Examination of logistic mathematical models and providing an appropriate response for treatment of cancerous tumors

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Zobdeh Parviz; SARDARI DARIUSH

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Payesh Year:2019 | Volume:18 | Issue:2 Page(s): 149-159

Download Full-Text

Persian Verion

View:

1,210

Download:

Cites:

Information Journal Paper

Title

Examination of logistic mathematical models and providing an appropriate response for treatment of cancerous tumors

Author(s)

Zobdeh Parviz | SARDARI DARIUSH | Issue Writer Certificate

Keywords

TreatmentQ3

Tumor growthQ1

CancerQ2

logistic mathematical modelsQ1

ControlQ2

Abstract

Objective (s): In this research, we examined the different mathematical models of Cancerous Tumor growth and compared several models to calculate and evaluate the response of the growth logistic model to the specific growth rate conditions. Methods: The growth rate was simulated by considering it as a function of time (linear, exponential growth, and linear growth-decay). Responses were obtained by using Range-Kutta's numerical solution method. Results: The general response is the logistic growth curve, but the external factors in the Treatment can be Controlled to optimally respond of model. The optimal conditions for Controlling the growth of the tumor obtained by the linear growth ratedecay for the constants 0. 1 1 k  and 1 2 k  . Conclusion: Solid tumor structure is associated with a decrease in the stage of growth of the cells prior to angiogenesis. Increasing lagging agents such as accelerating immunological response during exponential growth functions can Control Tumor growth. The numerical results obtained in this study can provide an optimal therapeutic strategy by reducing the volume of primary Cancer by calculating angiogenic inhibitors. Also, by analyzing pathology, mechanical properties of Tumor growth, cellular adaptation and therapeutic resistance, we can overcome some of the previous constraints in the general growth model.

Cites

No record.

References

No record.

Cite

APA: Copy

Zobdeh, Parviz, & SARDARI, DARIUSH. (2019). Examination of logistic mathematical models and providing an appropriate response for treatment of cancerous tumors. PAYESH, 18(2 ), 149-159. SID. https://sid.ir/paper/23452/en

Vancouver: Copy

Zobdeh Parviz, SARDARI DARIUSH. Examination of logistic mathematical models and providing an appropriate response for treatment of cancerous tumors. PAYESH[Internet]. 2019;18(2 ):149-159. Available from: https://sid.ir/paper/23452/en

IEEE: Copy

Parviz Zobdeh, and DARIUSH SARDARI, “Examination of logistic mathematical models and providing an appropriate response for treatment of cancerous tumors,” PAYESH, vol. 18, no. 2 , pp. 149–159, 2019, [Online]. Available: https://sid.ir/paper/23452/en

Related Journal Papers