@article{oai:repo.qst.go.jp:00047040,
 author = {Mohanty, Chitralekha and Zielinska-Chomej, Katarzyna and Edgren, Margareta and Hirayama, Ryoichi and Murakami, Takeshi and Lind, Bengt and Toma-Dasu, Iuliana and 平山 亮一 and 村上 健},
 issue = {6},
 journal = {Anticancer research},
 month = {Jun},
 note = {Background/Aim: The use of ion radiation therapy is growing due to the continuously increasing positive clinical experience obtained. Therefore, there is a high interest in radio-biological experiments comparing the relative efficiency in cell killing of ions and photons as photons are currently the main radiation modality used for cancer treatment. This comparison is particularly important since the treatment planning systems (TPSs) used at the main ion therapy Centers make use of parameters describing the cellular response to photons, respectively ions, determined in vitro. It was, therefore, the aim of this article to compare the effects of high linear energy transfer (LET) ion radiation with low LET photons and determine whether the cellular response to low LET could predict the response to high LET irradiation. Materials and Methods: Clonogenic cell survival data of five tumor cell lines irradiated with different ion beams of similar, clinically-relevant, LET were studied in relation to response to low LET photons. Two mathematical models were used to fit the data, the repairable-conditionally repairable damage (RCR) model and the linear quadratic (LQ) model. Results: The results indicate that the relative biological efficiency of the high LET radiation assessed with the RCR model could be predicted based only on the response to the low LET irradiation. Conclusion: The particular features of the RCR model indicate that tumor cells showing a large capacity for repairing the damage will have the larger benefit from radiation therapy with ion beams.},
 pages = {2801--2806},
 title = {Predicting the sensitivity to ion therapy based on the response to photon irradiation - experimental evidence and mathematical modelling.},
 volume = {34},
 year = {2014}
}