Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...

Two-Compartment Open Model: IV Infusion

Two-Compartment Open Model: IV Infusion

A two-compartment model is a vital tool in pharmacokinetics, providing an essential understanding of drug behavior, especially for those administered via zero-order intravenous infusion. This model outlines two compartments: the central compartment, where elimination occurs, and the peripheral compartment.
The model illustrates the decrease in plasma drug concentration from the central compartment with a specific equation. It shows that under steady-state conditions, the drug's input rate...

Model Approaches for Pharmacokinetic Data: Physiological Models

Model Approaches for Pharmacokinetic Data: Physiological Models

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

In silico high-resolution whole lung model to predict the locally delivered dose of inhaled drugs.

Communications medicine·2026

Same author

Computational Modelling of Cancer Nanomedicine: Integrating Hyperthermia Treatment Into a Multiphase Porous-Media Tumour Model.

International journal for numerical methods in biomedical engineering·2025

Same author

Constitutive Models for Active Skeletal Muscle: Review, Comparison, and Application in a Novel Continuum Shoulder Model.

International journal for numerical methods in biomedical engineering·2025

Same author

Adaptive integration of history variables in constrained mixture models for organ-scale growth and remodeling.

International journal for numerical methods in biomedical engineering·2024

Same author

Pressure- and time-dependent alveolar recruitment/derecruitment in a spatially resolved patient-specific computational model for injured human lungs.

International journal for numerical methods in biomedical engineering·2023

Same author

An in silico model of the capturing of magnetic nanoparticles in tumour spheroids in the presence of flow.

Biomedical microdevices·2023

Search research articles

Related Experiment Video

Updated: Oct 29, 2025

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

Validation and parameter optimization of a hybrid embedded/homogenized solid tumor perfusion model.

Johannes Kremheller¹, Sebastian Brandstaeter¹, Bernhard A Schrefler^2,3

¹Institute for Computational Mechanics, Technical University of Munich, München, Germany.

International Journal for Numerical Methods in Biomedical Engineering

|July 7, 2021

Summary

This study validates a hybrid computational model for simulating tumor perfusion. The model accurately predicts fluid pressures by simplifying smaller blood vessels, aiding drug delivery research.

Keywords:

1D-3D coupling homogenization hybrid models microcirculation tissue perfusion

More Related Videos

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Published on: September 15, 2023

An Open-Source Normothermic Perfusion System Designed for Research Scientists

An Open-Source Normothermic Perfusion System Designed for Research Scientists

Published on: July 18, 2025

Related Experiment Videos

Last Updated: Oct 29, 2025

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Published on: September 15, 2023

An Open-Source Normothermic Perfusion System Designed for Research Scientists

An Open-Source Normothermic Perfusion System Designed for Research Scientists

Published on: July 18, 2025

Area of Science:

Computational modeling
Biomedical engineering
Tumor microenvironment research

Background:

Accurate modeling of tumor perfusion is crucial for understanding disease progression and optimizing drug delivery.
Traditional models often require detailed vascular morphology, which can be difficult to obtain noninvasively.
A hybrid approach offers a potential solution by combining explicit resolution of large vessels with homogenization of smaller ones.

Purpose of the Study:

To investigate the validity and optimize parameters of a hybrid in-silico approach for modeling solid tumor perfusion.
To assess the feasibility of using noninvasive imaging techniques for data acquisition in this hybrid model.
To compare the hybrid model's performance against a fully resolved model across diverse tumor vascular architectures.

Main Methods:

Development of a hybrid model embedding resolved large blood vessels (1D inclusions) into a 3D porous tissue domain.
Utilizing a mortar-type formulation to couple the resolved and homogenized vasculature representations.
Validation against a fully resolved model using metrics like pressure and flow, tested on heterogeneous tumor vascular data.

Main Results:

The hybrid model demonstrated excellent agreement with the fully resolved model for mean blood and interstitial fluid pressures (relative errors <4%).
Slightly larger errors were observed in blood flow within the smaller, homogenized vessels, deemed less critical.
The model's performance was evaluated across three distinct tumor types with varying vascular structures.

Conclusions:

The hybrid embedded/homogenized in-silico approach is a valid and promising tool for modeling tumor perfusion.
This method reduces the need for detailed microvasculature imaging, enhancing practical applicability.
Further improvements can enhance the model's utility for studying drug delivery efficacy in solid tumors.