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

Diffusion-weighted imaging with calculated apparent diffusion coefficient of enhancing extra-axial masses.

U Dorenbeck1, I Q Grunwald, J Schlaier

  • 1Departments of Diagnostic Radiology, University Hospital of Regensburg, Regensburg, Germany. ulrich.dorenbeck@ukb.uni-bonn.de

Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|October 29, 2005
PubMed
Summary

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

World Federation for Interventional Stroke Treatment (WIST) multispecialty training guidelines for endovascular stroke intervention: Time is brain! - Response to commentary by UKNG.

Clinical radiology·2024
Same author

Mobile stroke unit use for prehospital stroke treatment-an update.

Der Radiologe·2018
Same author

Intraoperative clinical testing overestimates the therapeutic window of the permanent DBS electrode in the subthalamic nucleus.

Acta neurochirurgica·2017
Same author

The impact of white matter lesions on the cognitive outcome of subthalamic nucleus deep brain stimulation in Parkinson's disease.

Clinical neurology and neurosurgery·2017
Same author

[A hitchhiker's guide to the neuron galaxy : On the trail of the secrets of the brain with resting-state fMRI].

Der Radiologe·2016
Same author

Prehospital Imaging-Based Triage of Head Trauma with a Mobile Stroke Unit: First Evidence and Literature Review.

Journal of neuroimaging : official journal of the American Society of Neuroimaging·2016

Diffusion-weighted imaging (DWI) with apparent diffusion coefficients (ADCs) showed statistically significant differences between intracranial lymphomas, meningiomas, and metastases. However, differentiating these tumors using ADCs alone remains questionable.

Area of Science:

  • Neuroradiology
  • Medical Imaging
  • Oncology

Background:

  • Intracranial contrast-enhancing tumors such as meningiomas, metastases, lymphomas, and schwannomas often present with similar imaging characteristics.
  • Accurate differentiation is crucial for appropriate diagnosis and treatment planning.

Purpose of the Study:

  • To evaluate the efficacy of diffusion-weighted imaging (DWI) and apparent diffusion coefficients (ADCs) in differentiating various intracranial contrast-enhancing tumors.
  • To determine if ADC values can reliably distinguish between meningiomas, metastases, lymphomas, and schwannomas.

Main Methods:

  • A study involving 29 patients with intracranial contrast-enhancing lesions (9 meningiomas, 7 metastases, 6 lymphomas, 7 schwannomas).
  • Analysis of apparent diffusion coefficient (ADC) values within the contrast-enhancing lesions and surrounding edema.

Related Experiment Videos

  • Statistical comparison of ADC values across different tumor types.
  • Main Results:

    • Lymphomas exhibited the lowest ADC values (0.59 ± 0.09 x 10⁻³ mm²/sec).
    • Meningiomas had a mean ADC of 0.98 ± 0.18 x 10⁻³ mm²/sec.
    • Schwannomas and metastases showed higher ADC values (1.33 ± 0.28 x 10⁻³ mm²/sec and 1.05 ± 0.20 x 10⁻³ mm²/sec, respectively).
    • Statistically significant differences in ADC values were observed between lymphomas, meningiomas, and metastases.

    Conclusions:

    • While significant differences in ADC values exist between lymphomas, meningiomas, and metastases, a definitive differentiation solely based on ADC values is challenging.
    • The study highlights the potential of ADC values as a supplementary tool but suggests limitations due to sample size and value variability.