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Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR. / Juffermans, Joe F.; Minderhoud, Savine C. S.; Wittgren, Johan et al.

In: JACC. Cardiovascular imaging, Vol. 14, No. 7, 07.2021, p. 1354-1366.

Research output: Contribution to journalArticleAcademicpeer-review

Harvard

Juffermans, JF, Minderhoud, SCS, Wittgren, J, Kilburg, A, Ese, A, Fidock, B, Zheng, Y-C, Zhang, J-M, Blanken, CPS, Lamb, HJ, Goeman, JJ, Carlsson, M, Zhao, S, Planken, RN, van Ooij, P, Zhong, L, Chen, X, Garg, P, Emrich, T, Hirsch, A, Töger, J & Westenberg, JJM 2021, 'Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR', JACC. Cardiovascular imaging, vol. 14, no. 7, pp. 1354-1366. https://doi.org/10.1016/j.jcmg.2020.12.014

APA

Juffermans, J. F., Minderhoud, S. C. S., Wittgren, J., Kilburg, A., Ese, A., Fidock, B., Zheng, Y-C., Zhang, J-M., Blanken, C. P. S., Lamb, H. J., Goeman, J. J., Carlsson, M., Zhao, S., Planken, R. N., van Ooij, P., Zhong, L., Chen, X., Garg, P., Emrich, T., ... Westenberg, J. J. M. (2021). Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR. JACC. Cardiovascular imaging, 14(7), 1354-1366. https://doi.org/10.1016/j.jcmg.2020.12.014

Vancouver

Juffermans JF, Minderhoud SCS, Wittgren J, Kilburg A, Ese A, Fidock B et al. Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR. JACC. Cardiovascular imaging. 2021 Jul;14(7):1354-1366. Epub 2021. doi: 10.1016/j.jcmg.2020.12.014

Author

Juffermans, Joe F. ; Minderhoud, Savine C. S. ; Wittgren, Johan et al. / Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR. In: JACC. Cardiovascular imaging. 2021 ; Vol. 14, No. 7. pp. 1354-1366.

BibTeX

@article{02f275dee72440f2aad978b0761619c3,
title = "Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR",
abstract = "Objectives: This study determined: 1) the interobserver agreement; 2) valvular flow variation; and 3) which variables independently predicted the variation of valvular flow quantification from 4-dimensional (4D) flow cardiac magnetic resonance (CMR) with automated retrospective valve tracking at multiple sites. Background: Automated retrospective valve tracking in 4D flow CMR allows consistent assessment of valvular flow through all intracardiac valves. However, due to the variance of CMR scanners and protocols, it remains uncertain if the published consistency holds for other clinical centers. Methods: Seven sites each retrospectively or prospectively selected 20 subjects who underwent whole heart 4D flow CMR (64 patients and 76 healthy volunteers; aged 32 years [range 24 to 48 years], 47% men, from 2014 to 2020), which was acquired with locally used CMR scanners (scanners from 3 vendors; 2 1.5-T and 5 3-T scanners) and protocols. Automated retrospective valve tracking was locally performed at each site to quantify the valvular flow and repeated by 1 central site. Interobserver agreement was evaluated with intraclass correlation coefficients (ICCs). Net forward volume (NFV) consistency among the valves was evaluated by calculating the intervalvular variation. Multiple regression analysis was performed to assess the predicting effect of local CMR scanners and protocols on the intervalvular inconsistency. Results: The interobserver analysis demonstrated strong-to-excellent agreement for NFV (ICC: 0.85 to 0.96) and moderate-to-excellent agreement for regurgitation fraction (ICC: 0.53 to 0.97) for all sites and valves. In addition, all observers established a low intervalvular variation (≤10.5%) in their analysis. The availability of 2 cine images per valve for valve tracking compared with 1 cine image predicted a decreasing variation in NFV among the 4 valves (beta = −1.3; p = 0.01). Conclusions: Independently of locally used CMR scanners and protocols, valvular flow quantification can be performed consistently with automated retrospective valve tracking in 4D flow CMR.",
keywords = "automated retrospective valve tracking, valvular flow assessment regurgitation, whole heart 4D flow CMR",
author = "Juffermans, {Joe F.} and Minderhoud, {Savine C. S.} and Johan Wittgren and Anton Kilburg and Amir Ese and Benjamin Fidock and Yu-Cong Zheng and Jun-Mei Zhang and Blanken, {Carmen P. S.} and Lamb, {Hildo J.} and Goeman, {Jelle J.} and Marcus Carlsson and Shihua Zhao and Planken, {R. Nils} and {van Ooij}, Pim and Liang Zhong and Xiuyu Chen and Pankaj Garg and Tilman Emrich and Alexander Hirsch and Johannes T{\"o}ger and Westenberg, {Jos J. M.}",
note = "Funding Information: The authors thank Jean-Paul Aben and Gaston Vogel from Pie Medical Imaging, Maastricht, the Netherlands, for providing the CAAS MR Solutions v5.1 software and software training. Skane University Hospital and University Medical Center Mainz thank Ning Jin from Siemens Medical Solutions USA, Inc (Cleveland, Ohio), for providing the 4D flow sequence as a work-in-progress package. Fuwai Hospital thanks Gang Yin at Fuwai Hospital, Beijing, China, for his assistance during the data collection. Publisher Copyright: {\textcopyright} 2021 American College of Cardiology Foundation",
year = "2021",
month = jul,
doi = "10.1016/j.jcmg.2020.12.014",
language = "English",
volume = "14",
pages = "1354--1366",
journal = "JACC. Cardiovascular imaging",
issn = "1936-878X",
publisher = "Elsevier Inc.",
number = "7",

