Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume

Autor: Ayoob Rostamzadeh, Farhad Naleini, Mojtaba Miri, Hossein Ghanaati, Mahdiyeh Saberi, Fariborz Faeghi, Soheila Khodakarim
Rok vydání: 2016
Předmět:
Zdroj: Caspian Journal of Neurological Sciences, Vol 2, Iss 4, Pp 42-53 (2016)
ISSN: 2423-4818
2383-4307
DOI: 10.18869/acadpub.cjns.2.4.42
Popis: Article type: Original Article 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 ×10 3 mm 2 /s for low grades (I & II), and .47±.38×10 3 mm 2 /s for high grades (III & IV) Gliomas (p=0.001). We can get 0.94×10 3 mm 2 /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.
Databáze: OpenAIRE