Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Publication Preview--Ahead of Print
    • Past Issue Archive
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • For Authors
  • About Us
    • About AJNR
    • Editors
    • American Society of Neuroradiology
  • Submit a Manuscript
  • Podcasts
    • Subscribe on iTunes
    • Subscribe on Stitcher
  • More
    • Subscribers
    • Permissions
    • Advertisers
    • Alerts
    • Feedback
  • Other Publications
    • ajnr

User menu

  • Subscribe
  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

  • Subscribe
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Publication Preview--Ahead of Print
    • Past Issue Archive
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
  • For Authors
  • About Us
    • About AJNR
    • Editors
    • American Society of Neuroradiology
  • Submit a Manuscript
  • Podcasts
    • Subscribe on iTunes
    • Subscribe on Stitcher
  • More
    • Subscribers
    • Permissions
    • Advertisers
    • Alerts
    • Feedback
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds
Research ArticleBRAIN

Differentiation of Low-Grade Oligodendrogliomas from Low-Grade Astrocytomas by Using Quantitative Blood-Volume Measurements Derived from Dynamic Susceptibility Contrast-Enhanced MR Imaging

Soonmee Cha, Tarik Tihan, Forrest Crawford, Nancy J. Fischbein, Susan Chang, Andrew Bollen, Sarah J. Nelson, Michael Prados, Mitchel S. Berger and William P. Dillon
American Journal of Neuroradiology February 2005, 26 (2) 266-273;
Soonmee Cha
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tarik Tihan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Forrest Crawford
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nancy J. Fischbein
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Susan Chang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrew Bollen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sarah J. Nelson
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Prados
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mitchel S. Berger
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
William P. Dillon
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
Loading

Article Figures & Data

Figures

  • Fig 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 1.

    T2* signal intensity time curves from normal cortical and background ROIs.

  • Fig 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 2.

    Box plot of mitotic index labeling (MIB-1) for each tumor shows similar mean values, indicated by the small squares for both tumor types, with a larger SD for low-grade astrocytoma. Horizontal line in box indicates median.

  • Fig 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 3.

    A and B, Photomicrographs from immunohistochemistry of endothelial cell marker (CD31) in low-grade gliomas (CD31 stain; original magnification, X400). Grade II astrocytoma (A) shows minimal reactivity with CD31 antibody compared with a grade II oligogdendroglioma (B), which demonstrates strong reactivity as shown by the brown staining of the vasculature.

  • Fig 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 4.

    Case of a 40-year-old man with a grade II oligodendroglioma.

    A and B, Axial contrast-enhanced T1-weighted (A) and FLAIR (B) MR images demonstrate a heterogeneously enhancing (black arrows), infiltrative, cortically based mass (white arrows) in the left medial superior frontal lobe.

    C, Relative CBV map of the tumor shows a large focus of increased blood volume (arrow) in the tumor.

  • Fig 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 5.

    Case of a 32-year-old man with a grade II astrocytoma.

    A and B, Axial contrast-enhanced T1-weighted (A) and FLAIR (B) MR images demonstrate a minimally enhancing (black arrows), heterogeneous T2 hyperintense mass (white arrows) in the left deep frontal white matter.

    C, Relative CBV map of the tumor shows minimally elevated blood volume in the tumor (arrow).

  • Fig 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 6.

    Box plot of rCBVmax for each tumor shows a significant difference in mean rCBVmax values (small squares) between low-grade oligodendroglioma and low-grade astrocytoma, with a larger SD for low-grade oligodendroglioma. Horizontal line in box indicates median.

  • Fig 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Fig 7.

    Multiple voxels of T2* signal intensity time curves in a left superior frontal oligodendroglioma (same patient as in Fig 4) demonstrate more pronounced signal intensity decrease within the tumor (lighter shaded area) when compared with the contralateral gray matter (darker shaded area).

PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 26 (2)
American Journal of Neuroradiology
Vol. 26, Issue 2
1 Feb 2005
  • Table of Contents
  • Index by author
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Differentiation of Low-Grade Oligodendrogliomas from Low-Grade Astrocytomas by Using Quantitative Blood-Volume Measurements Derived from Dynamic Susceptibility Contrast-Enhanced MR Imaging
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Differentiation of Low-Grade Oligodendrogliomas from Low-Grade Astrocytomas by Using Quantitative Blood-Volume Measurements Derived from Dynamic Susceptibility Contrast-Enhanced MR Imaging
Soonmee Cha, Tarik Tihan, Forrest Crawford, Nancy J. Fischbein, Susan Chang, Andrew Bollen, Sarah J. Nelson, Michael Prados, Mitchel S. Berger, William P. Dillon
American Journal of Neuroradiology Feb 2005, 26 (2) 266-273;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Differentiation of Low-Grade Oligodendrogliomas from Low-Grade Astrocytomas by Using Quantitative Blood-Volume Measurements Derived from Dynamic Susceptibility Contrast-Enhanced MR Imaging
Soonmee Cha, Tarik Tihan, Forrest Crawford, Nancy J. Fischbein, Susan Chang, Andrew Bollen, Sarah J. Nelson, Michael Prados, Mitchel S. Berger, William P. Dillon
American Journal of Neuroradiology Feb 2005, 26 (2) 266-273;
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Perfusion MRI-Based Fractional Tumor Burden Differentiates between Tumor and Treatment Effect in Recurrent Glioblastomas and Informs Clinical Decision-Making
  • 3D Pseudocontinuous Arterial Spin-Labeling MR Imaging in the Preoperative Evaluation of Gliomas
  • Comparison of the Diagnostic Accuracy of DSC- and Dynamic Contrast-Enhanced MRI in the Preoperative Grading of Astrocytomas
  • Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas
  • The 18-kDa Mitochondrial Translocator Protein in Human Gliomas: An 11C-(R)PK11195 PET Imaging and Neuropathology Study
  • Semi-automated and automated glioma grading using dynamic susceptibility-weighted contrast-enhanced perfusion MRI relative cerebral blood volume measurements
  • Imaging Characteristics of Oligodendrogliomas That Predict Grade
  • Biology, genetics and imaging of glial cell tumours
  • Imaging biomarkers of angiogenesis and the microvascular environment in cerebral tumours
  • Correlation of MR Relative Cerebral Blood Volume Measurements with Cellular Density and Proliferation in High-Grade Gliomas: An Image-Guided Biopsy Study
  • Enhancing Fraction in Glioma and Its Relationship to the Tumoral Vascular Microenvironment: A Dynamic Contrast-Enhanced MR Imaging Study
  • Spin-Echo Echo-Planar Perfusion MR Imaging in the Differential Diagnosis of Solitary Enhancing Brain Lesions: Distinguishing Solitary Metastases from Primary Glioma
  • Analysis of 11C-methionine Uptake in Low-Grade Gliomas and Correlation with Proliferative Activity
  • Histogram Analysis of MR Imaging-Derived Cerebral Blood Volume Maps: Combined Glioma Grading and Identification of Low-Grade Oligodendroglial Subtypes
  • Inclusion or Exclusion of Intratumoral Vessels in Relative Cerebral Blood Volume Characterization in Low-Grade Gliomas: Does It Make a Difference?
  • Can Proton MR Spectroscopic and Perfusion Imaging Differentiate Between Neoplastic and Nonneoplastic Brain Lesions in Adults?
  • Comparing Perfusion Metrics Obtained from a Single Compartment Versus Pharmacokinetic Modeling Methods Using Dynamic Susceptibility Contrast-Enhanced Perfusion MR Imaging with Glioma Grade
  • Low-grade gliomas in adults.
  • Update on Brain Tumor Imaging: From Anatomy to Physiology
  • Comparison of Microvascular Permeability Measurements, Ktrans, Determined with Conventional Steady-State T1-Weighted and First-Pass T2*-Weighted MR Imaging Methods in Gliomas and Meningiomas.
  • Assessment of Diagnostic Accuracy of Perfusion MR Imaging in Primary and Metastatic Solitary Malignant Brain Tumors
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Quiet PROPELLER MRI Techniques Match the Quality of Conventional PROPELLER Brain Imaging Techniques
  • Predictors of Reperfusion in Patients with Acute Ischemic Stroke
  • Enhanced Axonal Metabolism during Early Natalizumab Treatment in Relapsing-Remitting Multiple Sclerosis
Show more BRAIN

Similar Articles

Advertisement

News and Updates

  • Lucien Levy Best Research Article Award
  • Thanks to our 2020 Distinguished Reviewers
  • Press Releases

Resources

  • Evidence-Based Medicine Level Guide
  • How to Participate in a Tweet Chat
  • AJNR Podcast Archive
  • Ideas for Publicizing Your Research
  • Librarian Resources
  • Terms and Conditions

Opportunities

  • Share Your Art in Perspectives
  • Get Peer Review Credit from Publons
  • Moderate a Tweet Chat

American Society of Neuroradiology

  • Neurographics
  • ASNR Annual Meeting
  • Fellowship Portal
  • Position Statements

© 2021 by the American Society of Neuroradiology | Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire