Three-dimensional nonlinear finite element model to estimate backflow during flow-controlled infusions into the brain
(2020) In Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 234(9). p.1018-1028- Abstract
Convection-enhanced delivery is a technique to bypass the blood–brain barrier and deliver therapeutic drugs into the brain tissue. However, animal investigations and preliminary clinical trials have reported reduced efficacy to transport the infused drug in specific zones, attributed mainly to backflow, in which an annular gap is formed outside the catheter and the fluid preferentially flows toward the surface of the brain rather than through the tissue in front of the cannula tip. In this study, a three-dimensional human brain finite element model of backflow was developed to study the influence of anatomical structures during flow-controlled infusions. Predictions of backflow length were compared under the influence of ventricular... (More)
Convection-enhanced delivery is a technique to bypass the blood–brain barrier and deliver therapeutic drugs into the brain tissue. However, animal investigations and preliminary clinical trials have reported reduced efficacy to transport the infused drug in specific zones, attributed mainly to backflow, in which an annular gap is formed outside the catheter and the fluid preferentially flows toward the surface of the brain rather than through the tissue in front of the cannula tip. In this study, a three-dimensional human brain finite element model of backflow was developed to study the influence of anatomical structures during flow-controlled infusions. Predictions of backflow length were compared under the influence of ventricular pressure and the distance between the cannula and the ventricles. Simulations with zero relative ventricle pressure displayed similar backflow length predictions for larger cannula-ventricle distances. In addition, infusions near the ventricles revealed smaller backflow length and the liquid was observed to escape to the longitudinal fissure and ventricular cavities. Simulations with larger cannula-ventricle distances and nonzero relative ventricular pressure showed an increase of fluid flow through the tissue and away from the ventricles. These results reveal the importance of considering both the subject-specific anatomical details and the nonlinear effects in models focused on analyzing current and potential treatment options associated with convection-enhanced delivery optimization for future clinical trials.
(Less)
- author
- Orozco, Gustavo A. LU ; Smith, Joshua H. and García, José J.
- publishing date
- 2020-09-01
- type
- Contribution to journal
- publication status
- published
- keywords
- backflow, brain tumor, brain ventricles, Convection-enhanced delivery, finite element model
- in
- Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
- volume
- 234
- issue
- 9
- pages
- 11 pages
- publisher
- Mechanical Engineering Publications For The Institution Of Mechanical Engineers
- external identifiers
-
- pmid:32643533
- scopus:85087676841
- ISSN
- 0954-4119
- DOI
- 10.1177/0954411920937220
- language
- English
- LU publication?
- no
- additional info
- Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was supported by the Colciencias program 516-2012 “Programa Nacional de Ciencia y Tecnología de la Salud” No. 110656933826. Thanks for the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie No 713645. Funding Information: The authors appreciate the support of the University of Eastern Finland, Lafayette College and Universidad del Valle to undertake this study. Neuroradiologist William Escobar Rojas, M.D., is acknowledged for his assistance with the MR imaging. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was supported by the Colciencias program 516-2012 ?Programa Nacional de Ciencia y Tecnolog?a de la Salud? No. 110656933826. Thanks for the European Union?s Horizon 2020 research and innovation program under the Marie Sk?odowska-Curie No 713645. Publisher Copyright: © IMechE 2020.
- id
- a17f91fd-ad40-4afd-98c1-5ffc779ed7c9
- date added to LUP
- 2022-06-08 11:46:20
- date last changed
- 2024-04-04 06:40:23
@article{a17f91fd-ad40-4afd-98c1-5ffc779ed7c9,
abstract = {{<p>Convection-enhanced delivery is a technique to bypass the blood–brain barrier and deliver therapeutic drugs into the brain tissue. However, animal investigations and preliminary clinical trials have reported reduced efficacy to transport the infused drug in specific zones, attributed mainly to backflow, in which an annular gap is formed outside the catheter and the fluid preferentially flows toward the surface of the brain rather than through the tissue in front of the cannula tip. In this study, a three-dimensional human brain finite element model of backflow was developed to study the influence of anatomical structures during flow-controlled infusions. Predictions of backflow length were compared under the influence of ventricular pressure and the distance between the cannula and the ventricles. Simulations with zero relative ventricle pressure displayed similar backflow length predictions for larger cannula-ventricle distances. In addition, infusions near the ventricles revealed smaller backflow length and the liquid was observed to escape to the longitudinal fissure and ventricular cavities. Simulations with larger cannula-ventricle distances and nonzero relative ventricular pressure showed an increase of fluid flow through the tissue and away from the ventricles. These results reveal the importance of considering both the subject-specific anatomical details and the nonlinear effects in models focused on analyzing current and potential treatment options associated with convection-enhanced delivery optimization for future clinical trials.</p>}},
author = {{Orozco, Gustavo A. and Smith, Joshua H. and García, José J.}},
issn = {{0954-4119}},
keywords = {{backflow; brain tumor; brain ventricles; Convection-enhanced delivery; finite element model}},
language = {{eng}},
month = {{09}},
number = {{9}},
pages = {{1018--1028}},
publisher = {{Mechanical Engineering Publications For The Institution Of Mechanical Engineers}},
series = {{Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine}},
title = {{Three-dimensional nonlinear finite element model to estimate backflow during flow-controlled infusions into the brain}},
url = {{http://dx.doi.org/10.1177/0954411920937220}},
doi = {{10.1177/0954411920937220}},
volume = {{234}},
year = {{2020}},
}