, Fariborz Faeghi * 2, Hossein Ghanaati3 , Mojtaba Miri4 , Ayoob Rostamzadeh5 , Soheila Khodakarim6 , Farhad Naleini7
2- 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
3- Radiologist, Advanced diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
4- Neurosurgen, Department of Neurosurgery, Emam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
5- 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
6- Epidemiologist, Department of Epidemiology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
7- 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.
Received: 2016/03/6 | Accepted: 2016/03/6 | Published: 2016/03/6
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |