Shivaram Poigai Arunachalam1, Arvin Arani1, Francis Baffour1, Joseph Rysavy2, Phillip Rossman1, David Lake3, Kevin Glaser1, Joshua Trzasko1, Armando Manduca3, Kiaran McGee1, Richard Ehman1, and Philip Araoz1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Surgery, Mayo Clinic, Rochester, MN, United States, 3Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
Synopsis
Myocardial stiffness is a novel biomarker with both
diagnostic and prognostic potential for a range of cardiac diseases such as
myocardial infarction which is known to significantly increase stiffness. Magnetic Resonance Elastography (MRE) is
a non-invasive imaging technique that
can be applied to the heart for in-vivo
myocardial tissue characterization. The purpose of this pilot study was to assess the
feasibility of measuring in-vivo
stiffness changes in infarcted tissue and compare with remote (i.e.
non-infarcted) myocardium in the same pig using 3D MRE. Results indicate a 3-fold increase in
stiffness of the infarct compared to the normal myocardium. Purpose
Myocardial
stiffness is a novel biomarker with both diagnostic and prognostic potential in
a range of cardiac diseases (1). An
immediate application is to quantitate myocardial stiffness in ischemia, of
which myocardial infarction is known to significantly increase stiffness (2). Application of a non-invasive imaging technique called Magnetic Resonance
Elastography (MRE) to the heart enables measurement of myocardial stiffness in vivo (3). The potential of this technique to assess
regional myocardial stiffness has not been demonstrated thus far. The purpose
of this pilot study was to assess the feasibility of measuring in-vivo stiffness changes in infarcted
tissue and compare with remote (i.e. non-infarcted) myocardium in the same pig
using 3D MRE.
Methods
Baseline MRE scan was first performed
at 150 Hz in a normal pig. Next, an
infarct was induced via a carotid artery cut down, coronary angiograms were
done and the left circumflex artery was selected and embolized with ceramic
microspheres. The animal was then allowed to recover and a follow up MRE study was
performed after 14 days. A custom made passive
driver was placed on the chest and the pig was imaged in the prone position to
maximize shear wave penetration into the heart. Imaging was performed on a 1.5 Tesla whole
body MR imager (Signa Excite; GE Healthcare, Milwaukee, WI, USA) with a 4-channel coil in the oblique plane using a modified ECG-gated spin-echo echo planar imaging sequence at 150 Hz vibration
frequency with 5 breath holds of approximately 25 seconds each, depending on
the heart rate. A diastolic short-axis acquisition
was performed prescribing three time delays that corresponded to the first 3
phases of early diastole observed from a FIESTA cine scan. The following
acquisition parameters were used: 1 shot, NEX = 1; TR/TE = 4600/52ms; FOV = 28.8
cm; 96x96 image matrix; 11 continuous 3 mm thick slices with 0 mm spacing,
isotropic acquisition; 2 motion-encoding gradient (MEG) pairs; x, y, and z motion-encoding
directions; ASSET= 2, and 4 phase
offsets spaced evenly over one vibration period. Delayed enhancement (DE) imaging
was done 1 minute post injection using 0.2 mmol/kg of gadodiamide
(Omniscan, GE Healthcare, Princeton, NJ) in the same short-axis plane to locate
the infarct on DE short-axis slices.
After MRE, the pig was sacrificed using potassium chloride solution and
the heart was immediately excised and cut into short-axis sections. Using
anatomic landmarks, the short-axis slice with the closest resemblance to the
anatomical MRI/MRE short-axis slice was selected and stained with
2,3,5-triphenyltetrazolium chloride (TTC) to demonstrate the myocardial
infarction. A section of infarcted and remote myocardium (opposite side as
before) was selected to perform uniaxial tensile testing using Bose Electro Force ELF-3200 (Endura-Tech,
Schaumberg, IL) machine to demonstrate the difference in ex-vivo stiffness based on the different breaking forces of the
tissue samples. MRE stiffness was obtained by applying curl to the 3D displacement
field, smoothing with a 3x3x3 Romano filter, performing 3D direct inversion,
and smoothing with a 3x3x3 cubic spatial median filter (4). A semi-automatic
random walker segmentation tool was used to segment the left ventricle (5). A
small ROI covering the infarct region based on DE image and a small oval ROI
remote to the infarct region was used to report stiffness of the infarcted and
normal myocardium respectively.
Results
Figure
1 shows the short axis DE image from the baseline MRI images indicating normal
myocardium throughout the left ventricle. Figure 2 shows the magnitude image; X, Y and Z- components of the curled data of
a short axis slice that approximately corresponds to the DE image for the
infarct scan after 14 days. Figure 3 shows
the DE image, TTC stained short axis photograph of the excised heart and the
elastogram indicating the infarct region. The mean stiffness of the infarcted
myocardium was 5.3 kPa and 1.8 kPa for normal myocardium. Figure 4 shows the
uniaxial testing setup of the infarct sample. Uniaxial tensile testing
demonstrated a maximum force of 7.8 N and 1.8 N for the infarcted and normal tissues.
The results indicate that MRE showed a 3-fold increase in stiffness for the
infarct compared to the normal myocardium, which also correlated with the
uniaxial mechanical testing.
Discussion
This
study demonstrates that MRE measured a 3 fold increase in stiffness in infarcted
myocardial tissue at 150 Hz, which agrees with the ~3 fold increase in breaking
force measured with mechanical testing ex-vivo.
Conclusions
The results indicate that 3D MRE can regionally differentiate normal and
infarcted myocardium. Follow up studies
with a larger sample size are underway to further validate these findings.
Acknowledgements
This study was
supported by National Institute of Health (NIH) grant 5R01HL115144 and EB001981. References
1. Elgeti T, Knebel F, Hättasch R, Hamm B, BraunJ,
& Sack I. Shear-wave amplitudes measured with cardiac MR elastography for
diagnosis of diastolic dysfunction. Radiology
2014;, 271(3),
681-687.
2. Holmes JW, Borg TK, Covell JW. Structure and
mechanics of healing myocardial infarcts. Annual review of biomedical
engineering 2005;7:223-253.
3. Kolipaka A, Araoz PA, McGee KP, Manduca A, Ehman
RL. Magnetic resonance elastography as a method for the assessment of effective
myocardial stiffness throughout the cardiac cycle. Magn Reson Med
2010;64:862-870.
4. Murphy MC, Huston J, Jack CR, et al. Measuring
the Characteristic Topography of Brain Stiffness with Magnetic Resonance
Elastography. Barnes GR, ed. PLoS
ONE. 2013;8(12):e81668. doi:10.1371/journal.pone.0081668.
5. Grady L. Random walks for image
segmentation. IEEE Trans Pattern Anal Mach Intell 2006;28(11):1768-1783.