Dynamic Susceptibility Contrast Enhanced Imaging in Evaluation of Intracranial Tumours Using a 1.5 Tesla Magnetic Resonance Scanner
Journal Title: International Journal of Medical Research Professionals - Year 2017, Vol 3, Issue 4
Abstract
Background: Brain tumors are a significant health problem and often are a diagnostic challenge. Role of imaging is no longer limited to merely providing anatomic details. Dynamic susceptibility contrast enhanced MRI advances allow knowing the hemodynamic characteristics of common intra axial tumors. Hence, present study aimed to evaluate perfusion parameters in evaluation of intracranial mass lesions and to find any correlation of these parameters with histopathological subtype and grade of malignancy of the tumor. Materials And Methods: 33 patients with brain tumors, age 15 to 76 years, underwent dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion magnetic resonance imaging (MRI) using a 1.5 T MR scanner. The lesions were evaluated by measurements of relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF). The ANOVA, Student ‘t’ test was used to compare rCBV and rCBF measurements of tumor groups—5 low-grade and 11 high grade gliomas, five schwannoma, 11 meningiomas, and one haemangioblastoma. Peritumoral rCBV and rCBF measurements of tumours were also compared. Results: Measurements of rCBV and rCBF were statistically significantly higher (P < 0.05) in meningioma than schwannoma. Measurements of rCBV and rCBF were statistically significantly higher (P < 0.05) in perilesional edema of high grade glioma as compared to perilesional edema of meningioma. The difference of rCBV and rCBF of tumour and perilesional edema was not statistically significant in comparing high-grade glioma and low grade glioma. However mean values of rCBV and rCBF of tumour and perilesional edema are higher in high grade glioma than low grade glioma. Conclusion: CBV and CBF measurements provided by 1.5 T dynamic susceptibility contrast enhanced (perfusion) MRI can help to predict intracranial tumor grading preoperatively, and differentiate between different brain tumors.
Authors and Affiliations
Kadam Sagar Suresh, Sheetal Sopan Pote
Keywords
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- EP ID EP546785
- DOI 10.21276/ijmrp.2017.3.4.026
- Views 87
- Downloads 0
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