}

RIS

TY - JOUR

T1 - Multicenter Consistency Assessment of Valvular Flow Quantification With Automated Valve Tracking in 4D Flow CMR

AU - Juffermans, Joe F.

AU - Minderhoud, Savine C. S.

AU - Wittgren, Johan

AU - Kilburg, Anton

AU - Ese, Amir

AU - Fidock, Benjamin

AU - Zheng, Yu-Cong

AU - Zhang, Jun-Mei

AU - Blanken, Carmen P. S.

AU - Lamb, Hildo J.

AU - Goeman, Jelle J.

AU - Carlsson, Marcus

AU - Zhao, Shihua

AU - Planken, R. Nils

AU - van Ooij, Pim

AU - Zhong, Liang

AU - Chen, Xiuyu

AU - Garg, Pankaj

AU - Emrich, Tilman

AU - Hirsch, Alexander

AU - Töger, Johannes

AU - Westenberg, Jos J. M.

N1 - Funding Information: The authors thank Jean-Paul Aben and Gaston Vogel from Pie Medical Imaging, Maastricht, the Netherlands, for providing the CAAS MR Solutions v5.1 software and software training. Skane University Hospital and University Medical Center Mainz thank Ning Jin from Siemens Medical Solutions USA, Inc (Cleveland, Ohio), for providing the 4D flow sequence as a work-in-progress package. Fuwai Hospital thanks Gang Yin at Fuwai Hospital, Beijing, China, for his assistance during the data collection. Publisher Copyright: © 2021 American College of Cardiology Foundation

