Evidence map›Paper›PMID 40478589›Full record

ArticleTranslational vision science & technology2025

High-Resolution, Motion-Corrected, Volume-Fused OCT for Investigating Longitudinal Changes in Subretinal Drusenoid Deposits in Intermediate AMD.

Jungeun Won, Antonio Yaghy, Stefan B Ploner, Stephanie Kaiser, Jessica M Girgis, Yunchan Hwang, Muhammad Usman Jamil, Andreas Maier, Nadia K Waheed, James G Fujimoto

Abstract read
In one paragraph

Article in Translational vision science & technology, 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

10 authors.

Jungeun WonDepartment of Electrical Engineering and Computer Science, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Antonio YaghyNew England Eye Center, School of Medicine, Tufts University, Boston, MA, USA.
Stefan B PlonerDepartment of Computer Science, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Stephanie KaiserNew England Eye Center, School of Medicine, Tufts University, Boston, MA, USA.
Jessica M GirgisNew England Eye Center, School of Medicine, Tufts University, Boston, MA, USA.
Yunchan HwangDepartment of Electrical Engineering and Computer Science, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Muhammad Usman JamilNew England Eye Center, School of Medicine, Tufts University, Boston, MA, USA.
Andreas MaierDepartment of Computer Science, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Nadia K WaheedNew England Eye Center, School of Medicine, Tufts University, Boston, MA, USA.
James G FujimotoDepartment of Electrical Engineering and Computer Science, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.

Funding

Novel Optical Diagnostics with Optical Coherence TomographyR01EY011289 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAMES G FUJIMOTO · 1995 to 2026
$9.5M
Novel ultrahigh speed swept source OCT angiography methods in diabetic retinopathyR01EY034080 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAMES G FUJIMOTO, Nadia Waheed · 2023 to 2026
$1.9M
NEI NIH HHS R01 EY011289NEI NIH HHS R01 EY034080
6 · The paper itself

Abstract

Purpose: To demonstrate high-resolution, motion-corrected, volume-fused optical coherence tomography (OCT) for assessing longitudinal changes in macular dot form subretinal drusenoid deposits (SDDs). Methods: Six consecutive isotropic volume raster scans over 6 × 6 mm (500 × 500 A-scans) were acquired using a high-resolution (2.7 µm axial resolution) spectral domain OCT prototype instrument. OCT volumes were computationally motion-corrected and fused. The distribution and longitudinal changes in dot SDDs were evaluated using en face OCT in a 50-µm-thick slab, from 27 µm above Bruch's membrane. Results: Computational motion correction and volume fusion methods improve visibility of small en face features and compensate for motion artifacts to facilitate longitudinal assessment. In total, 326 SDDs were identified in a representative series of four eyes from four patients with intermediate age-related macular degeneration (AMD) and assessed with a 3- to 12-month follow-up. Of the SDDs, 85.3% remained stable over the follow-up, while 9.8% regressed, 3.4% fused, and 1.5% new SDDs appeared. Conclusions: Computational motion correction and volume fusion combined with high-resolution OCT B-scans and en face slabs facilitate visualization and longitudinal tracking of focal pathologies, such as SDDs. Translational Relevance: The methods presented have the potential to improve OCT analysis of focal features, such as quantification of SDDs and other AMD biomarkers.

Indexed as

Macular DegenerationRetinal DrusenTomography, Optical CoherenceAgedAged, 80 and overFemaleHumansMaleMiddle AgedMotion

Identifiers

PMID40478589
PMCPMC12155712

What Socratic holds

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LicenceCC BY
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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.