Shivaram Poigai Arunachalam1, Arvin Arani1, Ian Chang2, Yi Sui1, Phillip Rossman1, Kevin Glaser1, Joshua Trzasko1, Kiaran McGee1, Armando Manduca3, Barry Borlaug2, Richard Ehman1, and Philip Araoz1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Cardiovascular Diseases, Mayo Clinic, 3Biomedical Engineering and Physiology, Mayo Clinic
Synopsis
Increased myocardial stiffness in patients with heart
failure with preserved ejection fraction (HFpEF) is known to affect diastolic
filling. The purpose of this work was to determine if 3D high frequency cardiac MR elastography (MRE) can quantitatively
differentiate increased myocardial stiffness in HFpEF patients compared to
healthy volunteers. Two patients with clinical diagnosis for HFpEF and 47
healthy volunteers were studied. The myocardial stiffness of HFpEF patients
(mean: 10.57 kPa) was found to be significantly stiffer (p < 0.05) than
healthy controls (mean: 7.79 kPa). Recruitment of more HFpEF patients is
underway for further validation of this finding.
Purpose
Myocardial stiffness is a novel
biomarker that plays a significant role in the LV pump function (1). In patients with heart failure with preserved
ejection fraction (HFpEF) the increased myocardial stiffness impairs diastolic
filling leading to heart failure symptoms (2). HFpEF accounts for about 50% of
incident heart failure cases (3) with a miserable 30% one year mortality (4),
and increases the health care burden overall with poor prognosis and diagnosis
metrics for HFpEF (5). Currently, the clinical
criteria for HFpEF diagnosis rely on a complex invasive catheterization procedure
which is not a robust and a quantifiable metric for accurate clinical decision making
(6). Magnetic Resonance Elastography (MRE) is a non-invasive phase contrast
based imaging technique that can measure tissue stiffness in-vivo (7).
Currently 3D MRE is becoming increasingly common and our recent work
demonstrated a high level of agreement with dynamic material testing
(intra-class correlation coefficient up to 0.99) (8). 3D high frequency cardiac MRE at 140 Hz was recently
shown to be feasible in normal volunteers to measure in-vivo myocardial stiffness (9). The purpose of this work was to determine if
3D high frequency cardiac MRE can quantitatively
differentiate increased myocardial stiffness in HFpEF patients compared to
healthy volunteers.Methods
Two patients (ages 65 and 79, both females) with clinical
diagnosis for HFpEF and 47 healthy volunteers (Male = 20; Female = 27) between
ages 18-35 were enrolled with institutional review board (IRB) approval and informed
consent was obtained from all the participants. Cardiac MRE was performed at 140 Hz vibration frequency as
previously described (12). The MRE exam also included a
“no-motion” scan with the vibration amplitude set to zero in order to establish a baseline reference for noise to differentiate scans with
motion. Shear wave quality was assessed by calculating the octahedral
shear strain signal to noise ratio (OSS-SNR) (10)
. A noise threshold was established at two standard deviations above the
mean OSS-SNR of all no-motion scans across all participants. A successful MRE exam is expected to have mean OSS-SNR in
the included myocardial volume greater than this threshold. The left ventricle (LV) was segmented using Cir 42 clinical
software (Cardiovascular Imaging, Calgary, Alberta) to
quantify left ventricular myocardial stiffness. MRE stiffness was obtained by
applying curl to the 3D displacement field and performing 3D Local Frequency
Estimation (LFE) (11). MRE shear stiffness is reported as the mean stiffness in
the segmented LV volume.
OriginPro 2016 software (OriginLab Corporation, Northampton,
MA) was used for statistical analysis and plotting. The Mann-Whitney U test of
significance was used in this study by considering a p-value of less than 0.05 as
statistically significant. Results
A threshold OSS-SNR value of 1.10 (two standard deviations
above the mean of 0.82) was used as a shear wave quality factor to discriminate
noisy MRE exams. All subjects had a mean
OSS-SNR higher than this threshold except for one volunteer
who was excluded from analysis in this study.
