Skip to main content

Evaluation of aortic stenosis using cardiovascular magnetic resonance: a systematic review & meta-analysis

Abstract

Background

As the average age of patients with severe aortic stenosis (AS) who receive procedural intervention continue to age, the need for non-invasive modalities that provide accurate diagnosis and operative planning is increasingly important. Advances in cardiovascular magnetic resonance (CMR) over the past two decades mean it is able to provide haemodynamic data at the aortic valve, along with high fidelity anatomical imaging.

Methods

Electronic databases were searched for studies comparing CMR to transthoracic echocardiography (TTE) and transoesophageal echocardiography (TEE) in the diagnosis of AS. Studies were included only if direct comparison was made on matched patients, and if diagnosis was primarily through measurement of aortic valve area (AVA).

Results

Twenty-three relevant, prospective articles were included in the meta-analysis, totalling 1040 individual patients. There was no significant difference in AVA measured as by CMR compared to TEE. CMR measurements of AVA size were larger compared to TTE by an average of 10.7% (absolute difference: + 0.14cm2, 95% CI 0.07–0.21, p < 0.001). Reliability was high for both inter- and intra-observer measurements (0.03cm2 +/− 0.04 and 0.02cm2 +/− 0.01, respectively).

Conclusions

Our analysis demonstrates the equivalence of AVA measurements using CMR compared to those obtained using TEE. CMR demonstrated a small but significantly larger AVA than TTE. However, this can be attributed to known errors in derivation of left ventricular outflow tract size as measured by TTE. By offering additional anatomical assessment, CMR is warranted as a primary tool in the assessment and workup of patients with severe AS who are candidates for surgical or transcatheter intervention.

Introduction

Cardiovascular magnetic resonance imaging (CMR) has, since its introduction in the 1980s, evolved to become a viable non-invasive alternative to echocardiography for a wide variety of cardiac pathology. Aortic stenosis (AS) is a common disease with a devastating clinical impact; without intervention AS progresses inexorably and once symptoms develop the life-expectancy is reduced to an average of 3 years unless the mechanical obstruction is not relieved [1]. Transthoracic echocardiography (TTE) is the clinical reference standard - it is rapid, safe, well tolerated by patients and is by far the most common exam used for evaluation of aortic valvular disease. The considerable technical advances in CMR have improved the quality of the anatomical and functional information available from CMR. Here, we systematically the current available evidence regarding the use of CMR compared to echocardiography to evaluate the clinical status and practicality of this technique [2].

Diagnosis of AS, and particularly severe AS is determined by a combination of mean and peak pressure gradients across the valve as well as the effective valve orifice, or aortic valve area (AVA) [2]. Based on these criteria severe AS is specified by an AVA of <1cm2 determined by the maximum opening of the aortic valve during systole [3]. Several methods have been designed to calculate this, including the Gorlin formula [4] for use with invasive cardiac catheterisation (now seldom used), the continuity equation [5] used with TTE and determined on a series of measurements including the left ventricular outflow tract (LVOT), and planimetry [6] and computed tomography (CT) that determine AVA by direct measurement of the valve orifice.

CMR has emerged as an alternate, non-invasive method, and offers prognostic and planning potential for procedural intervention in the form of transcatheter aortic valve implantation (TAVI) or surgical aortic valve replacement (SAVR). Additionally, CMR provides high fidelity anatomical imaging, thus avoiding the need for additional imaging tools such as CT in the workup for valve intervention. This may be particularly beneficial in patients with impaired renal function where high iodinated contrast loads required for CT imaging are contraindicated [7]. Contrast enhanced CMR can provide valuable information on anatomy and myocardial scar, however gadolinium contrast is not required for basic functional assessment or for valve flow quantification [8].

The rapid recent growth in volume of aortic interventional procedures is increasing demand for accurate assessment of aortic valve anatomy and function. CMR represents an attractive non-invasive method in view of the lack of radiation exposure, the relative safety of non-ionic gadolinium agents relative to iodine contrast, and the ability of CMR to provide a mix of cross-sectional anatomical, flow and ventricular functional information. This paper aims to review the current literature on use of CMR for aortic valve assessment in comparison to both TTE and transesophageal echocardiography (TEE).

