Mitral valve regurgitation assessed by intraventricular CMR 4D-flow: a systematic review on the technological aspects and potential clinical applications

The International Journal of Cardiovascular Imaging - Tập 39 Số 10 - Trang 1963-1977
Yasaman Safarkhanlo1, Bernd Jung2, Benedikt Bernhard1, Eva S. Peper2, Raymond Y. Kwong3, Jessica Bastiaansen2, Christoph Gräni4
1Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010, Bern, Switzerland
2Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland
3Noninvasive Cardiovascular Imaging Section, Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
4Translation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland

Tóm tắt

AbstractCardiac magnetic resonance (CMR) four-dimensional (4D) flow is a novel method for flow quantification potentially helpful in management of mitral valve regurgitation (MVR). In this systematic review, we aimed to depict the clinical role of intraventricular 4D-flow in MVR. The reproducibility, technical aspects, and comparison against conventional techniques were evaluated. Published studies on SCOPUS, MEDLINE, and EMBASE were included using search terms on 4D-flow CMR in MVR. Out of 420 screened articles, 18 studies fulfilled our inclusion criteria. All studies (n = 18, 100%) assessed MVR using 4D-flow intraventricular annular inflow (4D-flowAIM) method, which calculates the regurgitation by subtracting the aortic forward flow from the mitral forward flow. Thereof, 4D-flow jet quantification (4D-flowjet) was assessed in 5 (28%), standard 2D phase-contrast (2D-PC) flow imaging in 8 (44%) and the volumetric method (the deviation of left ventricle stroke volume and right ventricular stroke volume) in 2 (11%) studies. Inter-method correlations among the 4 MVR quantification methods were heterogeneous across studies, ranging from moderate to excellent correlations. Two studies compared 4D-flowAIM to echocardiography with moderate correlation. In 12 (63%) studies the reproducibility of 4D-flow techniques in quantifying MVR was studied. Thereof, 9 (75%) studies investigated the reproducibility of the 4D-flowAIM method and the majority (n = 7, 78%) reported good to excellent intra- and inter-reader reproducibility. Intraventricular 4D-flowAIM provides high reproducibility with heterogeneous correlations to conventional quantification methods. Due to the absence of a gold standard and unknown accuracies, future longitudinal outcome studies are needed to assess the clinical value of 4D-flow in the clinical setting of MVR.

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Tài liệu tham khảo

Iung B, Delgado V, Rosenhek R et al (2019) Contemporary presentation and management of valvular heart disease: the EURObservational research programme valvular heart disease II survey. Circulation 140:1156–1169

Otto CM, Nishimura RA, Bonow RO et al (2021) 2020 ACC/AHA guideline for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 77:e25–e197

Grayburn PA, Thomas JD (2021) Basic principles of the echocardiographic evaluation of mitral regurgitation. JACC Cardiovasc Imaging 14:843–853

Wang A, Grayburn P, Foster JA et al (2016) Practice gaps in the care of mitral valve regurgitation: Insights from the American College of Cardiology mitral regurgitation gap analysis and advisory panel. Am Heart J 172:70–79

Uretsky S, Animashaun IB, Sakul S et al (2022) American Society of Echocardiography algorithm for degenerative mitral regurgitation: comparison with CMR. Cardiovasc Imaging 15:747–760

Cavalcante JL, Kusunose K, Obuchowski NA et al (2020) Prognostic impact of ischemic mitral regurgitation severity and myocardial infarct quantification by cardiovascular magnetic resonance. Cardiovasc Imaging 13:1489–1501

Dyverfeldt P, Bissell M, Barker AJ et al (2015) 4D flow cardiovascular magnetic resonance consensus statement. J Cardiovasc Magn Reson 17:72

Pruijssen JT, Allen BD, Barker AJ et al (2020) Hypertrophic cardiomyopathy is associated with altered left ventricular 3d blood flow dynamics. Radiol Cardiothor Imaging 2020:2

Calkoen EE, Roest AAW, Kroft LJM et al (2015) Characterization and improved quantification of left ventricular inflow using streamline visualization with 4DFlow MRI in healthy controls and patients after atrioventricular septal defect correction. J Magn Reson Imaging 41:1512–1520

Calkoen EE, Westenberg JJM, Kroft LJM et al (2015) Characterization and quantification of dynamic eccentric regurgitation of the left atrioventricular valve after atrioventricular septal defect correction with 4D Flow cardiovascular magnetic resonance and retrospective valve tracking. J Cardiovasc Magn Reson 2015:17

Calkoen EE, Elbaz MSM, Westenberg JJM et al (2015) Altered left ventricular vortex ring formation by 4-dimensional flow magnetic resonance imaging after repair of atrioventricular septal defects. J Thorac Cardiovasc Surg 150:1233-1240.e1

Morichi H, Itatani K, Yamazaki S et al (2020) Influences of mitral annuloplasty on left ventricular flow dynamics assessed with 3-dimensional cine phase-contrast flow magnetic resonance imaging. J Thorac Cardiovasc Surg 2020:589

Fidock B, Barker N, Balasubramanian N et al (2019) A systematic review of 4D-flow MRI derived mitral regurgitation quantification methods. Front Cardiovasc Med 6:103

Burnham JF (2006) Scopus database: a review. Biomed Digit Libr 3:1

Liberati A, Altman DG, Tetzlaff J et al (2009) The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. J Clin Epidemiol 62:e1-34

Spampinato RA, Jahnke C, Crelier G et al (2021) Quantification of regurgitation in mitral valve prolapse with four-dimensional flow cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2021:23

Mills MT, Grafton-Clarke C, Williams G et al (2021) Feasibility and validation of trans-valvular flow derived by four-dimensional flow cardiovascular magnetic resonance imaging in patients with atrial fibrillation. Wellcome Open Res 6:73–73

