Evidence map›Paper›PMID 40999046›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2025

AI-based fluid quantification in neovascular age-related macular degeneration and diabetic macular edema treated with faricimab - a real-life study.

Anna Theresa Lorenz, André Marcio Messias, Warda Darwisch, Philipp Ken Roberts, Karl Thomas Boden, Peter Szurman, Boris Viktor Stanzel

Abstract read
In one paragraph

Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 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

7 authors.

Anna Theresa LorenzEye Clinic Sulzbach, Knappschaftsklinikum Saar GmbH Krankenhaus Sulzbach, An d. Klinik 10, 66280, Sulzbach, Saar, Germany.
André Marcio MessiasEye Clinic Sulzbach, Knappschaftsklinikum Saar GmbH Krankenhaus Sulzbach, An d. Klinik 10, 66280, Sulzbach, Saar, Germany.
Warda DarwischEye Clinic Sulzbach, Knappschaftsklinikum Saar GmbH Krankenhaus Sulzbach, An d. Klinik 10, 66280, Sulzbach, Saar, Germany.
Philipp Ken RobertsEye Clinic Sulzbach, Knappschaftsklinikum Saar GmbH Krankenhaus Sulzbach, An d. Klinik 10, 66280, Sulzbach, Saar, Germany.
Karl Thomas BodenEye Clinic Sulzbach, Knappschaftsklinikum Saar GmbH Krankenhaus Sulzbach, An d. Klinik 10, 66280, Sulzbach, Saar, Germany.
Peter SzurmanEye Clinic Sulzbach, Knappschaftsklinikum Saar GmbH Krankenhaus Sulzbach, An d. Klinik 10, 66280, Sulzbach, Saar, Germany.
Boris Viktor StanzelEye Clinic Sulzbach, Knappschaftsklinikum Saar GmbH Krankenhaus Sulzbach, An d. Klinik 10, 66280, Sulzbach, Saar, Germany. Boris.Stanzel@kksaar.de.ORCID http://orcid.org/0000-0002-4316-1539

Funding

Roche Deutschland SL45295
6 · The paper itself

Abstract

purposeTo assess faricimab treatment in neovascular age-related macular degeneration (nAMD) and diabetic macular edema (DME) with artificial intelligence-based fluid quantification on spectral-domain optical coherence tomography (SD-OCT).

methodsRetrospective patients with nAMD and DME; treatment-naïve, or on another intravitreal medication (switchers), loaded with 4 monthly intravitreal faricimab. SD-OCT (Heidelberg Engineering) at baseline and 16 weeks, then processed using the Fluid Monitor® (RetInSight). Sum of fluid volumes in the central 1 mm (pigment epithelial detachment, subretinal fluid, and intraretinal fluid) was computed (SF) and correlated with central subfield thickness (CST).

resultsThirty-four nAMD (25 switchers) and 21 DME (20 switchers) eyes were included. SF (nL) was 126.68 ± 17.24 and 37.84 ± 8.31 at baseline reduced to 80.78 ± 15.56 (p < 0.0001) and 15.28 ± 4.94 (p < 0.0001) for nAMD and DME, respectively. CST (µm) reduced from 405.12 ± 24.95 and 354.97 ± 15.89 to 320.33 ± 19.80 (p = 0.0001) and 302.41 ± 11.55 (p < 0.0001) in nAMD and DME, respectively. Mean intraindividual change between baseline and 16 weeks was larger using SF than with CST for nAMD (36.5% and 17.6%, respectively) and for DME (56.2% and 13.1%, respectively). A similar pattern was observed for each retinal compartment.

conclusionWhen loaded with faricimab, total fluid decreased by 37% in nAMD and 56% in DME. Fluid volumetry appears more sensitive for retinal fluid. TRANSLATIONAL RELEVANCE: When AI-fluid volumetry is applied real-world nAMD and DME cases, then fluid volume offers a more sensitive and quantifiable measure of disease activity than CST.

Indexed as

Artificial IntelligenceDiabetic RetinopathyMacula LuteaMacular EdemaSubretinal FluidTomography, Optical CoherenceVisual AcuityWet Macular DegenerationAgedAged, 80 and overAngiogenesis InhibitorsAntibodies, BispecificFemaleFluorescein AngiographyFollow-Up StudiesFundus OculiAngiogenesis InhibitorsAntibodies, BispecificfaricimabArtificial intelligence (AI)DMEFaricimabFluid quantificationNAMDOptical coherence tomography

Identifiers

PMID40999046
PMCPMC12886225

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LicenceCC BY
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Registered trials

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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.