Studies of the relationships between the pharmacokinetics of a drug an
d its pharmacodynamics could significantly improve chemotherapy effica
cy. However, despite their proven value pharmacokinetic studies someti
mes appear as cumbersome and difficult procedures. The bayesian approa
ch associated with an optimal sampling time strategy (OST) allows the
determination of the pharmacokinetic parameters of a drug with a small
er number of blood samples compared with that required by the classic
maximum likelihood estimation (MLE). Therefore, the bayesian approach
may lead to a less discomfort to the patients and less work for the me
dical staff. Such a method was developed to determine the individual p
harmacokinetic parameters of etoposide (VP16). First, the statistical
characteristics of the pharmacokinetic parameters were evaluated in 14
courses from 14 patients. Then, based on these results, a three-sampl
e strategy was developed. Validation of this methodology was performed
in 7 new patients and evaluated by computing bias and precision. The
performance of the developed methodology shows that it could successfu
lly be applied for the determination of VP16 pharmacokinetic parameter
s.