The question of how to include radioactive decay during biological mod
eling with first-order differential equations was considered. Modeling
may involve either experimental data y(t) or decay-corrected data z(t
) [=exp(lambda t)y(t) where lambda is the decay constant] for each com
partment. It is sometimes assumed that the latter are solutions to cor
responding purely pharmacokinetic models (no decay). We primarily comp
ared the two analyses in the case where the model did not require simu
ltaneous consideration of both labeled and unlabeled material. A gener
al theorem was found which limits the use of decay-corrected data to p
harmacokinetic models containing Linear, homogeneous differential equa
tions. By way of verification, an example of this model type was analy
zed for a chimeric monoclonal antibody biodistribution in man. Even in
this case, statistically significant differences between the two solu
tions showed that one may find different model parameters depending up
on which data set (y or z) was analyzed. For other mathematical forms,
the analyst must include the physical decay in all relevant compartme
nts. By analyzing an open, quadratic model, effects of not including d
ecay were seen to be maximized if the biological rate constant was gre
ater than or equal to lambda, the physical decay constant. Finally, us
ing monoclonal antibody-antigen reactions, similar discrepancies betwe
en the z functions and the pharmacokinetic variables were demonstrated
. This result was found to persist even if competitive molecules were
included. We conclude that decay-corrected data may be shown, but shou
ld not be entered into-the modeling equations unless the latter are of
the linear, homogeneous form.