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Related Concept Videos

Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.

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Related Experiment Video

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Human Neuroendocrine Tumor Cell Lines as a Three-Dimensional Model for the Study of Human Neuroendocrine Tumor Therapy
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Multiple Mesh-type Real Human Cell Models for Dosimetric Application Coupled with Monte Carlo Simulations.

YiDi Wang1,2,3, Dong Kong4, Han Gao1,2,3

  • 1State Key Laboratory of Radiation Medicine and Protection, Suzhou, China.

Radiation Research
|July 6, 2023
PubMed
Summary

Mesh-type models improve cellular dose assessment for Monte Carlo simulations. These advanced models, based on real human cells, offer greater versatility than voxel models for various irradiation scenarios and radiation biology applications.

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Area of Science:

  • Medical Physics
  • Computational Biology
  • Radiation Dosimetry

Background:

  • Voxel models present limitations in cellular dose assessment accuracy.
  • Monte Carlo (MC) codes require detailed cellular models for precise radiation dosimetry.
  • Mesh-type models offer a more refined approach to representing cellular structures.

Purpose of the Study:

  • To develop and optimize micron-scale mesh-type models of real human cells.
  • To evaluate the feasibility of these mesh models with various MC codes and irradiation scenarios.
  • To compare the performance of mesh models against voxel models for cellular dose assessment.

Main Methods:

  • Reconstruction and optimization of six human cell line models using laser confocal tomography.
  • Transformation of mesh models into polygon (GATE) and tetrahedral (PHITS) formats.
  • Dose assessment using MC simulations with electrons, protons, and radioisotopes under different irradiation conditions.

Main Results:

  • Mesh-type models can be directly applied to MC codes (GATE, PHITS) after surface reduction, bypassing voxelization.
  • Significant dose variations were observed between different cell types and irradiation scenarios.
  • Smaller cell nuclei showed greater sensitivity to physical codes, with notable nanoscale dose deviations.

Conclusions:

  • Mesh-type real cell models are more versatile and accurate than voxel or mathematical models for MC simulations.
  • These models facilitate RBE estimations and biological effect predictions in radiotherapy and radiation protection.
  • The developed models are extendable to other cell types and irradiation scenarios, advancing radiation research.