Roos Paul R, In de Braekt Thomas, Lamb Hildo J, Westenberg Jos J M
Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.
Department of Radiology, Catherina Hospital, Eindhoven, The Netherlands.
Eur Heart J Imaging Methods Pract. 2025 Mar 10;3(1):qyaf020. doi: 10.1093/ehjimp/qyaf020. eCollection 2025 Jan.
4D flow magnetic resonance imaging (MRI) has enabled evaluation of intracardiac flow dynamics by particle tracing for visualizing and quantifying complex flow patterns. The aim of this study was to assess the impact of respiratory motion compensation on 4D flow MRI-based left ventricular four-component particle tracing, valve tracking, and haemodynamics.
In this prospective cohort study, 4D flow MRI with and without respiratory motion compensation was performed in 15 healthy volunteers. Intracardiac particle tracing considered four components: direct flow, delayed ejection flow (DEF), retained inflow (RI), and residual volume. Data quality was assessed by comparing DEF and RI components. Particle tracing, valve tracking, kinetic energy (KE), and vorticity were compared between scan methods. Paired sample -tests and intraclass correlation analysis were performed with an alpha of 0.05. DEF, RI, ejection fraction, and stroke volume were different between scan methods. Five participants showed DEF-RI mismatch > 10%. After excluding these, differences in flow fractions were non-significant. Differences in stroke volume, ejection fraction, and valvular flow mismatch between scan methods remained. Valve tracking was comparable between scan methods and correlated well with particle tracing. Absolute mismatch between particle tracing- and valve tracking-based mitral flow, and KE and vorticity at A-peak, was higher for non-compensated MRI.
Respiratory motion compensation can improve accuracy of intracardiac particle tracing based on 4D flow MRI by decreasing mismatch to retrospective valve tracking. For intracardiac particle tracing, respiratory motion compensation is advised. Robust data quality assessment for particle tracing-based analyses is equally crucial.
四维血流磁共振成像(MRI)能够通过粒子追踪来评估心内血流动力学,以可视化和量化复杂的血流模式。本研究的目的是评估呼吸运动补偿对基于四维血流MRI的左心室四成分粒子追踪、瓣膜追踪和血流动力学的影响。
在这项前瞻性队列研究中,对15名健康志愿者进行了有无呼吸运动补偿的四维血流MRI检查。心内粒子追踪考虑四个成分:直接血流、延迟射血血流(DEF)、保留流入(RI)和残余容积。通过比较DEF和RI成分来评估数据质量。比较了两种扫描方法之间的粒子追踪、瓣膜追踪、动能(KE)和涡度。采用配对样本t检验和组内相关分析,α值设定为0.05。两种扫描方法之间的DEF、RI、射血分数和每搏输出量存在差异。5名参与者的DEF-RI不匹配>10%。排除这些参与者后,血流分数差异无统计学意义。两种扫描方法之间的每搏输出量、射血分数和瓣膜血流不匹配仍存在差异。两种扫描方法之间的瓣膜追踪具有可比性,且与粒子追踪相关性良好。对于未补偿的MRI,基于粒子追踪和瓣膜追踪的二尖瓣血流之间的绝对不匹配以及A峰处的KE和涡度更高。
呼吸运动补偿可通过减少与回顾性瓣膜追踪的不匹配来提高基于四维血流MRI的心内粒子追踪的准确性。对于心内粒子追踪,建议进行呼吸运动补偿。对基于粒子追踪的分析进行可靠的数据质量评估同样至关重要。