Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume
Background: Gliomas are the most common primary neoplasms of the central nervous system. Relative cerebral blood volume (rCBV) could estimate high-grade Gliomas computed with dynamic susceptibility contrast MR imaging which it is artificially lowered by contrast extravasation through a disrupted blo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Guilan University of Medical Sciences
2016-03-01
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| Series: | Caspian Journal of Neurological Sciences |
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| Online Access: | http://cjns.gums.ac.ir/browse.php?a_code=A-10-32-31&slc_lang=en&sid=1 |
| _version_ | 1811259613735026688 |
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| author | Mahdiyeh Saberi Fariborz Faeghi Hossein Ghanaati Mojtaba Miri Ayoob Rostamzadeh Soheila Khodakarim Farhad Naleini |
| author_facet | Mahdiyeh Saberi Fariborz Faeghi Hossein Ghanaati Mojtaba Miri Ayoob Rostamzadeh Soheila Khodakarim Farhad Naleini |
| author_sort | Mahdiyeh Saberi |
| collection | DOAJ |
| description | Background: Gliomas are the most common primary neoplasms of the central nervous system. Relative cerebral blood volume (rCBV) could estimate high-grade Gliomas computed with dynamic susceptibility contrast MR imaging which it is artificially lowered by contrast extravasation through a disrupted blood-brain barrier.
Objectives: Our intent was to clarify the usefulness of diffusion-weighted magnetic resonance imaging (DWI) and perfusion weighted magnetic resonance imaging (PWI) in the grading of Gliomas.
Materials and Methods: Both PWI and DWI with a three-tesla scanner investigated nineteen consecutive patients with Gliomas. The means of rCBV and ADC values have been compared among the tumor groups with t-test and ROC curve analysis to determine threshold values of Gliomas grading.
Results: Mean maximum rCBV were 2.71±1.41 for low grades (I & II), and 8.14±2.58 for high grades (III & IV) Gliomas (p=0.001). Mean minimum ADC were 1.47±.46 ×103 mm2/s for low grades (I & II), and .47±.38×103 mm2/s for high grades (III & IV) Gliomas (p=0.001). We can get 0.94×103 mm2/s for minimum ADC and 3.85 for maximum rCBV as a difference cutoff point between low and high-grade Gliomas.
Conclusion: Combination of both DWI and PWI techniques, with measurement of minimum ADC and maximum rCBV can be used to distinguish between high grade and low-grade Glioma tumors. |
| first_indexed | 2024-04-12T18:33:12Z |
| format | Article |
| id | doaj.art-a23aed57b093497095d07e8eff07712c |
| institution | Directory Open Access Journal |
| issn | 2383-4307 2423-4818 |
| language | English |
| last_indexed | 2024-04-12T18:33:12Z |
| publishDate | 2016-03-01 |
| publisher | Guilan University of Medical Sciences |
| record_format | Article |
| series | Caspian Journal of Neurological Sciences |
| spelling | doaj.art-a23aed57b093497095d07e8eff07712c2022-12-22T03:21:00ZengGuilan University of Medical SciencesCaspian Journal of Neurological Sciences2383-43072423-48182016-03-01244253Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood VolumeMahdiyeh Saberi0Fariborz Faeghi1Hossein Ghanaati2Mojtaba Miri3Ayoob Rostamzadeh4Soheila Khodakarim5Farhad Naleini6 Medical Imaging Physicist, Department of Radiology Technology, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran Medical Physicist, Assistant Professor of Medical Imaging, Department of Radiology Technology, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran ; f_faeghi@sbmu.ac.ir Radiologist, Advanced diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran Neurosurgen, Department of Neurosurgery, Emam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran Neuroscientist, Funding Member of Iranian Society of Cellular and Molecular Imaging, Department of Anatomy and Neuroscience, Faculty of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran Epidemiologist, Department of Epidemiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran Radiologist, Emam Reza Hospital, Faculty of Medicine, Krmanshah University of Medical Sciences, Krmanshah, Iran Background: Gliomas are the most common primary neoplasms of the central nervous system. Relative cerebral blood volume (rCBV) could estimate high-grade Gliomas computed with dynamic susceptibility contrast MR imaging which it is artificially lowered by contrast extravasation through a disrupted blood-brain barrier. Objectives: Our intent was to clarify the usefulness of diffusion-weighted magnetic resonance imaging (DWI) and perfusion weighted magnetic resonance imaging (PWI) in the grading of Gliomas. Materials and Methods: Both PWI and DWI with a three-tesla scanner investigated nineteen consecutive patients with Gliomas. The means of rCBV and ADC values have been compared among the tumor groups with t-test and ROC curve analysis to determine threshold values of Gliomas grading. Results: Mean maximum rCBV were 2.71±1.41 for low grades (I & II), and 8.14±2.58 for high grades (III & IV) Gliomas (p=0.001). Mean minimum ADC were 1.47±.46 ×103 mm2/s for low grades (I & II), and .47±.38×103 mm2/s for high grades (III & IV) Gliomas (p=0.001). We can get 0.94×103 mm2/s for minimum ADC and 3.85 for maximum rCBV as a difference cutoff point between low and high-grade Gliomas. Conclusion: Combination of both DWI and PWI techniques, with measurement of minimum ADC and maximum rCBV can be used to distinguish between high grade and low-grade Glioma tumors.http://cjns.gums.ac.ir/browse.php?a_code=A-10-32-31&slc_lang=en&sid=1Diffusion Magnetic Resonance ImagingNeoplasm Grading |
| spellingShingle | Mahdiyeh Saberi Fariborz Faeghi Hossein Ghanaati Mojtaba Miri Ayoob Rostamzadeh Soheila Khodakarim Farhad Naleini Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume Caspian Journal of Neurological Sciences Diffusion Magnetic Resonance Imaging Neoplasm Grading |
| title | Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume |
| title_full | Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume |
| title_fullStr | Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume |
| title_full_unstemmed | Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume |
| title_short | Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume |
| title_sort | grading of glioma tumors by analysis of minimum apparent diffusion coefficient and maximum relative cerebral blood volume |
| topic | Diffusion Magnetic Resonance Imaging Neoplasm Grading |
| url | http://cjns.gums.ac.ir/browse.php?a_code=A-10-32-31&slc_lang=en&sid=1 |
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