Pharmacokinetic assessment of novel anti-cancer drugs using spectral analysis and positron emission tomography: A feasibility study

被引:45
|
作者
Meikle, SR
Matthews, JC
Brock, CS
Wells, P
Harte, RJA
Cunningham, VJ
Jones, T
Price, P
机构
[1] Royal Prince Alfred Hosp, PET & Nucl Med Dept, Camperdown, NSW 2050, Australia
[2] Royal Postgrad Med Sch, London W12 0NN, England
关键词
positron emission tomography; pharmacokinetics; anti-cancer drugs; drug evaluation; spectral analysis;
D O I
10.1007/s002800050804
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: The aim of this study was to investigate the feasibility of evaluating the pharmacokinetics of radiolabeled anti-cancer drugs using spectral analysis, a non-compartmental tracer kinetic modeling technique, and positron emission tomography (PET). Methods: Dynamic PET studies were performed on patients receiving tracer doses of 5-fluorouracil (5-[F-18]-FU) and two developmental drugs - [C-11]-temozolomide and [C-11]-acridine carboxamide. Spectral analysis was then used to (a) determine individual and group average pharmacokinetics, (b) predict tumour handling in response to different drug administration regimens, and (c) produce functional parametric images describing regional pharmacokinetics. Results: Spectral analysis could distinguish tumour kinetics from normal tissue kinetics in an individual [C-11]-temozolomide study and demonstrated a markedly greater volume of distribution (VD) in glioma than in normal brain, although there was no appreciable difference in mean residence time. Analysis of pooled acridine carboxamide data (n = 22) revealed a relatively large VD (and prolonged retention) in the liver and spleen and a markedly lower VD (and initial uptake) in the brain. Continuous infusion of 5-[F-18]-FU was predicted to achieve a concentration in colorectal metastases in liver approximately 10 times that achieved in plasma at 10 h after commencement of the infusion. Conclusions: We conclude that spectral analysis provides important pharmacokinetic information about radiolabeled anti-cancer drugs with relatively few model assumptions.
引用
收藏
页码:183 / 193
页数:11
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