Dana C Peters1, Daniel Coman1, Peter Herman1, Jennifer M Kwan2, Hanming Zhang2, Raja Chakraborty2, Jeacy Espinoza2, Hyung Chun2, Saejong Park2, and Lauren A Baldassarre2
1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Cardiovascular Medicine, Yale University, New Haven, CT, United States
Synopsis
Keywords: Inflammation, Contrast Mechanisms
Tools were developed to evaluate mice models of myocarditis with cardiac
MRI. Cine imaging with self-gating, T
2
mapping using ECG-gated multi-spin echo acquisition, and pre- and post-contrast
injection T
1 mapping were employed. In twelve
mice, including 4 mice models of myocarditis, normal T
2 values were 19ms±2ms at
11.7T, and regions of higher T
2 (25±2ms) were observed in some myocarditis
mice. T
1 mapping showed reduced T1 after injection of gadolinium, and regions
of lower T
1 in myocarditis vs. normal regions.
These tools will be useful in improved characterization of myocarditis
in mice.
Introduction
Cardiac MRI is valuable in providing structural and functional
information regarding the heart, including cine for evaluating volumes and mass
as well as tissue characterization with T1 and T2 weighted imaging.
More recent quantitative techniques with T2 mapping for inflammation assessment
and T1 mapping for post-contrast measurement of fibrosis and
necrosis have shown increased sensitivity. We sought to implement these mapping
tools in mice due to their importance in monitoring models of myocarditis. Here we apply these technical methods to study
a myocarditis mouse model and compare it to healthy controls.Methods
Twelve mice were imaged
including 4 mice with myocarditis. The myocarditis model was an endothelial specific extracellular-signal-regulated
kinase 5
(ERK5) knockout (KO),
generated by crossing ERK5 flox/flox (f/f) mice with mice expressing inducible
Cre recombinase under the Cdh5 promote. These mice develop
spontaneous myocarditis (manuscript in preparation). Control mice are ERK5 f/f
without the inducible Cre recombinase. ERK5 deletion was induced by injecting
10-week-old mice with 1mg/day of tamoxifen for 5 consecutive days and knockout
was confirmed by genotyping. Control mice also received tamoxifen for the same
number of days.
Three of the myocarditis mice only had partial MR exams,
due to their extensive disease.
All imaging was performed on a 11.7T Bruker
scanner (Paravision 6.0), using a 4cm volume coil, with mice positioned supine
in a customized 3D-printed cradle. We
monitored ECG and respiration using Small Animal Instruments (SAI) modules
throughout the experiments. ECG
electrodes were taped on the right front paw and left hind paw. Respiration was
monitored using a pressure sensor pillow placed under the mouse. The
temperature of the animal was maintained with temperature-controlled air blown
into the bore. The imaging protocol consisted of localizers, self-gated cine
imaging, ECG-gated T2-mapping and self-gated pre and post-contrast T1
mapping. Gadolinium contrast agent
(Gadavist) was injected using a intraperitoneal catheter (1), using 20uL and a
saline flush (a dose of 0.3 to 0.5 mmol/kg in these ~20-30g mice), followed by
a 20 minute wait period before post-contrast imaging. Intraperitoneal injection
in mice is common since i.v. mouse tail injections are challenging even for
experts. Cine imaging was
obtained using the product Intragate (self-gating) sequence (2) with scan parameters
defined in Table 1. T2-mapping
was performed using an ecg-gated multiple spin-echo sequence and 4TEs, as
presented in Table 1 (using SAI monitor, begin delay ~80ms, acquisition window
20ms per RR). A single phase-encode was
acquired in each RR in diastole, and 2000ms of recovery between echo-trains was
employed. The multiple TE signals were fit to a single exponential decay, using
least squares minimization, in Matlab. T1 mapping was performed using
the method of Coolen et al (3), which advocates 3D
GRE continuous imaging, with self-gating to generate a few cardiac-resolved
bins, acquired at variable flip angles (VFA) for T1 estimation. The variable flip angle signals were fit to a
model of gradient echo spoiled steady state signal vs. flip angle, using
least-squares minimization, using customized software in Matlab. B1-mapping was performed in some studies,
showing <10% error in B1, which was considered acceptable, so flip angle correction
was not performed.Results
Figure 1 displays the cine data from a control and
myocarditis model, at systole and diastole, showing excellent quality. Figure 2 presents the variable flip angle T1
mapping method, including the flip angle vs. T1 dependence at a TR of 10ms (A), examples of raw images
(Figure 1B), and processed T1-maps (Figure 1C), which were able to provide
estimates of pre-contrast myocardial , and post-contrast T1 values (shown in
Figure 2 from a control mouse). Figure
3 presents raw T2W images and T2-maps from a control mouse. Figure 4 presents
maps from a myocarditis model, showing possible regional of inflammation and
necrosis, as evidenced by the region of increased T2 (Figure 4A,B) and reduced
T1 post-contrast (arrows) (4e). Figure 4E-F
compares average T2 and post-contrast T1 data from controls and to values in myocarditis
mice (using ROIs). Regions of injury exhibited expected differences from
regions in normal mice, but these must be confirmed using more objective ROI
placement. Discussion
Our T2 data for controls matched prior measurements at 11.7T which reported T2 mapping values of 19ms
at 11.7T (4), and was in the range
of other reports (25ms at
7T (5), and
21ms at 9.4T (6)). The
T2 maps would benefit from motion correction algorithms used in standard
T2-mapping (“moco”). Our T1 values for myocardium were very similar to a recent
11.7T report, which noted that T1 values measured in systole were about 1400ms (7)—while another report
noted native myocardial T1s of 1600ms at 9.4T (Coolen et al). The T1 mapping requires further improvements
to establish its robustness, and cannot accurately measure pre-contrast blood
T1. However, together these techniques
will provide valuable insight into myocarditis, which will greatly benefit from
investigation with preclinical cardiac MRI.Acknowledgements
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