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 |
| Published: |
Guilan University of Medical Sciences
2016-03-01
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| Series: | Caspian Journal of Neurological Sciences |
| Subjects: | |
| Online Access: | http://cjns.gums.ac.ir/browse.php?a_code=A-10-32-31&slc_lang=en&sid=1 |
| Summary: | 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. |
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| ISSN: | 2383-4307 2423-4818 |