Abstract
This article is devoted to the problem of a high level of oncological diseases of the population of the Republic of Kazakhstan. The analysis of the presented statistical data indicates an annual increase in the number of detection of registered oncological diseases in the population of the Republic of Kazakhstan. With regard to our region, the annual increase in the number of cancer detection in the population of the Abai region, which is undoubtedly due to the existence of the former Semipalatinsk nuclear test site on this territory, leads to the need for further research to improve the prediction of the treatment process of patients with cancer. Currently, the method of radioiodotherapy presented in the work is actively used for the treatment of oncological diseases, and in particular thyroid cancer. This method of treatment allows you to destroy cancer cells, surgical removal of which is not possible. An accurate calculation of the activity of the drug to be taken by the patient allows you to reduce the dose load on the patient and at the same time achieve the desired therapeutic effect. The paper presents formulas that are used to calculate the radiation dose of patients for the successful treatment of thyroid cancer. This method of treatment is carried out in the department of "Radionuclide Therapy" of the Center for Nuclear Medicine and Oncology of Semey.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Bulletin of Shakarim University. Technical Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
