dc.contributor.author | Angeli, S. | en |
dc.contributor.author | Stylianopoulos, T. | en |
dc.creator | Angeli, S. | en |
dc.creator | Stylianopoulos, T. | en |
dc.date.accessioned | 2019-05-06T12:23:20Z | |
dc.date.available | 2019-05-06T12:23:20Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/48214 | |
dc.description.abstract | Biomechanical forces are central in tumor progression and response to treatment. This becomes more important in brain cancers where tumors are surrounded by tissues with different mechanical properties. Existing mathematical models ignore direct mechanical interactions of the tumor with the normal brain. Here, we developed a clinically relevant model, which predicts tumor growth accounting directly for mechanical interactions. A three-dimensional model of the gray and white matter and the cerebrospinal fluid was constructed from magnetic resonance images of a normal brain. Subsequently, a biphasic tissue growth theory for an initial tumor seed was employed, incorporating the effects of radiotherapy. Additionally, three different sets of brain tissue properties taken from the literature were used to investigate their effect on tumor growth. Results show the evolution of solid stress and interstitial fluid pressure within the tumor and the normal brain. Heterogeneous distribution of the solid stress exerted on the tumor resulted in a 35% spatial variation in cancer cell proliferation. Interestingly, the model predicted that distant from the tumor, normal tissues still undergo significant deformations while it was found that intratumoral fluid pressure is elevated. Our predictions relate to clinical symptoms of brain cancers and present useful tools for therapy planning. © 2016 Elsevier Ltd. | en |
dc.language.iso | eng | en |
dc.source | Journal of Biomechanics | en |
dc.subject | Mathematical models | en |
dc.subject | Models | en |
dc.subject | human | en |
dc.subject | Brain Neoplasms | en |
dc.subject | Humans | en |
dc.subject | controlled study | en |
dc.subject | prediction | en |
dc.subject | priority journal | en |
dc.subject | human tissue | en |
dc.subject | treatment outcome | en |
dc.subject | cancer radiotherapy | en |
dc.subject | brain tumor | en |
dc.subject | biological model | en |
dc.subject | Radiotherapy | en |
dc.subject | therapy effect | en |
dc.subject | pathology | en |
dc.subject | tumor growth | en |
dc.subject | nuclear magnetic resonance imaging | en |
dc.subject | treatment response | en |
dc.subject | Article | en |
dc.subject | Biological | en |
dc.subject | cancer cell | en |
dc.subject | human cell | en |
dc.subject | cell survival | en |
dc.subject | Magnetic resonance imaging | en |
dc.subject | white matter | en |
dc.subject | three dimensional imaging | en |
dc.subject | Magnetic resonance | en |
dc.subject | Cell proliferation | en |
dc.subject | Poro-elasticity | en |
dc.subject | Tumors | en |
dc.subject | Brain | en |
dc.subject | Interstitial fluid pressure | en |
dc.subject | Interstitial fluid pressures | en |
dc.subject | Solid stress | en |
dc.subject | Tissue | en |
dc.subject | Biomechanical Phenomena | en |
dc.subject | Biomechanics | en |
dc.subject | Cerebrospinal fluid | en |
dc.subject | Diseases | en |
dc.subject | extracellular fluid | en |
dc.subject | gray matter | en |
dc.subject | Heterogeneous distributions | en |
dc.subject | Histology | en |
dc.subject | human experiment | en |
dc.subject | Image reconstruction | en |
dc.subject | intratumoral fluid pressure | en |
dc.subject | mathematical analysis | en |
dc.subject | Mathematical modeling | en |
dc.subject | Mechanical interactions | en |
dc.subject | Mechanical Phenomena | en |
dc.subject | mechanics | en |
dc.subject | normal human | en |
dc.subject | nuclear magnetic resonance scanner | en |
dc.subject | pressure | en |
dc.subject | radiation response | en |
dc.subject | Radiation treatments | en |
dc.subject | spatial analysis | en |
dc.subject | Three-dimensional model | en |
dc.subject | tissue growth | en |
dc.subject | tissue pressure | en |
dc.subject | Tumor progressions | en |
dc.title | Biphasic modeling of brain tumor biomechanics and response to radiation treatment | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.jbiomech.2016.03.029 | |
dc.description.volume | 49 | |
dc.description.startingpage | 1524 | |
dc.description.endingpage | 1531 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering | |
dc.type.uhtype | Article | en |
dc.contributor.orcid | Stylianopoulos, T. [0000-0002-3093-1696] | |
dc.description.totalnumpages | 1524-1531 | |
dc.gnosis.orcid | 0000-0002-3093-1696 | |