An interdisciplinary approach to brain tumor growth dynamics

Salvatore Torquato, Thomas S. Deisboeck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Intensive medical research over the last fifty years has left the prognosis for patients diagnosed with malignant brain tumors nearly unchanged. This suggests that a new perspective on the problem may offer important insight. We have undertaken an interdisciplinary research program, seeking to study brain tumors as complex systems. This research aims to develop computational models coupled with experimental assays to investigate the hypothesis of selforganizing behavior in tumor systems. Preliminary assays have revealed behavior consistent with this hypothesis. A cellular-automaton model to study the growth of the tumor core has been developed. This model has proven successful in reproducing macroscopic tumor growth from a limited parameter set. Further, it has been applied to investigate the importance of heterogeneity to determination of a clinical prognosis and has demonstrated the importance of understanding clonal composition in making an accurate prognosis.

Original languageEnglish (US)
Title of host publicationHeat Transfer
Subtitle of host publicationVolume 2
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages111-115
Number of pages5
ISBN (Electronic)9780791826607
DOIs
StatePublished - 2000
Externally publishedYes
EventASME 2000 International Mechanical Engineering Congress and Exposition, IMECE 2000 - Orlando, United States
Duration: Nov 5 2000Nov 10 2000

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume2000-T

Conference

ConferenceASME 2000 International Mechanical Engineering Congress and Exposition, IMECE 2000
Country/TerritoryUnited States
CityOrlando
Period11/5/0011/10/00

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

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