MR Techniques for stroke-related vessel wall imaging
Zhaoyang Fan1

1Cedars-Sinai Medical Center, United States

Synopsis

Stroke is one of the major causes of morbidity and mortality worldwide and is the number one cause of adult disability. This disease primarily arises from pathogenesis in a large blood vessel such as the aorta, carotid artery, and intracranial artery and venous sinus. Black-blood MR, commonly known as MR vessel wall imaging (VWI), has emerged as a leading noninvasive imaging modality for directly assessing the vessel wall. Many of previous studies have shown the promise of using MR VWI for characterizing different vessel wall pathologies that potentially result in a stroke. The present lecture will focus on recent (within the last decade) technical developments in MR VWI at the carotid artery, intracranial vessels, and aortic arteries.

Session

Cardiovascular MRI: Vascular, Sunday, June 17, 2018

Highlights

· Stroke and its relation to large blood vessels

· MR techniques for carotid vessel wall imaging

· MR techniques for intracranial vessel wall imaging techniques

· MR techniques for aortic vessel wall imaging techniques

Target Audience

Radiologists, technologists and basic scientists with an interest in stroke-related vessel wall imaging

Objectives

Upon the completion of this lecture, participants should be able to

1. understand the relation between stroke incidence and large vessel diseases

2. review vessel wall imaging techniques for different vascular parts that may be involved in stroke

3. understand the technical strengths and weaknesses of each technique.

Outline

Stroke is one of the major causes of morbidity and mortality worldwide and is the number one cause of adult disability.1 This disease primarily arises from pathogenesis in a large blood vessel such as the aorta, carotid artery, and intracranial artery and venous sinus. Traditional vascular examinations rely on luminography imaging, including computed tomography (CT) angiography, ultrasonography, magnetic resonance (MR) angiography, and digital subtraction angiography (DSA). These imaging techniques are limited to the detection of luminal abnormalities and thus inadequate for characterizing underlying vessel wall pathologies or confirming the etiology.2

Black-blood MR, commonly known as MR vessel wall imaging (VWI), has emerged as a leading noninvasive imaging modality for directly assessing the vessel wall. Many of previous studies have shown the promise of using MR VWI for characterizing different vessel wall pathologies that potentially result in a stroke. Research for understanding pathophysiology and developing novel preventative and treatment strategies have now been possible because of the success in technical development of MR VWI. The present lecture will focus on recent (within the last decade) technical developments in MR VWI at the carotid artery, intracranial vessels, and aortic arteries.

MR VWI at the carotid artery has gained tremendous research interests in the past over two decades. The trend of technical development is currently moving towards higher imaging efficiency, easier workflow, robustness to motion, and more quantitative evaluations. A series of recently developed techniques, aimed for, for example, dual-3 or multi-contrast VWI4, swallowing motion compensation5,6, dynamic contrast enhanced imaging7,8, and T1/T2 mapping9, will be discussed in the lecture. A recently reached consensus on carotid MR VWI protocols will also be introduced.10

Intracranial VWI, particularly 3D VWI, is becoming a hot research topic in the past few years.11 Compared to the carotid artery, the intracranial vessels present a few more technical challenges such as their small size, deep location, and surrounding cerebrospinal fluid. Several research groups have proposed strategies to overcome the above challenges.12-20 In the lecture, these techniques and associated protocols will be discussed followed by an introduction of a recently reached consensus on intracranial MR VWI protocols.21 Additionally, a unique application of VWI, black-blood thrombus imaging, has been proposed for venous sinus thrombosis evaluations and will be discussed.22

The aorta, particularly the ascending aorta and aortic arch, has been assessed using MR VWI decades ago, but has seen slower technique advancement. One of possible reason is that this location is associated with cardiac and respiratory motion. Compensating for these motion sources can dramatically sacrifice the scan efficiency, resulting prolonged examination or inadequate spatial coverage. A few techniques have been proposed and validated on a relatively smaller cohort of patients.23-27 The lecture will discuss these techniques and some new developments.

MR VWI has demonstrated the potential of unraveling vessel pathologies that contributing to the incidence of a stroke. Continued technical developments are making the modality more accurate, reliable, and easier to use. Further clinical adoption of the tool in stroke-related clinical management awaits randomized clinical trials for many applications, such as diagnosis of culprit lesion, prediction of recurrence, and treatment monitoring.

Acknowledgements

No acknowledgement found.

References

1. Benjamin EJ, Blaha MJ, Chiuve SE, et al. on behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics—2017 update: a report from the American Heart Association. Circulation. 2017;135:e229-e445.

2. Wasserman BA, Wityk RJ, Trout HH 3rd, et al. Low-grade carotid stenosis: looking beyond the lumen with MRI. Stroke 2005;36:2504-3.

3. Wang J, Bornert P, Zhao H, et al. Simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) imaging for carotid atherosclerotic disease evaluation. Magn Reson Med. 2013;69:337-45.

4. Fan Z, Yu W, Xie Y, et al. Multi-contrast atherosclerosis characterization (MATCH) of carotid plaque with a single 5-min scan: technical development and clinical feasibility. J Cardiovasc Magn Reson 2014;16:53.

