The choice of the appropriate model and parameter set in determining the relation
between the incidence of radiation pneumonitis and dose distribution in the lung
is of great importance, especially in the case of breast radiotherapy where the
observed incidence is fairly low. From our previous study based on 150 breast
cancer patients, where the fits of dose-volume models to clinical data were
estimated (Tsougos et al 2005 Evaluation of dose-response models and parameters
predicting radiation induced pneumonitis using clinical data from breast cancer
radiotherapy Phys. Med. Biol. 50 3535-54), one could get the impression that the
relative seriality is significantly better than the LKB NTCP model. However, the
estimation of the different NTCP models was based on their goodness-of-fit on
clinical data, using various sets of published parameters from other groups, and
this fact may provisionally justify the results. Hence, we sought to investigate
further the LKB model, by applying different published parameter sets for the
very same group of patients, in order to be able to compare the results. It was
shown that, depending on the parameter set applied, the LKB model is able to
predict the incidence of radiation pneumonitis with acceptable accuracy,
especially when implemented on a sub-group of patients (120) receiving [see
text]|EUD higher than 8 Gy. In conclusion, the goodness-of-fit of a certain
radiobiological model on a given clinical case is closely related to the
selection of the proper scoring criteria and parameter set as well as to the
compatibility of the clinical case from which the data were derived.