Evidence map›Paper›PMID 31941079›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Timely-Automatic Procedure for Estimating the Endocardial Limits of the Left Ventricle Assessed Echocardiographically in Clinical Practice.

Darian M Onchis, Codruta Istin, Cristina Tudoran, Mariana Tudoran, Pedro Real

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 64% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Cardio-Diagnostic Assisting Computer System.Diagnostics (Basel, Switzerland) · 2020
    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

5 authors at 4 institutions in 2 countries.

Darian M OnchisDepartment of Computer Science, West University of Timisoara, 300223 Timisoara, Romania.ORCID 0000-0003-4846-3752
Codruta IstinDepartment of Computers and Information Technology, Politehnica University of Timisoara, 300006 Timisoara, Romania.
Cristina TudoranDepartment VII, Internal Medicine II, Discipline of Cardiology, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0002-7351-741X
Mariana TudoranDepartment VII, Internal Medicine II, Discipline of Cardiology, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0001-8989-5899
Pedro RealDepartment of Applied Mathematics I, University of Seville, 41004 Sevilla, Spain.
Victor Babeș University of Medicine and Pharmacy Timișoara · ROPolytechnic University of Timişoara · ROUniversidad de Sevilla · ESWest University of Timişoara · RO

Funding

Austrian Science Fund P27516
6 · The paper itself

Abstract

In this paper, we propose an analytical rapid method to estimate the endocardial borders of the left ventricular walls on echocardiographic images for prospective clinical integration. The procedure was created as a diagnostic support tool for the clinician and it is based on the use of the anisotropic generalized Hough transform. Its application is guided by a Gabor-like filtering for the approximate delimitation of the region of interest without the need for computing further anatomical characteristics. The algorithm is applying directly a deformable template on the predetermined filtered region and therefore it is responsive and straightforward implementable. For accuracy considerations, we have employed a support vector machine classifier to determine the confidence level of the automated marking. The clinical tests were performed at the Cardiology Clinic of the County Emergency Hospital Timisoara and they improved the physicians perception in more than 50% of the cases. The report is concluded with medical discussions.

Indexed as

echocardiographic diagnosticsGabor–Hough algorithmleft ventricle wall

Identifiers

PMID31941079
PMCPMC7169403
OpenAlexW2999334680

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.