Nonlinear model predictive control for dosing daily anticancer agents using a novel saturating-rate cell-cycle model.
Nonlinear model predictive control for dosing daily anticancer agents using a novel saturating-rate cell-cycle model.
复制标题
使用新型饱和率细胞周期模型对每日抗癌药物给药进行非线性模型预测控制。
DOI：
10.1016/j.compbiomed.2007.12.003
复制
发表时间：
2008
影响因子：
7.7
通讯作者：
Parker,RobertS
中科院分区：
文献类型：
--
作者：
FlorianJr,JeffryA;Eiseman,JulieL;Parker,RobertS
A nonlinear model predictive control (NMPC) algorithm was developed to dose the chemotherapeutic agent tamoxifen based on a novel saturating-rate, cell-cycle model (SCM). Using daily tumor measurements, the algorithm decreased tumor volume along a specified reference trajectory in simulated animals over 4 months. In mismatch case studies, controllers based on the Gompertz model (GM) yielded equivalent total drug delivered and elapsed time to t99%reference step convergence to those obtained using the SCM, though this performance was dependent on the cell-cycle phase of drug effect. Overall, the NMPC algorithm is suitable for dosing chemotherapeutics with regular administration schedules and may be adapted for regularly administered chemotherapeutics other than tamoxifen.
