TY - GEN
T1 - An interdisciplinary approach to brain tumor growth dynamics
AU - Torquato, Salvatore
AU - Deisboeck, Thomas S.
N1 - Funding Information:
results obtained under sponsored by National
Publisher Copyright:
© 2000 by ASME.
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85119844818&partnerID=8YFLogxK
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U2 - 10.1115/IMECE2000-1426
DO - 10.1115/IMECE2000-1426
M3 - Conference contribution
AN - SCOPUS:85119844818
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
SP - 111
EP - 115
BT - Heat Transfer
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2000 International Mechanical Engineering Congress and Exposition, IMECE 2000
Y2 - 5 November 2000 through 10 November 2000
ER -