Nan Wang1,2, Yibin Xie1, Lixia Wang1,3, Sen Ma1,2, Stephen L. Shiao4, Anthony G. Christodoulou1, and Debiao Li1,2
1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Beijing Chaoyang Hospital, Beijing, China, 4Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States
Synopsis
DCE MRI is a well-accepted tool in the management of breast cancer, but continues to face technical challenges and concerns regarding gadolinium deposition. In this work, we proposed a novel Multitasking DCE technique, which enables adequate breast coverage, 0.9-mm isotropic spatial resolution, 1.5-s temporal resolution, dynamic T1 mapping throughout all DCE phases, and reduced dose of 0.02mmol/kg for the imaging of breast cancer. The in vivo studies demonstrated that the low-dose Multitasking DCE showed equivalent tumor delineation compared to standard DCE. The quantitative DCE parameters were repeatable in vivo and significantly different between normal breast and breast cancer.
Introduction
Dynamic
contrast-enhanced (DCE) MRI is a well-accepted MRI technique in the management
of breast cancer, known for its superior sensitivity1-4. However, conventional DCE methods continue to face
technical challenges. One major obstacle is the difficulty in achieving
adequate coverage, high spatial resolution and high temporal resolution at the
same time5. Clinical DCE protocols usually adopt 1-millimeter
spatial resolution for sufficient anatomical delineation with poor temporal
resolution (60s to 90s per phase), which obscures the kinetic information and
limits the ability to quantify the functional characteristics of cancer.
Another concern for DCE MRI is the risk of Gadolinium (Gd) retention in human
body such as brain, bone, and kidneys, as recently reported6-9. Quantitative DCE has the capability to evaluate tissue
microvascular features and may have the potential to reduce Gd dose while
maintaining tissue conspicuity. In this work, we proposed a novel DCE MRI
technique based on the MR Multitasking framework10, which enables adequate
breast coverage, 0.9-mm isotropic spatial resolution, 1.5-s temporal
resolution, and dynamic T1 mapping
throughout all DCE phases for accurate quantification of tissue vascularity
properties. The feasibility of using this method with a reduced dose
of 0.02mmol/kg (20% of the standard dose) was tested on volunteers and patients. Methods
Sequence design: A continuous-acquisition pulse sequence
with water-excited 3D FLASH readouts in between periodic saturation recovery (SR)
preparations was used to generate T1 contrast, as described in our previous
work11. A 3D Cartesian sampling pattern was
designed with randomized Gaussian-density reordering in both phase and
partition encoding directions to collect imaging data. The center k-space line
was collected in anterior-posterior direction every 8 readouts as training
data.
Reconstruction: The 5D image $$$I(x,y,z,\tau,t)$$$ was presented as a three-way
tensor $$$\mathcal{A}$$$ with voxel location index $$$\mathbf{r}=(x,y,z)$$$, an SR
dimension $$$\tau$$$, and a DCE time
course $$$t$$$. High image
correlation along and across dimensions induces $$$\mathcal{A}$$$ to be low-rank, which can be factorized as $$$\mathbf{A}_{(1)}=\mathbf{U}\mathbf{\Phi}$$$, where $$$\mathbf{A}_{(1)}$$$ is the unfolded
matrix form of the tensor. The factor $$$\mathbf{\Phi}$$$ containing temporal bases describing T1
relaxation and contrast dynamics is first determined by Bloch-constrained low-rank
tensor completion of the training data. The spatial coefficient $$$\mathbf{U}$$$ is then recovered by fitting $$$\mathbf{\Phi}$$$ to the acquired imaging data $$$\mathbf{d}$$$:$$\widehat{\mathbf{U}}=\arg\min_{\mathbf{U}}\|\mathbf{d}-\Omega(\mathbf{F}\mathbf{S}\mathbf{U}\mathbf{\Phi})\|_{2}^{2}+R(\mathbf{U}),$$with undersampling operator $$$\Omega$$$, Fourier transform $$$\mathbf{F}$$$, coil sensitivity operator
$$$\mathbf{S}$$$, and regularization
function $$$R(\cdot)$$$ (in this work, a spatial total-variation
sparsity penalty).
