Creation of a database of radiobiological parameters of tumors and normal tissues based on clinical data of photon and neutron radiation therapy

Background. Radiotherapy is one of the primary methods for treating malignant neoplasms, and its effectiveness depends on the ratio of radiation doses absorbed by tumor and healthy cells. The quality of a dosimetric plan is traditionally assessed based on physical and dosimetric criteria; however, radiobiological aspects should be taken into account to achieve the maximum predicted therapeutic effect. The existing variety of radiobiological models and the lack of a unifed approach to systematizing their numerical parameters hinder their practical application, making the creation of a specialized database a relevant task.
Objective: to develop a database of clinically signifcant radiobiological parameters for tumors and normal tissues for photon and neutron therapy as a unifed specialized tool to improve the accuracy of dosimetric planning and predict clinical treatment outcomes for malignant neoplasms.
Material and Methods. An analysis of more than 100 scientifc publications from open sources dedicated to the calculation of clinically signifcant radiobiological parameters of widely used radiobiological models was conducted. During the study, data were systematized considering various fractionation regimens, radiation energy and type, radiotherapy techniques, localization and volume of the irradiated area, as well as individual patient characteristics.
Results. A database of clinically signifcant radiobiological parameters for photon and neutron therapy was created. Based on the structured data, a web application was developed using the Python and JavaScript programming languages. The web application is integrated into the “TCP/NTCP Calculator” software and provides capabilities for storage, rapid search, and analysis of radiobiological parameters.
Conclusion. The created database systematizes clinically signifcant radiobiological parameters and provides specialists with a unifed tool for predicting probable treatment outcomes and assessing the risk of adverse effects on critical organs and tissues. This tool can be used in clinical practice, educational programs for training specialists in medical physics and radiotherapy, as well as for the in-depth study of radiobiological effects and the development of new treatment methods.

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