Evidence map›Paper›PMID 39199806›Full record

ArticleBioengineering (Basel, Switzerland)2024

Measuring Geographic Atrophy Area Using Column-Based Machine Learning Software on Spectral-Domain Optical Coherence Tomography versus Fundus Auto Fluorescence.

Or Shmueli, Adi Szeskin, Ilan Benhamou, Leo Joskowicz, Yahel Shwartz, Jaime Levy

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. 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

6 authors.

Or ShmueliDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Ein-Karem, Jerusalem 91120, Israel.ORCID 0000-0003-3718-2664
Adi SzeskinSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat-Ram, Jerusalem 9190401, Israel.ORCID 0000-0002-3397-7964
Ilan BenhamouSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat-Ram, Jerusalem 9190401, Israel.ORCID 0009-0006-2639-4388
Leo JoskowiczSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat-Ram, Jerusalem 9190401, Israel.ORCID 0000-0002-3010-4770
Yahel ShwartzDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Ein-Karem, Jerusalem 91120, Israel.
Jaime LevyDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Ein-Karem, Jerusalem 91120, Israel.ORCID 0000-0003-0043-4354

Funding

Hebrew University of Jerusalem Integra grant
6 · The paper itself

Abstract

backgroundThe purpose of this study was to compare geographic atrophy (GA) area semi-automatic measurement using fundus autofluorescence (FAF) versus optical coherence tomography (OCT) annotation with the cRORA (complete retinal pigment epithelium and outer retinal atrophy) criteria.

methodsGA findings on FAF and OCT were semi-automatically annotated at a single time point in 36 pairs of FAF and OCT scans obtained from 36 eyes in 24 patients with dry age-related macular degeneration (AMD). The GA area, focality, perimeter, circularity, minimum and maximum Feret diameter, and minimum distance from the center were compared between FAF and OCT annotations.

resultsThe total GA area measured on OCT was 4.74 ± 3.80 mm

conclusionsWe report that the GA area measured on FAF differs significantly from the GA area measured on OCT. Further research is warranted in order to determine the clinical relevance of these findings.

Indexed as

autofluorescencegeographic atrophymeasurementoptical coherence tomography

Identifiers

PMID39199806
PMCPMC11351153

What Socratic holds

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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 Socratic graph.