Evidence map›Paper›PMID 42336620›Full record

ArticleThe British journal of ophthalmology2026

Drusen volume and reticular pseudodrusen volume from optical coherence tomography with deep learning as risk factors for progression to late age-related macular degeneration in eyes with reticular pseudodrusen and contralateral macular neovascularisation.

An-Lun Wu, Yukun Guo, Tristan T Hormel, Christina J Flaxel, Thomas S Hwang, David Huang, Yali Jia, Steven T Bailey

Abstract read
In one paragraph

Article in The British journal of ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

An-Lun WuCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0009-0000-0458-8639
Yukun GuoCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0002-6784-2355
Tristan T HormelCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.
Christina J FlaxelCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0001-9353-9862
Thomas S HwangCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0002-0535-4823
David HuangCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0003-2592-8393
Yali JiaCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0002-2784-1905
Steven T BaileyCasey Eye Institute, Oregon Health & Science University, Portland, OR, USA bailstev@ohsu.edu.ORCID http://orcid.org/0000-0003-4949-1464

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI John Peter Campbell · 1995 to 2026
$19.4M
OCT Angiography for Neovascular Age-related Macular DegenerationR01EY024544 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Steven T Bailey, Yali Jia · 2014 to 2026
$6.2M
OCTA Precursors of Vision-Threatening Complications of Diabetic RetinopathyR01EY035410 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Thomas Hwang, Yali Jia · 2023 to 2026
$2.5M
Translational Vision Science Research at Oregon Health & Science UniversityT32EY023211 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Yali Jia, Kate E Keller · 2013 to 2026
$2.4M
Advancing visible-light OCT in oxygen-induced retinopathyR01EY036429 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI John Peter Campbell, Yali Jia · 2024 to 2026
$2.0M
Wide-field and projection-resolved optical coherence tomography angiography in diabetic retinopathyR01EY027833 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI HWANG, THOMAS, JIA, YALI · 2017 to 2020
$1.8M
Visible-light OCT angiography, velocimetry, and oximetry for characterizing retinal vascular alterations in glaucomaR01EY031394 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI JIA, YALI, MORRISON, JOHN C · 2020 to 2022
$1.6M
A diagnostic platform for diabetic retinopathy based on OCT angiography and artificial intelligenceR43EY036781 · NEI · IFOCUS IMAGING LLC · PI HORMEL, TRISTAN, JIA, YALI · 2024 to 2024
$306k
NCATS NIH HHS UL1 TR002369NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY024544NEI NIH HHS R01 EY027833NEI NIH HHS R01 EY031394NEI NIH HHS R01 EY035410NEI NIH HHS R01 EY036429NEI NIH HHS R43 EY036781NEI NIH HHS T32 EY023211
6 · The paper itself

Abstract

aimTo implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with progression to late age-related macular degeneration (AMD).

methodsA retrospective analysis included study eyes with RPD and contralateral neovascular AMD using 6×6 mm macular OCT (Solix; Visionix/Optovue, Inc). Automated segmentation quantified RPD and drusen volumes, including large drusen and drusenoid pigment epithelial detachment (PED), and late AMD development was evaluated over 2 years. Associations between baseline volumetric biomarkers and progression were evaluated using Cox proportional hazards models.

resultsFifty-one eyes (mean age 74.9±7.65 years) were included. The median (IQR) baseline RPD volume was 0.018 mm³ (0.004-0.52) and total drusen volume was 0.009 mm³ (0.001-0.064). Over 24.2±1.20 months, late AMD developed in 20 eyes (39.2%). In multivariable Cox regression models adjusted for age, each 0.01 mm³ increase in baseline RPD volume (HR: 1.082; p=0.002) and total drusen volume (HR: 1.080; p<0.001) were associated with progression to late AMD. In an exploratory drusen subtype analysis, progression to late AMD was independently associated with baseline RPD volume, large drusen volume and drusenoid PED volume.

conclusionThe deep learning-based volumetric segmentation tool allows OCT-derived automated volume quantification of different types of drusen based on OCT. In eyes with RPD and contralateral neovascular AMD, greater RPD volume and large drusen and/or drusenoid PED volume carried greater risk of developing late AMD in 2 years.

Indexed as

Age-Related Macular DegenerationArtificial IntelligenceImagingMacula

Identifiers

PMID42336620
PMCPMC13404850

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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.