Advanced treatment optimization is possible using quantitative radiobiologi
cal dose response models. Although all present models are necessarily linke
d to a certain degree of uncertainty, this will only have a small influence
on the relative shape of the resultant optimal dose distribution. However
the exact dose level should perferably be determined clinically by dose esc
alation with the optimized dose plan as a control arm. It is shown that a l
arge part of the biological effect of high linear energy transfer radiation
is due to the spectrum of low-energy delta -electrons that can generate de
nse clusters of complex DNA damage. Such electrons are efficiently generate
d by low-energy photons or densely ionizing ion beams and to a considerably
smaller degree by high-energy electrons, photons and protons. A new analyt
ical expression is developed for the effective radiation resistance of hete
rogeneous tumors, making it possible to approximate the response of such tu
mors by the effective clonogen number N-0.eff and the effective D-0 value D
-0.eff. It is shown that a relatively small number of resistant tumor cells
may well be sufficient to dominate the response of hypoxic or otherwise he
terogeneous tumors. Finally, several examples are given of intensity-modula
ted dose distributions generated by multiple radiation modalities, the tota
l effect of which is biologically optimized.