Literature DB >> 20427187

Differences in the architecture of low-grade and high-grade gliomas evaluated using fiber density index and fractional anisotropy.

Yiyong Chen1, Yonghong Shi, Zhijian Song.   

Abstract

Accurate pre-operative assessment of tumor grade is important for the selection of appropriate treatment strategies. The aim of this study was to retrospectively evaluate whether the fiber density index (FDi) and fractional anisotropy (FA) via diffusion tensor MRI (DTI) could assist with pre-operative diagnosis of glioma grade. A total of 31 patients who had histologically confirmed gliomas underwent DTI performed using a 1.5-Tesla magnetic resonance scanner. To reconstruct the white matter adjacent to the tumor, DTI fiber tracking (DTI-FT) using an FA threshold of 0.15 was implemented. Regions of interest (ROIs) were defined (i-iv) as: the tumor center (ROI i); white matter adjacent to the tumor (ROI ii); contralateral centrum semiovale (ROI iii); and the homologous fiber tracts to ROI ii in the contralateral hemisphere (ROI iv). We calculated six parameters from different ROIs and compared high-grade and low-grade gliomas: FA values and ratios; FDi values and ratios with an FA threshold of 0.15; and FDi values and ratios with an FA threshold of 0.25. The results showed that FA ratios and FDi ratios with FA thresholds of 0.25 were significantly different between patients with high-grade and low-grade gliomas. This may be useful for developing surgical strategies and appraising patient prognosis.

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Year:  2010        PMID: 20427187     DOI: 10.1016/j.jocn.2009.11.022

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  11 in total

1.  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

2.  Diffusion tensor tractography in the presurgical assessment of cerebral gliomas.

Authors:  Zahra Farshidfar; Fariborz Faeghi; Mostafa Mohseni; Afsoun Seddighi; Homayoun Hadizadeh Kharrazi; Jamil Abdolmohammadi
Journal:  Neuroradiol J       Date:  2014-02-24

3.  Meta-analysis of diffusion metrics for the prediction of tumor grade in gliomas.

Authors:  V Z Miloushev; D S Chow; C G Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2014-09-04       Impact factor: 3.825

4.  Effect of disease and recovery on functional anatomy in brain tumor patients: insights from functional MRI and diffusion tensor imaging.

Authors:  Muhammad M Abd-El-Barr; Emam Saleh; Raymond Y Huang; Alexandra J Golby
Journal:  Imaging Med       Date:  2013-08-01

Review 5.  The role of diffusion and perfusion weighted imaging in the differential diagnosis of cerebral tumors: a review and future perspectives.

Authors:  Patricia Svolos; Evanthia Kousi; Eftychia Kapsalaki; Kyriaki Theodorou; Ioannis Fezoulidis; Constantin Kappas; Ioannis Tsougos
Journal:  Cancer Imaging       Date:  2014-04-29       Impact factor: 3.909

6.  Alterations in fiber pathways reveal brain tumor typology: a diffusion tractography study.

Authors:  Martina Campanella; Tamara Ius; Miran Skrap; Luciano Fadiga
Journal:  PeerJ       Date:  2014-09-09       Impact factor: 2.984

7.  A pilot study of pre-operative motor dysfunction from gliomas in the region of corticospinal tract: Evaluation with diffusion tensor imaging.

Authors:  Bo Gao; Xudong Shen; Mark S Shiroishi; Mingfan Pang; Zhiqian Li; Benxia Yu; Guiquan Shen
Journal:  PLoS One       Date:  2017-08-22       Impact factor: 3.240

8.  Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index.

Authors:  Fariba Davanian; Fariborz Faeghi; Sohrab Shahzadi; Zahra Farshifar
Journal:  Basic Clin Neurosci       Date:  2017-01

9.  The value of diffusion tensor tractography delineating corticospinal tract in glioma in rat: validation via correlation histology.

Authors:  Xiaoxiong Jia; Zhiyong Su; Junlin Hu; Hechun Xia; Hui Ma; Xiaodong Wang; Jiangshu Yan; Dede Ma
Journal:  PeerJ       Date:  2019-02-13       Impact factor: 2.984

10.  Evaluation of Diffusion Anisotropy and Diffusion Shape in Grading of Glial Tumors.

Authors:  Davanian F; Faeghi F; Shahzadi S; Farshidfar Z
Journal:  J Biomed Phys Eng       Date:  2019-08-01
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