Evidence mapPaperPMID 37580598Full record

ArticleEuropean radiology2024

Evaluation of left ventricular and left atrial volumetric function from native MR multislice 4D flow magnitude data.

Clemens Reiter, Gert Reiter, Corina Kräuter, Daniel Scherr, Albrecht Schmidt, Michael Fuchsjäger, Ursula Reiter

Registry-linked trialAbstract read
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01728597 (Optimization of Non-contrast Enhanced 1.5 Tesla and 3 Tesla Cardiac Magnetic Resonance Imaging Techniques and Acquisition of Normal Values), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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.

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
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Clemens ReiterDivision of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria.
Gert ReiterDivision of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria.
Corina KräuterDivision of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria.
Daniel ScherrDivision of Cardiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
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, Auenbruggerplatz 9/P, 8036, Graz, Austria.
Ursula ReiterDivision of General Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9/P, 8036, Graz, Austria. ursula.reiter@medunigraz.at.ORCID http://orcid.org/0000-0002-4374-2528

Funding

Oesterreichische Nationalbank 17934
6 · The paper itself

Abstract

objectivesTo assess the feasibility, precision, and accuracy of left ventricular (LV) and left atrial (LA) volumetric function evaluation from native magnetic resonance (MR) multislice 4D flow magnitude images. MATERIALS &

methodsIn this prospective study, 60 subjects without signs or symptoms of heart failure underwent 3T native cardiac MR multislice 4D flow and bSSFP-cine realtime imaging. LV and LA volumetric function parameters were evaluated from 4D flow magnitude (4D flow-cine) and bSSFP-cine data using standard software to obtain end-diastolic volume (EDV), end-systolic volume (ESV), ejection-fraction (EF), stroke-volume (SV), LV muscle mass (LVM), LA maximum volume, LA minimum volume, and LA total ejection fraction (LATEF). Stroke volumes derived from both imaging methods were further compared to 4D pulmonary artery flow-derived net forward volumes (NFV). Methods were compared by correlation and Bland-Altman analysis.

resultsVolumetric function parameters from 4D flow-cine and bSSFP-cine showed high to very high correlations (r = 0.83-0.98). SV, LA volumes and LATEF did not differ between methods. LV end-diastolic and end-systolic volumes were slightly underestimated (EDV: -2.9 ± 5.8 mL; ESV: -2.3 ± 3.8 mL), EF was slightly overestimated (EF: 0.9 ± 2.6%), and LV mass was considerably overestimated (LVM: 39.0 ± 11.4 g) by 4D flow-cine imaging. SVs from both methods correlated very highly with NFV (r = 0.91 in both cases) and did not differ from NFV.

conclusionNative multislice 4D flow magnitude data allows precise evaluation of LV and LA volumetric parameters; however, apart from SV, LV volumetric parameters demonstrate bias and need to be referred to their respective normal values. CLINICAL RELEVANCE STATEMENT: Volumetric function assessment from native multislice 4D flow magnitude images can be performed with routinely used clinical software, facilitating the application of 4D flow as a one-stop-shop functional cardiac MR exam, providing consistent, simultaneously acquired, volume and flow data. KEY POINTS: • Native multislice 4D flow imaging allows evaluation of volumetric left ventricular and atrial function parameters. • Left ventricular and left atrial function parameters derived from native multislice 4D flow data correlate highly with corresponding standard cine-derived parameters. • Multislice 4D flow-derived volumetric stroke volume and net forward volume do not differ.

Indexed as

Atrial Function, LeftMagnetic Resonance ImagingHeart VentriclesHumansMagnetic Resonance Imaging, CineProspective StudiesReproducibility of ResultsStroke VolumeVentricular Function, LeftCardiovascular systemDiagnostic imagingHeart function testsMagnetic resonance imagingValidation study

Identifiers

PMID37580598
PMCPMC10853296

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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 Socratic graph.