025. 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

8 authors.

Thanadet ChuangsuwanichDepartment of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia USA.
Patipol TiyajamornDepartment of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia USA.
Yibo ChenDepartment of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia USA.
Michael DattiloDepartment of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia USA.
Deepta GhateDepartment of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia USA.
Nancy NewmanDepartment of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia USA.
Valérie BiousseDepartment of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia USA.
Michaël J A GirardDepartment of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia USA.

Funding

P30-Core Grant for Vision Research Core CP30EY006360 · NEI · EMORY UNIVERSITY · PI BOATRIGHT, JEFFREY H · 1986 to 2025
$15.3M
AXON: Axonal biomechaniX to unveil injury mechanisms in glaucomatous Optic NeuropathyR01EY037299 · NEI · EMORY UNIVERSITY · PI Michael Girard, Ian A Sigal · 2025 to 2026
$1.2M
NEI NIH HHS P30 EY006360NEI NIH HHS R01 EY037299
6 · The paper itself

Abstract

Purpose: To develop the first 3D optic nerve head (ONH) atlas using AI-based registration and evaluate its use in: (1) atlas-adjusted retinal nerve fiber layer (RNFL) analysis for glaucoma diagnosis, and (2) strain-based assessment of glaucoma severity. Methods: Large-scale OCT datasets were registered using REFLECTIVITY-generated tissue segmentations. A healthy atlas (n=460) and glaucoma atlases for mild (n=852), moderate (n=640), and severe (n=546) disease were built using an AI-driven algorithm incorporating structural and biomechanical constraints. Atlas quality was evaluated using inter-layer contrast and agreement between warped scans and the template. Atlas-adjusted RNFL thickness was extracted by mapping fixed 1.5 mm Bruch's membrane opening (BMO) based reference points from the atlas to each subject and compared with standard subject-specific RNFL measurements. Effective strain relative to each atlas was computed by morphing subjects to the atlas template. Strain and thickness features were used to classify glaucoma severity. Results: The healthy atlas captured normative ONH anatomy, while glaucoma atlases showed stage-dependent changes (cup deepening, prelaminar thinning, rim narrowing). Registration accuracy was high (NCC=0.86±0.05; Dice=0.90±0.02), with strong inter-layer contrast (0.40±0.03). Atlas-adjusted RNFL thickness improved separation between healthy and mild glaucoma (Cohen's d=0.77 vs. 0.72). Classification using atlas-adjusted profiles outperformed native measurements (AUC=0.771 vs. 0.757). Mean effective strain differed significantly across severity groups (ANOVA p<0.05), and CNNs trained on strain maps achieved strong classification (AUC=0.79). Conclusion: The ONH atlas provides a population-derived structural reference enabling anatomically consistent thickness mapping and strain-based characterization. It enhances diagnostic discrimination, supports severity classification, and offers a framework to study glaucomatous biomechanics.

Identifiers

PMID41333171
PMCPMC12668017

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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 Socratic graph.