Evidence map›Paper›PMID 35204422›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Semi-Automated Quantification of Retinal and Choroidal Biomarkers in Retinal Vascular Diseases: Agreement of Spectral-Domain Optical Coherence Tomography with and without Enhanced Depth Imaging Mode.

Lucy J Kessler, Dmitrii Bagautdinov, Grzegorz Łabuz, Gerd U Auffarth, Ramin Khoramnia

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Lucy J KesslerDepartment of Ophthalmology, University of Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-5322-9875
Dmitrii BagautdinovDepartment of Ophthalmology, University of Heidelberg, 69120 Heidelberg, Germany.
Grzegorz ŁabuzDepartment of Ophthalmology, University of Heidelberg, 69120 Heidelberg, Germany.
Gerd U AuffarthDepartment of Ophthalmology, University of Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-6927-5251
Ramin KhoramniaDepartment of Ophthalmology, University of Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-6237-7773
Heidelberg University · DEKarlsruhe Institute of Technology · DE

Funding

Heidelberg Karlsruhe Strategic Partnership no grant number available
6 · The paper itself

Abstract

backgroundWe compared with and without enhanced depth imaging mode (EDI) in semi-automated quantification of retinal and choroidal biomarkers in optical coherence tomography (OCT) in patients with diabetic retinopathy (DR) or retinal vein occlusion (RVO) complicated by macular edema. We chose to study three OCT biomarkers: the numbers of hyperreflective foci (HF), the ellipsoid zone reflectivity ratio (EZR) and the choroidal vascularity index (CVI), all known to be correlated with visual acuity changes or treatment outcomes.

methodsIn a single examination, one eye of each patient (

resultsFor the entire cohort, quantification of all three biomarkers was not significantly different in SD-OCT scans with and without EDI mode (

conclusionQuantification of EZR and CVI was comparable whether or not EDI mode was used. In conclusion, both retinal and choroidal biomarkers can be quantified from one single 870 nm SD-OCT EDI image.

Indexed as

automated quantificationbiomarkerschoroidal vascularity indexellipsoid zone reflectivity ratioenhanced depth imaginghyperreflective focioptical coherence tomography angiographyretinal vascular diseases

Identifiers

PMID35204422
PMCPMC8871461
OpenAlexW4210427561

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.