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September 15, 2009Investigative Radiology152 citations

Flow Assessment Through Four Heart Valves Simultaneously Using 3-Dimensional 3-Directional Velocity-Encoded Magnetic Resonance Imaging With Retrospective Valve Tracking in Healthy Volunteers and Patients With Valvular Regurgitation

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SRStijntje D. RoesSHSebastiaan HammerRGRob J. van der Geest

Key Result

3D 3-directional velocity-encoded MRI with retrospective valve-tracking enabled accurate quantification of net flow volumes through all 4 heart valves simultaneously with strong correlations (ICC 0.85-0.95).

Study Design

Type

Cross-Sectional (n=51)

Structured PICO

Does 3D 3-directional VE MRI with retrospective valve-tracking accurately quantify net flow volumes through all 4 heart valves simultaneously in healthy volunteers and patients with valvular regurgitation?

P
Population
51 participants, comprising 22 healthy volunteers and 29 patients with ischemic cardiomyopathy suspected of valvular regurgitation, underwent 3D 3-directional VE MRI.
E
Exposure
3-dimensional 3-directional velocity-encoded (VE) magnetic resonance imaging (MRI) with retrospective valve-tracking during off-line analysis.
O
Outcome
Net flow volumes through the 4 heart valves and regurgitation fraction, including intra- and interobserver agreement.surrogate

3D 3-directional VE MRI with retrospective valve-tracking enables accurate, simultaneous quantification of net flow volumes through all four heart valves in a single acquisition.

Abstract

OBJECTIVES: To validate 3-dimensional (3D) 3-directional velocity-encoded (VE) magnetic resonance imaging (MRI) for flow assessment through all 4 heart valves simultaneously with retrospective valve-tracking during off-line analysis in healthy volunteers and in patients with valvular regurgitation. MATERIAL AND METHODS: Three-dimensional 3-directional VE MRI was performed in 22 healthy volunteers and in 29 patients with ischemic cardiomyopathy who were suspected of valvular regurgitation and net flow volumes through the 4 heart valves were compared. Furthermore, the analysis was repeated for each valve in 10 healthy volunteers and in 10 regurgitant valves to assess intra- and interobserver agreement for assessment of respectively net flow volumes and regurgitation fraction. RESULTS: In healthy volunteers, the average net flow volume through the mitral valve, tricuspid valve, aortic valve, and pulmonary valve was 85 +/- 20 mL, 85 +/- 21 mL, 83 +/- 19 mL, 82 +/- 21 mL, respectively. Strong correlations between net flow volumes through the 4 heart valves were observed (intraclass correlation coefficients ICC 0.93-0.95) and the coefficient of variance (CV) was small (6%-9%). The repeated analysis by the same observer and by a second observer yielded good agreement for measurement of net flow volumes (ICC: 0.93-0.99 and CV: 3%-7%). Strong correlations between the net flow volumes through the 4 heart valves were also observed in the patients with valvular regurgitation (ICC: 0.85-0.95 and CV: 7%-18%). The average net flow volume through the mitral valve, tricuspid valve, aortic valve, and pulmonary valve was 63 +/- 20 mL, 63 +/- 20 mL, 63 +/- 20 mL, 63 +/- 20 mL, respectively. Furthermore, the intra- and interobserver agreement for assessment of regurgitation fraction was good (ICC: 0.86 and 0.85, CV: 12% and 13%). CONCLUSIONS: Flow assessment using 3D 3-directional VE MR with retrospective valve-tracking during off-line analysis enables accurate quantification of net flow volumes through 4 heart valves within a single acquisition in healthy volunteers and in patients with valvular regurgitation.

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Cite This Study

Roes et al. (2009) conducted a cross-sectional in Valvular regurgitation (n=51). 3D 3-directional velocity-encoded MRI with retrospective valve-tracking was evaluated on Net flow volumes through the 4 heart valves and regurgitation fraction. 3D 3-directional velocity-encoded MRI with retrospective valve-tracking enabled accurate quantification of net flow volumes through all 4 heart valves simultaneously with strong correlations (ICC 0.85-0.95).

synapsesocial.com/papers/6a2088a655df6adc1bcd4da3https://doi.org/10.1097/rli.0b013e3181ae99b5
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