Evidence map›Paper›PMID 32557819›Full record

ArticleMagnetic resonance in medicine2020

Automated mitral valve vortex ring extraction from 4D-flow MRI.

Corina Kräuter, Ursula Reiter, Clemens Reiter, Volha Nizhnikava, Marc Masana, Albrecht Schmidt, Michael Fuchsjäger, Rudolf Stollberger, Gert Reiter

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 17% 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.

NCT01728597 recruitingnot on this map

Optimization of Non-contrast Enhanced 1.5 Tesla and 3 Tesla Cardiac Magnetic Resonance Imaging Techniques and Acquisition of Normal Values

TypeobservationalSponsorMedical University of GrazRan2011 to 2027Enrolled200ConditionsHealthy
NCT03253835 enrolling by invitationnot on this map

Cardiac Blood Flow Patterns Associated With Regional and Global Left Ventricular Myocardial Damage: an Explorative Study by Cardiac Magnetic Resonance

TypeobservationalSponsorMedical University of GrazRan2013 to 2027Enrolled150ConditionsCardiomyopathies, Myocardial Injury, HealthyArmsSingle Group Assignment
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 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

9 authors at 3 institutions in 2 countries.

Corina KräuterInstitute of Medical Engineering, Graz University of Technology, Graz, Austria.ORCID 0000-0003-0403-8236
Ursula ReiterDivision of General Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.ORCID 0000-0002-4374-2528
Clemens ReiterDivision of General Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.
Volha NizhnikavaDivision of General Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.
Marc MasanaComputer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID 0000-0003-3254-3096
Albrecht SchmidtDivision of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Michael FuchsjägerDivision of General Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.
Rudolf StollbergerInstitute of Medical Engineering, Graz University of Technology, Graz, Austria.ORCID 0000-0002-4969-3878
Gert ReiterDivision of General Radiology, Department of Radiology, Medical University of Graz, Graz, Austria.
Medical University of Graz · ATGraz University of Technology · ATUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo present and validate a method for automated extraction and analysis of the temporal evolution of the mitral valve (MV) vortex ring from MR 4D-flow data.

methodsThe proposed algorithm uses the divergence-free part of the velocity vector field for Q criterion-based identification and tracking of MV vortex ring core and region within the left ventricle (LV). The 4D-flow data of 20 subjects (10 healthy controls, 10 patients with ischemic heart disease) were used to validate the algorithm against visual analysis as well as to assess the method's sensitivity to manual LV segmentation. Quantitative MV vortex ring parameters were analyzed with respect to both their differences between healthy subjects and patients and their correlation with transmitral peak velocities.

resultsThe algorithm successfully extracted MV vortex rings throughout the entire cardiac cycle, which agreed substantially with visual analysis (Cohen's kappa = 0.77). Furthermore, vortex cores and regions were robustly detected even if a static end-diastolic LV segmentation mask was applied to all frames (Dice coefficients 0.82 ± 0.08 and 0.94 ± 0.02 for core and region, respectively). Early diastolic MV vortex ring vorticity, kinetic energy and circularity index differed significantly between healthy controls and patients. In contrast to vortex shape parameters, vorticity and kinetic energy correlated strongly with transmitral peak velocities.

conclusionAn automated method for temporal MV vortex ring extraction demonstrating robustness with respect to LV segmentation strategies is introduced. Quantitative vortex parameter analysis indicates importance of the MV vortex ring for LV diastolic (dys)function.

Indexed as

Magnetic Resonance ImagingMitral ValveAlgorithmsBlood Flow VelocityDiastoleHeart VentriclesHumansVentricular Function, Left4D-flowblood flowleft ventriclemitral valve vortex ringQ criterionvortex parameter

Identifiers

PMID32557819
PMCPMC7540523
OpenAlexW3036443662

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Registered trials

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.