Evidence map›Paper›PMID 39903180›Full record

ArticleInvestigative ophthalmology & visual science2025

Targeted Microperimetry Grids for Focal Lesions in Intermediate AMD: PINNACLE Study Report 7.

Stefan Futterknecht, Philipp Anders, Julia Mai, Sophie Riedl, Ursula Hall, Chrysoula Gabrani, Kristina Pfau, Martin J Menten, Daniel Rueckert, A Toby Prevost and 7 more

Abstract readMulticenter Study
In one paragraph

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

17 authors.

Stefan FutterknechtInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Philipp AndersVista Klinik, Binningen, Switzerland.
Julia MaiLaboratory for Ophthalmic Image Analysis, Medizinische Universität Wien, Wien, Austria.
Sophie RiedlLaboratory for Ophthalmic Image Analysis, Medizinische Universität Wien, Wien, Austria.
Ursula HallInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Chrysoula GabraniInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Kristina PfauDepartment of Ophthalmology, Universitätsspital Basel, Basel, Switzerland.
Martin J MentenBioMedIA, Department of Computing, Imperial College London, London, United Kingdom.
Daniel RueckertBioMedIA, Department of Computing, Imperial College London, London, United Kingdom.
A Toby PrevostNightingale-Saunders Clinical Trials and Epidemiology Unit, King's College London, London, United Kingdom.
Hrvoje BogunovicInstitute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Wien, Austria.
Lars G FritscheDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States.
Ursula Schmidt-ErfurthLaboratory for Ophthalmic Image Analysis, Medizinische Universität Wien, Wien, Austria.
Sobha SivaprasadNational Institute of Health and Care Research Moorfields Biomedical Research Centre Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
Andrew LoteryUniversity of Southampton Faculty of Medicine, Southampton, United Kingdom.
Hendrik P N SchollInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.
Maximilian PfauInstitute of Molecular and Clinical Ophthalmology Basel, Basel, Switzerland.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Purpose: The purpose of this study was to evaluate the feasibility and utility of optical coherence tomography (OCT)-based, targeted microperimetry grids in assessing focal lesions in intermediate age-related macular degeneration (iAMD). Methods: The multicenter, prospective PINNACLE study enrolled 395 patients with iAMD aged 55 to 90 years across 12 international sites. Participants underwent imaging, including OCT and microperimetry, every 4 to 12 months over 3 years. Deep learning algorithms detected focal lesions and changes in OCT images, including drusen regression, EZ/IZ loss with hypertransmission, and subretinal fluid, guiding 5-point microperimetry targeted to lesion locations. Data were analyzed using linear mixed models to estimate differences between retinal sensitivity measured by the 5-point focal grids and sensitivity interpolated from the 24-point standard grids. Results: The final analysis included 93 eyes from 83 patients, assessing 605 of the 5-point targeted grids and standard grids across 235 focal lesions. The Pearson correlation between focally measured sensitivity and interpolated sensitivity was 0.76. However, interpolation from the standard grid could be erroneous, especially in central regions of lesions characterized by EZ/IZ loss with hypertransmission and subretinal fluid. Interpolation errors increased with distance to the nearest measurement point (slope = 2.20 dB per degree, 95% confidence interval [CI] = 1.52 to 2.87). A significant negative relationship was found between interpolation errors and retinal sensitivity, with the highest errors in areas of low sensitivity. Lesion size significantly impacted interpolation errors for EZ/IZ loss with hypertransmission (slope = -19.41 dB/mm², 95% CI = -29.63 to -9.18). Conclusions: Targeted grids improved the detection and understanding of how focal retinal changes affect visual function in patients with iAMD, supporting the development of therapeutic interventions.

Indexed as

Macular DegenerationRetinaTomography, Optical CoherenceVisual FieldsVisual Field TestsAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleMiddle AgedProspective StudiesVisual Acuity

Identifiers

PMID39903180
PMCPMC11801386

What Socratic holds

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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 Socratic graph.