Evidence map›Paper›PMID 41876602›Full record

ArticleScientific reports2026

Correlation between human expert macular fluid height assessment and fluid volume quantification in neovascular age-related macular degeneration.

Stefan Steiner, Bianca S Gerendas, Gabor Deak, Oliver Leingang, Ariadne Whitby, Hrvoje Bogunovic, Gregor S Reiter, Ursula Schmidt-Erfurth

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2026. 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

8 authors.

Stefan SteinerDepartment of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Bianca S GerendasDepartment of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Gabor DeakDepartment of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Oliver LeingangRetInSight, Vienna, Austria.
Ariadne WhitbyRetInSight, Vienna, Austria.
Hrvoje BogunovicInstitute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Gregor S ReiterDepartment of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Ursula Schmidt-ErfurthDepartment of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. ursula.schmidt-erfurth@meduniwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the association between manually measured retinal fluid heights and AI-quantified retinal fluid volumes and to explore disease activity indicated by fluid volume distributions in neovascular age-related macular degeneration (nAMD) using an approved AI-based algorithm. This retrospective study analyzed baseline OCT data from a multicenter nAMD cohort. Manually measured maximum macular fluid heights on B-scans in the central millimeter (CMM) for intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED) were compared with vertical fluid heights and three-dimensional volumes obtained by automated quantification using an AI-based tool (RetInSight Fluid Monitor Version 2). Out of 890 eyes, IRF was identified in the CMM in 328 eyes, SRF in 502 eyes, and PED in 705 eyes. The correlation between manual and AI-based height measurements was strong for IRF (r = 0.87) and PED (r = 0.91), and moderate for SRF (r = 0.67). Manual height-AI volume correlations within the CMM were strong for IRF (r = 0.76) and PED (r = 0.87), and moderate for SRF (r = 0.55). These correlations decreased when total fluid volumes within the central 6 mm were compared with manual CMM height, indicating that CMM height does not represent total nAMD disease activity. In conclusion, AI-derived and manual height measurements showed strong agreement for IRF and PED and moderate agreement for SRF. Maximum fluid height did not reliably reflect overall fluid volume or spatial distribution. AI-based retinal fluid assessment enables quantitative, whole-volume evaluation of retinal fluid and provides a measure of nAMD disease activity.

Indexed as

Macula LuteaMacular DegenerationSubretinal FluidAgedAged, 80 and overAlgorithmsFemaleHumansMaleRetrospective StudiesTomography, Optical CoherenceAge-related macular degenerationArtificial intelligenceDeep learningFluid quantificationIntraretinal fluidOptical coherence tomographyPigment epithelial detachmentSubretinal fluid

Identifiers

PMID41876602
PMCPMC13168633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.