Methods

Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines, electronic searches were conducted by two authors (KW + SG). Electronic searches were performed using Web of Knowledge, Embase, and PubMed. Keywords included in the search were “CMR”, “cardiac magnetic resonance”, “aorta”, “aortic valve” “aortic root” and “aortic pathology”. Eligible studies were prospective studies published in English that compared CMR with either TTE or TEE for AVA evaluation. The reference lists of all retrieved articles were reviewed for further identification of potentially relevant studies (Fig. 1). All data were extracted from article texts, tables, figures, and appendices. Articles included were assessed for quality using the Newcastle-Ottawa Quality Assessment Scale (NOS) (Supplementary).

Fig. 1
figure1

PRISMA search strategy

Inclusion criteria

Only studies that specified either measured or derived AVA (as opposed to correlations between imaging methods) were included in the meta-analysis portion of the review.

Analysis

Baseline characteristics and intervention details were presented as raw values (%) or mean ± standard deviation unless otherwise indicated. Pooled values for clinical outcomes were reported as mean ± standard deviation or as otherwise specified. Data were summarized as standard mean difference, with overall weighted mean presented where appropriate. I2 statistic was used to estimate the percentage of total variation across studies, due to heterogeneity rather than chance. An I2 value of greater than 50% was considered substantial heterogeneity. If there was substantial heterogeneity, the possible clinical and methodological reasons for this were explored qualitatively. All P-values were 2-sided. A significant difference was defined as P < 0.05 (without correction for multiplicity). Statistical analysis was conducted with Review Manager Version 5.3 (Cochrane Collaboration, Software Update, Oxford, UK).

Results

A total of 2623 publications were identified through two online database searches and from collated reference lists (Fig. 1). After exclusion of duplicated or irrelevant publications, a total of 23 relevant, prospective articles were included in the meta-analysis, totalling 1040 individual patients [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]. One study which investigated the use of CMR in subsets of low flow/low gradient AS (59 patients of 128 total) was separated into four discrete datasets for the meta-analysis [9] (Table 1). AS was identified in 659 (63.4%) patients, aortic regurgitation (AR) in 26 (2.2%), mixed pathology in 74 (6.3%), and controlled subjects numbered 294 (28.3%).

Table 1 Summary of papers included in the meta-analysis

The vast majority of measurements were done using a 1.5 T CMR (1030 subjects, 99.1%) patients, a 3 T CMR was used in only 10 (0.9%) patients. CMR protocols used included balanced steady-state free procession (bSSFP) in 967 (93.0%) patients and gradient echo (GRE) in 73 (7.0%) patients. Where multiple protocols were used, the one closest to the study result was used in the meta-analysis, as detailed in the footnotes. Measurements of AVA by CMR was performed by planimetry of the inner valve leaflet edges during maximal opening in systole, this was similar to measurements obtained by TEE. TTE measurements were by derived using the continuity equation.

Valve area assessment

Mean CMR measured AVA was significantly larger than TTE by 10.7% (mean difference: + 0.14cm2, 95% CI 0.07–0.21, p < 0.001), but was equivalent to TEE measurements (− 0.01cm2, 95% CI -0.06 – 0.03, p = 0.68) (Figs. 2 and 3).

Fig. 2
figure2

Comparison of cardiovascular magnetic resonance (CMR) to transthoracic echocardiography (TTE) for assessment of aortic valve area (AVA). Forrest plot of AVA measurements (mean + SD) for CMR and TTE demonstrate a significantly larger measurement obtained by CMR as compared to TTE

Fig. 3
figure3

Comparison of CMR to transesophageal echocardiography (TEE) for assessment of AVA. Forrest plot of AVA measurements (mean + SD) for CMR and TEE demonstrate no significant difference between the two modalities

Repeatability

Table 1 further summarises data from the 14 studies that presented data on either inter- or intra-observer variability. This data was present in a mixture of formats and was therefore not included in the formal meta-analysis. Reliability of CMR was generally high with mean inter-observer difference of 0.03cm2 +/− 0.04 (7 studies) and 3.1% +/− 0.35 (7 studies). Similarly, intra-observer difference was also small, 0.02cm2 +/− 0.01 (7 studies) and 2.3% +/− 0.22 (7 studies).

