Devavrat Likhite1, Promporn Suksaranjit2, Ganesh Adluru1, Nan Hu3, Cindy Weng3, Eugene Kholmovski1, Chris McGann2, Brent Wilson2, and Edward DiBella1
1Utah Center for Advanced Imaging Research, Department of Radiology, University of Utah, Salt Lake City, UT, United States, 2Division of Cardiovascular Medicine, University of Utah, Salt Lake City, UT, United States, 3Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
Synopsis
Dynamic contrast enhanced MRI
is maturing as a tool in contemporary cardiovascular medicine. A self-gated
method that avoids the use of ECG-gating signal has been validated by us for
quantitative myocardial perfusion. Our most recent study looks at the inter-study
repeatability of this quantitative self-gated method. Our findings show that
the multi-slice self-gated (near-systole) approach has a comparable or better
repeatability than published ECG-gated single slice studies. The purpose of
this abstract is to summarize these findings from our recent work, highlighting
the simplicity, ease of use and reliability of the self-gated method for
quantitative myocardial perfusion.Background
Developments in cardiovascular MR have made it possible to
rapidly acquire data without the need for ECG gating. Moreover, since data is
acquired rapidly and continuously at a high temporal resolution, it is possible
to bin the acquired data into multiple cardiac phases (self-gating). A previous
study by Likhite et al. reported that myocardial perfusion estimates using a
multi-slice self-gated approach were similar to those using an ECG-gated
acquisition at rest [1]. For application
in longitudinal studies, it is of particular interest to look at the
inter-study repeatability of this self-gated approach. Our recent work in [2]
presents our findings on the inter-study repeatability of self-gated
quantitative myocardial perfusion. This abstract summarizes the results
published in [2].
Methods
Ten subjects (48 ± 12 years, eight males and two females)
were imaged on a Siemens 3T Verio scanner. Subjects were scanned on 2 separate
days using a rest–stress protocol with no ECG gating. The separation between the
two scans was 9.5 ± 4.5 days. The perfusion scans were performed using an
ungated saturation recovery prepared TurboFLASH pulse sequence with golden
angle radial acquisition. The acquisition parameters for the scans were 24 rays
per image, TR = 2.2 msec, TE = 1.2 msec, flip angle = 10°,
resolution = 1.8 × 1.8 × 8 mm3 voxels. Four short-axis (SA) slices
were acquired after a single saturation pulse with a saturation recovery time
of ∼25 msec before the first slice. Gadoteridol 0.05 mmol/kg at a rate of 5 mL/sec was
injected and ∼240
frames were acquired over a minute with shallow breathing and no ECG gating.
This was followed 20 ± 5 minutes later by an injection
of regadenoson to induce hyperemia. Contrast was injected ∼70 sec after regadenoson injection to ensure maximal stress and
the scan protocol was repeated to acquire four slices at stress. Slices were
acquired from base to apex. The images were self-gated (binned) into near
systolic and near diastolic cardiac phases followed by deformable registration,
similar to the methods in [2]. Figure 1
shows example images from scan 1 and scan 2 for 4 subjects.
The use of self-gating along with deformable registration
gave near-systole and near-diastole datasets from a single scan. These two
datasets were processed individually to quantify MBF at near-systole and
near-diastole. The processing steps involved segmentation of the myocardium
followed by the extraction of the arterial input function (AIF) and the tissue
curves. The most basal diastolic slice, which had the smallest saturation
recovery time, was used to obtain the AIF. The myocardium was segmented into 6
circumferential regions in the remaining three slices to obtain the tissue
curves. The AIF and the tissue curves were converted to gadolinium
concentration to correct for any signal saturation. Fermi-constrained
deconvolution was used to estimate the myocardial blood flow (MBF). The
myocardial perfusion reserve (MPR) was calculated as the ratio of the stress
and rest MBF for each region.
A total of 180 segmental MBF and MPR values were obtained
from each of the self-gated rest (near-systole), self-gated rest
(near-diastole), self-gated stress (near-systole), and self-gated stress
(near-diastole) at each visit. The interstudy reproducibility was represented
by the coefficient of variation (CoV), calculated as the standard deviation of
the within-subject difference between the two scans relative to the mean of the
two scans and expressed as a percent. Bland–Altman analysis was performed to
assess the agreement between studies using the technique for data with repeated
measures
Results and conclusion
Figure 2 shows a Bland Altman plot comparing the MBF
estimates between scan 1 and scan 2 at rest and stress using the self-gated near-systole
dataset. Figure 3 shows a comparison of global MPR values between scan 1 and
scan 2 for self-gated near systole and self-gated near-diastole. A CoV of
18.6%, indicating good interstudy repeatability, was obtained for territorial
MPR estimates using the self-gated near-systole dataset. Less good interstudy
repeatability of CoV = 46.2% was seen for the territorial MPR estimates from
self-gated near-diastole data. Table 1 compares the results to previously
published results on repeatability of quantitative myocardial perfusion [3-5]. All of the studies in table 1 made use of
ECG-gated, breath-held acquisition. Three of the four studies reported results
in a single mid-ventricular slice. The current study was free-breathing and
self-gated and quantified perfusion in three slices.
While the self-gated
diastole gave a larger CoV compared to self-gated systole due in part to more
challenging registration, the repeatability of the multi-slice self-gated
systole CMR was similar or better than published ECG-gated studies [3-5].
Acknowledgements
No acknowledgement found.References
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