首页    期刊浏览 2024年12月03日 星期二
登录注册

文章基本信息

  • 标题:A general mechanistic model enables predictions of the biological effectiveness of different qualities of radiation
  • 本地全文:下载
  • 作者:Stephen J. McMahon ; Aimee L. McNamara ; Jan Schuemann
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2017
  • 卷号:7
  • 期号:1
  • DOI:10.1038/s41598-017-10820-1
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:Predicting the responses of biological systems to ionising radiation is extremely challenging, particularly when comparing X-rays and heavy charged particles, due to the uncertainty in their Relative Biological Effectiveness (RBE). Here we assess the power of a novel mechanistic model of DNA damage repair to predict the sensitivity of cells to X-ray, proton or carbon ion exposures in vitro against over 800 published experiments. By specifying the phenotypic characteristics of cells, the model was able to effectively stratify X-ray radiosensitivity (R (2) = 0.74) without the use of any cell-specific fitting parameters. This model was extended to charged particle exposures by integrating Monte Carlo calculated dose distributions, and successfully fit to cellular proton radiosensitivity using a single dose-related parameter (R (2) = 0.66). Using these parameters, the model was also shown to be predictive of carbon ion RBE (R (2) = 0.77). This model can effectively predict cellular sensitivity to a range of radiations, and has the potential to support developments of personalised radiotherapy independent of radiation type.
国家哲学社会科学文献中心版权所有