Literature DB >> 12825815

Measurement of fractional anisotropy using diffusion tensor MRI in supratentorial astrocytic tumors.

Takaaki Beppu1, Takashi Inoue, Yuji Shibata, Akira Kurose, Hiroshi Arai, Kuniaki Ogasawara, Akira Ogawa, Shinichi Nakamura, Hiroyuki Kabasawa.   

Abstract

In vivo, water diffusion displays directionality due to presence of complex microstructural barriers in tissue. The extent of directionality of water diffusion can be expressed as a fractional anisotropy (FA) value, using diffusion tensor MR imaging (DTI). The aim of this study was to determine whether FA values indicate microstructures in astrocytic tumors. We performed DTI in 31 patients with astrocytic tumor, and measured the FA values of tumor and normal brain regions prior to CT-guided stereotactic biopsy. After biopsy, FA values were compared to assess the cellularity and vascularity of tumor tissue. Although mean FA values trended to differ among histological types, all mean tumor FA values were lower than those of normal brain regions. Positive correlation was observed between FA values and both cellularity (r = 0.65, p < 0.05) and vascularity (r = 0.45, p < 0.05). We had hypothesized that the FA value of an astrocytic tumor would be determined by a balance between factors increasing the directionality of water diffusion, such as high cellularity and/or vascularity, and factors decreasing the directionality of water diffusion, such as fiber destruction. However, our results suggest that the FA values of glioblastoma, anaplastic astrocytoma, diffuse astrocytoma and pilocytic astrocytoma are largely affected by cellularity and/or vascularity, whereas that of gliomatosis cerebri are largely affected by the preservation of nerve fibers. Measurement of FA value using DTI will allow prediction of histological characteristics such as cellularity, vascularity and/or fiber structure in astrocytic tumors.

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Year:  2003        PMID: 12825815     DOI: 10.1023/a:1023977520909

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  19 in total

1.  Highly diffusion-sensitized MRI of brain: dissociation of gray and white matter.

Authors:  T Yoshiura; O Wu; A Zaheer; T G Reese; A G Sorensen
Journal:  Magn Reson Med       Date:  2001-05       Impact factor: 4.668

2.  Diffusion tensor MR imaging of the brain: effect of diffusion weighting on trace and anisotropy measurements.

Authors:  E R Melhem; R Itoh; L Jones; P B Barker
Journal:  AJNR Am J Neuroradiol       Date:  2000 Nov-Dec       Impact factor: 3.825

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
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

4.  Diffusion tensor MR imaging of the human brain.

Authors:  C Pierpaoli; P Jezzard; P J Basser; A Barnett; G Di Chiro
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

5.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI.

Authors:  P J Basser; C Pierpaoli
Journal:  J Magn Reson B       Date:  1996-06

6.  Toward a quantitative assessment of diffusion anisotropy.

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

7.  Use of avidin-biotin-peroxidase complex (ABC) in immunoperoxidase techniques: a comparison between ABC and unlabeled antibody (PAP) procedures.

Authors:  S M Hsu; L Raine; H Fanger
Journal:  J Histochem Cytochem       Date:  1981-04       Impact factor: 2.479

8.  Diffusion tensor magnetic resonance imaging in multiple sclerosis.

Authors:  M Filippi; M Cercignani; M Inglese; M A Horsfield; G Comi
Journal:  Neurology       Date:  2001-02-13       Impact factor: 9.910

9.  Investigation of apparent diffusion coefficient and diffusion tensor anisotrophy in acute and chronic multiple sclerosis lesions.

Authors:  A L Tievsky; T Ptak; J Farkas
Journal:  AJNR Am J Neuroradiol       Date:  1999-09       Impact factor: 3.825

10.  Investigation of MS normal-appearing brain using diffusion tensor MRI with clinical correlations.

Authors:  O Ciccarelli; D J Werring; C A Wheeler-Kingshott; G J Barker; G J Parker; A J Thompson; D H Miller
Journal:  Neurology       Date:  2001-04-10       Impact factor: 9.910

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  45 in total

Review 1.  Methodology of diffusion-weighted, diffusion tensor and magnetisation transfer imaging.

Authors:  S J Price; D J Tozer; J H Gillard
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

Review 2.  Diffusion tensor imaging of the brain.

Authors:  Andrew L Alexander; Jee Eun Lee; Mariana Lazar; Aaron S Field
Journal:  Neurotherapeutics       Date:  2007-07       Impact factor: 7.620

3.  Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery.

Authors:  Neculai Archip; Olivier Clatz; Stephen Whalen; Dan Kacher; Andriy Fedorov; Andriy Kot; Nikos Chrisochoides; Ferenc Jolesz; Alexandra Golby; Peter M Black; Simon K Warfield
Journal:  Neuroimage       Date:  2006-12-23       Impact factor: 6.556

4.  Neuroradiological assessment of newly diagnosed glioblastoma.

Authors:  Srini Mukundan; Chad Holder; Jeffrey J Olson
Journal:  J Neurooncol       Date:  2008-08-20       Impact factor: 4.130

5.  Definition of K(trans) and FA thresholds for better assessment of experimental glioma using high-field MRI: a feasibility study.

Authors:  T Engelhorn; M A Schwarz; A Hess; L Budinsky; P Pitann; I Eyüpoglu; A Doerfler
Journal:  Clin Neuroradiol       Date:  2013-12-18       Impact factor: 3.649

6.  MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas.

Authors:  Xiang Liu; Wei Tian; Balasubramanya Kolar; Gabrielle A Yeaney; Xing Qiu; Mahlon D Johnson; Sven Ekholm
Journal:  Neuro Oncol       Date:  2011-02-04       Impact factor: 12.300

7.  Can diffusion tensor imaging noninvasively detect IDH1 gene mutations in astrogliomas? A retrospective study of 112 cases.

Authors:  W L Tan; W Y Huang; B Yin; J Xiong; J S Wu; D Y Geng
Journal:  AJNR Am J Neuroradiol       Date:  2014-02-20       Impact factor: 3.825

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

Authors:  Sumei Wang; Sungheon Kim; Sanjeev Chawla; Ronald L Wolf; Wei-Guo Zhang; Donald M O'Rourke; Kevin D Judy; Elias R Melhem; Harish Poptani
Journal:  Neuroimage       Date:  2008-10-07       Impact factor: 6.556

9.  Significant temporal evolution of diffusion anisotropy for evaluating early response to radiosurgery in patients with vestibular schwannoma: findings from functional diffusion maps.

Authors:  Y-C Lin; C-C Wang; Y Y Wai; Y-L Wan; S-H Ng; Y-L Chen; H-L Liu; J-J Wang
Journal:  AJNR Am J Neuroradiol       Date:  2009-09-24       Impact factor: 3.825

10.  Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas.

Authors:  Lamiaa El-Serougy; Ahmed Abdel Khalek Abdel Razek; Amani Ezzat; Hany Eldawoody; Ahmad El-Morsy
Journal:  Neuroradiol J       Date:  2016-08-25
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