Evidence map›Paper›PMID 36662127›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2023

Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics.

Martin Segeroth, David Jean Winkel, Ivo Strebel, Shan Yang, Jan Gerrit van der Stouwe, Jude Formambuh, Patrick Badertscher, Joshy Cyriac, Jakob Wasserthal, Federico Caobelli and 7 more

Abstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  11. Imaging of Congestion in Cardio-renal Syndrome.Current heart failure reports · 2025
    Review
  12. Article
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  14. Article
  15. Association of pulmonary transit time by cardiac magnetic resonance with heart failure hospitalization in a large prospective cohort with diverse cardiac conditions.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    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

17 authors.

Martin SegerothDepartment of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.ORCID 0000-0001-7820-2778
David Jean WinkelDepartment of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.ORCID 0000-0001-7051-8022
Ivo StrebelDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Shan YangDepartment of Research and Analysis, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Jan Gerrit van der StouweDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Jude FormambuhDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Patrick BadertscherDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.ORCID 0000-0001-9751-0557
Joshy CyriacDepartment of Research and Analysis, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Jakob WasserthalDepartment of Research and Analysis, University Hospital Basel, University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Federico CaobelliDepartment of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Antonio MadaffariDepartment of Cardiology, University Hospital Bern, Freiburgstrasse 18, 3010 Bern, Switzerland.
Pedro Lopez-AyalaDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.ORCID 0000-0002-7787-0640
Michael ZellwegerDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Alexander SauterDepartment of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Christian MuellerDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Jens BremerichDepartment of Radiology and Nuclear Medicine, University Hospital, Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.
Philip HaafDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel and University of Basel, Petersgraben 4, 4031 Basel, Switzerland.ORCID 0000-0002-5657-6637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPulmonary transit time (PTT) is the time blood takes to pass from the right ventricle to the left ventricle via pulmonary circulation. We aimed to quantify PTT in routine cardiovascular magnetic resonance imaging perfusion sequences. PTT may help in the diagnostic assessment and characterization of patients with unclear dyspnoea or heart failure (HF). METHODS AND

resultsWe evaluated routine stress perfusion cardiovascular magnetic resonance scans in 352 patients, including an assessment of PTT. Eighty-six of these patients also had simultaneous quantification of N-terminal pro-brain natriuretic peptide (NTproBNP). NT-proBNP is an established blood biomarker for quantifying ventricular filling pressure in patients with presumed HF. Manually assessed PTT demonstrated low inter-rater variability with a correlation between raters >0.98. PTT was obtained automatically and correctly in 266 patients using artificial intelligence. The median PTT of 182 patients with both left and right ventricular ejection fraction >50% amounted to 6.8 s (Pulmonary transit time: 5.9-7.9 s). PTT was significantly higher in patients with reduced left ventricular ejection fraction (<40%; P < 0.001) and right ventricular ejection fraction (<40%; P < 0.0001). The area under the receiver operating characteristics curve (AUC) of PTT for exclusion of HF (NT-proBNP <125 ng/L) was 0.73 (P < 0.001) with a specificity of 77% and sensitivity of 70%. The AUC of PTT for the inclusion of HF (NT-proBNP >600 ng/L) was 0.70 (P < 0.001) with a specificity of 78% and sensitivity of 61%.

conclusionPTT as an easily, even automatically obtainable and robust non-invasive biomarker of haemodynamics might help in the evaluation of patients with dyspnoea and HF.

Indexed as

Artificial IntelligenceHeart FailureBiomarkersDyspneaHemodynamicsHumansMagnetic Resonance SpectroscopyNatriuretic Peptide, BrainPeptide FragmentsStroke VolumeVentricular Function, LeftVentricular Function, RightBiomarkersNatriuretic Peptide, BrainPeptide Fragmentsartificial intelligencecardiovascular magnetic resonance imaginghaemodynamic biomarkerheart failureN-terminal pro-brain natriuretic peptidepulmonary transit time

Identifiers

PMID36662127
PMCPMC10364617

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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.