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Biphasic modeling of brain tumor biomechanics and response to radiation treatment

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... Full description

Journal Title: Journal of biomechanics 2016, Vol.49 (9), p.1524-1531
Main Author: Angeli, Stelios
Other Authors: Stylianopoulos, Triantafyllos
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: United States: Elsevier Ltd
ID: ISSN: 0021-9290
Link: https://www.ncbi.nlm.nih.gov/pubmed/27086116
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recordid: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4921059
title: Biphasic modeling of brain tumor biomechanics and response to radiation treatment
format: Article
creator:
  • Angeli, Stelios
  • Stylianopoulos, Triantafyllos
subjects:
  • Analysis
  • Article
  • Biological
  • biological model
  • Biomechanical Phenomena
  • Biomechanical Phenomena - radiation effects
  • Biomechanics
  • Brain
  • Brain cancer
  • Brain Neoplasms
  • Brain Neoplasms - pathology
  • Brain Neoplasms - radiotherapy
  • Brain research
  • brain tumor
  • Brain tumors
  • Cancer
  • cancer cell
  • cancer radiotherapy
  • Cell growth
  • Cell proliferation
  • Cell Proliferation - radiation effects
  • cell survival
  • Cerebrospinal fluid
  • Conflicts of interest
  • controlled study
  • dimensional model
  • Diseases
  • elasticity
  • extracellular fluid
  • Extracellular Fluid - radiation effects
  • Fluid pressure
  • gray matter
  • Growth models
  • Heterogeneous distributions
  • Histology
  • human
  • human cell
  • human experiment
  • human tissue
  • Humans
  • Image reconstruction
  • Interstitial fluid pressure
  • Interstitial fluid pressures
  • Interstitials
  • intratumoral fluid pressure
  • Magnetic resonance
  • Magnetic resonance imaging
  • Masks
  • mathematical analysis
  • Mathematical modeling
  • Mathematical models
  • Mechanical engineering
  • Mechanical interactions
  • Mechanical Phenomena
  • Mechanical Phenomena - radiation effects
  • mechanics
  • Models
  • Models, Biological
  • normal human
  • nuclear magnetic resonance imaging
  • nuclear magnetic resonance scanner
  • pathology
  • Physical Medicine and Rehabilitation
  • Poro
  • Poro-elasticity
  • prediction
  • Pressure
  • priority journal
  • Radiation
  • radiation response
  • Radiation treatments
  • Radiotherapy
  • Solid stress
  • spatial analysis
  • Stresses
  • therapy effect
  • Three
  • three dimensional imaging
  • Tissue
  • tissue growth
  • tissue pressure
  • Treatment Outcome
  • treatment response
  • tumor growth
  • Tumor progressions
  • Tumors
  • white matter
ispartof: Journal of biomechanics, 2016, Vol.49 (9), p.1524-1531
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.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0021-9290
fulltext: fulltext
issn:
  • 0021-9290
  • 1873-2380
url: Link


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descriptionAbstract 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.
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languageeng
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subjectAnalysis ; Article ; Biological ; biological model ; Biomechanical Phenomena ; Biomechanical Phenomena - radiation effects ; Biomechanics ; Brain ; Brain cancer ; Brain Neoplasms ; Brain Neoplasms - pathology ; Brain Neoplasms - radiotherapy ; Brain research ; brain tumor ; Brain tumors ; Cancer ; cancer cell ; cancer radiotherapy ; Cell growth ; Cell proliferation ; Cell Proliferation - radiation effects ; cell survival ; Cerebrospinal fluid ; Conflicts of interest ; controlled study ; dimensional model ; Diseases ; elasticity ; extracellular fluid ; Extracellular Fluid - radiation effects ; Fluid pressure ; gray matter ; Growth models ; Heterogeneous distributions ; Histology ; human ; human cell ; human experiment ; human tissue ; Humans ; Image reconstruction ; Interstitial fluid pressure ; Interstitial fluid pressures ; Interstitials ; intratumoral fluid pressure ; Magnetic resonance ; Magnetic resonance imaging ; Masks ; mathematical analysis ; Mathematical modeling ; Mathematical models ; Mechanical engineering ; Mechanical interactions ; Mechanical Phenomena ; Mechanical Phenomena - radiation effects ; mechanics ; Models ; Models, Biological ; normal human ; nuclear magnetic resonance imaging ; nuclear magnetic resonance scanner ; pathology ; Physical Medicine and Rehabilitation ; Poro ; Poro-elasticity ; prediction ; Pressure ; priority journal ; Radiation ; radiation response ; Radiation treatments ; Radiotherapy ; Solid stress ; spatial analysis ; Stresses ; therapy effect ; Three ; three dimensional imaging ; Tissue ; tissue growth ; tissue pressure ; Treatment Outcome ; treatment response ; tumor growth ; Tumor progressions ; Tumors ; white matter
ispartofJournal of biomechanics, 2016, Vol.49 (9), p.1524-1531
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descriptionAbstract 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.
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8Brain cancer
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69radiation response
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75therapy effect
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abstractAbstract 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.
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