Evidence map›Paper›PMID 21842423›Full record

ArticleMedical & biological engineering & computing2011

Numerical study of nanofluid infusion in deformable tissues for hyperthermia cancer treatments.

Di Su, Ronghui Ma, Liang Zhu

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
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  10. Identifying relevant group of miRNAs in cancer using fuzzy mutual information.Medical & biological engineering & computing · 2016
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4 · The record

Corrections and comments

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 at 1 institution in 1 country.

Di SuDepartment of Mechanical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Ronghui Ma
Liang Zhu
University of Maryland, Baltimore County · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct infusion by means of needles is one of the widely used methods for the delivery of nanoparticles in tumors for hyperthermia cancer treatments. During an infusion process, infusion-induced deformation can substantially affect the dispersion of the nanoparticles injected in a biological tissue. In this study, a poroelastic model is developed to investigate fluid transport and flow-induced tissue deformation in a tumor during an infusion process. A surface tracking technique is employed to predict the shape of nanofluid spreading after injection. The model is then used to simulate the formation of backflow and the change of tissue porosity due to the deformation. Specifically, we quantify the influence of the backflow on the spreading shape of the nanofluid and its dependence on injection parameters such as infusion rates, needle diameters, and tumor elastic properties. It is found that backflow is an important factor causing an irregular distribution of the nanofluid injected in a tumor. A higher infusion rate, larger needle diameter, and lower elastic modulus yield a longer backflow length and cause a more irregular spreading shape of the nanofluid. The infusion-induced tissue deformation also leads to a pore swelling and an increase of the porosity in the vicinity of the needle tip and the needle outer surface. It is anticipated that the increased pore size may facilitate the particle penetration in a tumor. To achieve a controlled heat generation, the injection parameters should be selected judiciously with the consideration of tumor sizes, tumor properties, and thresholds at which tumors break under the infusion pressure.

Indexed as

Models, BiologicalHumansHyperthermia, InducedInfusions, IntralesionalNanoparticlesNeoplasmsRheology

Identifiers

PMID21842423
OpenAlexW1968612832

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.