Evidence map›Paper›PMID 42383222›Full record

ArticleOphthalmology science2026

Assessing Polypoidal Choroidal Vasculopathy-Related OCT Features in the TENAYA and LUCERNE Trials.

Kelvin Yi Chong Teo, Philippe Margaron, Timothy Y Y Lai, Won Ki Lee, Srinivas R Sadda, Giovanni Staurenghi, Shriji Patel, Chui Ming Gemmy Cheung

Abstract read
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Article in Ophthalmology 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.

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1 · What the graph read from it

What it found

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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

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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

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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.

Kelvin Yi Chong TeoSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Philippe MargaronF. Hoffmann-La Roche Ltd, Switzerland Department of Ophthalmology and Visual Sciences, Basel, Switzerland.
Timothy Y Y LaiThe Chinese University of Hong Kong Hong Kong Eye Hospital, Hong Kong, China.
Won Ki LeeNune Eye Hospital, Seoul, South Korea.
Srinivas R SaddaDoheny Eye Institute, David Geffen, School of Medicine, University of California- Los Angeles, Pasadena, California.
Giovanni StaurenghiDepartment of Biomedical and Clinical Sciences "Luigi Sacco, " Eye Clinic, University of Milan, Milan, Italy.
Shriji PatelGenentech, Inc., South San Francisco, California.
Chui Ming Gemmy CheungSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe OCT features associated with polypoidal choroidal vasculopathy (PCV) in the TENAYA and LUCERNE clinical trial cohorts. Design: Imaging analysis within 2 multinational, double-masked, randomized controlled phase III trials. Subjects: Participants with treatment-naïve neovascular age-related macular degeneration enrolled in TENAYA and LUCERNE with baseline OCT and in a subset, baseline indocyanine green angiography (ICGA). Methods: Previously described OCT features associated with PCV were evaluated among 1329 participants. Two major OCT features were evaluated (sharp-peaked pigment epithelial detachment [SPED] and sub-retinal pigment epithelium ring-like lesion) to determine the occurrence of OCT-defined PCV. Subretinal fluid, intraretinal fluid (IRF), and hyperreflective material (HRM), were compared between OCT-defined PCV and non-PCV eyes. A sensitivity analysis was performed in the subset of eyes with available ICGA to assess concordance between OCT and ICGA-confirmed PCV. Main Outcome Measures: Occurrence of OCT-defined PCV and distribution of OCT-based disease activity biomarkers by PCV status. Results: Using the 2 major OCT criteria, 88 (6.7%) of eyes were classified as OCT-defined PCV. Fewer OCT-defined PCV eyes had IRF and HRM compared with non-PCV eyes (27.3% vs. 45.5%, Conclusions: Using 2 Asia-Pacific Ocular Imaging Society major OCT features, OCT-based diagnostic strategy may help triage or screen for PCV when ICGA is unavailable. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

LUCERNENeovascular Age-Related Macular Degeneration (nAMD)Optical coherence tomography (OCT)Polypoidal Choroidal Vasculopathy (PCV)TENAYA

Identifiers

PMID42383222
PMCPMC13316682

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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.