Evidence map›Paper›PMID 40103834›Full record

ArticleOphthalmology science

Radiomic Feature Extraction from OCT Angiography of Idiopathic Epiretinal Membranes and Correlation with Visual Acuity: A Pilot Study.

Maria Cristina Savastano, Marica Vagni, Matteo Mario Carlà, Huong Elena Tran, Claudia Fossataro, Valentina Cestrone, Francesco Boselli, Federico Giannuzzi, Sofia Marcelli, Ilaria Biagini and 2 more

Abstract read
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Radiomics-Based Fundus Photography Analysis in Diabetic Retinopathy.Translational vision science & technology · 2026
    Article
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

12 authors.

Maria Cristina SavastanoOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Marica VagniCatholic University "Sacro Cuore," Rome, Italy.
Matteo Mario CarlàOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Huong Elena TranDiagnostic Imaging and Radiation Oncology, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Claudia FossataroOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Valentina CestroneOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Francesco BoselliOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Federico GiannuzziOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Sofia MarcelliOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Ilaria BiaginiOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Luca BoldriniDiagnostic Imaging and Radiation Oncology, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.
Stanislao RizzoOphthalmology Department, "Fondazione Policlinico Universitario A. Gemelli, IRCCS," Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the correlation between radiomics features extracted from OCT angiography (OCTA) of epiretinal membranes (ERMs) and baseline best-corrected visual acuity (BCVA). Design: Retrospective observational monocentric study. Participants: Eighty-three eyes affected by idiopathic ERMs, categorized into low (≤70 letters) and high (70 letters) BCVA groups. Methods: The central 3 × 3 mm Main Outcome Measures: The 4 selected informative radiomic features were as follows: the difference average (glcm_DifferenceAverage), quantifying the average difference in gray-level between neighboring pixels; the informational measure of correlation (glcm_Imc1), giving information about the spatial correlation of pixel intensities inside the image; the long run low gray-level emphasis (glrlm_LongRunLowGrayLevelEmphasis), highlighting long segments of low gray-level values within the image; and the large area emphasis (glszm_LargeAreaEmphasis), which quantifies the tendency for larger zones of uniform intensity to occur. Results: No features exhibited a statistically significant difference between low and high BCVA values for the superficial and deep retinal slabs. Conversely, in the choriocapillaris layer, the glcm_DifferenceAverage and glcm_Imc1 features were significantly higher in the high BCVA group ( Conclusions: Radiomics features of the choriocapillaris in idiopathic ERMs showed a correlation with BCVA, with lower structural complexity and higher homogeneity, together with the presence of homogeneous areas with low-intensity pixel values, reflecting flow voids due to reduced microvascular perfusion, and were correlated with lower visual acuity. Financial Disclosures: The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Indexed as

ChoriocapillarisEpiretinal membraneOCT angiography (OCTA)Radiomics

Identifiers

PMID40103834
PMCPMC11919415

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.