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Intracardiac Flow at 4D CT: Comparison with 4D Flow MRI
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0003-1942-7699
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-3182-1333
Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0001-5526-2399
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2018 (English)In: Radiology, ISSN 0033-8419, E-ISSN 1527-1315, Vol. 289, no 1, p. 51-58Article in journal (Refereed) Published
Abstract [en]

Purpose

To investigate four-dimensional (4D) flow CT for the assessment of intracardiac blood flow patterns as compared with 4D flow MRI.

Materials and Methods

This prospective study acquired coronary CT angiography and 4D flow MRI data between February and December 2016 in a cohort of 12 participants (age range, 36–74 years; mean age, 57 years; seven men [age range, 36–74 years; mean age, 57 years] and five women [age range, 52–73 years; mean age, 64 years]). Flow simulations based solely on CT-derived cardiac anatomy were assessed together with 4D flow MRI measurements. Flow patterns, flow rates, stroke volume, kinetic energy, and flow components were quantified for both techniques and were compared by using linear regression.

Results

Cardiac flow patterns obtained by using 4D flow CT were qualitatively similar to 4D flow MRI measurements, as graded by three independent observers. The Cohen κ score was used to assess intraobserver variability (0.83, 0.79, and 0.70) and a paired Wilcoxon rank-sum test showed no significant change (P > .05) between gradings. Peak flow rate and stroke volumes between 4D flow MRI measurements and 4D flow CT measurements had high correlation (r = 0.98 and r = 0.81, respectively; P < .05 for both). Integrated kinetic energy quantified at peak systole correlated well (r = 0.95, P < .05), while kinetic energy levels at early and late filling showed no correlation. Flow component analysis showed high correlation for the direct and residual components, respectively (r = 0.93, P < .05 and r = 0.87, P < .05), while the retained and delayed components showed no correlation.

Conclusion

Four-dimensional flow CT produced qualitatively and quantitatively similar intracardiac blood flow patterns compared with the current reference standard, four-dimensional flow MRI.

Place, publisher, year, edition, pages
Oak Brook, IL United States: Radiological Society of North America, Inc. , 2018. Vol. 289, no 1, p. 51-58
National Category
Fluid Mechanics and Acoustics Cardiac and Cardiovascular Systems Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-149320DOI: 10.1148/radiol.2018173017ISI: 000444990900009PubMedID: 29944089OAI: oai:DiVA.org:liu-149320DiVA, id: diva2:1228566
Funder
Knut and Alice Wallenberg Foundation, Seeing Organ FunctionSwedish Heart Lung FoundationAvailable from: 2018-06-28 Created: 2018-06-28 Last updated: 2019-04-12Bibliographically approved

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Lantz, JonasGupta, VikasHenriksson, LilianKarlsson, MattsPersson, AndersCarlhäll, CarljohanEbbers, Tino

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Lantz, JonasGupta, VikasHenriksson, LilianKarlsson, MattsPersson, AndersCarlhäll, CarljohanEbbers, Tino
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Division of Cardiovascular MedicineFaculty of Medicine and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Department of Radiology in LinköpingDivision of Radiological SciencesApplied Thermodynamics and Fluid MechanicsFaculty of Science & EngineeringDepartment of Clinical Physiology in Linköping
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Fluid Mechanics and AcousticsCardiac and Cardiovascular SystemsMedical Image Processing

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