Literature DB >> 15639528

Fractional anisotropy value by diffusion tensor magnetic resonance imaging as a predictor of cell density and proliferation activity of glioblastomas.

Takaaki Beppu1, Takashi Inoue, Yuji Shibata, Noriyuki Yamada, Akira Kurose, Kuniaki Ogasawara, Akira Ogawa, Hiroyuki Kabasawa.   

Abstract

BACKGROUND: 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 magnetic resonance imaging (DTI). The FA value has been suggested as an indicator of the cell density of astrocytic tumors. The aim of the present study was to confirm beyond doubt that FA values indicate cell density even when limited in glioblastomas and to determine whether the FA value of a given patient predicts proliferation activity in the individual glioblastoma.
METHODS: We performed DTI in 19 patients with glioblastoma and measured the FA values of tumor and normal brain regions prior to computed tomography-guided stereotactic biopsy. Differences in mean FA value between normal brain regions and glioblastoma lesion were compared. Cell density and MIB-1 indices were examined using tumor specimens obtained from biopsies. Correlation among FA values, cell density, and MIB-1 indices was also evaluated.
RESULTS: The mean FA value significantly differed between normal brain regions and glioblastoma lesions. Positive correlation was observed between FA value and cell density (r = 0.73, P < 0.05) and between FA value and MIB-1 index (r = 0.80, P < 0.05).
CONCLUSIONS: Our results suggest that the FA value of glioblastoma as determined by DTI prior to surgery is a good predictor of cell density and, consequently, proliferation activity.

Entities:  

Mesh:

Year:  2005        PMID: 15639528     DOI: 10.1016/j.surneu.2004.02.034

Source DB:  PubMed          Journal:  Surg Neurol        ISSN: 0090-3019


  65 in total

1.  Differentiation of tumefactive demyelinating lesions from high-grade gliomas with the use of diffusion tensor imaging.

Authors:  C H Toh; K-C Wei; S-H Ng; Y-L Wan; M Castillo; C-P Lin
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-15       Impact factor: 3.825

Review 2.  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

3.  Combination of diffusion tensor imaging and conventional MRI correlates with isocitrate dehydrogenase 1/2 mutations but not 1p/19q genotyping in oligodendroglial tumours.

Authors:  Ji Xiong; Wenli Tan; Jianbo Wen; Jiawei Pan; Yin Wang; Jun Zhang; Daoying Geng
Journal:  Eur Radiol       Date:  2015-09-22       Impact factor: 5.315

Review 4.  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

5.  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

6.  Diffusion-tensor imaging as an adjunct to dynamic contrast-enhanced MRI for improved accuracy of differential diagnosis between breast ductal carcinoma in situ and invasive breast carcinoma.

Authors:  Yuan Wang; Xiaopeng Zhang; Kun Cao; Yanling Li; Xiaoting Li; Liping Qi; Lei Tang; Zhilong Wang; Shunyu Gao
Journal:  Chin J Cancer Res       Date:  2015-04       Impact factor: 5.087

Review 7.  State-of-the-art MRI techniques in neuroradiology: principles, pitfalls, and clinical applications.

Authors:  Magalie Viallon; Victor Cuvinciuc; Benedicte Delattre; Laura Merlini; Isabelle Barnaure-Nachbar; Seema Toso-Patel; Minerva Becker; Karl-Olof Lovblad; Sven Haller
Journal:  Neuroradiology       Date:  2015-04-10       Impact factor: 2.804

8.  Smoking and the developing brain: altered white matter microstructure in attention-deficit/hyperactivity disorder and healthy controls.

Authors:  Hanneke van Ewijk; Annabeth P Groenman; Marcel P Zwiers; Dirk J Heslenfeld; Stephen V Faraone; Catharina A Hartman; Marjolein Luman; Corina U Greven; Pieter J Hoekstra; Barbara Franke; Jan Buitelaar; Jaap Oosterlaan
Journal:  Hum Brain Mapp       Date:  2014-12-06       Impact factor: 5.038

9.  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

10.  Structural modifications of the brain in acclimatization to high-altitude.

Authors:  Jiaxing Zhang; Xiaodan Yan; Jinfu Shi; Qiyong Gong; Xuchu Weng; Yijun Liu
Journal:  PLoS One       Date:  2010-07-06       Impact factor: 3.240

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