5. Fan Z, Zuehlsdorff S, Liu X, et al. Prospective self-gating for swallowing motion: a feasibility study in carotid artery wall MRI using three-dimensional variable-flip-angle turbo spin-echo. Magn Reson Med. 2012:490-8.

6. Dyverfeldt P, Deshpande VS, Kober T, et al. Reduction of motion artifacts in carotid MRI using free-induction decay navigators. J Magn Reson Imaging 2014;40:214-20.

7. Calcagno C, Robson PM, Ramachandran S, et al. SHILO, a novel dual imaging approach for simultaneous HI-/LOw temporal (Low-/Hi-spatial) resolution imaging for vascular dynamic contrast enhanced cardiovascular magnetic resonance: numerical simulation and feasibility in the carotid arteries. J Cardiovasc Magn Reson 2013;15:42.

8. Qi H, Huang F, Zhou Z, et al. Large coverage black-bright blood interleaved imaging sequence (LaBBI) for 3D dynamic contrast-enhanced MRI of vessel wall. Magn Reson Med 2018;79:1334-44.

9. Coolen BF, Poot DH, Liem MI, et al. Three-dimensional quantitative T1 and T2 mapping of the carotid artery: sequence design and in vivo feasibility. Magn Reson Med. 2016;75:1008-17.

10. Saba L, Yuan C, Hatsukami TS, et al. Carotid artery wall imaging: perspective and guidelines from the ASNR vessel wall imaging study group and expert consensus recommendations of the American Society of Neuroradiology. Am J Neuroradiol. 2018;39:E9-E31.

11. Qiao Y, Steinman DA, Qin Q, et al. Intracranial arterial wall imaging using three-dimensional high isotropic black blood MRI at 3.0 Tesla. J Magn Reson Imaging 2011;34:22-30.

12. van der Kolk AG, Zwanenburg JJ, Brundel M, et al. Intracranial vessel wall imaging at 7.0-T MRI. Stroke 2011;42:2478-84.

13. van der Kolk AG, Hendrikse J, Brundel M, et al. Multi-sequence whole-brain intracranial vessel wall imaging at 7.0 tesla. Eur Radiol 2013;23:2996-3004.

14. Wang J, Helle M, Zhou Z, et al. Joint blood and cerebrospinal fluid suppression for intracranial vessel wall MRI. Magn Reson Med 2016;75:831-38.

15. Viessmann O, Li L, Benjamin P, et al. T2-weighted intracranial vessel wall imaging at 7 Tesla using a DANTE-prepared variable flip angle turbo spin echo readout (DANTE-SPACE). Magn Reson Med 2017;77:655-63.

16. Fan Z, Yang Q, Deng Z, et al. Whole-brain intracranial vessel wall imaging at 3 Tesla using cerebrospinal fluid-attenuated T1-weighted 3D turbo spin echo. Magn Reson Med. 2017;77:1142-50.

17. Yang H, Zhang X, Qin Q, et al. Improved cerebrospinal fluid suppression for intracranial vessel wall MRI. J Magn Reson Imaging 2016;44:665-72.

18. Yang Q, Deng Z, Bi X, et al. Whole-brain vessel wall MRI: a parameter tune-up solution to improve the scan efficiency of three-dimensional variable flip-angle turbo spin-echo. J Magn Reson Imaging 2017;46:751-7.

19. Zhu C, Tian B, Chen L, et al. Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE). MAGMA 2017.

20. Zhang, L Zhang N, Wu J, et al. High resolution simultaneous imaging of intracranial and extracranial arterial wall with improved cerebrospinal fluid suppression. Magn Reson Imaging 2017;44:65-71.

21. Mandell DM, Mossa-Basha M, Qiao Y, et al. Intracranial vessel wall MRI: principles and expert consensus recommendations of the American Society of Neuroradiology. Am J Neuroradiol. 2017:38:218-229.

22. Yang Q, Duan J, Fan Z, et al. Early detection and quantification of cerebral venous thrombosis by magnetic resonance black-blood thrombus imaging. Stroke 2016;47:404-9.

23. Roes, S.D., et al., Aortic vessel wall magnetic resonance imaging at 3.0 Tesla: A reproducibility study of respiratory navigator gated free-breathing 3D black blood magnetic resonance imaging. Magn Reson Med 2009;61:35-44.

24. Mihai, G., et al., T1-weighted–SPACE dark blood whole body magnetic resonance angiography (DB-WBMRA): Initial experience. J Magn Reson Imaging 2010;31:502-9.

25. Mooiweer, R., et al., Fast 3D isotropic imaging of the aortic vessel wall by application of 2D spatially selective excitation and a new way of inversion recovery for black blood imaging. Magn Reson Med. 2016;75:547-55.

26. Peel, S.A., et al., Accelerated aortic imaging using small field of view imaging and electrocardiogram-triggered quadruple inversion recovery magnetization preparation. J Magn Reson Imaging 2011;34:1176-83.

27. Zhou, C., et al., Characterization of atherosclerotic disease in thoracic aorta: A 3D, multicontrast vessel wall imaging study. Eur J Radiol 2016;85:2030-35.

Proc. Intl. Soc. Mag. Reson. Med. 26 (2018)