Haemodynamics

Of the papers reviewed for this study six compared haemodynamic measurements between CMR and TTE. CMR techniques were heterogeneous, including some novel algorithms. Overall haemodynamic measurements by CMR demonstrated good correlation to TTE, however absolute values tended to be lower (Table 2).

Table 2 Comparison of haemodynamic measurements between CMR and TTE

Discussion

This meta-analysis of 1040 patients compared CMR to currently validated diagnostic techniques for estimation of AVA as part of the diagnosis of AS. CMR compared favourably to TEE, with no significant difference in measurements across these modalities. AVA measurements from CMR overestimate those from TTE by an average of 0.17cm2.

A standard for measurement of AS is cardiac catheterisation, but due to its invasive nature and risk of potential stroke is rarely performed in favour of less invasive and safer procedures. TTE is the clinical reference standard, however previous studies have shown that CMR performs as well as, or better than, TTE or TEE compared to direct catheterisation in the assessment of aortic stenosis [20, 28].

The AVA measurement from TTE assessment is derived using the continuity equation and is based on the ratio between Doppler stroke volume and post-aortic valve flow. Calculation of Doppler stroke volume relies on an accurate estimation of the LVOT, a value that is then squared in the continuity equation formula. In TTE this is done at one measurement, in the parasternal long-axis view, on the assumption that the LVOT is circular. However experience from TAVI valve sizing highlights that the LVOT is frequently elliptical and thus measurements from TTE may underestimate or underestimate the true LVOT size, and subsequently also underestimate AVA [32, 33] or overestimated AVA. This was confirmed in a paper by Chin et al., which demonstrated that TTE underestimated AVA by 0.23cm2 compared with CMR [34]. Similar discrepancies in calculated AVA have been noted in other studies comparing CT to TTE and TEE to TTE for AVA measurements [35, 36]. The discrepancies noted have significant implication on AS grading and provide an explanation for the so-named “paradoxical low-flow, low-gradient severe AS” [34]. Furthermore, use of the continuity equation creates further confoundment in the form of pressure recovery estimation errors of AS severity. In a large cohort study of over 1000 patients it was noted that with specific pressure recovery adjustment almost 50% of severe AS patients were reclassified as non-severe [37]. The ability of CMR to assess complete cardiac function, including blood velocity in multiple sites simultaneously, makes correction of pressure recovery discrepancies far easier and less prone to user error [38, 39].

For patients with low gradient severe aortic stenosis. There was again good correlation between TTE and CMR values for measured LVOT and AVA. CMR calculated AVA slightly larger in patients with low gradient severe aortic stenosis compared to high gradient severe AS, however as mentioned above this is likely due to estimation errors derived from TTE [9]. This highlights a major advantage of CMR over echocardiography for anatomical based diagnosis of patients with low flow low gradient severe aortic stenosis.

Patients with severe AS who are TAVI candidates need accurate anatomical assessments of their LVOT, aortic annulus size, coronary anatomy, and ascending aorta. Studies have demonstrated that CMR produces values in keeping with those seen in CT and TEE for morphological assessments [26, 40, 41]. CT is able to provide precise evaluation of vascular and annular calcification, as well as routine vessel size measurements - facilitating interventional planning. CMR could potentially be used similarly but this is not currently widely practiced. However CMR is the gold standard for functional evaluation of the left ventricle and, unlike CT, can identify the pathological effects of left ventricular remodelling, particularly subendocardial fibrosis, which have been implicated in prognosis post AVR or TAVI [30, 42].

CMR allows for more accurate assessment of valve pathology because it can render images in any plane, however this comes at the price of some loss finer detail due to thicker imaging slices in lower powered machines [43]. Nevertheless, studies have demonstrated higher sensitivity and specificity of CMR to identify correct valvular pathology when compared with traditional methods and confirmed pathologically [11, 44, 45]. Because of the ability of CMR to measure time-resolved, cross-sectional flow (as opposed to inferred flow rates derived in Doppler echocardiography) it may also provide benefit in patients with complex aortic morphology not amenable to echocardiographic assessment [43].

