高速放射分析的皮下注射库:分散,形态,和扩散在自动注射器输送:海报发表于PDA周2025。

Q3 Medicine
Rozhin Derakhshandeh, Jean-Christophe Veilleux, Galen H Shi, Pavlos P Vlachos
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引用次数: 0

摘要

自体注射器促进皮下(SC)药物的自我给药。尽管它们对患者和医疗保健系统有益,但它们如何影响药物分散和吸收的实验研究是有限的。本研究探讨了自动注射器注射参数如何影响烟羽生长、形态和扩散在注射期间和注射后。我们研究了三种类似设计的商业自动注射器模型,其不同的输送量(0.5 mL, 1ml和2ml)注射到切除的五花肉组织中。同步辐射成像提供了注入过程中羽流动力学的高分辨率实时二维可视化,而同步辐射CT则捕获了注入后储存库的三维形态。我们的结果表明,羽流的增长是非线性的,最初的快速阶段随着时间的推移而减慢。最终羽流的体积超过了剂量的25%,反映了组织内的扩散。无论自动进样器型号或注射量如何,羽流主要是水平扩张(与组织平行),在整个注射过程中,纵横比不断增加,最终达到约4。注射后扩散似乎更多地由组织特性驱动,而不是由自动进样器设计参数驱动。这些发现为改进自动注射器设计、开发更准确的计算模型来预测药物吸收和优化SC给药系统提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Speed Radiographic Analysis of Subcutaneous Injection Depots: Dispersion, Morphology, and Diffusion in Autoinjector Delivery: Poster Presented at PDA Week 2025.

Autoinjectors facilitate self-administration of subcutaneous (SC) medications. Despite their benefits for patients and healthcare systems, experimental research on how they impact drug dispersion and absorption is limited. This study investigates how autoinjector injection parameters influence plume growth, morphology, and diffusion during and post injection. We investigated three commercial autoinjector models of a similar design with varying delivered volumes (0.5 mL, 1 mL, and 2 mL) injected into excised pork belly tissue. Synchrotron radiography provided high-resolution, real-time 2 D visualization of plume dynamics during injection, while the 3 D morphology of the depot postinjection was captured with a synchrotron CT. Our results show that plume growth is nonlinear, with an initial rapid phase slowing over time. The final plume volume exceeds the delivered dose by 25%, reflecting depot spread within the tissue. Regardless of autoinjector model or injection volume, the plume predominantly expands horizontally (parallel to the tissue), with the aspect ratio increasing throughout the injection and reaching a final value of approximately 4. Post-injection diffusion appears to be driven more by tissue properties than by the autoinjector design parameters. These findings provide a foundation for refining autoinjector designs, developing more accurate computational models to predict drug absorption, and optimizing SC delivery systems.

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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
34
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