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.

Originalsprache	Englisch
Zeitschrift	Radiation Oncology
Jahrgang	84
Ausgabenummer	3
Seiten (von - bis)	297–298
Seitenumfang	2
DOIs	https://doi.org/10.1016/j.ijrobp.2012.07.777
Publikationsstatus	Veröffentlicht - 01.11.2012

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10.1016/j.ijrobp.2012.07.777

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

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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.",

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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

EP - 298

JO - Radiation Oncology

JF - Radiation Oncology

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A New Mathematical Model to Simulate the Progression of Brain Metastasis

Abstract

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