CMR also avoids many of the pitfalls of other imaging techniques including: unnecessary sedation/anaesthesia for TEE and contrast exposure of CT. Gadolinium contrast is not necessary for evaluation of function using cine CMR sequences or for quantification of flow using phase contrast techniques. Avoiding the contrast loading of CT is often cited as another potential benefit of CMR. Currently guidelines still advocate caution and most suggest an estimated glomerular filtration rate (eGFR) < 30 ml/min/1.73 m2 be a cut-off for patients who are at increased risk of contrast induced nephropathy [7]. Considering that most patients with severe AS are elderly, and eGFR has a natural decline with age, this presents significant implications to anatomical screening in prospective patients with iodine contrast reliant methods.

CMR has the potential for accurate haemodynamic measurements of the cardiovascular system [8, 46,47,48]. However, this is not standard practice and significant heterogeneity exists in the algorithms used to calculate transvalvular aortic gradients. The prevailing evidence in the literature suggests that current clinical CMR protocols give reasonably good correlation to TTE haemodynamic measurements but in general will underestimate these to a variable degree [13, 17, 21, 49, 50]. The presence of turbulent flow present challenges for both echocardiography and CMR measurements and accounts for some differences between [17]. Turbulent flow results in signal loss during CMR due to intravoxel dephasing, which may lead to inaccurate measurements of effective orifice area boundaries [51]. Peak gradient estimation in echocardiography is directly affected by turbulent flow since the Bernouli equation can underestimate the true pressure difference by not accounting for flow turbulence, and overestimate the total pressure loss by neglecting the effect of pressure recovery in the post-stenotic region [17, 52]. CMR evaluation of flow at extremely high flow is known to underestimate velocity measurements, secondary to intravoxel dephasing errors [25], although improvements in CMR hardware have improved performance through reductions in echo time (TE) and secondary eddy currents [53]. Advanced methods such as adaptive valve plane phase-contrast CMR and 4D-flow CMR are now clinically feasible, but have not yet translated to the clinical setting, and will need clinicals familiar to their protocols to become used in general clinical applications.

Conclusion

Our analysis demonstrates the equivalence of valve area measurements in AS using CMR compared to those obtained using TEE. A small but significance difference was noted between CMR and TTE, where higher values found using CMR. Prior data shows that TTE underestimates AVA calculated from LVOT area compared to TEE, attributed to incomplete visualisation of the non-uniform anatomy of the aortic valve. Evidence relating to aortic velocity and pressure gradient measurements are highly heterogeneous, reflecting the complex and evolving nature of CMR flow technology. Given the equivalence of CMR AVA to the clinical reference standard, the additional benefits of CMR may increase the value proposition of this technique for pre-operative workup. Although TTE is rapid, safe, and well tolerated by patients, the ability of CMR to accurately image the remainder of the cardiovascular system, warrant its inclusion in the broader assessment and surgical workup of patients with AS.

Availability of data and materials

Not applicable.

Abbreviations

AR:

Aortic regurgitation

AS:

Aortic stenosis

AVA:

Aortic valve area

bSSFP:

Balanced steady state free precession

CMR:

Cardiovascular magnetic resonance

CT:

Computed tomography

eGFR:

Estimated glomerular filtration rate

LVOT:

Left ventricular outflow tract

MG:

Mean gradient

NOS:

Newcastle-Ottawa Quality Assessment scale

PG:

Peak gradient

PRISMA:

Preferred Reporting Items for Systematic Reviewrs and Meta-Analysis

PV:

Peak velocity

SAVR:

Surgical aortic valve replacement

TAVI:

Transcatheter aortic valve implantation

TE:

Echo time

TEE:

Transesophageal echocardiography

TTE:

Transthoracic echocardiography

References

  1. 1.

    Carabello BA. Introduction to aortic stenosis. Circ Res. 2013;113(2):179–85 American Heart Association, Inc.

    CAS  PubMed  Article  Google Scholar 

  2. 2.

    Nishimura RA, Otto CM, Bonow RO, Carabello BA, Erwin JP, Guyton RA, et al. AHA/ACC guideline for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association task force on practice guidelines. J Thoracic Cardiovasc Surg. 2014;148:e1–e132 Elsevier.

    Article  Google Scholar 

  3. 3.

    Sommer G, Bremerich J, Lund G. Magnetic resonance imaging in valvular heart disease: clinical application and current role for patient management. J Magn Reson Imaging. 2012;35(6):1241–52.

    PubMed  Article  Google Scholar 

  4. 4.

