Comput Math Methods Med - Computer implementation of a new therapeutic model for GBM tumor.

Tópicos

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Resumo

Modeling the tumor behavior in the host organ as function of time and radiation dose has been a major study in the previous decades. Here the effort in estimation of cancerous and normal cell proliferation and growth in glioblastoma multiform (GBM) tumor is presented. This paper introduces a new mathematical model in the form of differential equation of tumor growth. The model contains dose delivery amount in the treatment scheme as an input term. It also can be utilized to optimize the treatment process in order to increase the patient survival period. Gene expression programming (GEP) as a new concept is used for estimating this model. The LQ model has also been applied to GEP as an initial value, causing acceleration and improvement of the algorithm estimation. The model shows the number of the tumor and normal brain cells during the treatment process using the status of normal and cancerous cells in the initiation of treatment, the timing and amount of dose delivery to the patient, and a coefficient that describes the brain condition. A critical level is defined for normal cell when the patient's death occurs. In the end the model has been verified by clinical data obtained from previous accepted formulae and some of our experimental resources. The proposed model helps to predict tumor growth during treatment process in which further treatment processes can be controlled.

Resumo Limpo

model tumor behavior host organ function time radiat dose major studi previous decad effort estim cancer normal cell prolifer growth glioblastoma multiform gbm tumor present paper introduc new mathemat model form differenti equat tumor growth model contain dose deliveri amount treatment scheme input term also can util optim treatment process order increas patient surviv period gene express program gep new concept use estim model lq model also appli gep initi valu caus acceler improv algorithm estim model show number tumor normal brain cell treatment process use status normal cancer cell initi treatment time amount dose deliveri patient coeffici describ brain condit critic level defin normal cell patient death occur end model verifi clinic data obtain previous accept formula experiment resourc propos model help predict tumor growth treatment process treatment process can control

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