Prostate cancer is a hormone-dependent cancer characterized by two types of cancer cells, androgen-dependent cancer cells and androgen-resistant ones. The objective of this paper is to present a novel mathematical model for the treatment of prostate cancer under combined hormone therapy and brachytherapy. Using a system of partial differential equations, we quantify and study the evolution of the different cell densities involved in prostate cancer and their responses to the two treatments. Numerical simulations of tumor growth under different therapeutic strategies are explored and presented. The numerical simulations are carried out on FreeFem++ using a 2D finite element method
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44511/1/10555_2004_Article_203064.pd
textabstractThis thesis describes the characterization and further application of a model system for...
Previous studies on prostate cancer modeling under hormonal therapy successfully fit clinical serum ...
AbstractConsiderable research is aimed at determining the mechanisms by which hormone-refractory pro...
Chemotherapy is a common treatment for advanced prostate cancer. The standard approach relies on cyt...
Intermittent androgen deprivation therapy is often used to treat prostate cancer, but there are few ...
The aim of this work consists of finding a suitable numerical method for the solution of the mathema...
A mathematical model for the treatment of prostate cancer regarding androgen ablation is considered....
abstract: Predicting the timing of a castrate resistant prostate cancer is critical to lowering medi...
abstract: Background Androgens bind to the androgen receptor (AR) in prostate cells and are essentia...
Considerable research is aimed at determining the mechanisms by which hormone-refractory prostate ca...
This work demonstrates that prostate tumour progression in vivo can be analysed by using solutions o...
Recently, mathematical modeling and simulation of diseases and their treatments have enabled the pre...
Prostate cancer is the second most common cancer in men. Two-thirds of the cases are diagnosed in de...
Le cancer de la prostate est le deuxième plus fréquent cancer chez les hommes. La France occupe le t...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44511/1/10555_2004_Article_203064.pd
textabstractThis thesis describes the characterization and further application of a model system for...
Previous studies on prostate cancer modeling under hormonal therapy successfully fit clinical serum ...
AbstractConsiderable research is aimed at determining the mechanisms by which hormone-refractory pro...
Chemotherapy is a common treatment for advanced prostate cancer. The standard approach relies on cyt...
Intermittent androgen deprivation therapy is often used to treat prostate cancer, but there are few ...
The aim of this work consists of finding a suitable numerical method for the solution of the mathema...
A mathematical model for the treatment of prostate cancer regarding androgen ablation is considered....
abstract: Predicting the timing of a castrate resistant prostate cancer is critical to lowering medi...
abstract: Background Androgens bind to the androgen receptor (AR) in prostate cells and are essentia...
Considerable research is aimed at determining the mechanisms by which hormone-refractory prostate ca...
This work demonstrates that prostate tumour progression in vivo can be analysed by using solutions o...
Recently, mathematical modeling and simulation of diseases and their treatments have enabled the pre...
Prostate cancer is the second most common cancer in men. Two-thirds of the cases are diagnosed in de...
Le cancer de la prostate est le deuxième plus fréquent cancer chez les hommes. La France occupe le t...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44511/1/10555_2004_Article_203064.pd
textabstractThis thesis describes the characterization and further application of a model system for...
Previous studies on prostate cancer modeling under hormonal therapy successfully fit clinical serum ...