Literature DB >> 12748097

Peritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumors.

Stanley Lu1, Daniel Ahn, Glyn Johnson, Soonmee Cha.   

Abstract

BACKGROUND AND
PURPOSE: Diffusion tensor imaging (DTI) is an advanced MR technique that describes the movement of water molecules by using two metrics, mean diffusivity (MD), and fractional anisotropy (FA), which represent the magnitude and directionality of water diffusion, respectively. We hypothesize that alterations in these values within the tissue surrounding brain tumors reflect combinations of increased water content and tumor infiltration and that these changes can be used to differentiate high-grade gliomas from metastatic lesions.
METHODS: DTI was performed in 12 patients with high-grade gliomas and in 12 with metastatic lesions. DTI measurements were obtained from regions of interest (ROIs) placed on normal-appearing white matter and on the vasogenic edema, the T2 signal intensity abnormality surrounding each tumor.
RESULTS: The peritumoral region of both gliomas and metastatic tumors displayed significant increases in MD (P <.005) and significant decreases in FA (P <.005) when compared with those of normal-appearing white matter. Furthermore, the peritumoral MD of metastatic lesions measured significantly greater than that of gliomas (P <.005). Peritumoral FA measurements, on the other hand, showed no such discrepancy.
CONCLUSION: When compared with an internal control, diffusion metrics are clearly altered within the vasogenic edema surrounding both high-grade gliomas and metastatic tumors, reflecting increased extracellular water. Although peritumoral MD can be used to distinguish high-grade gliomas from metastatic tumors, peritumoral FA demonstrated no statistically significant difference. The FA changes surrounding gliomas, therefore, can be attributed not only to increased water content, but also to tumor infiltration.

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Mesh:

Year:  2003        PMID: 12748097      PMCID: PMC7975803     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  13 in total

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2.  A geometric analysis of diffusion tensor measurements of the human brain.

Authors:  A L Alexander; K Hasan; G Kindlmann; D L Parker; J S Tsuruda
Journal:  Magn Reson Med       Date:  2000-08       Impact factor: 4.668

3.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
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4.  MR diffusion imaging of human intracranial tumours.

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5.  The role of diffusion-weighted imaging in patients with brain tumors.

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6.  Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis.

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Authors:  U C Wieshmann; C A Clark; M R Symms; F Franconi; G J Barker; S D Shorvon
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8.  Diffusion tensor imaging can detect and quantify corticospinal tract degeneration after stroke.

Authors:  D J Werring; A T Toosy; C A Clark; G J Parker; G J Barker; D H Miller; A J Thompson
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10.  Diffusion tensor imaging demonstrates deviation of fibres in normal appearing white matter adjacent to a brain tumour.

Authors:  U C Wieshmann; M R Symms; G J Parker; C A Clark; L Lemieux; G J Barker; S D Shorvon
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  105 in total

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3.  Whole-brain N-acetylaspartate spectroscopy and diffusion tensor imaging in patients with newly diagnosed gliomas: a preliminary study.

Authors:  M Inglese; S Brown; G Johnson; M Law; E Knopp; O Gonen
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5.  Pretreatment ADC Values Predict Response to Radiosurgery in Vestibular Schwannomas.

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6.  Role of rCBV values derived from dynamic susceptibility contrast-enhanced magnetic resonance imaging in differentiating CNS lymphoma from high grade glioma: a meta-analysis.

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Review 7.  Update on brain tumor imaging: from anatomy to physiology.

Authors:  S Cha
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8.  Unique patterns of diffusion directionality in rat brain tumors revealed by high-resolution diffusion tensor MRI.

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9.  Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging.

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10.  Diffusion imaging for therapy response assessment of brain tumor.

Authors:  Thomas L Chenevert; Brian D Ross
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