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1000 Titel
  • Pulmonary CT perfusion robustly measures cardiac output in the context of multilevel pulmonary occlusion: a porcine study
1000 Autor/in
  1. Silva, Diogo |
  2. Muders, Thomas |
  3. Wodack, Karin |
  4. Putensen, Christian |
  5. Leonhardt, Steffen |
  6. Siepmann, Robert |
  7. Hentze, Benjamin |
  8. Reinartz, Sebastian |
1000 Verlag Springer Vienna
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-03-22
1000 Erschienen in
1000 Quellenangabe
  • 8(1):51
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s41747-024-00431-7 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10959917/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>To validate pulmonary computed tomography (CT) perfusion in a porcine model by invasive monitoring of cardiac output (CO) using thermodilution method.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Animals 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.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Nine 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.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>CT perfusion validly measures CO using LMMs at both individual and cohort levels, as demonstrated by referencing the invasive CO.</jats:p> </jats:sec><jats:sec> <jats:title>Relevance statement</jats:title> <jats:p>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.</jats:p> </jats:sec><jats:sec> <jats:title>Key points</jats:title> <jats:p>• CT perfusion measures flow in vessels.</jats:p> <jats:p>• CT perfusion measures cumulative cardiac output in the aorta and pulmonary vessels.</jats:p> <jats:p>• CT perfusion validly measures CO using LMMs at both individual and cohort levels, as demonstrated by using the invasive CO as a reference standard.</jats:p> </jats:sec><jats:sec> <jats:title>Graphical Abstract</jats:title> </jats:sec>
1000 Sacherschließung
lokal Swine [MeSH]
lokal Humans [MeSH]
lokal Perfusion
lokal Cardiac Output/physiology [MeSH]
lokal Tomography (x-ray computed)
lokal Animals [MeSH]
lokal Catheterization, Swan-Ganz/methods [MeSH]
lokal Original Article
lokal Tomography, X-Ray Computed [MeSH]
lokal Cardiac output
lokal Pulmonary artery
lokal Perfusion [MeSH]
lokal Heart ventricles
lokal Pulmonary Artery/diagnostic imaging [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2lsdmEsIERpb2dv|https://frl.publisso.de/adhoc/uri/TXVkZXJzLCBUaG9tYXM=|https://frl.publisso.de/adhoc/uri/V29kYWNrLCBLYXJpbg==|https://frl.publisso.de/adhoc/uri/UHV0ZW5zZW4sIENocmlzdGlhbg==|https://frl.publisso.de/adhoc/uri/TGVvbmhhcmR0LCBTdGVmZmVu|https://frl.publisso.de/adhoc/uri/U2llcG1hbm4sIFJvYmVydA==|https://frl.publisso.de/adhoc/uri/SGVudHplLCBCZW5qYW1pbg==|https://orcid.org/0000-0003-1769-4953
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  1. Deutsche Forschungsgesellschaft |
  2. Universitätsklinikum RWTH Aachen |
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    1000 Förderer Deutsche Forschungsgesellschaft |
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    1000 Förderer Universitätsklinikum RWTH Aachen |
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