Evidence map›Paper›PMID 39294533›Full record

ArticleEJNMMI research2024

Quantitation of mitral regurgitation using positron emission tomography.

Jonathan Sigfridsson, Tomasz Baron, Johannes Bergsten, Hendrik J Harms, Jonny Nordström, Tanja Kero, Patrik Svanström, Elin Lindström, Lieuwe Appel, My Jonasson and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI research, 2024. 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
–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.

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. Review
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

13 authors.

Jonathan SigfridssonMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. Jonathan.sigfridsson@uu.se.ORCID http://orcid.org/0000-0001-8382-3624
Tomasz BaronCardiology and Clinical Physiology, Department of Medical Sciences, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.
Johannes BergstenCardiology and Clinical Physiology, Department of Medical Sciences, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.
Hendrik J HarmsMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Jonny NordströmMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Tanja KeroMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Patrik SvanströmMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Elin LindströmMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Lieuwe AppelMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
My JonassonMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Mark LubberinkMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Frank A FlachskampfCardiology and Clinical Physiology, Department of Medical Sciences, Uppsala University, Uppsala University Hospital, Uppsala, Sweden.
Jens SörensenMolecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac positron emission tomography (PET) offers non-invasive assessment of perfusion and left ventricular (LV) function from a single dynamic scan. However, no prior assessment of mitral regurgitation severity by PET has been presented. Application of indicator dilution techniques and gated image analyses to PET data enables calculation of forward stroke volume and total LV stroke volume. We aimed to evaluate a combination of these methods for measurement of regurgitant volume (RegVol) and fraction (RegF) using dynamic

resultsTwenty-one patients with severe primary mitral valve regurgitation underwent same-day dynamic PET examinations (

conclusionsLV regurgitation severity quantified using cardiac PET correlated with CMR and showed high accuracy for discriminating patients from healthy volunteers.

Indexed as

Cardiac PETCardiovascular diseasesCardiovascular MRIMitral regurgitationQuantitation

Identifiers

PMID39294533
PMCPMC11411051

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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.