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Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment
BACKGROUND: To validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow. METHODS: This obs...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492816/ https://www.ncbi.nlm.nih.gov/pubmed/36131185 http://dx.doi.org/10.1186/s41747-022-00299-5 |
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author | Assadi, Hosamadin Uthayachandran, Bhalraam Li, Rui Wardley, James Nyi, Tha H. Grafton-Clarke, Ciaran Swift, Andrew J. Solana, Ana Beatriz Aben, Jean-Paul Thampi, Kurian Hewson, David Sawh, Chris Greenwood, Richard Hughes, Marina Kasmai, Bahman Zhong, Liang Flather, Marcus Vassiliou, Vassilios S. Garg, Pankaj |
author_facet | Assadi, Hosamadin Uthayachandran, Bhalraam Li, Rui Wardley, James Nyi, Tha H. Grafton-Clarke, Ciaran Swift, Andrew J. Solana, Ana Beatriz Aben, Jean-Paul Thampi, Kurian Hewson, David Sawh, Chris Greenwood, Richard Hughes, Marina Kasmai, Bahman Zhong, Liang Flather, Marcus Vassiliou, Vassilios S. Garg, Pankaj |
author_sort | Assadi, Hosamadin |
collection | PubMed |
description | BACKGROUND: To validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow. METHODS: This observational retrospective study (2020/21-075) was approved by the local ethics committee at the University of East Anglia. Consent was waived. Thirty-five patients who had a clinical CMR scan were included. CMR protocol included cine and 4D flow using Kat-ARC acceleration factor 6. No respiratory navigation was applied. For validation, the agreement between mitral net flow (MNF) and the aortic net flow (ANF) was investigated. Additionally, we checked the agreement between peak aortic valve velocity derived by 4D flow and that derived by continuous-wave Doppler echocardiography in 20 patients. RESULTS: The median age of our patient population was 63 years (interquartile range [IQR] 54–73), and 18/35 (51%) were male. Seventeen (49%) patients had mitral regurgitation, and seven (20%) patients had aortic regurgitation. Mean acquisition time was 8 ± 4 min. MNF and ANF were comparable: 60 mL (51−78) versus 63 mL (57−77), p = 0.310). There was an association between MNF and ANF (rho = 0.58, p < 0.001). Peak aortic valve velocity by Doppler and 4D flow were comparable (1.40 m/s, [1.30−1.75] versus 1.46 m/s [1.25−2.11], p = 0.602) and also correlated with each other (rho = 0.77, p < 0.001). CONCLUSIONS: Kat-ARC accelerated 4D flow CMR quantified transvalvular flow in accordance with the conservation of mass principle and is primed for clinical translation. |
format | Online Article Text |
id | pubmed-9492816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-94928162022-09-23 Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment Assadi, Hosamadin Uthayachandran, Bhalraam Li, Rui Wardley, James Nyi, Tha H. Grafton-Clarke, Ciaran Swift, Andrew J. Solana, Ana Beatriz Aben, Jean-Paul Thampi, Kurian Hewson, David Sawh, Chris Greenwood, Richard Hughes, Marina Kasmai, Bahman Zhong, Liang Flather, Marcus Vassiliou, Vassilios S. Garg, Pankaj Eur Radiol Exp Original Article BACKGROUND: To validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow. METHODS: This observational retrospective study (2020/21-075) was approved by the local ethics committee at the University of East Anglia. Consent was waived. Thirty-five patients who had a clinical CMR scan were included. CMR protocol included cine and 4D flow using Kat-ARC acceleration factor 6. No respiratory navigation was applied. For validation, the agreement between mitral net flow (MNF) and the aortic net flow (ANF) was investigated. Additionally, we checked the agreement between peak aortic valve velocity derived by 4D flow and that derived by continuous-wave Doppler echocardiography in 20 patients. RESULTS: The median age of our patient population was 63 years (interquartile range [IQR] 54–73), and 18/35 (51%) were male. Seventeen (49%) patients had mitral regurgitation, and seven (20%) patients had aortic regurgitation. Mean acquisition time was 8 ± 4 min. MNF and ANF were comparable: 60 mL (51−78) versus 63 mL (57−77), p = 0.310). There was an association between MNF and ANF (rho = 0.58, p < 0.001). Peak aortic valve velocity by Doppler and 4D flow were comparable (1.40 m/s, [1.30−1.75] versus 1.46 m/s [1.25−2.11], p = 0.602) and also correlated with each other (rho = 0.77, p < 0.001). CONCLUSIONS: Kat-ARC accelerated 4D flow CMR quantified transvalvular flow in accordance with the conservation of mass principle and is primed for clinical translation. Springer Vienna 2022-09-22 /pmc/articles/PMC9492816/ /pubmed/36131185 http://dx.doi.org/10.1186/s41747-022-00299-5 Text en © The Author(s) under exclusive licence to European Society of Radiology 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Original Article Assadi, Hosamadin Uthayachandran, Bhalraam Li, Rui Wardley, James Nyi, Tha H. Grafton-Clarke, Ciaran Swift, Andrew J. Solana, Ana Beatriz Aben, Jean-Paul Thampi, Kurian Hewson, David Sawh, Chris Greenwood, Richard Hughes, Marina Kasmai, Bahman Zhong, Liang Flather, Marcus Vassiliou, Vassilios S. Garg, Pankaj Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment |
title | Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment |
title_full | Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment |
title_fullStr | Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment |
title_full_unstemmed | Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment |
title_short | Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment |
title_sort | kat-arc accelerated 4d flow cmr: clinical validation for transvalvular flow and peak velocity assessment |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492816/ https://www.ncbi.nlm.nih.gov/pubmed/36131185 http://dx.doi.org/10.1186/s41747-022-00299-5 |
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