Abdominal Aortic Aneurysm (AAA) is a condition with potentially devastating outcomes if the aneurysm progresses to rupture. Although the evolution of AAA is a complex process that is likely mediated by an interplay of biochemical and biomechanical factors, and despite the geometrical and structural variability of the entity itself, current clinical criteria hinge on a single parameter - the maximal lumenal diameter. Under clinical guidelines, there is a large population of individuals who harbor aneurysms that have not yet reached a size (5.5 cms) where the benefit from surgical intervention (either open surgery or endovascular stent-graft placement) exceeds the risk of the procedure. These patients are then followed with watchful waiting. It is the hypothesis of this project that hemodynamic factors play an important role in determining whether a given aneurysm will progress more rapidly than would be estimated on the basis of maximal lumenal diameter alone. The project will develop advanced MRI capabilities to measure the geometric morphology of the vascular lumen and of any intralumenal thrombus that might be present. Imaging of functional characteristics such as vascular compliance and turbulent kinetic energy will also be implemented. Similarly, advanced Computational Fluid Dynamics (CFD) simulations will be performed to simulate, on a patient-specific basis, the velocity fields in these aneurysms. The simulations will include fluid-structur interactions, non-laminar effects, and non- Newtonian terms. Consistency of these methods will be checked in cross-comparison with one another, and against experimental flow models. A cohort of patients with aneurysms in the range from 3.5 to 5.0 cms will be recruited for bi-annual imaging. Interval data sets will be co-registered with each other and changes in aneurysm morphology will be measured. These changes will then be correlated with hemodynamic descriptors calculated for that specific aneurysm. Particular care will be taken to ensure that the project is formulated to provide data reporting and guidance that is directly relevant to the clinician in community practice. It is the hypothesis of this proposal that regions of reduced wall shear stress will correlate with regions of more rapid aneurysm growth. If this is indeed demonstrated to be the case, this project will provide the tools to identify patients who, despite relatively small aneurysm size, might be rapid progressors, and conversely, cases where patients with larger aneurysms might have relatively stable conditions. That information would be important in ensuring that rapid progressors are treated before they progress to rupture, and that patients with stable aneurysms can be spared premature surgeries.

Public Health Relevance

This project will investigate whether forces from flowing blood are important factors in determining the rate of progression of Abdominal Aortic Aneurysms, a common and potentially lethal condition. Structural information and computed blood forces derived from MR-based imaging can establish whether a given patient has flow conditions that predispose either to an accelerated rate of growth, where the number of cases where small aneurysms rupture could be reduced, or cases where there might be a slow rate of growth and where surgery might not be warranted in a large aneurysm.

National Institute of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)
Research Project (R01)
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Medical Imaging Study Section (MEDI)
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Baldwin, Tim
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Northern California Institute Research & Education
San Francisco
United States
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Liu, Jing; Koskas, Louise; Faraji, Farshid et al. (2018) Highly accelerated intracranial 4D flow MRI: evaluation of healthy volunteers and patients with intracranial aneurysms. MAGMA 31:295-307
Zhu, Chengcheng; Tian, Bing; Chen, Luguang et al. (2018) Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE). MAGMA 31:457-467
Zhu, Chengcheng; Haraldsson, Henrik; Kallianos, Kimberly et al. (2018) Gated thoracic magnetic resonance angiography at 3T: noncontrast versus blood pool contrast. Int J Cardiovasc Imaging 34:475-483
Haraldsson, Henrik; Kefayati, Sarah; Ahn, Sinyeob et al. (2018) Assessment of Reynolds stress components and turbulent pressure loss using 4D flow MRI with extended motion encoding. Magn Reson Med 79:1962-1971
Kefayati, Sarah; Amans, Matthew; Faraji, Farshid et al. (2017) The manifestation of vortical and secondary flow in the cerebral venous outflow tract: An in vivo MR velocimetry study. J Biomech 50:180-187
Wang, Yan; Seguro, Florent; Kao, Evan et al. (2017) Segmentation of lumen and outer wall of abdominal aortic aneurysms from 3D black-blood MRI with a registration based geodesic active contour model. Med Image Anal 40:1-10
Kao, Evan; Kefayati, Sarah; Amans, Matthew R et al. (2017) Flow patterns in the jugular veins of pulsatile tinnitus patients. J Biomech 52:61-67
Liu, Jing; Feng, Li; Shen, Hsin-Wei et al. (2017) Highly-accelerated self-gated free-breathing 3D cardiac cine MRI: validation in assessment of left ventricular function. MAGMA 30:337-346
Jiang, Yuanliang; Zhu, Chengcheng; Peng, Wenjia et al. (2016) Ex-vivo imaging and plaque type classification of intracranial atherosclerotic plaque using high resolution MRI. Atherosclerosis 249:10-6
Walcott, Brian P; Reinshagen, Clemens; Stapleton, Christopher J et al. (2016) Predictive modeling and in vivo assessment of cerebral blood flow in the management of complex cerebral aneurysms. J Cereb Blood Flow Metab 36:998-1003

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