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

18 Citations (Scopus)

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1016/j.ijrobp.2012.07.777

Cite this

@article{d04315a5e78c470c9f25836e50bbf2d8,

title = "A New Mathematical Model to Simulate the Progression of Brain Metastasis",

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",

year = "2012",

month = nov,

day = "1",

doi = "10.1016/j.ijrobp.2012.07.777",

language = "English",

volume = "84",

pages = "297–298",

journal = "Radiation Oncology",

issn = "1748-717X",

publisher = "BioMed Central Ltd",

number = "3",

}

TY - JOUR

T1 - A New Mathematical Model to Simulate the Progression of Brain Metastasis

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

VL - 84

SP - 297

EP - 298

JO - Radiation Oncology

JF - Radiation Oncology

IS - 3

ER -

A New Mathematical Model to Simulate the Progression of Brain Metastasis

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this