Cancer Prediction Modeling from Volumetric Data

Author

Paltanea, Marius ; Tabirca, Sabin ; Tangney, Mark ; Chen, Yin Jie

Author_Institution

Dept. of Comput. Sci., Univ. Coll. Cork, Cork, Ireland

fYear

2009

fDate

26-29 Sept. 2009

Firstpage

162

Lastpage

167

Abstract

This paper introduces a method for cancer prediction based on the Fister-Panetta (FP) model for cancer growth.The FP equation includes a component for the tumor growth which describes its natural evolution without any treatment.The second component of the FP equation is represented by the contribution of the treatment scheme. Our prediction uses these two components to predict the evolution of the tumor in the near future. The prediction model uses the real information about the tumor growth in this two cases to find the best mathematical approximation with the FP equation. Then this equation is used to predict the evolution in the near future of the tumor.

Keywords

cancer; forecasting theory; mathematical analysis; patient treatment; FP equation; FP model; Fister-Panetta mode; cancer growth; cancer prediction modeling; mathematical approximation; treatment scheme; tumor growth; volumetric data; Biological system modeling; Cancer; Computer simulation; Educational institutions; Equations; Evolution (biology); Mathematical model; Mice; Neoplasms; Predictive models; Fister-Panetta model; prediction; tumor growth;

fLanguage

English

Publisher

ieee

Conference_Titel

Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2009 11th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4244-5910-0

Electronic_ISBN

978-1-4244-5911-7

Type

conf

DOI

10.1109/SYNASC.2009.36

Filename

5460854