Fitting the linear-quadratic model to detailed data sets for different dose ranges

Phys Med Biol. 2006 Jun 7;51(11):2813-23. doi: 10.1088/0031-9155/51/11/009. Epub 2006 May 17.

Abstract

Survival curve behaviour and degree of correspondence between the linear-quadratic (LQ) model and experimental data in an extensive dose range for high dose rates were analysed. Detailed clonogenic assays with irradiation given in 0.5 Gy increments and a total dose range varying from 10.5 to 16 Gy were performed. The cell lines investigated were: CHOAA8 (Chinese hamster fibroblast cells), U373MG (human glioblastoma cells), CP3 and DU145 (human prostate carcinoma cell lines). The analyses were based on chi2-statistics and Monte Carlo simulation of the experiments. A decline of LQ fit quality at very low doses (<2 Gy) is observed. This result can be explained by the hypersensitive effect observed in CHOAA8, U373MG and DU145 data and an adaptive-type response in the CP3 cell line. A clear improvement of the fit is discerned by removing the low dose data points. The fit worsening at high doses also shows that LQ cannot explain this region. This shows that the LQ model fits better the middle dose region of the survival curve. The analysis conducted in our study reveals a dose dependency of the LQ fit in different cell lines.

MeSH terms

  • Animals
  • Cell Line, Tumor
  • Cell Survival / radiation effects
  • Cricetinae
  • Dose-Response Relationship, Radiation
  • Glioblastoma / pathology
  • Humans
  • Male
  • Models, Biological
  • Prostatic Neoplasms / pathology
  • Radiation Tolerance*
  • Radiobiology*
  • Radiometry / methods*
  • Relative Biological Effectiveness