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RESEARCH PRODUCT

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

Carmen P.s. BlankenMarcus CarlssonLiang ZhongAmir EseShihua ZhaoJos J.m. WestenbergJun Mei ZhangXiuyu ChenPim Van OoijTilman EmrichSavine C S MinderhoudHildo J. LambJohan WittgrenBenjamin FidockR. Nils PlankenJelle J. GoemanYu Cong ZhengAlexander HirschJoe F. JuffermansAnton KilburgJohannes TögerPankaj Garg

subject

automated retrospective valve trackingNetwork Functions VirtualizationMagnetic Resonance SpectroscopyIntraclass correlationRegurgitation (circulation)030204 cardiovascular system & hematologyIntracardiac injectionvalvular flow assessment regurgitation030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineConsistency (statistics)Predictive Value of Tests3automated retrospective valve trackingHealthy volunteersMedicineHumansRadiology Nuclear Medicine and imagingcardiovascular diseaseswhole heart 4D flow CMRRetrospective Studiesbusiness.industryFlow quantificationcardiovascular systemCardiology and Cardiovascular MedicineCardiac magnetic resonanceNuclear medicinebusiness

description

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.

https://hdl.handle.net/1887/3273774