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

Authors :
Carmen P.S. Blanken
Marcus Carlsson
Liang Zhong
Amir Ese
Shihua Zhao
Jos J.M. Westenberg
Jun Mei Zhang
Xiuyu Chen
Pim van Ooij
Tilman Emrich
Savine C S Minderhoud
Hildo J. Lamb
Johan Wittgren
Benjamin Fidock
R. Nils Planken
Jelle J. Goeman
Yu Cong Zheng
Alexander Hirsch
Joe F. Juffermans
Anton Kilburg
Johannes Töger
Pankaj Garg
Graduate School
Radiology and Nuclear Medicine
ACS - Atherosclerosis & ischemic syndromes
ACS - Diabetes & metabolism
ACS - Pulmonary hypertension & thrombosis
ANS - Brain Imaging
AMS - Amsterdam Movement Sciences
ACS - Heart failure & arrhythmias
Cardiology
Radiology & Nuclear Medicine
Source :
JACC: Cardiovascular Imaging, 14(7), 1354-1366. ELSEVIER SCIENCE INC, JACC. Cardiovascular imaging, 14(7), 1354-1366. Elsevier Inc., JACC: Cardiovascular Imaging, 14(7), 1354-1366. Elsevier Inc.
Publication Year :
2021
Publisher :
ELSEVIER SCIENCE INC, 2021.

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. (J Am Coll Cardiol Img 2021;14:1354-66) (c) 2021 by the American College of Cardiology Foundation.

Details

Language :
English
ISSN :
1936878X
Database :
OpenAIRE
Journal :
JACC: Cardiovascular Imaging, 14(7), 1354-1366. ELSEVIER SCIENCE INC, JACC. Cardiovascular imaging, 14(7), 1354-1366. Elsevier Inc., JACC: Cardiovascular Imaging, 14(7), 1354-1366. Elsevier Inc.
Accession number :
edsair.doi.dedup.....e8fd014775fafe0cc31f8db7e970179d