    GORLIN R, GORLIN SG. Hydraulic formula for calculation of the area of the stenotic mitral valve, other cardiac valves, and central circulatory shunts. I American Heart Journal. 1951;41(1):1–29.

    CAS  PubMed  Article  Google Scholar 

  5. 5.

    Otto CM, Pearlman AS, Comess KA, Reamer RP, Janko CL, Huntsman LL. Determination of the stenotic aortic valve area in adults using Doppler echocardiography. JAC. 1986;7(3):509–17.

    CAS  Google Scholar 

  6. 6.

    Hoffmann R, Flachskampf FA, Hanrath P. Planimetry of orifice area in aortic stenosis using multiplane transesophageal echocardiography. JAC. 1993;22(2):529–34.

    CAS  Google Scholar 

  7. 7.

    ACR Manual on Contrast Media. 10 ed. Virginia, USA: ACR Committee on Drugs and Contrast Media; 2017 Jun pp. 1–129.

  8. 8.

    Lawley CM, Broadhouse KM, Callaghan FM, Winlaw DS, Figtree GA, Grieve SM. 4D flow magnetic resonance imaging: role in pediatric congenital heart disease. Asian Cardiovasc Thorac Ann. 2017;26(1):28–37 SAGE PublicationsSage UK: London, England.

    PubMed  Article  Google Scholar 

  9. 9.

    Barone-Rochette G, Pierard S, Seldrum S, de Meester de Ravenstein C, Melchior J, Maes F, et al. Aortic valve area, stroke volume, left ventricular hypertrophy, remodeling, and fibrosis in aortic stenosis assessed by Cardiac magnetic resonance imaging: comparison between high and low gradient and Normal and low flow aortic stenosis. Circ Cardiovasc Imaging. 2013;6(6):1009–17.

    PubMed  Article  Google Scholar 

  10. 10.

    Bruder O, Jochims M, Hunold P, Jensen C, Forsting M, Sabin GV, et al. Comparison of aortic valve area measured by magnetic resonance imaging and dual-source computed tomography. Acta Radiol. 2009;50(6):645–51.

    CAS  PubMed  Article  Google Scholar 

  11. 11.

    Buchner S, Debl K, Schmid F-X, Luchner A, Djavidani B. Cardiovascular magnetic resonance assessment of the aortic valve stenosis: an in vivo and ex vivo study. BMC Med Imaging. 2015;22:1–8.

    Google Scholar 

  12. 12.

    Debl K, Djavidani B, Seitz J, Nitz W, Schmid FX, Muders F, et al. Planimetry of aortic valve area in aortic stenosis by magnetic resonance imaging. Investig Radiol. 2005;40(10):361–636.

    Article  Google Scholar 

  13. 13.

    Defrance C, Bollache E, Kachenoura N, Perdrix L, Hrynchyshyn N, Bruguiere E, et al. Evaluation of aortic valve stenosis using cardiovascular magnetic resonance: comparison of an original Semiautomated analysis of phase-Contrast cardiovascular magnetic resonance with Doppler echocardiography. Circ Cardiovasc Imaging. 2012;5(5):604–12.

    PubMed  Article  Google Scholar 

  14. 14.

    Dimitriou P, Kahari A, Emilsson K, Thunberg P. Cardiovascular magnetic resonance imaging and transthoracic echocardiography in the assessment of stenotic aortic valve area: a comparative study. Acta Radiol. 2012;53(9):995–1003.

    PubMed  Article  Google Scholar 

  15. 15.

    Eichenberger AC, Jenni R, Von Schulthess GK. Aortic Valve Pressure Gradients in Patients with Aortic Valve Stenosis. Am J Radiol. 1993;160:971–7.

    CAS  Google Scholar 

  16. 16.

    Friedrich MG, Schulz-Menger J, Poetsch T, Pilz B, Uhlich F, Dietz R. Quantification of valvular aortic stenosis by magnetic resonance imaging. Am Heart J. 2002;144(2):329–34.

    PubMed  Article  Google Scholar 

  17. 17.

    Garcia J, Capoulade R, Le Ven F, Gaillard E, Kadem L, Pibarot P, et al. Discrepancies between cardiovascular magnetic resonance and Doppler echocardiography in the measurement of transvalvular gradient in aortic stenosis: the effect of flow vorticity. Journal of cardiovascular magnetic resonance. J Cardiovasc Magnetic Resonance. 2013;15(1):1..

