在放射性药物治疗中群体药动力学建模:一篇综述
Deni Hardiansyah1, Bisma Barron Patrianesha2, Gerhard Glatting3
1Faculty of Mathematics and Natural Sciences, Medical Physics and Biophysics Division, Physics Department, Universitas Indonesia, Depok, Indonesia.
Frontiers in nuclear medicine
|October 27, 2025
概括
种群药动力学 (PopPK) 建模通过从患者的生物动力学数据进行个性化剂量估计来增强放射性药物治疗 (RPT). 这种方法比传统方法具有优势,为更精确的RPT铺平了道路.
科学领域:
- 核医学就是核医学.
- 药理动力学 药理动力学
- 放射性药物疗法是一种放射性药物疗法.
背景情况:
- 放射性药物治疗 (RPT) 需要准确的吸收剂量估计,以确保有效性和安全性.
- 传统的剂量测量方法面临的挑战是个体间的变化和数据稀疏性.
- 种群药动力学 (PopPK) 建模为解决这些局限性提供了一个框架.
研究的目的:
- 审查和评估PopPK在RPT中的当前应用.
- 突出PopPK的优势,而不是基于个人的建模.
- 讨论在RPT中实施PopPK的挑战和未来方向.
主要方法:
- 使用PopPK用于放射性药物生物动力学的关键研究的综述.
- 专注于非线性混合效应建模 (NLMEM) 和贝叶斯拟合.
- 在时间整合活性 (TIA) 估计,单一时间点 (STP) 剂量测量和药理动力学 (PD) 分析中分析PopPK.
主要成果:
- PopPK有效地描述了RPT剂量估计的个体间变异性.
- 即使数据稀疏或不规则,PopPK也可以使用人口级数据进行个性化剂量测量.
- 关键应用包括TIA估计,STP剂量测量,不确定性分析和PD建模.
结论:
- PopPK 是个性化 RPT 的强大工具,提供灵活性和更高的准确性.
- 计算复杂性和专业知识要求阻碍了广泛采用.
- 跨学科的合作和融入适应剂量测量框架对于临床翻译至关重要.
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