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

You might also read

Related Articles

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

Sort by
Same author

[Analysis of clinical feature of IgG4 related disease].

Zhonghua yi xue za zhi·2016
Same author

Noninvasive measurement of renal oxygen extraction fraction under the influence of respiratory challenge.

Journal of magnetic resonance imaging : JMRI·2016
Same author

MicroRNA-103 suppresses tumor cell proliferation by targeting PDCD10 in prostate cancer.

The Prostate·2016
Same author

Clear cell carcinoma arising in previous episiotomy scar: a case report and review of the literature.

Journal of ovarian research·2016
Same author

A DNA tetrahedron-based molecular beacon for tumor-related mRNA detection in living cells.

Chemical communications (Cambridge, England)·2016
Same author

Long non-coding RNA MALAT-1 is downregulated in preeclampsia and regulates proliferation, apoptosis, migration and invasion of JEG-3 trophoblast cells.

International journal of clinical and experimental pathology·2016

Related Experiment Video

Updated: Mar 13, 2026

Establishment of Orthotopic Patient-derived Xenograft Models for Brain Tumors using a Stereotaxic Device
07:44

Establishment of Orthotopic Patient-derived Xenograft Models for Brain Tumors using a Stereotaxic Device

Published on: May 2, 2025

1.1K

A fractional motion diffusion model for grading pediatric brain tumors.

M Muge Karaman1, He Wang2, Yi Sui3

  • 1Center for MR Research, University of Illinois at Chicago, Chicago, IL, USA.

Neuroimage. Clinical
|October 21, 2016
PubMed
Summary

The novel fractional motion (FM) diffusion model effectively distinguishes low-grade from high-grade pediatric brain tumors, showing improved accuracy over apparent diffusion coefficient (ADC) imaging.

Keywords:
Anomalous diffusionContinuous-time random-walkFractional motionNon-Gaussian diffusion modelsPediatric brain tumorTumor grading

More Related Videos

Use of Cerebral Open-Flow Microperfusion for the Longitudinal Collection of Interstitial Fluid in an Animal Model of Glioblastoma
08:50

Use of Cerebral Open-Flow Microperfusion for the Longitudinal Collection of Interstitial Fluid in an Animal Model of Glioblastoma

Published on: December 23, 2025

217
An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy
09:52

An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy

Published on: April 21, 2014

21.3K

Related Experiment Videos

Last Updated: Mar 13, 2026

Establishment of Orthotopic Patient-derived Xenograft Models for Brain Tumors using a Stereotaxic Device
07:44

Establishment of Orthotopic Patient-derived Xenograft Models for Brain Tumors using a Stereotaxic Device

Published on: May 2, 2025

1.1K
Use of Cerebral Open-Flow Microperfusion for the Longitudinal Collection of Interstitial Fluid in an Animal Model of Glioblastoma
08:50

Use of Cerebral Open-Flow Microperfusion for the Longitudinal Collection of Interstitial Fluid in an Animal Model of Glioblastoma

Published on: December 23, 2025

217
An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy
09:52

An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy

Published on: April 21, 2014

21.3K

Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Pediatric brain tumors require accurate grading for treatment planning.
  • Distinguishing between low- and high-grade tumors is crucial for patient outcomes.
  • Diffusion models offer potential for non-invasive tumor characterization.

Purpose of the Study:

  • To assess the feasibility of a novel fractional motion (FM) diffusion model.
  • To differentiate between low- and high-grade pediatric brain tumors.
  • To compare the FM model's performance against apparent diffusion coefficient (ADC) and continuous-time random-walk (CTRW) models.

Main Methods:

  • Seventy children with brain tumors underwent multi-b-value diffusion imaging.
  • Data were analyzed using FM, CTRW, and mono-exponential diffusion models.
  • Statistical comparison and receiver operating characteristic (ROC) analysis were performed.

Main Results:

  • FM parameters (D, φ, ψ) were significantly lower in high-grade tumors (p < 0.0001).
  • The FM model demonstrated superior specificity (88% vs. 73%), sensitivity (90% vs. 82%), and accuracy (88% vs. 78%) compared to ADC.
  • FM model performance was comparable to the CTRW model.

Conclusions:

  • The fractional motion (FM) model aids in differentiating pediatric brain tumor grades.
  • FM offers improved diagnostic performance over conventional ADC measurements.
  • FM shows promise as a valuable tool in pediatric neuro-oncology imaging.