纳米医学
药物输送
药品
纳米颗粒
纳米技术
靶向给药
细胞外
粒径
材料科学
药理学
化学
医学
物理化学
作者
Farshad Moradi Kashkooli,Mohsen Rezaeian,M. Soltani
出处
期刊:Nanomedicine
日期:2022-04-01
卷期号:17 (10): 695-716
被引量:17
标识
DOI:10.2217/nnm-2021-0126
摘要
Aim: In this study, the main goal was to apply a multi-scale computational model in evaluating nano-sized drug-delivery systems, following extracellular drug release, into solid tumors in order to predict treatment efficacy. Methods: The impact of several parameters related to tumor (size, shape, vessel-wall pore size, and necrotic core size) and therapeutic agents (size of nanoparticles, binding affinity of drug, drug release rate from nanoparticles) are examined in detail. Results: This study illustrates that achieving a higher treatment efficacy requires smaller nanoparticles (NPs) or a low binding affinity and drug release rate. Long-term analysis finds that a slow release rate in extracellular space does not always improve treatment efficacy compared with a rapid release rate; NP size as well as binding affinity of drug are also highly influential. Conclusion: The presented methodology can be used as a step forward towards optimization of patient-specific nanomedicine plans.
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