HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Health Sciences / Faculty of Health Sciences >
Peer-reviewed Journal Articles, etc >

Markov chain Monte Carlo analysis for the selection of a cell-killing model under high-dose-rate irradiation

Files in This Item:
Med phys_44(10)_5522-5532.pdf1.22 MBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/71771

Title: Markov chain Monte Carlo analysis for the selection of a cell-killing model under high-dose-rate irradiation
Authors: Matsuya, Yusuke Browse this author
Kimura, Takaaki Browse this author
Date, Hiroyuki Browse this author →KAKEN DB
Keywords: dose-delivery time
fractionated irradiation
linear-quadratic model
Markov chain Monte Carlo simulation
microdosimetric-kinetic model
Issue Date: Oct-2017
Publisher: John Wiley & Sons
Journal Title: Medical physics
Volume: 44
Issue: 10
Start Page: 5522
End Page: 5532
Publisher DOI: 10.1002/mp.12508
PMID: 28786486
Abstract: Purpose: High-dose-rate irradiation with 6 MV linac x rays is a wide-spread means to treat cancer tissue in radiotherapy. The treatment planning relies on a mathematical description of surviving fraction (SF), such as the linear-quadratic model (LQM) formula. However, even in the case of high-dose-rate treatment, the repair kinetics of DNA damage during dose-delivery time plays a function in predicting the dose-SF relation. This may call the SF model selection into question when considering the dose-delivery time or dose-rate effects (DREs) in radiotherapy and invitro cell experiments. In this study, we demonstrate the importance of dose-delivery time at high-dose-rate irradiations used in radiotherapy by means of Bayesian estimation. Methods: To evaluate the model selection for SF, three types of models, the LQM and two microdosimetric-kinetic models with and without DREs (MKMDR and MKM) were applied to describe invitroSF data (our work and references). The parameters in each model were evaluated by a Markov chain Monte Carlo (MCMC) simulation. Results: The MCMC analysis shows that the cell survival curve by the MKMDR fits the experimental data the best in terms of the deviance information criterion (DIC). In the fractionated regimen with 30 fractions to a total dose of 60 Gy, the final cell survival estimated by the MKMDR was higher than that by the LQM. This suggests that additional fractions are required for attaining the total dose equivalent to yield the same effect as the conventional regimen using the LQM in fractionated radiotherapy. Conclusions: Damage repair during dose-delivery time plays a key role in precisely estimating cell survival even at a high dose rate in radiotherapy. Consequently, it was suggested that the cell-killing model without repair factor during a short dose-delivery time may overestimate actual cell killing in fractionated radiotherapy. (C) 2017 American Association of Physicists in Medicine
Rights: This is the pre-peer reviewed version of the following article: Matsuya, Y., Kimura, T., Date, H. (2017), Markov chain Monte Carlo analysis for the selection of a cell-killing model under high-dose-rate irradiation, 44(10): 5522-5532., which has been published in final form at 10.1002/mp.12508. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving
Type: article (author version)
URI: http://hdl.handle.net/2115/71771
Appears in Collections:保健科学院・保健科学研究院 (Graduate School of Health Sciences / Faculty of Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 伊達 広行

Export metadata:

OAI-PMH ( junii2 , jpcoar )


 

Feedback - Hokkaido University