Literature DB >> 15823671

Diffusion tensor imaging for preoperative evaluation of tumor grade in gliomas.

Takashi Inoue1, Kuniaki Ogasawara, Takaaki Beppu, Akira Ogawa, Hiroyuki Kabasawa.   

Abstract

The relationship between water diffusion parameters measured using diffusion tensor imaging (DTI) and histological malignancy of gliomas was investigated. DTI was performed using a 3.0T MR scanner in 41 consecutive patients with histologically proven gliomas. Fractional anisotropy (FA) and mean diffusivity (MD) were calculated and compared with the WHO classification of the gliomas. The FA values of grade 1 gliomas (0.150 +/- 0.017) were significantly lower than those of grade 3 (0.23 +/- 0.033) or grade 4 gliomas (0.229 +/- 0.033) (P < 0.0001, respectively). The FA values of grade 2 gliomas (0.159 +/- 0.018) were significantly lower than those of grade 3 or grade 4 gliomas (P = 0.0002, P < 0.0001, respectively). The FA threshold between low grade and high grade gliomas was 0.188. The MD values of grade 1 gliomas (1619.1 +/- 157.4 x 10(-6) mm2/s) were significantly higher than those of grade 3 (1084.5 +/- 218.9 x 10(-6) mm2/s) (P = 0.0036) or grade 4 gliomas (1098.0 +/- 291.6 x 10(-6) mm2/s) (P = 0.0002). The MD values were not correlated with the other grades of glioma. FA values can distinguish between high grade and low grade gliomas. This is useful in deciding the surgical strategy or selecting the site of stereotactic biopsy.

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Year:  2005        PMID: 15823671     DOI: 10.1016/j.clineuro.2004.06.011

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  51 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

2.  The role of magnetic resonance imaging in oncology.

Authors:  Concepción González Hernando; Laura Esteban; Teresa Cañas; Enrique Van den Brule; Miguel Pastrana
Journal:  Clin Transl Oncol       Date:  2010-09       Impact factor: 3.405

Review 3.  Treatment induced necrosis versus recurrent/progressing brain tumor: going beyond the boundaries of conventional morphologic imaging.

Authors:  Rajan Jain; Jayant Narang; Pia M Sundgren; David Hearshen; Sona Saksena; Jack P Rock; Jorge Gutierrez; Tom Mikkelsen
Journal:  J Neurooncol       Date:  2010-02-24       Impact factor: 4.130

4.  Diffusion tensor imaging at the crossroads: fiber tracking meets tissue characterization in brain tumors.

Authors:  Aaron S Field
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

5.  3-T MRI with diffusion tensor imaging and tractography of the median nerve.

Authors:  Céline Barcelo; Marie Faruch; Franck Lapègue; Marie-Aurélie Bayol; Nicolas Sans
Journal:  Eur Radiol       Date:  2013-07-07       Impact factor: 5.315

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.  Potential role of fractional anisotropy derived from diffusion tensor imaging in differentiating high-grade gliomas from low-grade gliomas: a meta-analysis.

Authors:  Ruofei Liang; Xiang Wang; Mao Li; Yuan Yang; Jiewen Luo; Qing Mao; Yanhui Liu
Journal:  Int J Clin Exp Med       Date:  2014-10-15

Review 8.  Differentiating tumor recurrence from treatment necrosis: a review of neuro-oncologic imaging strategies.

Authors:  Nishant Verma; Matthew C Cowperthwaite; Mark G Burnett; Mia K Markey
Journal:  Neuro Oncol       Date:  2013-01-16       Impact factor: 12.300

Review 9.  Clinical Imaging for Diagnostic Challenges in the Management of Gliomas: A Review.

Authors:  Alipi V Bonm; Reed Ritterbusch; Patrick Throckmorton; Jerome J Graber
Journal:  J Neuroimaging       Date:  2020-01-10       Impact factor: 2.486

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

Authors:  Thomas L Chenevert; Brian D Ross
Journal:  Neuroimaging Clin N Am       Date:  2009-11       Impact factor: 2.264

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