Evidence map›Paper›PMID 41837568›Full record

ArticleTranslational vision science & technology2026

Developing Clinically Implementable Approaches for Directional Optical Coherence Tomography.

Pei Ying Lee, Jingjing Lin, Da Zhao, Maggie Wang, Zahra Al Bayati, Mehak Ghataura, Manpreet Kaur, Burak Ozdemir, Navjeet Singh, Christine T O Nguyen

Abstract read
In one paragraph

Article in Translational vision science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Pei Ying LeeDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Jingjing LinDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Da ZhaoDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Maggie WangDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Zahra Al BayatiDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Mehak GhatauraDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Manpreet KaurDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Burak OzdemirDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Navjeet SinghDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.
Christine T O NguyenDepartment of Optometry and Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Directional optical coherence tomography (OCT) provides a true outer nuclear layer (ONL) measure not masqueraded by the Henle fiber layer. This study aimed to test different image acquisition and analysis approaches to develop a clinically implementable tool. Methods: OCT images from 12 participants (12 eyes) were taken using the Spectralis OCT2 (Heidelberg Engineering, Heidelberg, Germany). Directional OCT was obtained by the operator displacing the OCT beam or the participants fixating on three parts of an internal fixation cross. ONL thickness was segmented (1) using the built-in automated algorithm and (2) refining the segmentation border ("corrected segmentation"), compared to manual segmentation. Test-retest comparison between sessions was analyzed. Results: Automated segmentation returned thicker ONL (nasal, P = 0.05; temporal, P < 0.01), whereas corrected segmentation gave similar ONL thickness (nasal, P = 0.43; temporal, P = 0.06) compared to manual segmentation. Similar ONL thicknesses were obtained with the different approaches (nasal, P = 0.09; temporal, P = 0.26), which were repeatable between sessions. Conclusions: Directional OCT can be obtained with either the operator altering the angle of the OCT device, which is less reliant on the patient's subjective involvement, or the patient adjusting their fixation. Correcting the ONL segmentation returns similar retinal thickness profiles to manual segmentation, with the benefit of being more time and resource efficient. These methods also demonstrated good test-retest reliability. Translational Relevance: This study provides an approach for directional OCT image acquisition and analysis that can be readily implemented into clinical environments.

Indexed as

RetinaTomography, Optical CoherenceAdultAlgorithmsFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedReproducibility of Results

Identifiers

PMID41837568
PMCPMC13001827

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.