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ОПИСАНИЕ

Klepper Lev
Центральный экономико-математический институт РАН, klepper@m9com.ru

APPLICATION of COMPUTER TECHNOLOGY FOR OPTIMAL RADIOTHERAPY PLANNING of MALIGNANT TUMOURS

APPLICATION of COMPUTER TECHNOLOGY FOR OPTIMAL RADIOTHERAPY PLANNING of MALIGNANT TUMOURS

L.Ya. Klepper, E.V. Molchanova

Central Economic and Mathematical institute of the Russian Academy of Science (CEMI RAS), Moscow

Radiation therapy (RT) is a versatile medical speciality in which modern information technologies play an important role at construction of an optimal plan RT treatment.
The purpose of our research consists of developing of mathematical models (MM) and program systems (PS) for calculation of tolerant doses depending on volumes of the irradiated tissue and schemes fractionation of doses and also opportunities of their application for calculation of tissue complication probability (TCP).
One of the mathematical models which is most widespread now, for the description of tolerant doses at various schemes fractionation of doses (FD), the linearly-square-law model (LQ-model) based on application of LQ-function is used. On its basis we have been developed MLQ model (the modified linearly-square-law model) which allows to count TCP as functions from three parameters: a single dose, a total dose and volume of the irradiated tissue. Any of three listed parameters can be expressed through values of other parameters.
We have suggested to enter such important parameters, as volume of the irradiated tissue and a unitary dose into LQ-model for creation of MLQ-model. The unitary dose can be easily connected with developed MM for calculation TCP in a tissue. As a result of the lead researches the special system of the programs has been developed, allowing to adjust MLQ model on any clinical information. Determination of parameters MLQ was made on the basis of the systematized clinical data about radial reactions of skin to irradiation.
Results of the lead researches have shown, that MLQ the model describes well clinical data. It can be used by radiologists in modern clinics for planning RT of malignant tumours.


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