PY - 2021/7

Y1 - 2021/7

N2 - Objectives: This study determined: 1) the interobserver agreement; 2) valvular flow variation; and 3) which variables independently predicted the variation of valvular flow quantification from 4-dimensional (4D) flow cardiac magnetic resonance (CMR) with automated retrospective valve tracking at multiple sites. Background: Automated retrospective valve tracking in 4D flow CMR allows consistent assessment of valvular flow through all intracardiac valves. However, due to the variance of CMR scanners and protocols, it remains uncertain if the published consistency holds for other clinical centers. Methods: Seven sites each retrospectively or prospectively selected 20 subjects who underwent whole heart 4D flow CMR (64 patients and 76 healthy volunteers; aged 32 years [range 24 to 48 years], 47% men, from 2014 to 2020), which was acquired with locally used CMR scanners (scanners from 3 vendors; 2 1.5-T and 5 3-T scanners) and protocols. Automated retrospective valve tracking was locally performed at each site to quantify the valvular flow and repeated by 1 central site. Interobserver agreement was evaluated with intraclass correlation coefficients (ICCs). Net forward volume (NFV) consistency among the valves was evaluated by calculating the intervalvular variation. Multiple regression analysis was performed to assess the predicting effect of local CMR scanners and protocols on the intervalvular inconsistency. Results: The interobserver analysis demonstrated strong-to-excellent agreement for NFV (ICC: 0.85 to 0.96) and moderate-to-excellent agreement for regurgitation fraction (ICC: 0.53 to 0.97) for all sites and valves. In addition, all observers established a low intervalvular variation (≤10.5%) in their analysis. The availability of 2 cine images per valve for valve tracking compared with 1 cine image predicted a decreasing variation in NFV among the 4 valves (beta = −1.3; p = 0.01). Conclusions: Independently of locally used CMR scanners and protocols, valvular flow quantification can be performed consistently with automated retrospective valve tracking in 4D flow CMR.

AB - Objectives: This study determined: 1) the interobserver agreement; 2) valvular flow variation; and 3) which variables independently predicted the variation of valvular flow quantification from 4-dimensional (4D) flow cardiac magnetic resonance (CMR) with automated retrospective valve tracking at multiple sites. Background: Automated retrospective valve tracking in 4D flow CMR allows consistent assessment of valvular flow through all intracardiac valves. However, due to the variance of CMR scanners and protocols, it remains uncertain if the published consistency holds for other clinical centers. Methods: Seven sites each retrospectively or prospectively selected 20 subjects who underwent whole heart 4D flow CMR (64 patients and 76 healthy volunteers; aged 32 years [range 24 to 48 years], 47% men, from 2014 to 2020), which was acquired with locally used CMR scanners (scanners from 3 vendors; 2 1.5-T and 5 3-T scanners) and protocols. Automated retrospective valve tracking was locally performed at each site to quantify the valvular flow and repeated by 1 central site. Interobserver agreement was evaluated with intraclass correlation coefficients (ICCs). Net forward volume (NFV) consistency among the valves was evaluated by calculating the intervalvular variation. Multiple regression analysis was performed to assess the predicting effect of local CMR scanners and protocols on the intervalvular inconsistency. Results: The interobserver analysis demonstrated strong-to-excellent agreement for NFV (ICC: 0.85 to 0.96) and moderate-to-excellent agreement for regurgitation fraction (ICC: 0.53 to 0.97) for all sites and valves. In addition, all observers established a low intervalvular variation (≤10.5%) in their analysis. The availability of 2 cine images per valve for valve tracking compared with 1 cine image predicted a decreasing variation in NFV among the 4 valves (beta = −1.3; p = 0.01). Conclusions: Independently of locally used CMR scanners and protocols, valvular flow quantification can be performed consistently with automated retrospective valve tracking in 4D flow CMR.

KW - automated retrospective valve tracking

KW - valvular flow assessment regurgitation

KW - whole heart 4D flow CMR

UR - http://www.scopus.com/inward/record.url?scp=85101675502&partnerID=8YFLogxK

U2 - 10.1016/j.jcmg.2020.12.014

DO - 10.1016/j.jcmg.2020.12.014

M3 - Article

C2 - 33582060

VL - 14

SP - 1354

EP - 1366

JO - JACC. Cardiovascular imaging

JF - JACC. Cardiovascular imaging

SN - 1936-878X

IS - 7

ER -

ID: 17862196