Thorsten Honroth1, Suzan Vreemann2, Marco Vicari1, Hendrik Laue1, Ritse Mann2, and Matthias Günther1,3,4
1Fraunhofer MEVIS, Bremen, Germany, 2Radboud University Medical Center, Nijmegen, Netherlands, 3University of Bremen, Bremen, Germany, 4mediri GmbH, Heidelberg, Germany
Synopsis
A single-shot 3D arterial spin labeling (ASL) sequence
has been developed and optimized for breast cancer imaging. In a case study, its
ability to measure the perfusion of a tumor without contrast agents is
demonstrated. The resulting ASL perfusion-weighted image of the tumor shows high
correspondence with the subtraction image of the contrast-enhanced measurement.Purpose
MRI is of high importance in breast cancer imaging. Contrast-enhanced
(CE) measurements can reveal the tumor perfusion and thus serve to classify and characterize lesions. However,
especially in screening situations, repetitive administration of contrast
agents should be avoided if possible1.
Arterial Spin Labeling (ASL) is an established technique for measuring perfusion without
contrast agents in the brain2, but in other organs, ASL remains challenging.
Only few groups have shown the feasibility of Arterial Spin Labeling (ASL) in
the breast3-8 using either 2D single-slice or multi-slice imaging.
In this breast cancer case study, we present a fast
3D single-shot ASL sequence that is designed to provide high SNR and to cover a
large volume within reasonable acquisition time.
Methods
The patient measurements for this case study have been performed at the
Department of Radiology of Radboud University Medical Center, Nijmegen,
Netherlands, on a Siemens Magnetom Skyra 3T system (Siemens Healthcare,
Erlangen).
The pulsed ASL sequence (PASL) uses a FAIR9 labeling
with a 3D-GRASE readout10. In an almost coronal orientation we acquire a
volume with a 96x48x8 matrix and a voxel size of 3.6x3.6x4mm3 in single-shot
mode. 80 label and control pairs are acquired within 7:36 min. A relatively
long inflow time of TI=2000ms has been chosen to measure the tumor enhancement.
Perfusion is not quantified but instead, the sequence is used to qualitatively specify
lesions. Background suppression with 4 adiabatic inversion pulses11 has been
optimized to minimize artifacts related to signal from fat and static tissue.
The slice-selective inversion volume of the FAIR
labeling was chosen to be identical with the imaging volume, which means that
only blood outside the imaging volume is labeled. Therefore, this volume needs
to be positioned very carefully in order to label all inflowing blood (Fig.2).
By keeping a small gap between chest wall and breast we ensure that blood is
labeled in all feeding vessels.
Each image was acquired in single-shot mode, which
makes the sequence robust against motion. Still, motion can also occur between
label and control image as well as between different repetitions. Therefore, we
manually excluded affected label and control pairs from the evaluation but we did
not correct for between-repetition movement as the latter does not affect
measured data significantly. Finally, the individual measurements were averaged.
Results
The examined patient has a cystic carcinoma with a
diameter of 3 cm in the right breast (Fig.1). The tumor tissue around the cystic
part of the tumor is highly perfused as the CE subtraction images show.
12 label and control pairs of the ASL data have been
corrupted by motion and removed manually before averaging.
In Fig.3 the CE image has been reformatted to
match the ASL slices. For the tumor perfusion, the ASL perfusion-weighted image
corresponds well to the CE image. When the ASL perfusion weighted image is
reformatted to the CE image (Fig.4), the correspondence becomes even more
obvious.
Discussion
Using our approach it is possible to obtain perfusion
images of breast lesions without contrast agent. However, a major drawback of
the demonstrated sequence is that the tumor position must be known before
scanning as the thickness of the volume does not offer full-breast coverage. A
thicker volume could be acquired using multiple segments but also the FAIR
labeling would hamper a complete imaging of the breast.
Furthermore, spatial resolution and SNR are inferior
to CE sequences and might hide smaller lesions. In addition, vessels
perpendicular to the slice orientation also appear bright in the subtraction
images and thus might lead to false positive findings.
Finally, by applying this method to more subjects,
parameters like the necessary number of measurements and the optimal inflow
time (TI) must be optimized further.
Conclusion
We demonstrated a fast 3D ASL single-shot sequence
which provides perfusion-weighted images of the tumor that show high correspondence
with the CE subtraction image, but further
optimization is required to make the technique clinically viable.
Acknowledgements
The
research leading to these results has received funding from the European
Union’s Seventh Framework Programme FP7 under grant agreement no’s 306088 and
601040.References
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