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

Metastasis

Metastasis

Metastasis is the spread of cancer cells from the original site to distant locations in the body. Cancer cells can spread via blood vessels (hematogenous) as well as lymph vessels in the body.
Epithelial-to-Mesenchymal Transition
The epithelial-to-mesenchymal transition or EMT is a developmental process commonly observed in wound healing, embryogenesis, and cancer metastasis. EMT is induced by transforming growth factor-beta (TGF-β) or receptor tyrosine kinase (RTK) ligands, which further...

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

You might also read

Related Articles

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

Sort by

Same author

Role of thromboelastography in risk stratifying patients with traumatic brain injury on prehospital antiplatelet agents.

Trauma surgery & acute care open·2026

Same author

From bedside to bedside: how iterative clinical research influenced the diagnosis and management of pneumonia at the Elvis Presley Trauma Center.

Trauma surgery & acute care open·2023

Same author

Surgeon compassion may mitigate quality of life disparities associated with health literacy.

Trauma surgery & acute care open·2023

Same author

The Declining Use of Opioids at a Level 1 Trauma Center.

The American surgeon·2022

Same author

Burden of motorcyclists without helmets in a state without a universal helmet law: a propensity score analysis.

Trauma surgery & acute care open·2020

Same author

Minor change in initial PEEP setting decreases rates of ventilator-associated events in mechanically ventilated trauma patients.

Trauma surgery & acute care open·2020

Search research articles

Related Experiment Video

Updated: Jul 1, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Brain Metastases: Insights from Statistical Modeling of Size Distribution.

M Buller¹, K M Chapple¹, C R Bird²

¹From the Department of Neuroradiology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona.

AJNR. American Journal of Neuroradiology

|April 4, 2020

Summary

Brain metastasis size distribution follows a power law, suggesting they are part of a complex system. Identifying key variables could improve understanding and treatment of these brain lesions.

More Related Videos

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells

Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells

Published on: August 2, 2022

Related Experiment Videos

Last Updated: Jul 1, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells

Modeling Brain Metastasis by Internal Carotid Artery Injection of Cancer Cells

Published on: August 2, 2022

Area of Science:

Radiology
Statistical Modeling
Oncology

Background:

Brain metastases are common on MRI but their size and distribution factors are poorly understood.
Parenchymal metastases present a challenge for accurate characterization and treatment planning.

Purpose of the Study:

To develop a statistical model for the size distribution of brain metastases.
To analyze the distribution patterns of parenchymal metastases using contrast-enhanced MRI data.

Main Methods:

Tumor volumes were calculated from diameters on contrast-enhanced T1-weighted MRI in 68 patients.
Rank-order distributions of tumor volumes were compared against 11 statistical curve types.
Goodness of fit assessed using R-squared values and likelihood ratio tests.

Main Results:

A power law distribution best fit 39 cases (mean R-squared = 0.938 ± 0.050).
An exponential distribution best fit 20 cases (mean R-squared = 0.957 ± 0.050).
Likelihood ratio analysis indicated a skew towards a power law distribution in 66 of 68 cases.

Conclusions:

Untreated brain metastasis size distributions favor a power law model.
This suggests metastases are interconnected within a complex system.
Identifying underlying variables could significantly impact understanding and treatment strategies.