Multiphysics Simulation in Drug Development and Delivery

Zhan, Wenbo; Wang, Chi-Hwa

doi:10.1007/s11095-022-03330-x

Cited by 4 publications

(1 citation statement)

References 23 publications

(23 reference statements)

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“…Computational models combine concepts and ideas from various disciplines, including pharmacokinetics, pharmacodynamics, fluid mechanics/dynamics, tissue mechanics, mass transport, heat transfer and biochemical processes. Multi-physics modeling allows for integrating information from various disciplines to inform the development of therapeutic/diagnostic agents [44]. Delivery processes can be evaluated separately or by combining all stages, aiding in identifying opportunities to maximize delivery outcomes and treatment effectiveness.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale and Multi-Physics Models of the Transport of Therapeutic/Diagnostic Cancer Agents

Moradi Kashkooli,

Kolios

2023

Cancers

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Section: Introductionmentioning

confidence: 99%

Multi-Scale and Multi-Physics Models of the Transport of Therapeutic/Diagnostic Cancer Agents

Moradi Kashkooli,

Kolios

2023

Cancers

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Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges

Salahshoori,

Golriz,

Nobre

et al. 2024

Journal of Molecular Liquids

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Mathematical modeling of ¹⁸F-Fluoromisonidazole (¹⁸F-FMISO) radiopharmaceutical transport in vascularized solid tumors

Abazari,

Soltani,

Eydi

et al. 2024

Biomed. Phys. Eng. Express

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18F-Fluoromisonidazole (18F-FMISO) is a highly promising positron emission tomography radiopharmaceutical for identifying hypoxic regions in solid tumors. This research employs spatiotemporal multi-scale mathematical modeling to explore how different levels of angiogenesis influence the transport of radiopharmaceuticals within tumors. In this study, two tumor geometries with heterogeneous and uniform distributions of capillary networks were employed to incorporate varying degrees of microvascular density. The synthetic image of the heterogeneous and vascularized tumor was generated by simulating the angiogenesis process. The proposed multi-scale spatiotemporal model accounts for intricate physiological and biochemical factors within the tumor microenvironment, such as the transvascular transport of the radiopharmaceutical agent, its movement into the interstitial space by diffusion and convection mechanisms, and ultimately its uptake by tumor cells. Results showed that both quantitative and semi-quantitative metrics of 18F-FMISO uptake differ spatially and temporally at different stages during tumor growth. The presence of a high microvascular density in uniformly vascularized tumor increases cellular uptake, as it allows for more efficient release and rapid distribution of radiopharmaceutical molecules. This results in enhanced uptake compared to the heterogeneous vascularized tumor. In both heterogeneous and uniform distribution of microvessels in tumors, the diffusion transport mechanism has a more pronounced than convection. The findings of this study shed light on the transport phenomena behind 18F-FMISO radiopharmaceutical distribution and its delivery in the tumor microenvironment, aiding oncologists in their routine decision-making processes.

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Multiphysics Simulation in Drug Development and Delivery

Cited by 4 publications

References 23 publications

Multi-Scale and Multi-Physics Models of the Transport of Therapeutic/Diagnostic Cancer Agents

Multi-Scale and Multi-Physics Models of the Transport of Therapeutic/Diagnostic Cancer Agents

Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges

Mathematical modeling of ¹⁸F-Fluoromisonidazole (¹⁸F-FMISO) radiopharmaceutical transport in vascularized solid tumors

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Multiphysics Simulation in Drug Development and Delivery

Cited by 4 publications

References 23 publications

Multi-Scale and Multi-Physics Models of the Transport of Therapeutic/Diagnostic Cancer Agents

Multi-Scale and Multi-Physics Models of the Transport of Therapeutic/Diagnostic Cancer Agents

Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges

Mathematical modeling of 18F-Fluoromisonidazole (18F-FMISO) radiopharmaceutical transport in vascularized solid tumors

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Product

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Mathematical modeling of ¹⁸F-Fluoromisonidazole (¹⁸F-FMISO) radiopharmaceutical transport in vascularized solid tumors