Coupling tumor growth and bio distribution models.
We couple a tumor growth model embedded in a microenvironment, with a bio distribution model able to simulate a whole organ. The growth model yields the evolution of tumor cell population, of the differential pressure between cell populations, of porosity of ECM, of consumption of nutrients due to t...
| Publicado en: | Biomedical Microdevices Vol. 21; no. 2 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136256472&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136256472 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13872176 ODN jtl: Biomedical Microdevices issn: 13872176 maglogo: N pubinfo: dt: Jun2019 vid: 21 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136256472 10.1007/s10544-019-0368-y 136256472 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Coupling tumor growth and bio distribution models. aug: au: Santagiuliana, Raffaella Milosevic, Miljan Milicevic, Bogdan Sciumè, Giuseppe Simic, Vladimir Ziemys, Arturas Kojic, Milos Schrefler, Bernhard A. affil: Department of Civil, Environmental and Architectural Engineering, University of Padova, via Marzolo 9, 35131, Padova, Italy sug: ab: We couple a tumor growth model embedded in a microenvironment, with a bio distribution model able to simulate a whole organ. The growth model yields the evolution of tumor cell population, of the differential pressure between cell populations, of porosity of ECM, of consumption of nutrients due to tumor growth, of angiogenesis, and related growth factors as function of the locally available nutrient. The bio distribution model on the other hand operates on a frozen geometry but yields a much refined distribution of nutrient and other molecules. The combination of both models will enable simulating the growth of a tumor in a whole organ, including a realistic distribution of therapeutic agents and allow hence to evaluate the efficacy of these agents. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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