Highlights
- •The Dose Response Analysis Program (DREAP) is developed for biological modeling.
- •DREAP predicts radiation-induced cell population and organ biological responses.
- •DREAP allows the comparison of the treatment plan quality through DVH analysis.
- •DREAP provides a convenient environment for evaluating radiation-induced effects.
Abstract
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.
Keywords
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Article info
Publication history
Published online: July 11, 2019
Accepted:
June 25,
2019
Received in revised form:
June 18,
2019
Received:
April 30,
2019
Identification
Copyright
© 2019 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.
