Treatments for coarctation of the aorta (CoA) can alleviate blood pressure (BP) gradients (Δ), but long-term morbidity still exists that can be explained by altered indices of hemodynamics and biomechanics. We introduce a technique to increase our understanding of these indices for CoA under resting and nonresting conditions, quantify their contribution to morbidity, and evaluate treatment options. Patient-specific computational fluid dynamics (CFD) models were created from imaging and BP data for one normal and four CoA patients (moderate native CoA: Δ12 mmHg, severe native CoA: Δ25 mmHg and postoperative end-to-end and end-to-side patients: Δ0 mmHg). Simulations incorporated vessel deformation, downstream vascular resistance and compliance. Indices including cyclic strain, time-averaged wall shear stress (TAWSS), and oscillatory shear index (OSI) were quantified. Simulations replicated resting BP and blood flow data. BP during simulated exercise for the normal patient matched reported values. Greatest exercise-induced increases in systolic BP and mean and peak ΔBP occurred for the moderate native CoA patient (SBP: 115 to 154 mmHg; mean and peak ΔBP: 31 and 73 mmHg). Cyclic strain was elevated proximal to the coarctation for native CoA patients, but reduced throughout the aorta after treatment. A greater percentage of vessels was exposed to subnormal TAWSS or elevated OSI for CoA patients. Local patterns of these indices reported to correlate with atherosclerosis in normal patients were accentuated by CoA. These results apply CFD to a range of CoA patients for the first time and provide the foundation for future progress in this area.
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September 2011
Research Papers
Computational Simulations for Aortic Coarctation: Representative Results From a Sampling of Patients
John F. LaDisa,
John F. LaDisa
Department of Biomedical Engineering,
Marquette University
, Milwaukee, WI 53233; Department of Pediatrics, Children’s Hospital of Wisconsin, Milwaukee
, WI 53226 e-mail:
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C. Alberto Figueroa,
C. Alberto Figueroa
Department of Bioengineering,
Stanford University
, Stanford, CA 94305
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Irene E. Vignon-Clementel,
Irene E. Vignon-Clementel
INRIA Paris-Rocquencourt
BP 105, 78153 Le Chesnay Cedex, France
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Hyun Jin Kim,
Hyun Jin Kim
Aerospace Engineering Sciences
, University of Colorado at Boulder, Boulder, CO 80309
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Nan Xiao,
Nan Xiao
Department of Bioengineering,
Stanford University
, Stanford, CA 94305
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Laura M. Ellwein,
Laura M. Ellwein
Department of Biomedical Engineering,
Marquette University
, Milwaukee
, WI 53233
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Frandics P. Chan,
Frandics P. Chan
Department of Radiology,
Stanford University
, Stanford, CA 94305
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Jeffrey A. Feinstein,
Jeffrey A. Feinstein
Department of Bioengineering, Department of Pediatrics,
Stanford University
, Stanford, CA 94305; Lucile Packard Children’s Hospital, Palo Alto
, CA 94304
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Charles A. Taylor
Charles A. Taylor
Department of Bioengineering, Department of Radiology,
Stanford University
, Stanford, CA 94305
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John F. LaDisa
Department of Biomedical Engineering,
Marquette University
, Milwaukee, WI 53233; Department of Pediatrics, Children’s Hospital of Wisconsin, Milwaukee
, WI 53226 e-mail:
C. Alberto Figueroa
Department of Bioengineering,
Stanford University
, Stanford, CA 94305
Irene E. Vignon-Clementel
INRIA Paris-Rocquencourt
BP 105, 78153 Le Chesnay Cedex, France
Hyun Jin Kim
Aerospace Engineering Sciences
, University of Colorado at Boulder, Boulder, CO 80309
Nan Xiao
Department of Bioengineering,
Stanford University
, Stanford, CA 94305
Laura M. Ellwein
Department of Biomedical Engineering,
Marquette University
, Milwaukee
, WI 53233
Frandics P. Chan
Department of Radiology,
Stanford University
, Stanford, CA 94305
Jeffrey A. Feinstein
Department of Bioengineering, Department of Pediatrics,
Stanford University
, Stanford, CA 94305; Lucile Packard Children’s Hospital, Palo Alto
, CA 94304
Charles A. Taylor
Department of Bioengineering, Department of Radiology,
Stanford University
, Stanford, CA 94305J Biomech Eng. Sep 2011, 133(9): 091008 (9 pages)
Published Online: October 14, 2011
Article history
Received:
July 14, 2011
Revised:
August 31, 2011
Published:
October 14, 2011
Citation
LaDisa, J. F., Alberto Figueroa, C., Vignon-Clementel, I. E., Jin Kim, H., Xiao, N., Ellwein, L. M., Chan, F. P., Feinstein, J. A., and Taylor, C. A. (October 14, 2011). "Computational Simulations for Aortic Coarctation: Representative Results From a Sampling of Patients." ASME. J Biomech Eng. September 2011; 133(9): 091008. https://doi.org/10.1115/1.4004996
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