Evidence map›Paper›PMID 40965041›Full record

Trial reportActa ophthalmologica2026

Fluid/function correlation using AI-based quantification versus central subfield thickness in treatment-naïve and pre-treated patients with neovascular AMD in a real-world setting.

Anna Eidenberger, Gregor S Reiter, Virginia Mares, Sophie Frank-Publig, Philipp Fuchs, Magdalena Baratsits, Markus Gumpinger, Georg Faustmann, Alexandra Miere, Catherine Creuzot-Garcher and 6 more

Abstract readRandomized Controlled TrialClinical Trial, Phase IIIMulticenter Study
In one paragraph

Trial report in Acta ophthalmologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Anna EidenbergerDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0009-0004-0254-9715
Gregor S ReiterDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-7661-4015
Virginia MaresDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Sophie Frank-PubligDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0009-0008-1848-2606
Philipp FuchsDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0009-0002-8718-9530
Magdalena BaratsitsDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Markus GumpingerLaboratory for Ophthalmic Image Analysis (OPTIMA), Medical University of Vienna, Vienna, Austria.
Georg FaustmannInstitute of Artificial Intelligence, Center of Medical Data Science, Medical University of Vienna, Vienna, Austria.
Alexandra MiereDepartment of Ophthalmology, Intercity Hospital of Créteil, University Paris-Est Créteil, Créteil, France.
Catherine Creuzot-GarcherDepartment of Ophthalmology, Dijon University Hospital, Dijon, France.ORCID https://orcid.org/0000-0002-3587-4598
Ulrike ScheschyDepartment of Ophthalmology, Horn Regional Hospital, Horn, Austria.
Laurent KodjikianService d'ophtalmologie, Croix Rousse Hospital, Hospices Civils de Lyon 1, Université de Lyon 1, Lyon, France.
Vincent GualinoOphthalmology Department, Clinique Honoré-Cave, Montauban, France.
Benjamin WolffMaison Rouge Eye Center, Strasbourg, France.ORCID https://orcid.org/0000-0003-4709-692X
Stefan SacuDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-4920-2231
Ursula Schmidt-ErfurthLaboratory for Ophthalmic Image Analysis (OPTIMA), Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-7788-7311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the association between best-corrected visual acuity (BCVA) and quantitative macular fluid volumes, compared to central subfield thickness (CST) in treatment-naïve and previously treated patients with active neovascular age-related macular degeneration (nAMD). METHODS AND ANALYSIS: Baseline data were collected from 290 eyes of 290 participants consecutively enrolled in a prospective, randomized phase III clinical trial. Intraretinal fluid (IRF), subretinal fluid (SRF) and pigment epithelial detachment (PED) volumes were quantified and localized using an MDR-certified AI algorithm (Fluid Monitor, RetInSight). Fluid volumes and CST were included in linear regression models for comparison.

resultsSignificantly greater IRF volumes within each macular region were observed in treatment-naïve patients, whereas larger PED volumes contributed to higher CST values in pretreated patients. In both subgroups, the largest proportion of BCVA variance could be explained by measuring IRF and SRF volumes within the entire 6-mm area (adjusted R

conclusionThe examination of IRF and SRF volumes significantly impacts BCVA in nAMD. The weaker association of CST highlights its limitations as a parameter of disease activity. These findings emphasize the necessity of distinct fluid volume quantification as a relevant surrogate for visual function loss or benefit in nAMD, with particular emphasis on treatment duration and fluid in regions beyond the central 1-mm.

Indexed as

Artificial IntelligenceMacula LuteaSubretinal FluidTomography, Optical CoherenceVisual AcuityWet Macular DegenerationAgedAged, 80 and overAlgorithmsAngiogenesis InhibitorsFemaleFluorescein AngiographyFollow-Up StudiesFundus OculiHumansIntravitreal InjectionsAngiogenesis InhibitorsRanibizumabVascular Endothelial Growth Factor Aanti‐VEGFartificial intelligencebiomarkermachine learningneovascular AMDoptical coherence tomographyretina

Identifiers

PMID40965041
PMCPMC13058690

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.