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

Egleide Y Elenes, Manuel K Rausch, Christopher G Rylander

Abstract read

In one paragraph

Article in Journal of engineering and science in medical diagnostics and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Convection-enhanced delivery with controlled catheter movement: A parametric finite element analysis.International journal for numerical methods in biomedical engineering · 2022
Article

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Egleide Y ElenesDepartment of Biomedical Engineering, University of Texas at Austin, 107 W. Dean Keeton Street, Stop C0800, Austin, TX 78712 e-mail: eelenes@utexas.edu.

Manuel K RauschDepartment 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.

Christopher G RylanderDepartment 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.

Funding

Sub-component for Institution # 16-01848 Novel moleculary targeted therapy of GBMP01CA207206 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEBINSKI, WALDEMAR · 2017 to 2021

$9.0M

NCI NIH HHS P01 CA207206

6 · The paper itself

Abstract

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 T

Indexed as

agarose gelbiphasic finite element analysisconvection-enhanced deliveryinfusionmultiport cathetersolute transport

Identifiers

PMID35833170

DOI10.1115/1.4042874

PMCPMC8597557

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.