ArticleMedical & biological engineering & computing2011
Numerical study of nanofluid infusion in deformable tissues for hyperthermia cancer treatments.
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.
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Who cites it
12 citing papers in PubMed, 67 citations in OpenAlex.
- Nanomaterials Application for STING Pathway-Based Tumor Immunotherapy.International journal of nanomedicine · 2025Review
- Finite Element Simulation of Interstitial-Lymphatic Fluid Flow and Nanodrug Transport in a Solid Tumor: An Intratumoral Injection Approach.BME frontiers · 2025Article
- Analysis of Microbubble-Blood cell system Oscillation/Cavitation influenced by ultrasound Forces: Conjugate applications of FEM and LBM.Ultrasonics sonochemistry · 2024Article
- Impact of Injection-Based Delivery Parameters on Local Distribution Volume of Ethyl-Cellulose Ethanol Gel in Tissue and Tissue Mimicking Phantoms.IEEE transactions on bio-medical engineering · 2024Article
- Multiscale Modelling of Nanoparticle Distribution in a Realistic Tumour Geometry Following Local Injection.Cancers · 2022Article
- Modelling of Nanoparticle Distribution in a Spherical Tumour during and Following Local Injection.Pharmaceutics · 2022Article
- Insights into Infusion-Based Targeted Drug Delivery in the Brain: Perspectives, Challenges and Opportunities.International journal of molecular sciences · 2022Review
- Effect of tissue permeability and drug diffusion anisotropy on convection-enhanced delivery.Drug delivery · 2019Article
- A quantitative study of nanoparticle skin penetration with interactive segmentation.Medical & biological engineering & computing · 2016Article
- Identifying relevant group of miRNAs in cancer using fuzzy mutual information.Medical & biological engineering & computing · 2016Article
- Influence of hyperthermia on efficacy and uptake of carbon nanohorn-cisplatin conjugates.Journal of biomechanical engineering · 2014Article
- Adapting source grid parameters to improve the condition of the magnetostatic linear inverse problem of estimating nanoparticle distributions.Medical & biological engineering & computing · 2012Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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