Dynamic T1
quantification and kinetic modeling:
The T1 for each SR period was estimated from the signal model:$$s\left(A,\alpha,B,n,T_{1}(t)\right)=A\frac{1-e^{-T_{R}/T_{1}(t)}}{1-e^{-T_{R}/T_{1}(t)}\cos\alpha}\left[1+(B-1)\left(e^{-T_{R}/T_{1}(t)}\cos\alpha\right)^{n}\right]\sin\alpha,$$with
DCE
time point $$$t$$$, amplitude $$$A$$$, SR pulse efficiency $$$B$$$, and recovery time point $$$n=1,2,...,N$$$ ($$$N$$$=276 per SR period). The dynamic T1 $$$R_{1}(t)$$$ was then converted to contrast agent
(CA) concentration according to relaxivity:$$C_{\mathrm{t}}(t)=\frac{1/T_{1}(t)-1/T_{1}(0)}{\gamma},$$where $$$\gamma$$$ is the relaxivity
rate. The
two-compartment extended Tofts model was used to evaluate the kinetic
properties12.
Imaging
experiment: All the
data were acquired on a 3T scanner (VIDA, Siemens) in transversal orientation
with the following parameters: TE/TR=2.4/5.2ms, FOV=350x250x176mm3,
spatial
resolution=0.9mm isotropic, temporal resolution=1.5s, flip angle=5°, scan
time=13.5min. Gd contrast media (Gadavist, 0.02mmol/kg, 5-time
dilute) was administered at the rate of 2.0ml/s. For clinical DCE, FOV=350x350x200mm3,
spatial resolution=0.9mm isotropic, temporal resolution=82s, scan time=10.5min, and Gd contrast media is Gadavist at 0.1mmol/kg.
Volunteer
study: Female
volunteers (N = 15) without a history of breast disease were recruited as the control
group. Seven volunteers underwent two low-dose Multitasking DCE scans in the
same imaging session to evaluate repeatability. The other eight volunteers underwent
one low-dose and one standard-dose (0.1mmol/kg) Multitasking DCE scan to assess
correlation of the kinetic parameters estimated by low-dose and standard-dose
Multitasking DCE.
Patient
study: Patients (N = 6)
were recruited with pathologically-confirmed triple-negative breast cancer
(TNBC). All patients were scanned with low-dose Multitasking
DCE followed by standard-dose clinical DCE. The diagnostic results
from low-dose Multitasking DCE were evaluated and compared to the output of clinical
images. Results and Discussion
Figure 1
illustrates the conversion from signal intensity to contrast concentration
using dynamic T1 quantification. Low-dose Multitasking DCE provides
equivalent tumor delineation compared to standard-dose clinical DCE, as shown
in Figure 2A. The enhancement pattern and kinetic parameters of cancer estimated
by Multitasking DCE are also displayed in Figure 2. The repeatability of vp,
Ktrans, ve and Kep from low-dose
Multitasking DCE are shown in Figure 3, with ICCs of 0.98 0.99, 0.94, 0.95, respectively.
Figure 4 shows the correlation for each parameter between low-dose and standard-dose
Multitasking DCE with R2=0.52, 0.86, 0.79, 0.94, respectively. Table
1 lists mean value and standard deviation of the kinetic parameters of normal
breast and breast cancer. The P value by one-way ANOVA indicates that vp, Ktrans, ve and Kep were
significantly different in breast cancer and normal breast (P <0.001,
=0.005, 0.042, 0.046, respectively).Conclusion
In
this work, the feasibility of Multitasking DCE using 20% of a standard Gd dose for
characterizing breast cancer was demonstrated, with equivalent tumor
delineation compared to standard-dose clinical DCE. Adequate breast coverage, 0.9-mm
isotropic spatial resolution, 1.5-s temporal resolution, and dynamic T1 mapping
throughout all DCE phases were achieved. The quantitative DCE parameters were
repeatable in vivo and significantly different between normal
breast and breast cancer. Further clinical
validation in a larger patient cohort is warranted.Acknowledgements
This
work was supported by NIH 1R01EB028146.References
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