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.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
1R01HL114118-01A1
Application #
8717462
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Baldwin, Tim
Project Start
2014-04-08
Project End
2018-03-31
Budget Start
2014-04-08
Budget End
2015-03-31
Support Year
1
Fiscal Year
2014
Total Cost
$456,112
Indirect Cost
$158,583
Name
Northern California Institute Research & Education
Department
Type
DUNS #
613338789
City
San Francisco
State
CA
Country
United States
Zip Code
94121
Zhu, Chengcheng; Haraldsson, Henrik; Faraji, Farshid et al. (2016) Isotropic 3D black blood MRI of abdominal aortic aneurysm wall and intraluminal thrombus. Magn Reson Imaging 34:18-25
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
Sigovan, Monica; Dyverfeldt, Petter; Wrenn, Jarrett et al. (2015) Extended 3D approach for quantification of abnormal ascending aortic flow. Magn Reson Imaging 33:695-700
Saloner, David; Liu, Jing; Haraldsson, Henrik (2015) MR physics in practice: how to optimize acquisition quality and time for cardiac MR imaging. Magn Reson Imaging Clin N Am 23:1-6
Hope, Michael D; Hope, Thomas A; Zhu, Chengcheng et al. (2015) Vascular Imaging With Ferumoxytol as a Contrast Agent. AJR Am J Roentgenol 205:W366-73
Zhang, Xuefeng; Zhu, Chengcheng; Peng, Wenjia et al. (2015) Scan-Rescan Reproducibility of High Resolution Magnetic Resonance Imaging of Atherosclerotic Plaque in the Middle Cerebral Artery. PLoS One 10:e0134913
Liu, Jing; Dyverfeldt, Petter; Acevedo-Bolton, Gabriel et al. (2014) Highly accelerated aortic 4D flow MR imaging with variable-density random undersampling. Magn Reson Imaging 32:1012-20
Liu, Jing; Saloner, David (2014) Accelerated MRI with CIRcular Cartesian UnderSampling (CIRCUS): a variable density Cartesian sampling strategy for compressed sensing and parallel imaging. Quant Imaging Med Surg 4:57-67
Hope, Michael D; Sigovan, Monica; Wrenn, S Jarrett et al. (2014) MRI hemodynamic markers of progressive bicuspid aortic valve-related aortic disease. J Magn Reson Imaging 40:140-5
Haraldsson, Henrik; Hope, Michael; Acevedo-Bolton, Gabriel et al. (2014) Feasibility of asymmetric stretch assessment in the ascending aortic wall with DENSE cardiovascular magnetic resonance. J Cardiovasc Magn Reson 16:6

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