Figure 1 shows the MRE images from a 22 year
old healthy volunteer, (A) shows the magnitude image, (B), (C), (D) show the X,
Y and Z-component of the curled images and (E) shows the corresponding
elastogram. Similarly, Figure 2 shows the MRE images from a 65 year old female
HFPEF patient. Figure 3 shows a box plot of MRE shear stiffness between normal
volunteers and the two HFpEF patients. The LV myocardial stiffness of
the two HFpEF patients (mean: 10.57 kPa, was significantly higher (p < 0.05)
than the LV myocardial stiffness of 46 normal healthy volunteers (mean: 7.79
kPa (Figure 3). Discussion and Conclusions
The results from
this study demonstrates the feasibility of 3D high-frequency cardiac MRE to
quantitatively differentiate the increased myocardial stiffness in patients
with HFpEF from normal volunteers. The myocardial stiffness of HFpEF patients (mean
10.57 kPa) was found to be significantly stiffer (p < 0.05) than healthy volunteers
(mean: 7.79 kPa). These results motivate further validation of this finding in
a larger HFpEF patient cohort. Acknowledgements
This work was supported by National Institutes of Health (NIH) grants 5R01HL115144 and EB001981 and Mayo Clinic Department of Radiology internal fundReferences
1. Holmes JW, Borg TK, Covell JW. Structure and mechanics of
healing myocardial infarcts. Annual review of biomedical engineering
2005;7:223-253.
2. Zile MR, Baicu CF, Gaasch WH.
Diastolic heart failure--abnormalities in active relaxation and passive
stiffness of the left ventricle. The New England journal of medicine
2004;350(19):1953-1959.
3. Go, A.S., et al., Executive summary:
heart disease and stroke statistics--2014 update: a report from the American
Heart Association. Circulation, 2014. 129(3): p. 399-410.
4. Ferrari, R., et al., Heart failure
with preserved ejection fraction: uncertainties and dilemmas. Eur J Heart Fail,
2015. 17(7): p. 665-71.
5. Braunwald, E., Heart failure. JACC
Heart Fail, 2013. 1(1): p. 1-20.
6. Paulus, W.J., et al., How to
diagnose diastolic heart failure: a consensus statement on the diagnosis of
heart failure with normal left ventricular ejection fraction by the Heart
Failure and Echocardiography Associations of the European Society of
Cardiology. Eur Heart J, 2007.
7. Muthupillai, R., Lomas, D.J.,
Rossman, P.J. and Greenleaf, J.F., 1995. Magnetic resonance elastography by
direct visualization of propagating acoustic strain waves. Science, 269(5232),
p.1854.
8. Arunachalam SP, Rossman PJ, Arani A,
Lake DS, Glaser KJ, Trzasko JD, Manduca A, McGee KP, Ehman RL, Araoz PA.
Quantitative 3D magnetic resonance elastography: Comparison with dynamic
mechanical analysis. Magnetic resonance in medicine : official journal of the
Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in
Medicine 2016.
9. Arani A, Glaser KL, Arunachalam SP,
Rossman PJ, Lake DS, Trzasko JD, Manduca A, McGee KP, Ehman RL, Araoz PA. In
vivo, high-frequency three-dimensional cardiac MR elastography: Feasibility in
normal volunteers. Magnetic resonance in medicine : official journal of the
Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in
Medicine 2016.
10. McGarry
MD, Van Houten EE, Perrinez PR, Pattison AJ, Weaver JB, Paulsen KD. An
octahedral shear strain-based measure of SNR for 3D MR elastography. Physics in
medicine and biology 2011;56(13):N153-164.
11. Manduca A, Muthupillai, R., Rossman, P.
J., Greenleaf, J. F., & Ehman, R. L. . Local wavelength estimation for
magnetic resonance elastography. In Image Processing, 1996 Proceedings,
International Conference on 1996;3:527-530.