Purpose: To development of the methods of the estimation quality, systematized clinical information, which is described in the manner of probability of the arising the NTCP (complications in tissues) depending on volume of the irradiation and sharing the dose their uniform and heterogeneous irradiation. Material and methods: Used designed mathematical models for calculation of NTCP and mathematical models, which allow to calculate reduction values of the identical doses of the uniform irradiation tissues equivalent on probability of the arising the beam complication to heterogeneous sharing the doses. Results: Method of increasing to precision of the estimation to consensus systematized clinical information, founded on its presentation in the manner of differential histogram dose-volume, and on reductions heterogeneous doses distribution in identical dose all-out and uniform irradiation tissue. Conclusion: It is shown that designed method of the estimation of the heterogeneous sharing the dose by way of his adduction to equivalent, on probability of the arising the beam complications in tissues, all-out irradiations tissues, allows to raise accuracy of the calculation of the identical dose of the source lumpy distribution tolerants doses. She allows to raise precision of the estimation to consensus systematized clinical values of tolerant doses, received of specialist.

Purpose: In 1988 Withers H.R., Taylor J.M., Maciejewski B., proposed a hypothesis about the cellular structure of normal body tissues, according to which their radioresistance is determined by the presence of functional cellular units (FСU) in them. But, unfortunately, in their work there was no substantiation of this hypothesis. In our work, we substantiate the hypothesis that tumor tissue contains structured tissue-like formations (TLF) from malignant cells that determine its radioresistance. The success of radiation therapy is determined both by the destruction of TLF and the death of their fragments and free clonogenic cells formed as a result of the breakdown of TLF. Material and methods: To substantiate the hypothesis, mathematical models were created that made it possible to describe the results of radiation exposure to squamous cell carcinoma of the larynx (CL) and breast cancer (BC) after surgical removal of the BC tumor and total irradiation of breast to destroy cells that could migrate from tumor. For segregation of the parameters values that characterize the radiosensitivity of the tumor and for plotting a dose-response curve, a special method was developed for Reconstruction the Radiobiological Tumor Parameters (RRTP), based on the Poisson mathematical model and other mathematical models used in radiation therapy planning. Results: Dependencies of radiobiological parameters on the dose were plotted using the RRTP method: 1. Dependence of the number of tumor units N on the dose, which include TLF, TLF fragments and independent tumor cells formed as a result of TLF decay after irradiation. 2. Dependence of the radiobiological parameter t (D,d) Gy–1 on the total dose and dose per fraction. 3. Dependence of the radiobiological parameter g (D,d) Gy on total dose and dose per fraction. In this paper, it is shown that for CL the number of tumor units N and the parameter t (D,d) are increasing functions of the dose D. This confirms the hypothesis that CL consists of TLF, which, after irradiation, decompose into TLF fragments and independent tumor cells. For breast cancer, it was found, as expected, that the number of tumor units N is a decreasing function of the dose D, i.e., that there are no TLF formations in breast cancer. Conclusion: The hypothesis that the CL tumor contains TPO formations from malignant cells, which increase its radioresistance was confirmed. At a dose close to the therapeutic dose, the number of tumor units becomes close to the number of all tumor cells.

ОПУХОЛИ ЖЕНСКОЙ РЕПРОДУКТИВНОЙ СИСТЕМЫ TUMORS OF FEMALE REPRODUCTIVE SYSTEM

No abstract

The article deals with the choice of the optimal plan of irradiation of systems "tumor+normal (healthy) tissue of the body" in the planning of radiation therapy of malignant tumors using synthesized mathematical models