Evidence map›Paper›PMID 42059902›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2026

Choroidal vascularity across aging and the spectrum of age-related macular degeneration: an AI-based OCT study.

Benja Vahldiek, Lukas Heine, Anna Vahldiek, Jasper Schröter, Jan-Niklas Wolf, Michael Swora, Lars Reissberg, Laurenz Pauleikhoff, Jens Kleesiek, Daniel Pauleikhoff

Abstract read
In one paragraph

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

10 authors.

Benja VahldiekInstitute for AI in Medicine, University Medicine Essen, Essen, North-Rhine Westfalia, Germany. BenjaMarlene.Vahldiek@uk-essen.de.
Lukas HeineInstitute for AI in Medicine, University Medicine Essen, Essen, North-Rhine Westfalia, Germany.
Anna VahldiekInstitute for AI in Medicine, University Medicine Essen, Essen, North-Rhine Westfalia, Germany.
Jasper SchröterInstitute for AI in Medicine, University Medicine Essen, Essen, North-Rhine Westfalia, Germany.
Jan-Niklas WolfInstitute for AI in Medicine, University Medicine Essen, Essen, North-Rhine Westfalia, Germany.
Michael SworaInstitute for AMD Research, Münster, Germany.
Lars ReissbergInstitute for AMD Research, Münster, Germany.
Laurenz PauleikhoffDepartment of Ophthalmology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Jens KleesiekInstitute for AI in Medicine, University Medicine Essen, Essen, North-Rhine Westfalia, Germany.
Daniel PauleikhoffInstitute for AMD Research, Münster, Germany. dapauleikhoff@muenster.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo characterize the choroidal morphology across a spectrum of participants affected by normal aging as well as age-related macular degeneration (AMD) using various metrics.

methodsFour cohorts were analyzed: healthy young (n = 42), healthy elderly (n = 19), iAMD (n = 20), and treatment-naive nAMD eyes (n = 79). Quantification of choroidal volume (CV) and choroidal vessel volume (VV) resulting in choroidal vascularity index (CVI) as well as mean choroidal thickness (CT), vessel thickness (VT) and foveal vessel area (FVA) and vessel count (FVC) were derived from spectral-domain optical coherence tomography using an artificial intelligence (AI)-based semantic segmentation model with manual validation. Cohort differences were statistically assessed.

resultsAll choroidal parameters were reduced in healthy elderly, iAMD and nAMD eyes compared with young controls. While most of these reduced choroidal measurements were largely similar between healthy elderly, iAMD and nAMD eyes, only CVI and FVA showed a specific reduction in nAMD eyes.

conclusionsThis study demonstrates a decline in several choroidal parameters with age, which can be quantified using AI-based segmentations. While age-related reductions were comparable between elderly and iAMD eyes, a significantly higher reduction of the CVI and FVA was observed in eyes with nAMD which may indicate a more pronounced alteration of choroidal structure in this condition.

Indexed as

AgingChoroidMacular DegenerationRetinal VesselsTomography, Optical CoherenceAdultAgedAged, 80 and overFemaleFluorescein AngiographyFollow-Up StudiesFundus OculiHumansMaleMiddle AgedRetrospective StudiesAge-related macular degenerationAI analysisChoroidal morphologyCVIOCT

Identifiers

PMID42059902
PMCPMC13635024

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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.