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

Butterfly gliomas: to biopsy or to ablate - a longitudinal cohort study.

Journal of neuro-oncology·2026
Same author

Returning to work after treatment for a low-grade glioma: analysing return-to-work rates and exploring barriers experienced by patients.

Journal of neuro-oncology·2026
Same author

A Rapid fMRI Paradigm for Localisation of the Language Network.

The European journal of neuroscience·2026
Same author

Multidimensional cognitive reserve and cognitive outcomes in glioblastoma: a pre- and postoperative analysis.

Journal of neuro-oncology·2026
Same author

Estimating post-operative complication rates in patients with primary brain tumours from routine administrative data: A national cohort study.

PloS one·2026
Same author

Awake craniotomy for brain tumor resection in the elderly: an institutional experience.

Journal of neuro-oncology·2026

Related Experiment Video

Updated: Jun 5, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K

Predicting glioblastoma progression using MR diffusion tensor imaging: A systematic review.

Francesca M Cozzi1, Roxanne C Mayrand1, Yizhou Wan1

  • 1Cambridge Brain Tumour Imaging Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.

Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|December 9, 2024
PubMed
Summary
This summary is machine-generated.

Diffusion tensor imaging (DTI) shows promise for predicting glioblastoma (GBM) recurrence by detecting microstructural changes before conventional MRI. This advanced imaging can guide treatment and surveillance for GBM patients.

Keywords:
diffusion tensor imagingglioblastomaprogressionrecurrence

More Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

22.4K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

3.6K

Related Experiment Videos

Last Updated: Jun 5, 2025

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

22.4K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

3.6K

Area of Science:

  • Neuroimaging
  • Oncology
  • Radiology

Background:

  • Glioblastoma (GBM) inevitably recurs despite multimodal treatment.
  • Conventional MRI has limitations in detecting early tumor infiltration in white matter tracts.
  • Diffusion tensor imaging (DTI) offers enhanced sensitivity to microstructural changes.

Conclusions:

  • DTI metrics show potential for guiding GBM treatment planning (surgery, radiotherapy).
  • DTI can inform long-term surveillance strategies for GBM patients.
  • Understanding DTI trends is vital as it becomes a standard treatment-guiding modality.