Kavya Sinha1, Christof Karmonik2, Alan B Lumsden1, and Trisha Roy1
1DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, United States, 2Translational Imaging Center, Houston Methodist Research Institute, Houston, TX, United States
Synopsis
Peripheral arterial disease (PAD) has been estimated to reduce
quality of life in approximately 2 million symptomatic Americans, with millions more expected to suffer
PAD-associated impairment. Anatomic characteristics of PAD lesions
influence clinical outcomes, including the success and durability of
endovascular treatments. Current clinical imaging modalities CTA,
fluoroscopy and ultrasound do not depict plaque characterization to
the extent of MRI. In this abstract we show how clinical ultra-high
field protocol can be used for visualization and quantification of
lesion components in peripheral artery disease.
Introduction
Peripheral arterial disease (PAD) is a prevalent condition in the elderly and is associated with high morbidity and mortality. PAD is also one of the most challenging vascular conditions to treat2. Anatomic characteristics of PAD lesions influence clinical outcomes, including the success and durability of endovascular
treatments3. Current clinical imaging modalities are limited to CTA,
fluoroscopy, and ultrasound and are limited in their scope of understanding the lesions and their composition. 3-4 MRI offers many advantages for PAD imaging. It is non-invasive, does not require exogenous contrast agents, and has no associated radiation. Until now,
the poor calcium sensitivity of MRI has been a major barrier to the clinical adoption of MRI for PAD applications. However, with recent advances in ultrashort echo time (UTE) MRI, calcium can now be characterized by high diagnostic accuracy5-8. This technique may even have better accuracy in heavily calcified vessels in comparison to conventional imaging modalities including duplex ultrasound (which suffers from acoustic shadowing), or CTA (which may suffer from calcium blooming). In addition, we have shown that high-resolution ex-vivo UTE
imaging can also identify PAD lesions with hard collagen1,5. These lesions required higher guidewire puncture forces and are at higher risk of endovascular failure. Identifying these lesions in-vivo
pre-operatively may help with patient selection and planning endovascular procedures. The goal of this study was to develop a
clinically feasible MRI method to help physicians plan endovascular peripheral arterial procedures. Our previous work on PAD lesion
characterization techniques showed excellent correlation with histology,
microCT and guidewire puncture force testing. 1 However, these scans were performed on ex-vivo specimens using a 7T MRI scanner, and specimens were scanned with very long acquisition times at high resolution. In this study, we sought to determine the feasibility of translating these ex-vivo MRI techniques into in-vivo methods on a
clinical 7T MRI. We hypothesized that clinical 7T MRI scanners using T1-weighted, T2 weighted and Ultrashort Echo time could characterize popliteal and tibial PAD lesions in vivo.
Methods
Seven
patients and one cadaver with CLI underwent amputation, (1 below-knee
amputation and 6 above the knee amputations). Proof-of-concept images in a healthy volunteer were acquired as well using the same MRI protocol as for the amputated limbs. All images were acquired at the FDA-approved
clinical 7T MAGNETOM Terra MRI scanner (Siemens Healthineers, Erlangen,
Germany) with the 1Tx28Rx clinical knee coil. The duration of MRI
examination was less than one hour which is considered tolerable in a
clinical setting. The MRI protocol consisted of the following sequences:
UTE (FOV: 150 mm, phase FOV 100 %, in-plane resolution 0.2x0.2 mm,
slice thickness: 0.22 mm, TR 10 ms, TE 0.07 ms, FA 4, fat saturation,
matrix 688x688x688, radial views 60,000, advanced shimming), T1-weighted
(flash, FOV 160 mm, phase FOV 87.6 %, in-plane resolution 0.2x0.2 mm,
slice thickness 0.2 mm, TR 9.5 ms, TE 4.09 ms, FA 7, GRAPPA 2, phase
encode direction A>>P, 512 slices, water excitation), and
T2-weighted (dess, FOV 160 mm, phase FOV 87.5 %, slice thickness 0.2 mm,
TR 12.57 ms, TE 6 ms, FA 25, water excitation, 512 slices, GRAPPA 3). Lesions were harvested (popliteal artery in 4 patients, peroneal in 1, and the trifurcation and TP trunk in the remaining subject) and were segmented into 1 cm samples stored in formalin. MicroMRI (9.4 T Bruker Advance
400, UTE 3D, 70 um isotropic ) and micro CT (40um) images were acquired to identify calcified lesion components and for direct comparison with the near in-vivo 7T images. To illustrate the power of the 7T to
differentiate lesion components, a pseudo-color composite (red:
T1-weighted, green: T2-weighted, and blue: UTE) was created using ImageJ after images were registered to each other with the 3D Slicer software.
Results
In
all subjects, 7T MRI yielded artifact-free, high-resolution images of superior contrast of the PAD lesions of interest with much-improved differentiation power the corresponding CTA (figure 1). Calcified components could readily be appreciated in the UTE images as confirmed by microCT (figure 2). Comparison with the T1-weighted images allowed identifying collagen-rich regions compared to solid calcification. While of higher spatial resolution, micro MRI images yielded marginal improvement compared to the near-in-vivo acquired images (figure 2). The pseudo-color images created an enhanced contrast between lesion components towards the development of a quantification method.
Discussion
A
clinical MRI protocol was established on the ultra-high-field clinical
7T scanner for visualization and quantification of PAD lesion
components. Ex-vivo imaging (micro MRI and microCT) supported findings
and the initial impression of the 7T images.
Conclusion
Clinical
7T MRI using T1W, T2W, and UTE imaging can be used to characterize
popliteal and tibial peripheral artery lesions. Future work will
determine if this method can be used to predict success in peripheral
endovascular interventions.Acknowledgements
No acknowledgement found.References
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