    Article  Google Scholar 

  18. 18.

    John AS, Dill T, Brandt RR, Rau M, Ricken W, Bachmann G, et al. Magnetic resonance to assess the aortic valve area in aortic stenosis. JAC Elsevier Masson SAS. 2003;42(3):519–26.

    Google Scholar 

  19. 19.

    Knobelsdorff-Brenkenhoff von F, Rudolph A, Wassmuth R, Bohl S, Buschmann EE, Abdel-Aty H, et al. Feasibility of cardiovascular magnetic resonance to assess the orifice area of aortic bioprostheses. Circ Cardiovasc Imaging. 2009;2(5):397–404.

    Article  Google Scholar 

  20. 20.

    Kupfahl C. Evaluation of aortic stenosis by cardiovascular magnetic resonance imaging: comparison with established routine clinical techniques. Heart. 2004;90(8):893–901.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  21. 21.

    Levy F, Iacuzio L, Civaia F, Rusek S, Dommerc C, Hugues N, et al. Usefulness of 3-Tesla cardiac magnetic resonance imaging in the assessment of aortic stenosis severity in routine clinical practice. Arch Cardiovasc Dis. 2016;109(11):618–25 Elsevier Masson SAS.

    PubMed  Article  Google Scholar 

  22. 22.

    Malyar NM, Schlosser T, Barkhausen J, Gutersohn A, Buck T, Bartel T, et al. Assessment of aortic valve area in aortic stenosis using Cardiac magnetic resonance tomography: comparison with echocardiography. Cardiology. 2008;109(2):126–34.

    PubMed  Article  Google Scholar 

  23. 23.

    Maragiannis D, Jackson MS, Flores-Arredondo JH, Autry K, Schutt RC, Alvarez PA, et al. Functional Assessment of Bioprosthetic Aortic&nbsp;Valves by CMR. J Am Coll Cardiol Img. 2016;9(7):785–93 Elsevier.

    Article  Google Scholar 

  24. 24.

    Mutnuru PC. Cardiac MR Imaging in the Evaluation of Rheumatic Valvular Heart Diseases. Journal of Clinical and Diagnostic Research.2016;10(3):1–4.

  25. 25.

    O'Brien KR, Gabriel RS, Greiser A, Cowan BR, Young AA, Kerr AJ. Aortic valve stenotic area calculation from phase contrast cardiovascular magnetic resonance: the importance of short echo time. J Cardiovasc Magn Reson. 2009;11(1):49–12..

    PubMed  Article  PubMed Central  Google Scholar 

  26. 26.

    Paelinck BP, Van Herck PL, Rodrigus I, Claeys MJ, Laborde JC, Parizel PM, et al. Comparison of magnetic resonance imaging of aortic valve stenosis and aortic root to multimodality imaging for selection of Transcatheter aortic valve implantation candidates. Am J Cardiol. 2011;108(1):92–8 Elsevier Inc.

    PubMed  Article  Google Scholar 

  27. 27.

    Pouleur A-C, le Polain de Waroux J-B, Pasquet A, Vanoverschelde J-LJ, Gerber BL. Aortic valve area assessment: multidetector CT compared with cine MR imaging and transthoracic and transesophageal echocardiography. Radiology. 2007;244(3):745–54.

    PubMed  Article  Google Scholar 

  28. 28.

    Reant P, Lederlin M, Lafitte S, Serri K, Montaudon M, Corneloup O, et al. Absolute assessment of aortic valve stenosis by planimetry using cardiovascular magnetic resonance imaging: comparison with transœsophageal echocardiography, transthoracic echocardiography, and cardiac catheterisation. Eur J Radiol. 2006;59(2):276–83.

    PubMed  Article  Google Scholar 

  29. 29.

    Speiser U, Quick S, Haas D, Youssef A, Waessnig NK, Ibrahim K, et al. 3-T magnetic resonance for determination of aortic valve area: a comparison to echocardiography. Scand Cardiovasc J. 2014;48(3):176–83.

    PubMed  Article  Google Scholar 

  30. 30.

    Weininger M, Sagmeister F, Herrmann S, Lange V, Schoepf UJ, Beissert M, et al. Hemodynamic assessment of severe aortic stenosis. Investig Radiol. 2011;46(1):1–10.

