Shivaram Poigai Arunachalam1, Arvin Arani1, Ian Chang2, Yi Sui1, Phillip Rossman1, Kevin Glaser1, Joshua Trzasko1, Kiaran McGee1, Armando Manduca3, Richard Ehman1, and Philip Araoz1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States, 3Biomedical Engineering and Physiology, Mayo Clinic, Rochester, MN, United States
Synopsis
Myocardial stiffness is a novel biomarker for diagnosing a variety
of cardiac diseases. Our recent work demonstrated the feasibility of measuring
in-vivo myocardial stiffness using 3D high frequency cardiac MR elastography (MRE) in normal volunteers
using octahedral signal-to-noise ratio (OSS-SNR) as a shear wave quality
metric. The purpose of this work is to determine whether scanning subjects in
prone position can improve the OSS-SNR compared to supine position. 47 healthy
volunteers were enrolled and OSS-SNR in prone position (mean: 1.98) was
significantly higher (p < 0.01) than the OSS-SNR in supine position (mean: 1.52)
with comparable mean stiffness.
Purpose
Left ventricular (LV) pump
function can be impaired with abnormal increase in myocardial stiffness which
can lead to a variety of cardiac diseases (1, 2). The feasibility of a 3D high frequency cardiac MRE technique at 140 Hz to measure in-vivo myocardial stiffness with
adequate octahedral signal-to-noise ratio (OSS-SNR) was recently demonstrated (3). A high level of agreement of 3D MRE
derived stiffness with dynamic material testing (intra-class correlation
coefficient up to 0.99) was demonstrated provided sufficient OSS-SNR and
adequate spatial resolution are available (4).However, in a clinical setting, achieving higher
OSS-SNR can be challenging, in particular for cardiac MRE, due to the dynamic
nature of the heart and the influence of other motion noise. The purpose
of this work was to determine whether OSS-SNR can be improved by scanning
subjects in prone position compared to supine for 3D high frequency cardiac MRE in a cohort of healthy volunteers.Methods
Forty seven 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 (3) with subjects in both supine and prone position for this study,
which also included a “no-motion” scan
for noise discrimination. Shear wave quality in
prone and supine position was assessed by calculating the octahedral
shear strain signal to noise ratio (OSS-SNR) (5). A threshold value for OSS-SNR was established for this study to ensure
adequate signal for stiffness estimation to be two standard deviations from the
mean OSS-SNR value of the “no-motion” scans. MRE
stiffness was obtained by applying curl to the 3D displacement field and performing
3D Local Frequency Estimation (LFE) (6) on the segmented LV. Results
With
a mean “no-motion” OSS-SNR of 0.82 an approximate
threshold of 1.1 was estimated to discriminate noisy scans, which resulted in only
one excluded exam. Figure 1 shows the MRE images from a 26 year old male healthy
volunteer in supine position and Figure 2 shows the images from the same
volunteer in prone position. Figure 3 shows that the mean OSS-SNR is
significantly higher (p<0.01) in normal volunteers in prone (mean: 1.98) than
supine (mean: 1.52) position. Figure 4 shows the MRE shear stiffness in normal
volunteers in supine (mean: 7.79 kpa) and prone position (mean: 7.70 kPa). Figure 5 shows that the mean OSS-SNR for males in prone position (mean: 2.07) is slightly
higher than for females (mean: 1.91). Discussion and Conclusions
The results from
this study demonstrate that cardiac MRE scans in prone position yield higher
OSS-SNR, which is important for reliable stiffness estimation. These
results motivate further validation of this finding as a promising approach for
clinical cardiac MRE scans in the future.Acknowledgements
This work
was supported by National Institutes of Health (NIH) grants 5R01HL115144 and EB001981 and Mayo Clinic Department of Radiology internal funding.References
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