Evidence map›Paper›PMID 38517595›Full record

ArticleEuropean radiology experimental2024

Pulmonary CT perfusion robustly measures cardiac output in the context of multilevel pulmonary occlusion: a porcine study.

Diogo Silva, Thomas Muders, Karin Wodack, Christian Putensen, Steffen Leonhardt, Robert Siepmann, Benjamin Hentze, Sebastian Reinartz

Open access · goldAbstract read
In one paragraph

Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Diogo SilvaMedical Information Technology (MedIT), RWTH Aachen University, Aachen, Germany.
Thomas MudersDepartment of Anaesthesiology and Intensive Care Medicine, University Bonn, Bonn, Germany.
Karin WodackDepartment of Anaesthesiology and Intensive Care Medicine, University Bonn, Bonn, Germany.
Christian PutensenDepartment of Anaesthesiology and Intensive Care Medicine, University Bonn, Bonn, Germany.
Steffen LeonhardtMedical Information Technology (MedIT), RWTH Aachen University, Aachen, Germany.
Robert SiepmannDepartment of Diagnostic and Interventional Radiology, Uniklinik RWTH Aachen, Aachen, Germany.
Benjamin HentzeMedical Information Technology (MedIT), RWTH Aachen University, Aachen, Germany.
Sebastian ReinartzDepartment of Diagnostic and Interventional Radiology, Uniklinik RWTH Aachen, Aachen, Germany. Sebastian.D.Reinartz@rwth-aachen.de.ORCID http://orcid.org/0000-0003-1769-4953
University of Bonn · DERWTH Aachen University · DEUniversitätsklinikum Aachen · DE

Funding

Deutsche Forschungsgesellschaft LE 817/40-1Deutsche Forschungsgesellschaft PU 219/2-3Deutsche Forschungsgesellschaft RE 4418/1-1
6 · The paper itself

Abstract

backgroundTo validate pulmonary computed tomography (CT) perfusion in a porcine model by invasive monitoring of cardiac output (CO) using thermodilution method.

methodsAnimals were studied at a single center, using a Swan-Ganz catheter for invasive CO monitoring as a reference. Fifteen pigs were included. Contrast-enhanced CT perfusion of the descending aorta and right and left pulmonary artery was performed. For variation purposes, a balloon catheter was inserted to block the contralateral pulmonary vascular bed; additionally, two increased CO settings were created by intravenous administration of catecholamines. Finally, stepwise capillary occlusion was performed by intrapulmonary arterial injection of 75-μm microspheres in four stages. A semiautomatic selection of AFs and a recirculation-aware tracer-kinetics model to extract the first-pass of AFs, estimating blood flow with the Stewart-Hamilton method, was implemented. Linear mixed models (LMM) were developed to calibrate blood flow calculations accounting with individual- and cohort-level effects.

resultsNine of 15 pigs had complete datasets. Strong correlations were observed between calibrated pulmonary (0.73, 95% confidence interval [CI] 0.6-0.82) and aortic blood flow measurements (0.82, 95% CI, 0.73-0.88) and the reference as well as agreements (± 2.24 L/min and ± 1.86 L/min, respectively) comparable to the state of the art, on a relatively wide range of right ventricle-CO measurements.

conclusionsCT perfusion validly measures CO using LMMs at both individual and cohort levels, as demonstrated by referencing the invasive CO. RELEVANCE STATEMENT: Possible clinical applications of CT perfusion for measuring CO could be in acute pulmonary thromboembolism or to assess right ventricular function to show impairment or mismatch to the left ventricle. KEY POINTS: • CT perfusion measures flow in vessels. • CT perfusion measures cumulative cardiac output in the aorta and pulmonary vessels. • CT perfusion validly measures CO using LMMs at both individual and cohort levels, as demonstrated by using the invasive CO as a reference standard.

Indexed as

Catheterization, Swan-GanzPulmonary ArteryAnimalsCardiac OutputHumansPerfusionSwineTomography, X-Ray ComputedCardiac outputHeart ventriclesPerfusionPulmonary arteryTomography (x-ray computed)

Identifiers

PMID38517595
PMCPMC10959917
OpenAlexW4393067803

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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.