Repeatability and reproducibility of various 4D Flow MRI postprocessing software programs in a multi-software and multi-vendor cross-over comparison study.

4D Flow CMR Aorta Blood flow velocity Flow quantification Inter-rater comparison Inter-scanner comparison Inter-software comparison Intra-rater comparison Phase-contrast magnetic resonance imaging Wall shear stress

Journal

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
ISSN: 1532-429X
Titre abrégé: J Cardiovasc Magn Reson
Pays: England
ID NLM: 9815616

Informations de publication

Date de publication:
28 03 2023
Historique:
received: 02 06 2022
accepted: 20 01 2023
medline: 30 3 2023
entrez: 28 3 2023
pubmed: 29 3 2023
Statut: epublish

Résumé

Different software programs are available for the evaluation of 4D Flow cardiovascular magnetic resonance (CMR). A good agreement of the results between programs is a prerequisite for the acceptance of the method. Therefore, the goal was to compare quantitative results from a cross-over comparison in individuals examined on two scanners of different vendors analyzed with four postprocessing software packages. Eight healthy subjects (27 ± 3 years, 3 women) were each examined on two 3T CMR systems (Ingenia, Philips Healthcare; MAGNETOM Skyra, Siemens Healthineers) with a standardized 4D Flow CMR sequence. Six manually placed aortic contours were evaluated with Caas (Pie Medical Imaging, SW-A), cvi42 (Circle Cardiovascular Imaging, SW-B), GTFlow (GyroTools, SW-C), and MevisFlow (Fraunhofer Institute MEVIS, SW-D) to analyze seven clinically used parameters including stroke volume, peak flow, peak velocity, and area as well as typically scientifically used wall shear stress values. Statistical analysis of inter- and intrareader variability, inter-software and inter-scanner comparison included calculation of absolute and relative error (E SW-A and SW-C were the only software programs showing agreement for stroke volume (ICC = 0.96; E Of all tested software programs, only SW-A and SW-C can be used equivalently for determination of stroke volume, peak flow, and vessel area. Irrespective of the applied software and scanner, high intra- and interreader variability for all parameters have to be taken into account before introducing 4D Flow CMR in clinical routine. Especially in multicenter clinical trials a single image evaluation software should be applied.

Sections du résumé

BACKGROUND
Different software programs are available for the evaluation of 4D Flow cardiovascular magnetic resonance (CMR). A good agreement of the results between programs is a prerequisite for the acceptance of the method. Therefore, the goal was to compare quantitative results from a cross-over comparison in individuals examined on two scanners of different vendors analyzed with four postprocessing software packages.
METHODS
Eight healthy subjects (27 ± 3 years, 3 women) were each examined on two 3T CMR systems (Ingenia, Philips Healthcare; MAGNETOM Skyra, Siemens Healthineers) with a standardized 4D Flow CMR sequence. Six manually placed aortic contours were evaluated with Caas (Pie Medical Imaging, SW-A), cvi42 (Circle Cardiovascular Imaging, SW-B), GTFlow (GyroTools, SW-C), and MevisFlow (Fraunhofer Institute MEVIS, SW-D) to analyze seven clinically used parameters including stroke volume, peak flow, peak velocity, and area as well as typically scientifically used wall shear stress values. Statistical analysis of inter- and intrareader variability, inter-software and inter-scanner comparison included calculation of absolute and relative error (E
RESULTS
SW-A and SW-C were the only software programs showing agreement for stroke volume (ICC = 0.96; E
CONCLUSIONS
Of all tested software programs, only SW-A and SW-C can be used equivalently for determination of stroke volume, peak flow, and vessel area. Irrespective of the applied software and scanner, high intra- and interreader variability for all parameters have to be taken into account before introducing 4D Flow CMR in clinical routine. Especially in multicenter clinical trials a single image evaluation software should be applied.

Identifiants

pubmed: 36978131
doi: 10.1186/s12968-023-00921-4
pii: 10.1186/s12968-023-00921-4
pmc: PMC10052852
doi:

Types de publication

Multicenter Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

22

Subventions

Organisme : Universität zu Lübeck, Sektion Medizin
ID : J31-2018

Informations de copyright

© 2023. The Author(s).

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Auteurs

Thekla H Oechtering (TH)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany. Thekla.Oechtering@uksh.de.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany. Thekla.Oechtering@uksh.de.
Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA. Thekla.Oechtering@uksh.de.

André Nowak (A)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany.

Malte M Sieren (MM)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany.

Andreas M Stroth (AM)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany.

Nicolas Kirschke (N)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany.

Franz Wegner (F)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany.

Maren Balks (M)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany.

Inke R König (IR)

Institute of Medical Biometry and Statistics, Universität zu Lübeck, Lübeck, Germany.

Ning Jin (N)

Cardiovascular MR R&D, Siemens Medical Solutions USA, Inc, Cleveland, OH, USA.

Joachim Graessner (J)

Siemens Healthcare GmbH, Lindenplatz 2, 20099, Hamburg, Germany.

Hendrik Kooijman-Kurfuerst (H)

Philips Healthcare GmbH, Röntgenstrasse 22, 22335, Hamburg, Germany.

Anja Hennemuth (A)

Fraunhofer MEVIS, Am Fallturm 1, 28359, Bremen, Germany.
Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité - Universitätsmedizin Berlin, Amrumer Str. 32, 13353, Berlin, Germany.

Jörg Barkhausen (J)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany.

Alex Frydrychowicz (A)

Department of Radiology and Nuclear Medicine, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Center of Brain, Behavior and Metabolism (CBBM), Universität zu Lübeck, Lübeck, Germany.

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