Dose response analysis program (DREAP): A user-friendly program for the analyses of radiation-induced biological responses utilizing established deterministic models at cell population and organ scales
| Autor: | Won-Gyun Jung, Kyung-Nam Lee |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
Validation study Time Factors Biological modeling Response analysis Population Biophysics General Physics and Astronomy Radiation induced General Medicine Models Theoretical Trustworthiness Statistics Calibration Relative biological effectiveness Radiology Nuclear Medicine and imaging Fraction (mathematics) education Relative Biological Effectiveness Mathematics Probability |
| Zdroj: | Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 64 |
| ISSN: | 1724-191X |
| Popis: | Purpose To develop a user-friendly program for biological modeling to analyze radiation-induced responses at the scales of the cell population and organ. Methods The program offers five established cell population surviving fraction (SF) models to estimate the SF and the relative biological effectiveness (RBE) from clonogenic assay data, and two established models to calculate the normal tissue complication probability (NTCP) and tumor control probability (TCP) from radiation treatment plans. Users can also verify the results with multiple types of quantitative analyses and graphical representation tools. Results Users can verify the estimated SF, model parameters, RBE, and the respective uncertainties in the calculations of the SF and RBE modes. The qualities of the treatment plans can also be compared with at most three rival plans in terms of the NTCP, TCP, uncomplicated TCP (UCP), and user-dependent weight-based UCP (UUCP), in the calculation of the NTCP and TCP modes. Based on the validation study on accuracy and speed, the averaged mean relative errors (MREs) of the estimated parameters for all tested cell lines were not higher than 0.3% in each of the studied SF models, and the averaged MREs of the calculated NTCP and TCP for all tested treatment plans were not higher than 0.1%. The computation times for SF, RBE, NTCP, and TCP were less than 1.5 s. Conclusions The dose response analysis program can provide a trustworthy and convenient environment for researchers to analyze radiation-induced biological effects. |
| Databáze: | OpenAIRE |
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