Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.2K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.2K

You might also read

Related Articles

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

Sort by
Same author

Continuous white-light/indocyanine green overlay endoscopy in pituitary adenoma surgery: A prospective feasibility and safety study.

Brain & spine·2026
Same author

Confinement and Interface Effects on Radiolysis in Liquid-Phase TEM Probed by Palladium Nanocrystal Etching.

Nano letters·2026
Same author

Stable individual differences dominate adult brain volume variation until later life.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Fragility of Topology under Electronic Correlations in Iron Chalcogenides.

Physical review letters·2026
Same author

Simultaneous nitrification and aerobic denitrification by Agrobacterium sp. KG3 and Stutzerimonas sp. KA4: Isolation, characteristics and application to semiconductor wastewater treatment.

Bioresource technology·2026
Same author

Magnetite-mediated microbial community succession enhances methanogenic degradation of benzoate under stepwise salinity stress.

Bioresource technology·2026

Related Experiment Video

Updated: Oct 30, 2025

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function
10:21

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function

Published on: August 8, 2019

8.5K

Operator dependency of arterial input function in dynamic contrast-enhanced MRI.

Magne Kleppestø1,2,3, Atle Bjørnerud4,5,6, Inge Rasmus Groote4,7

  • 1Division of Radiology and Nuclear Medicine, Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway. mamkle@ous-hf.no.

Magma (New York, N.Y.)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

Standardizing arterial input function (AIF) definition in dynamic contrast-enhanced MRI using AUC-normalization significantly improves consistency of kinetic parameter estimates in high-grade glioma patients. A population AIF also aids in reducing variability.

Keywords:
AIFArterial input functionDCE-MRIDynamic contrast-enhanced MRIGlioblastomaObserver dependency

More Related Videos

Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model
06:24

Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model

Published on: April 18, 2015

15.3K
Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

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

Published on: May 31, 2024

693

Related Experiment Videos

Last Updated: Oct 30, 2025

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function
10:21

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function

Published on: August 8, 2019

8.5K
Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model
06:24

Dynamic Contrast Enhanced Magnetic Resonance Imaging of an Orthotopic Pancreatic Cancer Mouse Model

Published on: April 18, 2015

15.3K
Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

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

Published on: May 31, 2024

693

Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Dynamic contrast-enhanced (DCE) MRI is crucial for assessing high-grade gliomas.
  • Kinetic parameter estimates (KPEs) derived from DCE-MRI are vital for treatment monitoring.
  • Inter-operator variability in defining the arterial input function (AIF) can affect KPE accuracy.

Purpose of the Study:

  • To evaluate the impact of AIF definition variability on KPEs in high-grade gliomas.
  • To assess the effectiveness of AUC-normalized AIFs and a population AIF (pop-AIF) in reducing this variability.

Main Methods:

  • Analysis of 118 DCE MRI series from 23 high-grade glioma patients.
  • AIFs were defined by three experts (DEs) and a pop-AIF was generated.
  • Pharmacokinetic modeling using the extended Tofts model with DE-AIFs, pop-AIF, and AUC-normalized DE-AIFs.
  • Statistical analysis using Intraclass Correlation Coefficient (ICC) and Fleiss' kappa (κ) to assess agreement.

Main Results:

  • AUC-normalized AIFs demonstrated substantial to excellent agreement (ICC 0.70-0.95) for Ktrans, kep, ve, and vp.
  • Agreement for relative longitudinal change in Ktrans was substantial (κ = 0.809) with AUC-normalized AIFs, compared to moderate (κ = 0.591) with DE-AIFs.
  • The pop-AIF did not decrease agreement among KPEs.

Conclusions:

  • AUC-normalized AIFs effectively reduce inter-operator variability in DCE-MRI kinetic parameter estimation for high-grade gliomas.
  • A population AIF can serve as a viable alternative when a satisfactory individual AIF measurement is not feasible.