Diffusion Tensor Imaging in Cerebral Tumor Diagnosis and Therapy

Top Magn Reson Imaging. 2004 Oct;15(5):315-24. doi: 10.1097/00002142-200410000-00004.

Abstract

Diffusion-weighted MR images and their analysis using the tensor model open up many new possibilities for tissue characterization, surgical planning, and treatment follow-up in patients with cerebral neoplasms. These possibilities are only just beginning to be fully explored. This article reviews the physical principles underlying diffusion tensor imaging (DTI); the various postprocessing methods available for DTI data in the context of tumor imaging; the commonly encountered patterns of tumor-related alteration to cerebral white matter, as depicted by directionally encoded color maps; and the current state of the art in DTI-based tumor diagnosis and treatment planning.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.
  • Review

MeSH terms

  • Anisotropy
  • Brain Neoplasms / diagnosis*
  • Brain Neoplasms / therapy
  • Diagnosis, Differential
  • Diffusion Magnetic Resonance Imaging / methods*
  • Humans
  • Image Processing, Computer-Assisted
  • Patient Care Planning
  • Sensitivity and Specificity