Arthur de Lange1, Lejla Alić1, Bennie ten Haken1, and Frank F.J. Simonis1
1TechMed Centre, University of Twente, Enschede, Netherlands
Synopsis
Keywords: Low-Field MRI, New Devices
After sentinel lymph nodes are detected using SPIONs and excised, their characterization
is important to detect possible metastases. In this research a low-field (0.5T)
tabletop MRI scanner was tested for this purpose using 4x accelerated high resolution
3D acquisition. Both simulations and experiments on excised pig lymph nodes
showed promising results, with the accelerated scans showing similar image
quality with respect to fully sampled datasets. This protocol shows lymph nodes
can be imaged at 0.25 mm isotropic resolution within reasonable scan times. Clinical usage
should be proven by scanning true metastatic lymph nodes.
Introduction
Lymph node (LN) metastasis is an important prognostic factor in a
variety of cancer types. A sentinel lymph node biopsy (SLNB) aims to remove the
first draining LN to exclude further metastases. The SLN is found by locating
peritumorally administered tracer. Superparamagnetic iron oxide (SPIO) was
recently suggested as such a tracer enabling diagnostic imaging and
perioperative detection1,2. This study evaluates the feasibility of
analyzing resected LNs directly using a portable low-field MRI scanner.Methods
Resected porcine LNs were injected with 5 µl SPIO tracer (Magtrace,
Endomagnetics Limited, UK) and subsequently placed in a sealed test tube
containing formaldehyde (Figure 1-left). A magspec benchtop system (Pure
Devices, Rimpar, Germany) with an increased bore of 15mm diameter at a field
strength of 0.5T (Figure 1-right) was used for imaging. The magnet was connected
to an external gradient amplifier (DC-600), an RF amplifier (RF-100) and a Low
noise amplifier (LNA).T1 and T2 weighted 3D volumes of
14×14×14 mm³ were acquired using Cartesian sampling with a matrix size of 32×32×32 resulting in an isotropic
resolution of 0.438 mm, see Table 1 for further imaging parameters. Since both
scans took unpractically long, scan times were accelerated by a factor of 4 by
simulating an a variable density 2D
Poisson disc acquisition pattern3 followed by Compressed
Sense (CS) reconstruction4. Subsequently, the undersampling pattern was
actually implemented on the portable scanner with the same FOV and a 56×56×56 matrix to obtain T1-weighted
images at 0.25 mm isotropic resolution. All resulting images were inspected
visually and the structural similarity index (SSIM)5 was calculated
with respect to the fully sampled dataset.Results
Scans of the injected LNs can be seen in Figure 2, in which the SPIO
tracer is clearly visible as a black spot. The images reconstructed after simulated undersampling show similar results as the fully sampled data with almost no visible differences. The SSIM between the
original and undersampled images is 0.9 (T1w) and 0.75 (T2w). Actually acquired T1w accelerated scans in Figure 3 show only slight blurring and a SSIM of 0.88.Discussion
All images show a clear distinction between fat, nodal tissue and SPIO
tracer proving the feasibility of imaging LNs using a portable MRI scanner and imaging
time can be effectively reduced using undersampling combined with CS reconstruction. Clinical input is required to decide the best balance in spatial
resolution and imaging time. Additionally, the protocol needs to be tested on
human LNs with metastases to see with which contrast those can be most
accurately detected.Conclusion
A portable MRI scanner can be used for on-site high resolution imaging
of excised lymph nodes with accelerated acquisition times. Clinical relevance
needs to be proven by comparison of resected nodes with pathology results.Acknowledgements
No acknowledgement found.References
1. R Mahieu et al, New Developments in Imaging for
Sentinel Lymph Node Biopsy in Early-Stage Oral Cavity Squamous Cell Carcinoma, 2020
Cancers 12.10 3055, 2. S Waanders et al, A handheld SPIO-based sentinel lymph
node mapping device using differential magnetometry, 2016 Phys. Med. Biol. 61
8120, 3. E Levine et al, “3d Cartesian MRI
with compressed sensing and variable view sharing using complementary
poissondisc sampling, MRM 2017, 77.5, 1774–1785. 4. M Lustig
et al, Sparse MRI: The application of compressed sensing for rapid MR imaging, 2007
MRM 58.6 1182, 5. Z Wang et al, Image quality assessment: from error
visibility to structural similarity, 2004 IEEE transactions on image processing
13.4 600