    Article  Google Scholar 

  31. 31.

    Westermann Y, Geigenmüller A, Elgeti T, Wagner M, Dushe S, Borges AC, et al. Planimetry of the aortic valve orifice area: Comparison of multislice spiral computed tomography and magnetic resonance imaging. Eur J Radiol. 2011;77(3):426–35 Elsevier Ireland Ltd.

    PubMed  Article  Google Scholar 

  32. 32.

    Jabbour A, Ismail TF, Moat N, Gulati A, Roussin I, Alpendurada F, et al. Multimodality imaging in Transcatheter aortic valve implantation and post-procedural aortic regurgitation. JAC. 2011;58(21):2165–73 Elsevier Inc.

    Google Scholar 

  33. 33.

    Achenbach S, Delgado V, Hausleiter J, Schoenhagen P, Min JK, Leipsic JA. SCCT expert consensus document on computed tomography imaging before transcatheter aortic valve implantation (TAVI)/transcatheter aortic valve replacement (TAVR). J Cardiovasc Computed Tomography. 2012;6(6):366–80 Mosby, Inc.

    Article  Google Scholar 

  34. 34.

    Chin CWL, Khaw HJ, Luo E, Tan S, White AC, Newby DE, et al. Echocardiography underestimates stroke volume and aortic valve area: implications for patients with small-area low-gradient aortic stenosis. Can J Cardiol. 2014;30(9):1064–72 Canadian Cardiovascular Society.

    PubMed  Article  PubMed Central  Google Scholar 

  35. 35.

    Clavel M-A, Malouf J, Messika-Zeitoun D, Araoz PA, Michelena HI, Enriquez-Sarano M. Aortic valve area calculation in aortic stenosis by CT and Doppler echocardiography. JACC Cardiovasc Imaging. 2015;8(3):248–57.

    PubMed  Article  Google Scholar 

  36. 36.

    Whitener G, Sivak J, Akushevich I, Samad Z, Swaminathan M. Grading aortic stenosis with mean gradient and aortic valve Area_ a comparison between preoperative transthoracic and Precardiopulmonary bypass transesophageal echocardiography. YJCAN. 2016;30(5):1254–9 Elsevier.

    Google Scholar 

  37. 37.

    Bahlmann E, Cramariuc D, Gerdts E, Gohlke-Baerwolf C, Nienaber CA, Eriksen E, et al. Impact of pressure recovery on echocardiographic assessment of asymptomatic aortic stenosis: a SEAS substudy. J Am Coll Cardiol Img. 2010;3(6):555–62.

    Article  Google Scholar 

  38. 38.

    Weininger M, Sagmeister F, Herrmann S, Lange V, Schoepf UJ, Beissert M, et al. Hemodynamic assessment of severe aortic stenosis: MRI evaluation of dynamic changes of vena contracta. Investig Radiol. 2011;46(1):1–10.

    Article  Google Scholar 

  39. 39.

    Blanken CPS, Farag ES, Boekholdt SM, Leiner T, Kluin J, Nederveen AJ, et al. Advanced cardiac MRI techniques for evaluation of left-sided valvular heart disease. J Magn Reson Imaging. 2018;48(2):318–29.

    PubMed  Article  PubMed Central  Google Scholar 

  40. 40.

    Sherif MA, Ince H, Maniuc O, Reiter T, Voelker W, Ertl G, et al. Two-dimensional transesophageal echocardiography for aortic annular sizing in patients undergoing transcatheter aortic valve implantation. BMC Cardiovasc Disord. 2014; 14:1. 2015;15(1):181 BioMed Central.

    Google Scholar 

  41. 41.

    Pontone G, Andreini D, Bartorelli AL, Bertella E, Mushtaq S, Gripari P, et al. Comparison of accuracy of aortic root annulus assessment with Cardiac magnetic resonance versus echocardiography and multidetector computed tomography in patients referred for Transcatheter aortic valve implantation. Am J Cardiol. 2013;112(11):1790–9 Elsevier Inc.

    PubMed  Article  Google Scholar 

  42. 42.

