Literature DB >> 20869718

A nonlinear biphasic model of flow-controlled infusions in brain: mass transport analyses.

Joshua H Smith1, José Jaime García.   

Abstract

A biphasic nonlinear mathematical model is proposed for the mass transport that occurs during constant flow-rate infusions into brain tissue. The model takes into account geometric and material nonlinearities and a hydraulic conductivity dependent upon strain. The biphasic and convective-diffusive transport equations were implemented in a custom-written code assuming spherical symmetry and using an updated Lagrangian finite element algorithm. Results of the model indicate that the inclusion of these nonlinearities produced modest changes in the interstitial concentration but important variations in drug penetration and bulk concentration. Increased penetration of the drug but smaller bulk concentrations were obtained at smaller strains caused by combination of parameters such as increased Young's modulus and initial hydraulic conductivity. This indicates that simulations of constant flow-rate infusions under the assumption of infinitesimal deformations or rigidity of the tissue may yield lower bulk concentrations near the infusion cavity and over-predictions of the penetration of the infused agent. The analyses also showed that decrease in the infusion flow rate of a fixed amount of drug results in increased penetration of the infused agent. From the clinical point-of-view, this may promote a safer infusion that delivers the therapeutic range over the desired volume while avoiding damage to the tissue by minimizing deformation and strain.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20869718     DOI: 10.1016/j.jbiomech.2010.09.010

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  8 in total

1.  In vivo evaluation of needle force and friction stress during insertion at varying insertion speed into the brain.

Authors:  Fernando Casanova; Paul R Carney; Malisa Sarntinoranont
Journal:  J Neurosci Methods       Date:  2014-08-20       Impact factor: 2.390

2.  Voxelized computational model for convection-enhanced delivery in the rat ventral hippocampus: comparison with in vivo MR experimental studies.

Authors:  Jung Hwan Kim; Garrett W Astary; Svetlana Kantorovich; Thomas H Mareci; Paul R Carney; Malisa Sarntinoranont
Journal:  Ann Biomed Eng       Date:  2012-04-25       Impact factor: 3.934

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

Authors:  Gustavo A Orozco; Joshua H Smith; José J García
Journal:  Med Biol Eng Comput       Date:  2014-08-26       Impact factor: 2.602

4.  Parametric Study of the Design Variables of an Arborizing Catheter on Dispersal Volume Using a Biphasic Computational Model.

Authors:  Egleide Y Elenes; Manuel K Rausch; Christopher G Rylander
Journal:  J Eng Sci Med Diagn Ther       Date:  2019-04-01

5.  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

6.  A Hybrid Reactive Multiphasic Mixture With a Compressible Fluid Solvent.

Authors:  Jay J Shim; Gerard A Ateshian
Journal:  J Biomech Eng       Date:  2022-01-01       Impact factor: 2.097

Review 7.  Convection-Enhanced Delivery: Connection to and Impact of Interstitial Fluid Flow.

Authors:  Caleb A Stine; Jennifer M Munson
Journal:  Front Oncol       Date:  2019-10-02       Impact factor: 6.244

Review 8.  Insights into Infusion-Based Targeted Drug Delivery in the Brain: Perspectives, Challenges and Opportunities.

Authors:  Asad Jamal; Tian Yuan; Stefano Galvan; Antonella Castellano; Marco Riva; Riccardo Secoli; Andrea Falini; Lorenzo Bello; Ferdinando Rodriguez Y Baena; Daniele Dini
Journal:  Int J Mol Sci       Date:  2022-03-15       Impact factor: 5.923

  8 in total

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