Convection-enhanced delivery (CED) is an investigational therapy developed to circumvent the limitations of drug delivery to the brain. Catheters are used in CED to locally infuse therapeutic agents into brain tissue. CED has demonstrated clinical utility for treatment of malignant brain tumors; however, CED has been limited by lack of CED-specific catheters. Therefore, we developed a multiport, arborizing catheter to maximize drug distribution for CED. Using a multiphasic finite element (FE) framework, we parametrically determined the influence of design variables of the catheter on the dispersal volume of the infusion. We predicted dispersal volume of a solute infused in a permeable hyperelastic solid matrix, as a function of separation distance (ranging from 0.5 to 2.0 cm) of imbedded infusion cavities that represented individual ports in a multiport catheter. To validate the model, we compared FE solutions of pressure-controlled infusions to experimental data of indigo carmine dye infused in agarose tissue phantoms. The Tc50, defined as the infusion time required for the normalized solute concentration between two sources to equal 50% of the prescribed concentration, was determined for simulations with infusion pressures ranging from 1 to 4 kPa. In our validated model, we demonstrate that multiple ports increase dispersal volume with increasing port distance but are associated with a significant increase in infusion time. Tc50 increases approximately tenfold when doubling the port distance. Increasing the infusion flow rate (from 0.7 μL/min to 8.48 μL/min) can mitigate the increased infusion time. In conclusion, a compromise of port distance and flow rate could improve infusion duration and dispersal volume.
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August 2019
Research-Article
Parametric Study of the Design Variables of an Arborizing Catheter on Dispersal Volume Using a Biphasic Computational Model
Egleide Y. Elenes,
Egleide Y. Elenes
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: eelenes@utexas.edu
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: eelenes@utexas.edu
Search for other works by this author on:
Manuel K. Rausch,
Manuel K. Rausch
Department of Aerospace Engineering and
Engineering Mechanics,
University of Texas at Austin,
2617 Wichita Street, Stop C0600,
Austin, TX 78712-1221;
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: manuel.rausch@utexas.edu
Engineering Mechanics,
University of Texas at Austin,
2617 Wichita Street, Stop C0600,
Austin, TX 78712-1221;
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: manuel.rausch@utexas.edu
Search for other works by this author on:
Christopher G. Rylander
Christopher G. Rylander
Department of Mechanical Engineering,
University of Texas at Austin,
204 E. Dean Keeton Street, Stop C2200,
Austin, TX 78712-1591;
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: cgr@austin.utexas.edu
University of Texas at Austin,
204 E. Dean Keeton Street, Stop C2200,
Austin, TX 78712-1591;
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: cgr@austin.utexas.edu
1Corresponding author.
Search for other works by this author on:
Egleide Y. Elenes
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: eelenes@utexas.edu
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: eelenes@utexas.edu
Manuel K. Rausch
Department of Aerospace Engineering and
Engineering Mechanics,
University of Texas at Austin,
2617 Wichita Street, Stop C0600,
Austin, TX 78712-1221;
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: manuel.rausch@utexas.edu
Engineering Mechanics,
University of Texas at Austin,
2617 Wichita Street, Stop C0600,
Austin, TX 78712-1221;
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: manuel.rausch@utexas.edu
Christopher G. Rylander
Department of Mechanical Engineering,
University of Texas at Austin,
204 E. Dean Keeton Street, Stop C2200,
Austin, TX 78712-1591;
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: cgr@austin.utexas.edu
University of Texas at Austin,
204 E. Dean Keeton Street, Stop C2200,
Austin, TX 78712-1591;
Department of Biomedical Engineering,
University of Texas at Austin,
107 W. Dean Keeton Street, Stop C0800,
Austin, TX 78712
e-mail: cgr@austin.utexas.edu
1Corresponding author.
Manuscript received December 20, 2018; final manuscript received January 28, 2019; published online April 1, 2019. Assoc. Editor: Linxia Gu.
ASME J of Medical Diagnostics. Aug 2019, 2(3): 031002 (9 pages)
Published Online: April 1, 2019
Article history
Received:
December 20, 2018
Revised:
January 28, 2019
Citation
Elenes, E. Y., Rausch, M. K., and Rylander, C. G. (April 1, 2019). "Parametric Study of the Design Variables of an Arborizing Catheter on Dispersal Volume Using a Biphasic Computational Model." ASME. ASME J of Medical Diagnostics. August 2019; 2(3): 031002. https://doi.org/10.1115/1.4042874
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