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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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White Matter tract involvement in brain tumors: a diffusion tensor imaging analysis.

Pao Sheng Yen1, Beng Tiong Teo, Cheng Hui Chiu

  • 1Department of Medical Imaging, Buddhist Tzu Chi General Hospital and Tzu Chi University, Hualien, Taiwan. bb1472@hotmail.com

Surgical Neurology
|July 18, 2009
PubMed
Summary

Diffusion tensor imaging (DTI) quantifies white matter (WM) changes near brain tumors. Fractional anisotropy (FA) changes help predict WM tract viability, aiding surgical planning.

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Last Updated: Jun 21, 2026

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DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
10:05

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

Published on: August 26, 2014

Area of Science:

  • Neuroimaging
  • Radiology
  • Neuro-oncology

Background:

  • Accurate characterization of white matter (WM) alterations using Magnetic Resonance (MR) imaging is crucial for pre- and intraoperative assessment of brain tumors.
  • Diffusion Tensor Imaging (DTI) provides quantitative metrics, such as Fractional Anisotropy (FA), to assess WM integrity.
  • Understanding the extent and severity of WM tract alterations near tumors is key to determining their preoperative viability and resectability.

Purpose of the Study:

  • To characterize the extent and severity of white matter (WM) tract alterations adjacent to brain tumors using DTI.
  • To determine the preoperative viability or resectability of WM tracts based on DTI metrics.
  • To correlate Fractional Anisotropy (FA) changes with specific types of WM alterations (edema, displacement, disruption, infiltration).

Main Methods:

  • MR DTI was performed on 21 patients with brain tumors.
  • Eighty-six WM tracts (43 lesioned and 43 contralateral controls) were analyzed.
  • WM tracts were categorized by neuroradiologists as edematous, displaced, disrupted, or infiltrated using directionally encoded color maps and FA values. A mixed model analysis compared FA between lesioned and control tracts.

Main Results:

  • WM disruption showed a significant difference in FA compared to contralateral hemispheres (P = .0056).
  • Edema and disruption FA values were significantly lower than displacement FA values (P < .05).
  • A Fractional Anisotropy change (DeltaFA%) less than -30% indicated WM disruption; positive DeltaFA% suggested edema or displacement; 0% to -30% indicated displacement or infiltration.

Conclusions:

  • Quantitative analysis of DTI data, specifically FA changes, can offer insights into the preoperative status of white matter tracts.
  • This approach may help predict whether WM tracts adjacent to brain tumors are salvageable, guiding surgical decisions.