Gupta AN, Soulat G, Avery R et al (2021) 4D flow MRI left atrial kinetic energy in hypertrophic cardiomyopathy is associated with mitral regurgitation and left ventricular outflow tract obstruction. Int J Cardiovasc Imaging 2021:89

Jacobs K, Rigdon J, Chan F et al (2020) Direct measurement of atrioventricular valve regurgitant jets using 4D flow cardiovascular magnetic resonance is accurate and reliable for children with congenital heart disease: a retrospective cohort study. J Cardiovasc Magn Resonance 22:1

Fidock B, Archer G, Barker N et al (2021) Standard and emerging CMR methods for mitral regurgitation quantification. Int J Cardiol 331:316–321

Calkoen EE, De Koning PJH, Blom NA et al (2015) Disturbed intracardiac flow organization after atrioventricular septal defect correction as assessed with 4D flow magnetic resonance imaging and quantitative particle tracing. Invest Radiol 50:850–857

Blanken CPS, Westenberg JJM, Aben J-P et al (2020) Quantification of mitral valve regurgitation from 4D flow MRI using semiautomated flow tracking. Radiol Cardiothorac Imaging 2:e200004

Feneis JF, Kyubwa E, Atianzar K et al (2018) 4D flow MRI quantification of mitral and tricuspid regurgitation: reproducibility and consistency relative to conventional MRI. J Magn Reson Imaging 48:1147–1158

Hsiao A, Tariq U, Alley MT, Lustig M, Vasanawala SS (2015) Inlet and outlet valve flow and regurgitant volume may be directly and reliably quantified with accelerated, volumetric phase-contrast MRI. J Magn Reson Imaging 41:376–385

Juffermans JF, Minderhoud SCS, Wittgren J et al (2021) Multicenter consistency assessment of valvular flow quantification with automated valve tracking in 4D flow CMR. JACC Cardiovasc Imaging 14:1354

Kamphuis VP, Roest AAW, Marsan NA et al (2019) Automated cardiac valve tracking for flow quantification with four-dimensional flow MRI. Radiology 290:70–78

Garg P, Swift AJ, Zhong L et al (2020) Assessment of mitral valve regurgitation by cardiovascular magnetic resonance imaging. Nature Rev Cardiol Nature Res 2020:298–312

Westenberg JJ, Roes SD, Ajmone Marsan N et al (2008) Mitral valve and tricuspid valve blood flow: accurate quantification with 3D velocity-encoded MR imaging with retrospective valve tracking. Radiology 249:792–800

Vermes E, Iacuzio L, Levy F et al (2022) Role of cardiovascular magnetic resonance in native valvular regurgitation: a review of protocols, grading of severity and prediction of valve intervention. Front Cardiovasc Med 9:1695

Soulat G, Scott MB, Allen BD et al (2022) Association of regional wall shear stress and progressive ascending aorta dilation in bicuspid aortic valve. JACC Cardiovasc Imaging 15:33–42

Chu S, Kilinc O, Pradella M et al (2022) Baseline 4D flow-derived in vivo hemodynamic parameters stratify descending aortic dissection patients with enlarging aortas. Front Cardiovasc Med 9:905718

Arvidsson PM, Toger J, Pedrizzetti G et al (2018) Hemodynamic forces using four-dimensional flow MRI: an independent biomarker of cardiac function in heart failure with left ventricular dyssynchrony? Am J Physiol Heart Circ Physiol 315:H1627–H1639

Ma LE, Yerly J, Piccini D et al (2020) 5D flow MRI: a fully self-gated, free-running framework for cardiac and respiratory motion-resolved 3D hemodynamics. Radiol Cardiothorac Imaging 2:e200219

Corrado PA, Wentland AL, Starekova J, Dhyani A, Goss KN, Wieben O (2022) Fully automated intracardiac 4D flow MRI post-processing using deep learning for biventricular segmentation. Eur Radiol 32:1–10

Bustamante M, Gupta V, Forsberg D, Carlhäll C-J, Engvall J, Ebbers T (2018) Automated multi-atlas segmentation of cardiac 4D flow MRI. Med Image Anal 49:128–140

Bustamante M, Viola F, Engvall J, Carlhäll CJ, Ebbers T (2022) Automatic time-resolved cardiovascular segmentation of 4D flow MRI using deep learning. J Magn Reson Imaging 57:1

Garcia J, Beckie K, Hassanabad AF, Sojoudi A, White JA (2021) Aortic and mitral flow quantification using dynamic valve tracking and machine learning: prospective study assessing static and dynamic plane repeatability, variability and agreement. JRSM Cardiovasc Dis 10:2048004021999900

Steding-Ehrenborg K, Arvidsson PM, Toger J et al (2016) Determinants of kinetic energy of blood flow in the four-chambered heart in athletes and sedentary controls. Am J Physiol Heart Circ Physiol 310:H113–H122

Stone GW, Lindenfeld J, Abraham WT et al (2018) Transcatheter mitral-valve repair in patients with heart failure. N Engl J Med 379:2307–2318

Obadia JF, Messika-Zeitoun D, Leurent G et al (2018) Percutaneous repair or medical treatment for secondary mitral regurgitation. N Engl J Med 379:2297–2306

Al-Wakeel N, Fernandes JF, Amiri A, Siniawski H, Goubergrits L, Berger F, Kuehne T (2015) Hemodynamic and energetic aspects of the left ventricle in patients with mitral regurgitation before and after mitral valve surgery. J Magn Reson Imaging 42(6):1705–1712. https://doi.org/10.1002/jmri.24926