Evidence map›Paper›PMID 42560004›Full record

Observational studyInvestigative ophthalmology & visual science2026

Axial Length Estimation Using Metadata From Swept-Source Optical Coherence Tomography Angiography.

Ying Zhu, Sarah L Wagner, Rebecca Zeng, Itika Garg, Leiyu Wang, Xinyi Ding, Selin S Gumustop, Kayla N Nodecker, Chong Chen, Ioanna Ploumi and 9 more

Abstract readObservational 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

19 authors.

Ying ZhuHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Sarah L WagnerHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Rebecca ZengHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Itika GargHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Leiyu WangHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Xinyi DingHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Selin S GumustopHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Kayla N NodeckerHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Chong ChenHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Ioanna PloumiHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Shivesh H ShahHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Demetrios G VavvasRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Nimesh A PatelRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Deeba HusainRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Joan W MillerRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Leo A KimRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
David M WuRetina Service, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
Tobias ElzeHarvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.
John B MillerHarvard Retinal Imaging Lab, Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to explore the possibility of using metadata from optical coherence tomography angiography (OCTA) for axial length (AL) estimation. Methods: This retrospective, cross-sectional, observational study included patients with both OCTA imaging and biometry measurements available in a single tertiary medical center from 2019 to 2024. Univariate and multivariate regression analyses were used to build the estimation model of AL using metadata from OCTA. Results: A total of 198 eyes from 130 patients were included. The average AL was 24.58 mm (interquartile range [IQR] = 22.35-26.81). Univariate regression analysis identified that y_chinrest, z_chinrest, z_lens, and z_motor were all closely related to AL (P < 0.001). The final estimation model derived from multivariate regression analysis was Axial_Length = 24.79611 - 0.25510 × y_chinrest - 0.23443 × z_chinrest - 1.41824 × z_lens + 0.71947 × z_motor. The multiple R-squared value was 0.5586 and adjusted R-squared value was 0.5495. Of the predicted values, 68.7% were within 1 mm of the true AL, and 92.9% were within 2 mm of the true AL. Regression diagnostic plots confirmed assumptions of linearity, homoscedasticity, normality, and no multicollinearity were met. Foveal avascular zone (FAZ) correction with estimated AL showed a reduction in mean absolute error by 31%, from 0.031 mm2 to 0.021 mm2 (P < 0.001). Conclusions: The present study demonstrates the possibility of reliable AL estimation using metadata from OCTA.

Indexed as

Axial Length, EyeFluorescein AngiographyMetadataTomography, Optical CoherenceAgedBiometryCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID42560004
PMCPMC13452434

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.