<p>Accurate quantification of mitral valve regurgitation (MVR) is crucial for patient management. While different MVR quantification methods based on cardiac magnetic resonance imaging (CMR) exist, their reproducibility and reliability remain uncertain. This study aims to evaluate the reproducibility of different CMR 2D-phase contrast (PC) and 4D-flow MVR quantification methods. The inter-reader and intra-reader reproducibility were assessed using intraclass correlation coefficients (ICC). Seven methods were evaluated: 2D-PC standard (LVSV minus aortic flow), 2D-PC mitral-aortic (mitral inflow minus aortic flow), 2D-PC direct (quantifying mitral backflow), 4D-flow standard, 4D-flow mitral-aortic, 4D-flow direct, and volumetric method (LVSV minus RVSV) in 32 patients (74.8 ± 9.8 years, 28% females) with secondary MVR, analyzed independently by two experienced readers. A total of 26 patients were included in the analysis for 2D-PC and 15 for 4D-flow methods. Among all techniques, 2D-PC standard was the most reliable method with both good inter-reader (ICC = 0.85, <i>p</i> &lt; 0.001) and intra-reader agreement (ICC = 0.87, <i>p</i> &lt; 0.001). The 4D-flow standard (ICC = 0.97, <i>p</i> &lt; 0.001) and the volumetric method (ICC = 0.81, <i>p</i> &lt; 0.001) showed excellent and good intra-reader agreements, respectively, but only moderate inter-reader reproducibility (ICC = 0.52, <i>p</i> = 0.027 and ICC = 0.71, <i>p</i> &lt; 0.001). In patients with secondary MVR, 2D-PC standard method demonstrated the highest reproducibility, while 4D-flow methods showed excellent intra-reader reliability but more variable inter-reader agreement. Standardized post-processing protocols and training would likely enhance the clinical application of these techniques. Future studies should investigate these methods in larger, diverse cohorts and correlate findings with clinical outcomes.</p>

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Reproducibility and reliability of flow quantification using CMR 2D-phase contrast and 4D-Flow in secondary mitral valve regurgitation

  • Yasaman Safarkhanlo,
  • Martina Boscolo Berto,
  • Giancarlo Spano,
  • Benedikt Bernhard,
  • Jonathan Schütze,
  • Anselm W. Stark,
  • Fabien Praz,
  • Isaac Shiri,
  • Alan A. Peters,
  • Christof Schaub,
  • Eva S. Peper,
  • Chrysoula Garefa,
  • Andreas Wahl,
  • Jessica A. M. Bastiaansen,
  • Christoph Gräni

摘要

Accurate quantification of mitral valve regurgitation (MVR) is crucial for patient management. While different MVR quantification methods based on cardiac magnetic resonance imaging (CMR) exist, their reproducibility and reliability remain uncertain. This study aims to evaluate the reproducibility of different CMR 2D-phase contrast (PC) and 4D-flow MVR quantification methods. The inter-reader and intra-reader reproducibility were assessed using intraclass correlation coefficients (ICC). Seven methods were evaluated: 2D-PC standard (LVSV minus aortic flow), 2D-PC mitral-aortic (mitral inflow minus aortic flow), 2D-PC direct (quantifying mitral backflow), 4D-flow standard, 4D-flow mitral-aortic, 4D-flow direct, and volumetric method (LVSV minus RVSV) in 32 patients (74.8 ± 9.8 years, 28% females) with secondary MVR, analyzed independently by two experienced readers. A total of 26 patients were included in the analysis for 2D-PC and 15 for 4D-flow methods. Among all techniques, 2D-PC standard was the most reliable method with both good inter-reader (ICC = 0.85, p < 0.001) and intra-reader agreement (ICC = 0.87, p < 0.001). The 4D-flow standard (ICC = 0.97, p < 0.001) and the volumetric method (ICC = 0.81, p < 0.001) showed excellent and good intra-reader agreements, respectively, but only moderate inter-reader reproducibility (ICC = 0.52, p = 0.027 and ICC = 0.71, p < 0.001). In patients with secondary MVR, 2D-PC standard method demonstrated the highest reproducibility, while 4D-flow methods showed excellent intra-reader reliability but more variable inter-reader agreement. Standardized post-processing protocols and training would likely enhance the clinical application of these techniques. Future studies should investigate these methods in larger, diverse cohorts and correlate findings with clinical outcomes.