A New Mathematical Model to Simulate the Progression of Brain Metastasis

S. Becker; K. Popp; A. Mang; T. A. Schütz; A. Toma; J. Dunst; T. M. Buzug; D. Rades

doi:10.1016/j.ijrobp.2012.07.777

A New Mathematical Model to Simulate the Progression of Brain Metastasis

S. Becker, K. Popp, A. Mang, T. A. Schütz, A. Toma, J. Dunst, T. M. Buzug, D. Rades

Graduate School for Computing in Medicine and Live Science

Abstract

Currently, no quantitative approach does exist for describing spatial heterogeneous patterns of tumor progression and formation of a recurrent tumor. Mathematical models of tumor progression may provide valuable and complementary information for physicians regarding the spatio-temporal dynamics of such tumors. They can help identify predictive factors of tumor invasion and can help to adapt the safety margin of radiation therapy. The present work introduces a new model to simulate the progression of brain metastasis.

Original language	English
Journal	Radiation Oncology
Volume	84
Issue number	3
Pages (from-to)	297–298
Number of pages	2
DOIs	https://doi.org/10.1016/j.ijrobp.2012.07.777
Publication status	Published - 01.11.2012

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10.1016/j.ijrobp.2012.07.777

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abstract = "Currently, no quantitative approach does exist for describing spatial heterogeneous patterns of tumor progression and formation of a recurrent tumor. Mathematical models of tumor progression may provide valuable and complementary information for physicians regarding the spatio-temporal dynamics of such tumors. They can help identify predictive factors of tumor invasion and can help to adapt the safety margin of radiation therapy. The present work introduces a new model to simulate the progression of brain metastasis.",

author = "S. Becker and K. Popp and A. Mang and Sch{\"u}tz, {T. A.} and A. Toma and J. Dunst and Buzug, {T. M.} and D. Rades",

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AU - Becker, S.

AU - Popp, K.

AU - Mang, A.

AU - Schütz, T. A.

AU - Toma, A.

AU - Dunst, J.

AU - Buzug, T. M.

AU - Rades, D.

PY - 2012/11/1

Y1 - 2012/11/1

N2 - Currently, no quantitative approach does exist for describing spatial heterogeneous patterns of tumor progression and formation of a recurrent tumor. Mathematical models of tumor progression may provide valuable and complementary information for physicians regarding the spatio-temporal dynamics of such tumors. They can help identify predictive factors of tumor invasion and can help to adapt the safety margin of radiation therapy. The present work introduces a new model to simulate the progression of brain metastasis.

AB - Currently, no quantitative approach does exist for describing spatial heterogeneous patterns of tumor progression and formation of a recurrent tumor. Mathematical models of tumor progression may provide valuable and complementary information for physicians regarding the spatio-temporal dynamics of such tumors. They can help identify predictive factors of tumor invasion and can help to adapt the safety margin of radiation therapy. The present work introduces a new model to simulate the progression of brain metastasis.

UR - https://www.redjournal.org/article/S0360-3016(12)01721-X/fulltext

U2 - 10.1016/j.ijrobp.2012.07.777

DO - 10.1016/j.ijrobp.2012.07.777

M3 - Journal articles

SN - 1748-717X

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SP - 297

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JO - Radiation Oncology

JF - Radiation Oncology

IS - 3

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A New Mathematical Model to Simulate the Progression of Brain Metastasis

Abstract

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