Evidence map›Paper›PMID 33520378›Full record

ArticleBiomedical optics express2021

OCT-OCTA segmentation: combining structural and blood flow information to segment Bruch's membrane.

Julia Schottenhamml, Eric M Moult, Stefan B Ploner, Siyu Chen, Eduardo Novais, Lennart Husvogt, Jay S Duker, Nadia K Waheed, James G Fujimoto, Andreas K Maier

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  4. Robust AMD Stage Grading with Exclusively OCTA Modality Leveraging 3D Volume.... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision · 2023
    Article
  5. 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

10 authors at 3 institutions in 3 countries.

Julia SchottenhammlPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91058, Germany.
Eric M MoultDepartment of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Stefan B PlonerPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91058, Germany.ORCID https://orcid.org/0000-0003-4286-8687
Siyu ChenDepartment of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Eduardo NovaisNew England Eye Center, Tufts Medical Center, Boston, MA 02116, USA.
Lennart HusvogtPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91058, Germany.ORCID https://orcid.org/0000-0002-7318-2680
Jay S DukerNew England Eye Center, Tufts Medical Center, Boston, MA 02116, USA.
Nadia K WaheedNew England Eye Center, Tufts Medical Center, Boston, MA 02116, USA.
James G FujimotoDepartment of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Andreas K MaierPattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, 91058, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEMassachusetts Institute of Technology · USTufts Medical Center · US

Funding

Novel Optical Diagnostics with Optical Coherence TomographyR01EY011289 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAMES G FUJIMOTO · 1995 to 2026
$9.5M
NEI NIH HHS R01 EY011289
6 · The paper itself

Abstract

In this paper we present a fully automated graph-based segmentation algorithm that jointly uses optical coherence tomography (OCT) and OCT angiography (OCTA) data to segment Bruch's membrane (BM). This is especially valuable in cases where the spatial correlation between BM, which is usually not visible on OCT scans, and the retinal pigment epithelium (RPE), which is often used as a surrogate for segmenting BM, is distorted by pathology. We validated the performance of our proposed algorithm against manual segmentation in a total of 18 eyes from healthy controls and patients with diabetic retinopathy (DR), non-exudative age-related macular degeneration (AMD) (early/intermediate AMD, nascent geographic atrophy (nGA) and drusen-associated geographic atrophy (DAGA) and geographic atrophy (GA)), and choroidal neovascularization (CNV) with a mean absolute error of ∼0.91 pixel (∼4.1 μm). This paper suggests that OCT-OCTA segmentation may be a useful framework to complement the growing usage of OCTA in ophthalmic research and clinical communities.

Identifiers

PMID33520378
PMCPMC7818963
OpenAlexW3105424014

What OpenQuestion holds

Textmetadata
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.