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Flow evaluation software for four-dimensional flow MRI: a reliability and validation study

PURPOSE: Four-dimensional time-resolved phase-contrast cardiovascular magnetic resonance imaging (4D flow MRI) enables blood flow quantification in multiple vessels, which is crucial for patients with congenital heart disease (CHD). We investigated net flow volumes in the ascending aorta and pulmona...

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Autores principales: Burkhardt, Barbara Elisabeth Ursula, Kellenberger, Christian Johannes, Callaghan, Fraser Maurice, Valsangiacomo Buechel, Emanuela Regina, Geiger, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547653/
https://www.ncbi.nlm.nih.gov/pubmed/37620674
http://dx.doi.org/10.1007/s11547-023-01697-4
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author Burkhardt, Barbara Elisabeth Ursula
Kellenberger, Christian Johannes
Callaghan, Fraser Maurice
Valsangiacomo Buechel, Emanuela Regina
Geiger, Julia
author_facet Burkhardt, Barbara Elisabeth Ursula
Kellenberger, Christian Johannes
Callaghan, Fraser Maurice
Valsangiacomo Buechel, Emanuela Regina
Geiger, Julia
author_sort Burkhardt, Barbara Elisabeth Ursula
collection PubMed
description PURPOSE: Four-dimensional time-resolved phase-contrast cardiovascular magnetic resonance imaging (4D flow MRI) enables blood flow quantification in multiple vessels, which is crucial for patients with congenital heart disease (CHD). We investigated net flow volumes in the ascending aorta and pulmonary arteries by four different postprocessing software packages for 4D flow MRI in comparison with 2D cine phase-contrast measurements (2D PC). MATERIAL AND METHODS: 4D flow and 2D PC datasets of 47 patients with biventricular CHD (median age 16, range 0.6–52 years) were acquired at 1.5 T. Net flow volumes in the ascending aorta, the main, right, and left pulmonary arteries were measured using four different postprocessing software applications and compared to offset-corrected 2D PC data. Reliability of 4D flow postprocessing software was assessed by Bland–Altman analysis and intraclass correlation coefficient (ICC). Linear regression of internal flow controls was calculated. Interobserver reproducibility was evaluated in 25 patients. RESULTS: Correlation and agreement of flow volumes were very good for all software compared to 2D PC (ICC ≥ 0.94; bias ≤ 5%). Internal controls were excellent for 2D PC (r ≥ 0.95, p < 0.001) and 4D flow (r ≥ 0.94, p < 0.001) without significant difference of correlation coefficients between methods. Interobserver reliability was good for all vendors (ICC ≥ 0.94, agreement bias < 8%). CONCLUSION: Haemodynamic information from 4D flow in the large thoracic arteries assessed by four commercially available postprocessing applications matches routinely performed 2D PC values. Therefore, we consider 4D flow MRI-derived data ready for clinical use in patients with CHD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11547-023-01697-4.
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spelling pubmed-105476532023-10-05 Flow evaluation software for four-dimensional flow MRI: a reliability and validation study Burkhardt, Barbara Elisabeth Ursula Kellenberger, Christian Johannes Callaghan, Fraser Maurice Valsangiacomo Buechel, Emanuela Regina Geiger, Julia Radiol Med Cardiac Radiology PURPOSE: Four-dimensional time-resolved phase-contrast cardiovascular magnetic resonance imaging (4D flow MRI) enables blood flow quantification in multiple vessels, which is crucial for patients with congenital heart disease (CHD). We investigated net flow volumes in the ascending aorta and pulmonary arteries by four different postprocessing software packages for 4D flow MRI in comparison with 2D cine phase-contrast measurements (2D PC). MATERIAL AND METHODS: 4D flow and 2D PC datasets of 47 patients with biventricular CHD (median age 16, range 0.6–52 years) were acquired at 1.5 T. Net flow volumes in the ascending aorta, the main, right, and left pulmonary arteries were measured using four different postprocessing software applications and compared to offset-corrected 2D PC data. Reliability of 4D flow postprocessing software was assessed by Bland–Altman analysis and intraclass correlation coefficient (ICC). Linear regression of internal flow controls was calculated. Interobserver reproducibility was evaluated in 25 patients. RESULTS: Correlation and agreement of flow volumes were very good for all software compared to 2D PC (ICC ≥ 0.94; bias ≤ 5%). Internal controls were excellent for 2D PC (r ≥ 0.95, p < 0.001) and 4D flow (r ≥ 0.94, p < 0.001) without significant difference of correlation coefficients between methods. Interobserver reliability was good for all vendors (ICC ≥ 0.94, agreement bias < 8%). CONCLUSION: Haemodynamic information from 4D flow in the large thoracic arteries assessed by four commercially available postprocessing applications matches routinely performed 2D PC values. Therefore, we consider 4D flow MRI-derived data ready for clinical use in patients with CHD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11547-023-01697-4. Springer Milan 2023-08-24 2023 /pmc/articles/PMC10547653/ /pubmed/37620674 http://dx.doi.org/10.1007/s11547-023-01697-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Cardiac Radiology
Burkhardt, Barbara Elisabeth Ursula
Kellenberger, Christian Johannes
Callaghan, Fraser Maurice
Valsangiacomo Buechel, Emanuela Regina
Geiger, Julia
Flow evaluation software for four-dimensional flow MRI: a reliability and validation study
title Flow evaluation software for four-dimensional flow MRI: a reliability and validation study
title_full Flow evaluation software for four-dimensional flow MRI: a reliability and validation study
title_fullStr Flow evaluation software for four-dimensional flow MRI: a reliability and validation study
title_full_unstemmed Flow evaluation software for four-dimensional flow MRI: a reliability and validation study
title_short Flow evaluation software for four-dimensional flow MRI: a reliability and validation study
title_sort flow evaluation software for four-dimensional flow mri: a reliability and validation study
topic Cardiac Radiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547653/
https://www.ncbi.nlm.nih.gov/pubmed/37620674
http://dx.doi.org/10.1007/s11547-023-01697-4
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