Literature DB >> 25154980

Backflow length predictions during flow-controlled infusions using a nonlinear biphasic finite element model.

Gustavo A Orozco1, Joshua H Smith, José J García.   

Abstract

A previously proposed finite element model that considers geometric and material nonlinearities and the free boundary problems that occur at the catheter tip and in the annular zone around the lateral surface of the catheter was revised and was used to fit a power-law formula to predict backflow length during infusions into brain tissue. Compared to a closed-form solution based on linear elasticity, the power-law formula for compliant materials predicted a substantial lower influence of the shear modulus and catheter radius on the backflow length, whereas the corresponding influence for stiffer materials was more consistent with the closed-form solution. The finite element model predicted decreases of the backflow length for reduction of the shear modulus for highly compliant materials (shear modulus less than 500 Pa) due to the increased area of infusion and the high fluid fraction near the infusion cavity that greatly increased the surface area available for fluid transfer and reduced the hydraulic resistance toward the tissue. These results show the importance of taking into account the material and geometrical nonlinearities that arise near the infusion surface as well as the change of hydraulic conductivity with strain for a proper characterization of backflow length during flow-controlled infusions into the brain.

Mesh:

Year:  2014        PMID: 25154980     DOI: 10.1007/s11517-014-1187-1

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  26 in total

1.  Focal delivery during direct infusion to brain: role of flow rate, catheter diameter, and tissue mechanics.

Authors:  P F Morrison; M Y Chen; R S Chadwick; R R Lonser; E H Oldfield
Journal:  Am J Physiol       Date:  1999-10

2.  Fluid infusions from catheters into elastic tissue: I. Azimuthally symmetric backflow in homogeneous media.

Authors:  Raghu Raghavan; Samuel Mikaelian; Martin Brady; Zhi-Jian Chen
Journal:  Phys Med Biol       Date:  2010-01-07       Impact factor: 3.609

3.  A nonlinear biphasic model of flow-controlled infusion in brain: fluid transport and tissue deformation analyses.

Authors:  Joshua H Smith; José Jaime García
Journal:  J Biomech       Date:  2009-07-29       Impact factor: 2.712

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Journal:  J Biomech       Date:  2011-02-16       Impact factor: 2.712

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Authors:  O Ivanchenko; V Ivanchenko
Journal:  J Biomech Eng       Date:  2011-06       Impact factor: 2.097

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Journal:  J Biomech       Date:  1997 Nov-Dec       Impact factor: 2.712

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Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

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Authors:  P F Morrison; D W Laske; H Bobo; E H Oldfield; R L Dedrick
Journal:  Am J Physiol       Date:  1994-01

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Authors:  R H Bobo; D W Laske; A Akbasak; P F Morrison; R L Dedrick; E H Oldfield
Journal:  Proc Natl Acad Sci U S A       Date:  1994-03-15       Impact factor: 11.205

10.  Clinical utility of a patient-specific algorithm for simulating intracerebral drug infusions.

Authors:  John H Sampson; Raghu Raghavan; Martin L Brady; James M Provenzale; James E Herndon; David Croteau; Allan H Friedman; David A Reardon; R Edward Coleman; Terence Wong; Darell D Bigner; Ira Pastan; María Inmaculada Rodríguez-Ponce; Philipp Tanner; Raj Puri; Christoph Pedain
Journal:  Neuro Oncol       Date:  2007-04-13       Impact factor: 12.300

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  2 in total

1.  Convection-enhanced delivery with controlled catheter movement: A parametric finite element analysis.

Authors:  Jason N Mehta; Manuel K Rausch; Christopher G Rylander
Journal:  Int J Numer Method Biomed Eng       Date:  2022-07-15       Impact factor: 2.648

2.  Constant Pressure Convection-Enhanced Delivery Increases Volume Dispersed With Catheter Movement in Agarose.

Authors:  Jason N Mehta; Brianna E Morales; Fang-Chi Hsu; John H Rossmeisl; Christopher G Rylander
Journal:  J Biomech Eng       Date:  2022-11-01       Impact factor: 1.899

  2 in total

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