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 Experiment Videos

Grading astrocytomas

L S Adelman1

  • 1Tufts University School of Medicine, Boston, Massachusetts.

Neurosurgery Clinics of North America
|January 1, 1994
PubMed
Summary
This summary is machine-generated.

Brain tumor grading systems aim to predict patient outcomes. While grading systems have evolved from four to three and back to four grades, evidence supporting their validity is limited.

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

Automated system for the analysis of muscle and nerve biopsies.

Applied optics·2010
Same author

Beta-amyloid peptide expression is sufficient for myotube death: implications for human inclusion body myopathy.

Molecular and cellular neurosciences·2001
Same author

Favorable effect of VEGF gene transfer on ischemic peripheral neuropathy.

Nature medicine·2000
Same author

Influence of diabetes mellitus on chronic inflammatory demyelinating polyneuropathy.

Muscle & nerve·1999
Same author

Chronic motor axonal neuropathy: pathological evidence of inflammatory polyradiculoneuropathy.

Muscle & nerve·1999
Same author

Intracerebral hemorrhage in two patients with Down's syndrome and cerebral amyloid angiopathy.

Acta neuropathologica·1998
Same journal

Intramedullary Spinal Cord Tumors.

Neurosurgery clinics of North America·2026
Same journal

Spinal Cord Deformities Associated with Intramedullary Spinal Cord Tumors.

Neurosurgery clinics of North America·2026
Same journal

Radiation Therapy for Spinal Cord Tumors.

Neurosurgery clinics of North America·2026
Same journal

Treatment Strategies of Intramedullary Spinal Cord Tumors.

Neurosurgery clinics of North America·2026
Same journal

Vascular Lesions of the Spinal Cord: Arteriovenous and Cavernous Malformations.

Neurosurgery clinics of North America·2026
Same journal

Hemangioblastomas of the Spinal Cord.

Neurosurgery clinics of North America·2026
See all related articles

Area of Science:

  • Neuro-oncology
  • Pathology
  • Clinical Oncology

Background:

  • Brain tumor grading is historically linked to prognosis prediction.
  • Grading systems have evolved, with a shift from four to three grades and a recent return to four grades.
  • The scientific evidence supporting the validity of current brain tumor grading systems is less robust than commonly assumed.

Purpose of the Study:

  • To critically evaluate the historical evolution and current validity of brain tumor grading systems.
  • To assess the evidence base for the prognostic significance of different brain tumor grading schemes.
  • To highlight the need for more rigorous validation of brain tumor grading methodologies.

Main Methods:

  • Literature review of historical and contemporary brain tumor grading systems.

Related Experiment Videos

  • Analysis of studies investigating the prognostic accuracy of various grading scales.
  • Critical appraisal of the evidence supporting the clinical utility of current grading practices.

    • Main Results:

    • The evolution of brain tumor grading systems shows a trend towards complexity and frequent revisions.
    • Existing evidence provides limited support for the definitive prognostic value of current four-grade systems.
    • The validity and reliability of brain tumor grading require further empirical investigation.

    Conclusions:

    • Current brain tumor grading systems, particularly the prevalent four-grade models, lack substantial evidence for their prognostic validity.
    • The historical shifts in grading systems underscore the ongoing challenges in accurately predicting brain tumor outcomes.
    • Further research is essential to develop and validate more reliable methods for brain tumor classification and prognosis.