journal article Apr 11, 2018

4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI

View at Publisher Save 10.1002/jmri.26040
Abstract
BackgroundIn patients with mitral or tricuspid valve regurgitation, evaluation of regurgitant severity is essential for determining the need for surgery. While transthoracic echocardiography is widely accessible, it has limited reproducibility for grading inlet valve regurgitation. Multiplanar cardiac MRI is the quantitative standard but requires specialized local expertise, and is thus not widely available. Volumetric 4D flow MRI has potential for quantitatively grading the severity of inlet valve regurgitation in adult patients.PurposeTo evaluate the accuracy and reproducibility of volumetric 4D flow MRI for quantification of inlet valvular regurgitation compared to conventional multiplanar MRI, which may simplify and improve accessibility of cardiac MRI.Study TypeThis retrospective, HIPAA‐compliant imaging‐based comparison study was conducted at a single institution.SubjectsTwenty‐one patients who underwent concurrent multiplanar and 4D flow cardiac MRI between April 2015 and January 2017.Field Strength/Sequences3T; steady‐state free‐precession (SSFP), 2D phase contrast (2D‐PC), and postcontrast 4D flow.AssessmentWe evaluated the intertechnique (4D flow vs. 2D‐PC), intermethod (direct vs. indirect measurement), interobserver and intraobserver reproducibility of measurements of regurgitant flow volume (RFV), fraction (RF), and volume (RVol).Statistical TestsStatistical analysis included Pearson correlation, Bland–Altman statistics, and intraclass correlation coefficients.ResultsThere was high concordance between 4D flow and multiplanar MRI, whether using direct or indirect methods of quantifying regurgitation (r = 0.813–0.985). Direct interrogation of the regurgitant jet with 4D flow showed high intraobserver consistency (r = 0.976–0.999) and interobserver consistency (r = 0.861–0.992), and correlated well with traditional indirect measurements obtained as the difference between stroke volume and forward outlet valve flow.Data Conclusion4D flow MRI provides highly reproducible measurements of mitral and tricuspid regurgitant volume, and may be used in place of conventional multiplanar MRI.Level of Evidence: 4Technical Efficacy: Stage 2J. Magn. Reson. Imaging 2018;48:1147–1158.
Topics

No keywords indexed for this article. Browse by subject →

References
40
[10]
Recommendations for Noninvasive Evaluation of Native Valvular Regurgitation

William A. Zoghbi, David Adams, Robert O. Bonow et al.

Journal of the American Society of Echocardiograph... 10.1016/j.echo.2017.01.007
[16]
Quantitation of mitral regurgitation with cardiac magnetic resonance imaging: a systematic review

Eric V Krieger, James Lee, Kelley R Branch et al.

Heart 10.1136/heartjnl-2015-309054
[21]
Pelc NJ "Phase contrast cine magnetic resonance imaging" Magn Reson Q (1991)
[29]
Vasanawala SS "Congenital heart disease assessment with 4D flow MRI" J Magn Reson Imaging (2015)
[31]
Cheng JY "Comprehensive motion‐compensated highly accelerated 4D flow MRI with ferumoxytol enhancement for pediatric congenital heart disease" J Magn Reson Imaging (2015)
[34]
Uecker M "ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA" Magn Reson Med (2013)
[35]
Forming inferences about some intraclass correlation coefficients.

Kenneth O. McGraw, S. P. Wong

Psychological Methods 10.1037/1082-989x.1.1.30
Metrics
94
Citations
40
References
Details
Published
Apr 11, 2018
Vol/Issue
48(4)
Pages
1147-1158
License
View
Cite This Article
Jennifer F. Feneis, Espoir Kyubwa, Kimberly Atianzar, et al. (2018). 4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI. Journal of Magnetic Resonance Imaging, 48(4), 1147-1158. https://doi.org/10.1002/jmri.26040
Related

You May Also Like

MR thermometry

Viola Rieke, Kim Butts Pauly · 2008

1,044 citations

NMR relaxation times in the human brain at 3.0 tesla

Janaka P. Wansapura, Scott K. Holland · 1999

548 citations

Parallel MR imaging

Anagha Deshmane, Vikas Gulani · 2012

539 citations