    Azevedo CF, Nigri M, Higuchi ML, Pomerantzeff PM, Spina GS, Sampaio RO, et al. Prognostic significance of myocardial fibrosis quantification by histopathology and magnetic resonance imaging in patients with severe aortic valve disease. JAC. 2010;56(4):278–87 Elsevier Inc.

    Google Scholar 

  43. 43.

    Myerson SG. Heart valve disease: investigation by cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 2012;14(1):1–23.

  44. 44.

    Joziasse IC, Vink A, Cramer MJ, van Oosterhout MFM, van Herwerden LA, Heijmen R, et al. Bicuspid stenotic aortic valves: clinical characteristics and morphological assessment using MRI and echocardiography. Neth Heart J. 2011;19(3):119–25.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  45. 45.

    Lee SC, Ko SM, Song MG, Shin JK, Chee HK, Hwang HK. Morphological assessment of the aortic valve using coronary computed tomography angiography, cardiovascular magnetic resonance, and transthoracic echocardiography: comparison with intraoperative findings. Int J Cardiovasc Imaging. 2012;28(S1):33–44.

    PubMed  Article  Google Scholar 

  46. 46.

    Figtree GA, Lønborg J, JACC SG. Cardiac magnetic resonance imaging for the interventional cardiologist. Interventionsonlinejaccorg; 2011.

    Google Scholar 

  47. 47.

    Sherrah AG, Grieve SM, Jeremy RW, Bannon PG, Vallely MP, Puranik R. MRI in chronic aortic dissection: a systematic review and future directions. Front Cardiovasc Med Frontiers. 2015;2(2):149.

    Google Scholar 

  48. 48.

    Sherrah AG, Callaghan FM, Puranik R, Jeremy RW, Bannon PG, Vallely MP, et al. Multi-Velocity Encoding Four-Dimensional Flow Magnetic Resonance Imaging in the Assessment of Chronic Aortic Dissection. Aorta (Stamford). 2017;5(3):80–90 Thieme Medical Publishers.

    Article  Google Scholar 

  49. 49.

    Kim HK, Gottliebson W, Hor K, Backeljauw P, Gutmark-Little I, Salisbury SR, et al. Cardiovascular anomalies in turner syndrome: Spectrum, prevalence, and Cardiac MRI findings in a pediatric and Young adult population. Am J Roentgenol. 2011;196(2):454–60.

    Article  Google Scholar 

  50. 50.

    Caruthers SD. Practical value of Cardiac magnetic resonance imaging for clinical quantification of aortic valve stenosis: comparison with echocardiography. Circulation. 2003;108(18):2236–43.

    PubMed  Article  Google Scholar 

  51. 51.

    O'Brien KR, Cowan BR, Jain M, Stewart RAH, Kerr AJ, Young AA. MRI phase contrast velocity and flow errors in turbulent stenotic jets. J Magn Reson Imaging. 2008;28(1):210–8.

    PubMed  Article  Google Scholar 

  52. 52.

    Falahatpisheh A, Rickers C, Gabbert D, Heng EL, Stalder A, Kramer H-H, et al. Simplified Bernoulli's method significantly underestimates pulmonary transvalvular pressure drop. J Magn Reson Imaging. 2015;43(6):1313–9.

    PubMed  Article  Google Scholar 

  53. 53.

    Mohiaddin RH, Gatehouse PD, Henien M, Firmin DN. Cine MR fourier velocimetry of blood flow through cardiac valves: comparison with Doppler echocardiography. J Magn Reson Imaging. 1997;7:657–63.

    CAS  PubMed  Article  Google Scholar 

Download references

Acknowledgements

N/a

Funding

Not applicable.

Author information

Affiliations

Authors

Contributions

KW did the literature review, extracted data, analysed data, wrote and prepared the manuscript and all tables and figures. PB and SG were both responsible as research supervisors as well as providing significant input to the design and edits of the manuscript drafts. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Stuart M. Grieve.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Woldendorp, K., Bannon, P.G. & Grieve, S.M. Evaluation of aortic stenosis using cardiovascular magnetic resonance: a systematic review & meta-analysis. J Cardiovasc Magn Reson 22, 45 (2020). https://doi.org/10.1186/s12968-020-00633-z

Download citation

Keywords

  • Cardiovascular magnetic resonance
  • CMR
  • Aortic valve
  • Aortic stenosis
  • Aortic regurgitation
  • Valve dysfunction