Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index
Introduction: The most common primary tumors of brain are gliomas and tumor grading is essential for designing proper treatment strategies. The gold standard choice to determine grade of glial tumor is biopsy which is an invasive method. The purpose of this study was to investigatethe role of fiber...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Iran University of Medical Sciences
2017-01-01
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| Series: | Basic and Clinical Neuroscience |
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| Online Access: | http://bcn.iums.ac.ir/browse.php?a_code=A-10-863-1&slc_lang=en&sid=1 |
| _version_ | 1797285002485956608 |
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| author | Fariba Davanian Fariborz Faeghi Sohrab Shahzadi Zahra Farshifar |
| author_facet | Fariba Davanian Fariborz Faeghi Sohrab Shahzadi Zahra Farshifar |
| author_sort | Fariba Davanian |
| collection | DOAJ |
| description | Introduction: The most common primary tumors of brain are gliomas and tumor grading is essential for designing proper treatment strategies. The gold standard choice to determine grade of glial tumor is biopsy which is an invasive method. The purpose of this study was to investigatethe role of fiber density index (FDi) by means of diffusion tensor imaging (DTI) (as a noninvasive method) in glial tumor grading.
Methods: A group of 20 patients with histologically confirmed diagnosis of gliomas wereevaluated in this study. We used a 1.5 Tesla MR system (AVANTO; Siemens, Germany) with a standard head coil for scanning. Multidirectional diffusion weighted imaging (measured in 12 noncollinear directions), and T1 weighted nonenhanced were performed for all patients. We defined two regions of interest (ROIs); 1) White matter fibers near the tumor and 2) Similar fibers in the contralateral hemisphere.
Results: FDi of the low-grade gliomas was higher than those of high-grade gliomas, which was significant (P=0.017). FDi ratio (ratio of fiber density in vicinity of the tumor to homologous fiber tracts in the contralateral hemisphere) is higher in low-grade than high-grade tumors, (P=0.05). In addition, we performed ROC (receiver operating characteristic) curve and the area under
curve (AUC) was 0.813(P=0.013).
Conclusion: Our findings prove significant difference in FDi near by low-grade and high-grade gliomas. Therefore, FDi values and ratios are helpful in glial tumor grading. |
| first_indexed | 2024-03-07T17:55:54Z |
| format | Article |
| id | doaj.art-86392915761243b49398b4aaa910a682 |
| institution | Directory Open Access Journal |
| issn | 2008-126X 2228-7442 |
| language | English |
| last_indexed | 2024-03-07T17:55:54Z |
| publishDate | 2017-01-01 |
| publisher | Iran University of Medical Sciences |
| record_format | Article |
| series | Basic and Clinical Neuroscience |
| spelling | doaj.art-86392915761243b49398b4aaa910a6822024-03-02T12:14:10ZengIran University of Medical SciencesBasic and Clinical Neuroscience2008-126X2228-74422017-01-01811318Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density IndexFariba Davanian0Fariborz Faeghi1Sohrab Shahzadi2Zahra Farshifar3 Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Department of Radiology Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Department of Neurosurgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Department of Radiology Technology, School of Paramedical, Shiraz University of Medical Sciences, Shiraz, Iran. Introduction: The most common primary tumors of brain are gliomas and tumor grading is essential for designing proper treatment strategies. The gold standard choice to determine grade of glial tumor is biopsy which is an invasive method. The purpose of this study was to investigatethe role of fiber density index (FDi) by means of diffusion tensor imaging (DTI) (as a noninvasive method) in glial tumor grading. Methods: A group of 20 patients with histologically confirmed diagnosis of gliomas wereevaluated in this study. We used a 1.5 Tesla MR system (AVANTO; Siemens, Germany) with a standard head coil for scanning. Multidirectional diffusion weighted imaging (measured in 12 noncollinear directions), and T1 weighted nonenhanced were performed for all patients. We defined two regions of interest (ROIs); 1) White matter fibers near the tumor and 2) Similar fibers in the contralateral hemisphere. Results: FDi of the low-grade gliomas was higher than those of high-grade gliomas, which was significant (P=0.017). FDi ratio (ratio of fiber density in vicinity of the tumor to homologous fiber tracts in the contralateral hemisphere) is higher in low-grade than high-grade tumors, (P=0.05). In addition, we performed ROC (receiver operating characteristic) curve and the area under curve (AUC) was 0.813(P=0.013). Conclusion: Our findings prove significant difference in FDi near by low-grade and high-grade gliomas. Therefore, FDi values and ratios are helpful in glial tumor grading. http://bcn.iums.ac.ir/browse.php?a_code=A-10-863-1&slc_lang=en&sid=1Diffusion tensor imaging Neoplasm grading Glioma Fiber density index |
| spellingShingle | Fariba Davanian Fariborz Faeghi Sohrab Shahzadi Zahra Farshifar Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index Basic and Clinical Neuroscience Diffusion tensor imaging Neoplasm grading Glioma Fiber density index |
| title | Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index |
| title_full | Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index |
| title_fullStr | Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index |
| title_full_unstemmed | Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index |
| title_short | Diffusion Tensor Imaging for Glioma Grading: Analysis of Fiber Density Index |
| title_sort | diffusion tensor imaging for glioma grading analysis of fiber density index |
| topic | Diffusion tensor imaging Neoplasm grading Glioma Fiber density index |
| url | http://bcn.iums.ac.ir/browse.php?a_code=A-10-863-1&slc_lang=en&sid=1 |
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