Evidence map›Paper›PMID 40067294›Full record

ArticleInvestigative ophthalmology & visual science2025

Structure-Function Correlation of Deep-Learning Quantified Ellipsoid Zone and Retinal Pigment Epithelium Loss and Microperimetry in Geographic Atrophy.

Klaudia Birner, Gregor S Reiter, Irene Steiner, Azin Zarghami, Amir Sadeghipour, Simon Schürer-Waldheim, Markus Gumpinger, Hrvoje Bogunovic, Ursula Schmidt-Erfurth

Abstract read
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Article in Investigative ophthalmology & visual science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Klaudia BirnerDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Gregor S ReiterDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Irene SteinerCenter for Medical Data Science, Institute of Medical Statistics, Medical University of Vienna, Vienna, Austria.
Azin ZarghamiDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Amir SadeghipourRetInSight, Vienna, Austria.
Simon Schürer-WaldheimDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Markus GumpingerDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Hrvoje BogunovicDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Ursula Schmidt-ErfurthDepartment of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to define structure-function correlation of geographic atrophy (GA) on optical coherence tomography (OCT) and functional testing on microperimetry (MP) based on deep-learning (DL)-quantified spectral-domain OCT (SD-OCT) biomarkers. Methods: Patients with GA were prospectively examined by SD-OCT (Spectralis, 97 B-scans) and two microperimetry devices (MP3 and MAIA) in two combined test runs each. DL-algorithms measured the ellipsoid-zone thickness (EZT), ellipsoid-zone loss (EZL), hyper-reflective-foci (HRF) volume, drusen-volume (DV), and retinal-pigment-epithelium loss (RPEL) area. Pointwise co-registration was established between all stimuli and the location on OCT. A multivariable mixed-effect model with variable selection was used to identify pointwise retinal sensitivity (PWS) changes for each biomarker, accounting for age and eccentricity. Results: Three thousand six hundred stimuli points were collected and correlated with 1940 OCT B-scans in 20 eyes of 20 patients. PWS was significantly lower in stimuli with EZL without RPEL (-2.81, 95% confidence interval [CI] = -3.72 to -1.91 decibel [dB], 0 degrees, P < 0.0001) and in areas with both EZL and RPEL (-10.03, 95% CI = -10.96 to -9.11 dB, 0 degrees, P < 0.0001) compared to areas without any atrophy. Increased EZT had a significant positive effect on PWS (0.34, 95% CI = 0.32 to 0.36 dB/µm, P < 0.0001). Structure-function correlations were consistent throughout all levels of eccentricity with P < 0.001. Drusen and HRF volume, but not age, were associated with reduced PWS. Conclusions: Functional impairment by MP was associated with defined morphological changes as quantified by DL on OCT. PR degeneration seen as EZL alone impairs the function on MP examinations. The combination of DL-based SD-OCT biomarker assessment and MP appear suited for evaluation of retinal function beyond visual acuity for disease monitoring.

Indexed as

Deep LearningGeographic AtrophyRetinal Pigment EpitheliumVisual FieldsVisual Field TestsAgedAged, 80 and overFemaleHumansMaleMiddle AgedProspective StudiesTomography, Optical CoherenceVisual Acuity

Identifiers

PMID40067294
PMCPMC11918028

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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.