Evidence map›Paper›PMID 37046527›Full record

ArticleDiagnostics (Basel, Switzerland)2023

CNV-Net: Segmentation, Classification and Activity Score Measurement of Choroidal Neovascularization (CNV) Using Optical Coherence Tomography Angiography (OCTA).

Mahsa Vali, Behzad Nazari, Saeed Sadri, Elias Khalili Pour, Hamid Riazi-Esfahani, Hooshang Faghihi, Nazanin Ebrahimiadib, Momeneh Azizkhani, Will Innes, David H Steel and 3 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
  4. Article
  5. Article
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  8. Review
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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

13 authors.

Mahsa ValiDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.ORCID 0000-0002-8443-7749
Behzad NazariDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
Saeed SadriDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran.
Elias Khalili PourRetina Ward, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran 14176-13151, Iran.
Hamid Riazi-EsfahaniRetina Ward, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran 14176-13151, Iran.ORCID 0000-0003-2277-398X
Hooshang FaghihiRetina Ward, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran 14176-13151, Iran.
Nazanin EbrahimiadibRetina Ward, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran 14176-13151, Iran.ORCID 0000-0002-2058-9225
Momeneh AzizkhaniRetina Ward, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran 14176-13151, Iran.
Will InnesRoyal Victoria Infirmary Eye Department, Newcastle Upon Tyne Hospitals NHS foundation Trust, Newcastle upon Tyne NE1 4LP, UK.
David H SteelSunderland Eye Infirmary, Sunderland SR2 9HP, UK.
Anya HurlbertCenter for Transformative Neuroscience and Institute of Biosciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Jenny C A ReadCenter for Transformative Neuroscience and Institute of Biosciences, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Rahele KafiehMedical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan 81746-73461, Iran.ORCID 0000-0003-0087-9476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to present an artificial intelligence-based algorithm for the automated segmentation of Choroidal Neovascularization (CNV) areas and to identify the presence or absence of CNV activity criteria (branching, peripheral arcade, dark halo, shape, loop and anastomoses) in OCTA images. Methods: This retrospective and cross-sectional study includes 130 OCTA images from 101 patients with treatment-naïve CNV. At baseline, OCTA volumes of 6 × 6 mm

Indexed as

activity score measurementchoroidal neovascularisationclassificationoptical coherence tomography angiographysegmentation

Identifiers

PMID37046527
PMCPMC10093691

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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.