Arvin Arani1, Shivaram P. Arunachalam1, Ian CY Chang2, Francis Baffour1, Kevin J Glaser1, Joshua D Trzasko1, Kiaran McGee1, Armando Manduca1, Martha Grogan2, Angela Dispenzieri3,4, Richard L Ehman1, and Philip A Araoz1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States, 3Medicine: Division of Hematology, Mayo Clinic, Rochester, MN, United States, 4Laboratory Medicine and Pathology, Mayo Clinic
Synopsis
Myocardial stiffness plays an important role in cardiac
function. The objective of this study is to evaluate if 3D high frequency
cardiac MR elastography (MRE) can measure increased myocardial
stiffness in cardiac amyloidosis patients compared to healthy volunteers.
Twenty-two patients with cardiac amyloidosis and 16 healthy volunteers were
enrolled. The myocardial stiffness of cardiac amyloid patients (median: 11.4
kPa, min: 9.2, max: 15.7) was found to be significantly stiffer (p < 0.01)
than healthy controls (median: 8.2 kPa, min: 7.2, max: 11.8). These results
motivate future investigation of 3D high frequency cardiac MRE in different
patient cohorts.
Purpose
Myocardial
stiffness plays an important role in cardiac function. Increased stiffness in
the myocardium can cause poor function and restrictive diastolic filling, which
can lead to heart failure symptoms, even with a normal left ventricular (LV)
ejection fraction (1).
Myocardial infarcts can cause abnormal tissue stiffness that can affect
LV wall stress and the pattern of LV remodeling (2). Shear wave elastography is an emerging imaging approach for measuring
myocardial stiffness in vivo (3-10). Recently, a 3D high frequency cardiac MR
elastography (MRE) technique, which has shown a high level of agreement with
dynamic material testing (intra-class correlation coefficient up to 0.99) (11), has been shown to be feasible in normal
volunteers (12). However, the feasibility of 3D high frequency
cardiac MRE has not been evaluated in a patient cohort. Cardiac amyloidosis is an established disease of
myocardial stiffening and this patient group is an excellent candidate for evaluating
if elevated myocardial stiffness can be detected with MRE. The
objective of this study is to evaluate if 3D high frequency cardiac MRE can measure increased myocardial stiffness in
cardiac amyloidosis patients compared to healthy volunteers.Methods
Twenty-two patients with cardiac amyloidosis and 16 healthy
volunteers were enrolled after receiving institutional review board and written
informed consent approval. All subjects underwent cardiac MRI/MRE and
echocardiography with speckle tracking strain imaging Doppler evaluation of diastolic
function. Patients with tissue diagnosis of amyloidosis and left ventricular
maximal wall thickness of greater than 12 mm by echocardiography were
classified as having cardiac amyloidosis.
Cardiac MRE was used
to quantitatively measure myocardial stiffness across the left ventricle of
each subject. The experimental set up is shown in Figure 1. MRE Imaging
was conducted at a vibration frequency of 140Hz using the same procedure as
previously described (12). To establish a noise baseline, the MRE exam was repeated with the
vibrational motion turned off (“no motion” scan) and the
octahedral shear strain signal to noise ratio (OSS-SNR) (13)
was calculated. An MRE exam was considered successful only if
the mean OSS-SNR in the myocardium was at least two standard deviations above
the median OSS-SNR of all no-motion scans (i.e. noise) across all subjects.
Statistical analysis was done using a commercial
software package (OriginPro 2015, OriginLab Corporation, Northampton, MA) that
implemented a Mann-Whitney U test of significance (14). A p-value of less than 0.05 was considered
statistically significant.Results
The group-wise median OSS-SNR for
the “no motion” scans was 0.96 and an OSS-SNR value of 1.17 (two standard
deviations above the median) was used as a quantitative quality factor
threshold to exclude MRE exams with poor image quality (Figure 2). The mean OSS-SNR of 6 patients and 5 volunteers fell below this threshold and thus these
exams were excluded from the study.
The LV myocardial stiffness of the
16 cardiac amyloid patients (median: 11.4 kPa, min: 9.2, max: 15.7), measured
with cardiac MRE, was significantly higher (p < 0.01) than the LV myocardium
of 11 normal healthy volunteers (median: 8.2 kPa, min: 7.2, max: 11.8) (Figure
3). Typical short-axis elastograms from the mid-section of the left ventricle
in a healthy volunteer and an age- and sex-matched amyloidosis patient are
shown in Figure 4A) and 4B), respectively. The MRE stiffness values for each cohort
have been listed at the top of Table 2.
MRI imaging demonstrated that patients with
amyloidosis had significantly thicker diastolic and systolic left ventricular
wall thickness, a greater LVEDVi and LV mass, and lower LVEF than normal
healthy volunteers. Echocardiography
showed that the amyloidosis group had significantly lower e’, increased E/e’
ratio, lower longitudinal and basal strain, and greater left atrial volume
index than the healthy volunteer group. All bSSFP and echocardiography
parameters have been listed in Table 1.Discussion and Conclusions
This
study demonstrates the feasibility of 3D high-frequency cardiac MRE as a
contrast-agent-free diagnostic imaging technique for quantitatively measuring
myocardial stiffness; validated in a cardiac amyloidosis patient cohort. The
myocardial stiffness of cardiac amyloid patients (median: 11.4 kPa, min: 9.2,
max: 15.7) was found to be significantly stiffer (p < 0.01) than healthy
controls (median: 8.2 kPa, min: 7.2, max: 11.8). These results motivate future
investigation of 3D high frequency cardiac MRE in different patient cohorts, in
therapy monitoring studies, and future prognostic evaluation studies where
myocardial stiffness measurements could play a potential role in early disease
diagnosis and therapy monitoring.Acknowledgements
This work was
supported by National Institutes of Health (NIH) grants 5R01HL115144 and EB001981 and the Mayo Clinic Center for Individualized Medicine, Imaging Biomarker
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