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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Related Experiment Video

Updated: Jul 15, 2026

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
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Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

Intraaxial brain masses: MR imaging-based diagnostic strategy--initial experience.

Riyadh N Al-Okaili1, Jaroslaw Krejza, John H Woo

  • 1Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.

Radiology
|April 26, 2007
PubMed
Summary

This study proposes an accurate magnetic resonance (MR) imaging strategy to differentiate various intraaxial brain masses. The developed MR imaging approach aids in distinguishing neoplastic from nonneoplastic diseases and grading primary brain tumors.

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Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
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Last Updated: Jul 15, 2026

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
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Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Area of Science:

  • Neuroimaging
  • Radiology
  • Oncology

Background:

  • Accurate differentiation of intraaxial brain masses is crucial for effective patient management.
  • Conventional and advanced magnetic resonance (MR) imaging techniques offer potential for non-invasive tissue characterization.
  • A standardized MR imaging strategy can improve diagnostic accuracy for a wide spectrum of intraaxial lesions.

Purpose of the Study:

  • To develop and retrospectively assess the diagnostic accuracy of an integrated MR imaging strategy.
  • The strategy aims to differentiate various intraaxial brain masses, including neoplasms, abscesses, lymphomas, and demyelinating lesions.
  • Histologic findings or clinical diagnosis served as the reference standard for accuracy determination.

Main Methods:

  • A classification strategy was devised using conventional MR imaging, diffusion-weighted MR imaging, perfusion MR imaging, and proton MR spectroscopy.
  • The strategy was applied to data from 111 patients with available MR imaging results over a 5-year period.
  • Bayesian statistics were employed to evaluate the strategy's performance in clinical tasks.

Main Results:

  • The study included data from 40 patients who underwent all specified MR imaging sequences.
  • The integrated MR imaging strategy demonstrated high accuracy: 90% for neoplastic vs. nonneoplastic differentiation, 90% for high-grade vs. low-grade neoplasm discrimination, and 85% for differentiating high-grade neoplasms/lymphoma from low-grade neoplasms/nonneoplastic diseases.
  • High sensitivity and specificity were achieved across different diagnostic tasks, with specificities reaching 100% for high-grade vs. low-grade neoplasm discrimination.

Conclusions:

  • An integrated MR imaging-based strategy effectively differentiates several types of intraaxial brain masses.
  • The proposed strategy shows promising accuracy for classifying brain lesions, aiding in diagnosis and treatment planning.
  • Further validation in prospective studies may confirm the clinical utility of this advanced MR imaging approach.