Literature DB >> 16958398

Change of diffusion anisotropy in patients with acute cerebral infarction using statistical parametric analysis.

Naomi Morita1, Masafumi Harada, Masaaki Uno, Kaori Furutani, Hiromu Nishitani.   

Abstract

PURPOSE: We conducted statistical parametric comparison of fractional anisotropy (FA) images and quantified FA values to determine whether significant change occurs in the ischemic region.
MATERIALS AND METHODS: The subjects were 20 patients seen within 24 h after onset of ischemia. For statistical comparison of FA images, a sample FA image was coordinated by the Talairach template, and each FA map was normalized. Statistical comparison was conducted using SPM99. Regions of interest were set in the same region on apparent diffusion coefficient (ADC) and FA maps, the region being consistent with the hyperintense region on diffusion-weighted images (DWIs). The contralateral region was also measured to obtain asymmetry ratios of ADC and FA.
RESULTS: Regions with areas of statistical significance on FA images were found only in the white matter of three patients, although the regions were smaller than hyperintense regions on DWIs. The mean ADC and FA ratios were 0.64 +/- 0.16 and 0.93 +/- 0.09, respectively, and the degree of FA change was less than that of the ADC change. Significant change in diffusion anisotropy was limited to the severely infarcted core of the white matter.
CONCLUSION: We believe statistical comparison of FA maps to be useful for detecting different regions of diffusion anisotropy.

Entities:  

Mesh:

Year:  2006        PMID: 16958398     DOI: 10.1007/s11604-005-1535-z

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  11 in total

1.  Toward a quantitative assessment of diffusion anisotropy.

Authors:  C Pierpaoli; P J Basser
Journal:  Magn Reson Med       Date:  1996-12       Impact factor: 4.668

2.  Multispectral analysis of the temporal evolution of cerebral ischemia in the rat brain.

Authors:  R A Carano; F Li; K Irie; K G Helmer; M D Silva; M Fisher; C H Sotak
Journal:  J Magn Reson Imaging       Date:  2000-12       Impact factor: 4.813

3.  An evaluation of the time dependence of the anisotropy of the water diffusion tensor in acute human ischemia.

Authors:  F Zelaya; N Flood; J B Chalk; D Wang; D M Doddrell; W Strugnell; M Benson; L Ostergaard; J Semple; S Eagle
Journal:  Magn Reson Imaging       Date:  1999-04       Impact factor: 2.546

4.  Human acute cerebral ischemia: detection of changes in water diffusion anisotropy by using MR imaging.

Authors:  A G Sorensen; O Wu; W A Copen; T L Davis; R G Gonzalez; W J Koroshetz; T G Reese; B R Rosen; V J Wedeen; R M Weisskoff
Journal:  Radiology       Date:  1999-09       Impact factor: 11.105

5.  Acute and subacute ischemic stroke at high-field-strength (3.0-T) diffusion-weighted MR imaging: intraindividual comparative study.

Authors:  Christiane K Kuhl; Jochen Textor; Jürgen Gieseke; Marcus von Falkenhausen; Sunhild Gernert; Horst Urbach; Hans H Schild
Journal:  Radiology       Date:  2004-12-15       Impact factor: 11.105

6.  Water diffusion and acute stroke.

Authors:  P van Gelderen; M H de Vleeschouwer; D DesPres; J Pekar; P C van Zijl; C T Moonen
Journal:  Magn Reson Med       Date:  1994-02       Impact factor: 4.668

7.  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
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-08       Impact factor: 10.154

8.  Diffusion tensor imaging in patients with epilepsy and malformations of cortical development.

Authors:  S H Eriksson; F J Rugg-Gunn; M R Symms; G J Barker; J S Duncan
Journal:  Brain       Date:  2001-03       Impact factor: 13.501

9.  Diffusion tensor imaging of cryptogenic and acquired partial epilepsies.

Authors:  F J Rugg-Gunn; S H Eriksson; M R Symms; G J Barker; J S Duncan
Journal:  Brain       Date:  2001-03       Impact factor: 13.501

10.  Diffusion anisotropy measurements in ischaemic stroke of the human brain.

Authors:  P A Armitage; M E Bastin; I Marshall; J M Wardlaw; J Cannon
Journal:  MAGMA       Date:  1998-08       Impact factor: 2.533

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  2 in total

Review 1.  Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Authors:  Tracy D Farr; Susanne Wegener
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

2.  Diffusion Tensor-Derived Properties of Benign Oligemia, True "at Risk" Penumbra, and Infarct Core during the First Three Hours of Stroke Onset: A Rat Model.

Authors:  Fang-Ying Chiu; Duen-Pang Kuo; Yung-Chieh Chen; Yu-Chieh Kao; Hsiao-Wen Chung; Cheng-Yu Chen
Journal:  Korean J Radiol       Date:  2018-10-18       Impact factor: 3.500

  2 in total

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