Literature DB >> 18672074

Fractional anisotropy and tumor cell density of the tumor core show positive correlation in diffusion tensor magnetic resonance imaging of malignant brain tumors.

Manabu Kinoshita1, Naoya Hashimoto, Tetsu Goto, Naoki Kagawa, Haruhiko Kishima, Shuichi Izumoto, Hisashi Tanaka, Norihiko Fujita, Toshiki Yoshimine.   

Abstract

A noninvasive technique for assessing tumor tissue characteristics is required to assist preoperative surgical planning for malignant brain tumors. Preoperative information on tumor cell density within a tumor would help better define the target for tumor biopsy, resulting in more accurate diagnosis and grading of malignant brain tumors. One possible source of this information is diffusion tensor imaging (DTI), although to date studies have focused on its ability to delineate white matter fiber tracks by fiber-tracking and to detect tumor infiltration around the tumor and normal white matter interface. However, the use of DTI for providing information on cell density has also been examined, although with the controversial results. In addition the exact relationships between cell density and the two key values that DTI provides, namely fractional anisotropy (FA) and mean diffusivity (MD), still need to be investigated. In the present study we performed a retrospective investigation of tumor cell density and FA and MD values in biopsy cases. We found that FA has a good positive correlation (R=0.75) and MD has a good negative correlation (R=0.70) with tumor cell density within the tumor core. Similar correlation was observed between the Ki-67 labeling index and FA (R=0.71) and MD (R=0.62). Thus, measurement of both FA and MD within the tumor core has a potential to provide detailed information on tumor cell density within the tumor. Although data obtained from DTI should be interpreted carefully and comprehensively with other imaging modalities such as positron emission tomography, DTI seems to be informative for planning the best biopsy target containing the highest cell density.

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Year:  2008        PMID: 18672074     DOI: 10.1016/j.neuroimage.2008.06.041

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  61 in total

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2.  Usefulness of diffusion tensor imaging and fiber tractography in neurological and neurosurgical pediatric diseases.

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Review 3.  Diffusion-weighted MRI for assessment of early cancer treatment response.

Authors:  Stefanie Galbán; Jean-Christophe Brisset; Alnawaz Rehemtulla; Thomas L Chenevert; Brian D Ross; Craig J Galbán
Journal:  Curr Pharm Biotechnol       Date:  2010-09-01       Impact factor: 2.837

4.  Diffusion-weighted and diffusion-tensor imaging of normal and diseased uterus.

Authors:  Duygu Kara Bozkurt; Murat Bozkurt; Mehmet Ali Nazli; Ilhan Nahit Mutlu; Ozgur Kilickesmez
Journal:  World J Radiol       Date:  2015-07-28

5.  In vivo MRI signatures of hippocampal subfield pathology in intractable epilepsy.

Authors:  Maged Goubran; Boris C Bernhardt; Diego Cantor-Rivera; Jonathan C Lau; Charlotte Blinston; Robert R Hammond; Sandrine de Ribaupierre; Jorge G Burneo; Seyed M Mirsattari; David A Steven; Andrew G Parrent; Andrea Bernasconi; Neda Bernasconi; Terry M Peters; Ali R Khan
Journal:  Hum Brain Mapp       Date:  2015-12-17       Impact factor: 5.038

6.  Application of DTI and ARFI imaging in differential diagnosis of parotid tumours.

Authors:  Jinfen Yu; Yanfei Du; Yong Lu; Weidong Zhang; Dongsheng Zhang; Guangbin Wang; Chuanting Li
Journal:  Dentomaxillofac Radiol       Date:  2016-07-22       Impact factor: 2.419

7.  Feasibility of multi-parametric PET and MRI for prediction of tumour recurrence in patients with glioblastoma.

Authors:  Michael Lundemann; Per Munck Af Rosenschöld; Aida Muhic; Vibeke A Larsen; Hans S Poulsen; Svend-Aage Engelholm; Flemming L Andersen; Andreas Kjær; Henrik B W Larsson; Ian Law; Adam E Hansen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-10-02       Impact factor: 9.236

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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