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...

You might also read

Related Articles

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

Sort by

Same author

Neurosurgical Endovascular Credentialing in Europe and the United Kingdom for the "Complete" Neurovascular Surgeon: The Time has Come.

Neurosurgery·2026

Same author

The History of Neurological Surgery at the University of Illinois Chicago.

World neurosurgery·2026

Same author

Anterograde-Retrograde Superficial Temporal Artery-to-Middle Cerebral Artery Bypass: 2-Dimensional Operative Video.

Operative neurosurgery (Hagerstown, Md.)·2026

Same author

Intraoperative 5-aminolevulinic acid fluorescence-guided aspirate tissue monitoring in high-grade glioma surgery: The first-in-human study on clinical performance and safety.

Neuro-oncology advances·2026

Same author

Impact of Vessel Narrowing and Changes in Blood Flow on the Development of Ischemia in Cervical Arterial Dissection Using Quantitative Magnetic Resonance Angiography.

Stroke (Hoboken, N.J.)·2026

Same author

Diagnostic accuracy of FDG-PET-CT to predict axillary lymph node response after neo-adjuvant chemotherapy in lymph node-positive breast cancer patients.

Breast cancer research : BCR·2026

Search research articles

Related Experiment Video

Updated: Jan 4, 2026

Paired Cisterna Magna Nanoinjection and Laser Speckle Contrast Imaging Assay to Study Cerebral Blood Flow Regulation In Vivo

Paired Cisterna Magna Nanoinjection and Laser Speckle Contrast Imaging Assay to Study Cerebral Blood Flow Regulation In Vivo

Published on: July 8, 2025

A patient-specific cerebral blood flow model.

Jasper H G Helthuis¹, Tristan P C van Doormaal², Sepideh Amin-Hanjani³

¹Department of Neurosurgery, University Medical Center Utrecht, Utrecht, the Netherlands; Brain Technology Institute, Utrecht, the Netherlands; Department of Radiology, Medisch Spectrum Twente, Enschede, the Netherlands.

Journal of Biomechanics

|November 12, 2019

Summary

A simplified patient-specific mathematical blood flow model shows potential for aiding clinical decisions in cerebrovascular diseases. Validation in healthy subjects indicates feasibility, though further patient studies are required.

Keywords:

Cerebral blood flow Hemodynamics Modelling Patient-specific Structured tree

More Related Videos

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Published on: February 17, 2013

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

Related Experiment Videos

Last Updated: Jan 4, 2026

Paired Cisterna Magna Nanoinjection and Laser Speckle Contrast Imaging Assay to Study Cerebral Blood Flow Regulation In Vivo

Paired Cisterna Magna Nanoinjection and Laser Speckle Contrast Imaging Assay to Study Cerebral Blood Flow Regulation In Vivo

Published on: July 8, 2025

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Published on: February 17, 2013

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

Area of Science:

Biomedical Engineering
Computational Fluid Dynamics
Medical Imaging

Background:

Complex cerebrovascular diseases necessitate difficult treatment choices.
Patient-specific mathematical blood flow models can assist in clinical decision-making.
Simplified models may suffice when high accuracy is not critical.

Purpose of the Study:

To validate a patient-specific, simplified mathematical blood flow model.
To assess the model's feasibility for clinical application in cerebrovascular disease treatment planning.

Main Methods:

MRI and Noninvasive Optimal Vessel Analysis (NOVA) were used to obtain patient-specific vascular data.
A Hagen-Poiseuille based mathematical model with patient-specific boundary conditions was employed.
Model validation was performed on 20 healthy subjects, with autoregulatory parameters optimized using data from 10 additional subjects.

Main Results:

A median percentual flow difference of -3% (IQR -36% to 17%) was observed.
Regression analysis yielded R² values of 0.71 for absolute flow.
Bland-Altman analysis indicated a bias of 5% (-70% to 80%) for absolute flow.

Conclusions:

The validated simplified model demonstrates accuracy potentially suitable for clinical use.
Model simplifications and validation limitations necessitate further studies in actual patient populations.
The model shows promise for aiding treatment decisions in complex cerebrovascular cases.