A computational methodology for simulating virtual inferior vena cava (IVC) filter placement and IVC hemodynamics was developed and demonstrated in two patient-specific IVC geometries: a left-sided IVC and an IVC with a retroaortic left renal vein. An inverse analysis was performed to obtain the approximate in vivo stress state for each patient vein using nonlinear finite element analysis (FEA). Contact modeling was then used to simulate IVC filter placement. Contact area, contact normal force, and maximum vein displacements were higher in the retroaortic IVC than in the left-sided IVC (144 mm2, 0.47 N, and 1.49 mm versus 68 mm2, 0.22 N, and 1.01 mm, respectively). Hemodynamics were simulated using computational fluid dynamics (CFD), with four cases for each patient-specific vein: (1) IVC only, (2) IVC with a placed filter, (3) IVC with a placed filter and model embolus, all at resting flow conditions, and (4) IVC with a placed filter and model embolus at exercise flow conditions. Significant hemodynamic differences were observed between the two patient IVCs, with the development of a right-sided jet, larger flow recirculation regions, and lower maximum flow velocities in the left-sided IVC. These results support further investigation of IVC filter placement and hemodynamics on a patient-specific basis.
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August 2014
Research-Article
A Computational Method for Predicting Inferior Vena Cava Filter Performance on a Patient-Specific Basis
Kenneth I. Aycock
,
Kenneth I. Aycock
Department of Bioengineering,
Applied Research Laboratory,
e-mail: aycock@psu.edu
Applied Research Laboratory,
The Pennsylvania State University
,University Park, PA 16802
e-mail: aycock@psu.edu
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Robert L. Campbell
,
Robert L. Campbell
Department of Mechanical
and Nuclear Engineering,
Applied Research Laboratory,
and Nuclear Engineering,
Applied Research Laboratory,
The Pennsylvania State University
,University Park, PA 16802
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Keefe B. Manning
,
Keefe B. Manning
Department of Bioengineering,
The Pennsylvania State University
,University Park, PA 16802
Department of Surgery,
Penn State Hershey Medical Center
,Hershey, PA 17033
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Shankar P. Sastry
,
Shankar P. Sastry
Scientific Computing and Imaging Institute,
University of Utah
,Salt Lake City, UT 84112
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Suzanne M. Shontz
,
Suzanne M. Shontz
Department of Mathematics and Statistics,
Department of Computer Science
and Engineering,
Center for Computational Sciences,
Graduate Program in Computational Engineering,
Department of Computer Science
and Engineering,
Center for Computational Sciences,
Graduate Program in Computational Engineering,
Mississippi State University
,Mississippi State, MS 39762
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Frank C. Lynch
,
Frank C. Lynch
Department of Surgery,
Penn State Hershey Medical Center
,Hershey, PA 17033
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Brent A. Craven
Brent A. Craven
Department of Mechanical
and Nuclear Engineering,
Department of Bioengineering,
Applied Research Laboratory,
e-mail: craven@psu.edu
and Nuclear Engineering,
Department of Bioengineering,
Applied Research Laboratory,
The Pennsylvania State University
,University Park, PA 16802
e-mail: craven@psu.edu
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Kenneth I. Aycock
Department of Bioengineering,
Applied Research Laboratory,
e-mail: aycock@psu.edu
Applied Research Laboratory,
The Pennsylvania State University
,University Park, PA 16802
e-mail: aycock@psu.edu
Robert L. Campbell
Department of Mechanical
and Nuclear Engineering,
Applied Research Laboratory,
and Nuclear Engineering,
Applied Research Laboratory,
The Pennsylvania State University
,University Park, PA 16802
Keefe B. Manning
Department of Bioengineering,
The Pennsylvania State University
,University Park, PA 16802
Department of Surgery,
Penn State Hershey Medical Center
,Hershey, PA 17033
Shankar P. Sastry
Scientific Computing and Imaging Institute,
University of Utah
,Salt Lake City, UT 84112
Suzanne M. Shontz
Department of Mathematics and Statistics,
Department of Computer Science
and Engineering,
Center for Computational Sciences,
Graduate Program in Computational Engineering,
Department of Computer Science
and Engineering,
Center for Computational Sciences,
Graduate Program in Computational Engineering,
Mississippi State University
,Mississippi State, MS 39762
Frank C. Lynch
Department of Surgery,
Penn State Hershey Medical Center
,Hershey, PA 17033
Brent A. Craven
Department of Mechanical
and Nuclear Engineering,
Department of Bioengineering,
Applied Research Laboratory,
e-mail: craven@psu.edu
and Nuclear Engineering,
Department of Bioengineering,
Applied Research Laboratory,
The Pennsylvania State University
,University Park, PA 16802
e-mail: craven@psu.edu
Manuscript received November 3, 2013; final manuscript received April 25, 2014; accepted manuscript posted May 8, 2014; published online June 2, 2014. Assoc. Editor: Ender A. Finol.
J Biomech Eng. Aug 2014, 136(8): 081003 (13 pages)
Published Online: June 2, 2014
Article history
Received:
November 3, 2013
Revision Received:
April 25, 2014
Accepted:
May 8, 2014
Connected Content
Citation
Aycock, K. I., Campbell, R. L., Manning, K. B., Sastry, S. P., Shontz, S. M., Lynch, F. C., and Craven, B. A. (June 2, 2014). "A Computational Method for Predicting Inferior Vena Cava Filter Performance on a Patient-Specific Basis." ASME. J Biomech Eng. August 2014; 136(8): 081003. https://doi.org/10.1115/1.4027612
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