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International Journal of Recent Trends in Science and Technology, ISSN 2277-2812 E-ISSN: 2249-8109

Volume 16, Issue 1, Aug 2015 pp 117-120

Research Article

Role of perfusion MR imaging in the evaluation of adult intracranial neoplasms

Nahas K M1, Ashok Kumar Y G2, Najah Mohamed Nizam3

1Assistant Professor, Department of Radiodiagnosis and Imaging, Kanachur institute of Medical Sciences, Deralakatte, Mangalore, Karnataka, INDIA.

2Associate Professor, Department of Internal Medicine, Srinivas Institute of Medical Sciences, Mukka, Mangalore, Karnataka, INDIA.

3Junior Resident, Department of Radiotherapy and Oncology, Kasturba Medical College, Manipal, Karnataka, INDIA.

Aim: The aim of the study was to compare the efficacy of MRI perfusion in predicting the histology of intracranial neoplasms and to correlate with WHO grading. Methods and Materials: This prospective study was performed in 41 patients with intracranial tumours. The CBV, CBF, MTT and TTP values were calculated within the tumor, the peritumoral region, and the contralateral normal appearing white matter .The ratios were calculated by dividing the maximum value in the tumor and in the peritumoral region by the value in the contralateral normal-appearing white matter. For statistical analysis Student independent t-test and ROC curve analysis was performed. Results: The difference in the mean rCBVt, rCBFt, rCBVp, rCBFp, rMTTp ratios of high and low grade gliomas were statistically significant . Among all the parameters rCBVt was the best parameter to identify high-grade gliomas, a cut off > 2.36 for rCBVt yielded 87.5 % sensitivity and 100 % specificity . Similarly the difference in the mean rCBVt, rCBVp and rCBFp of high grade glioma and metastasis were statistically significant.. Among all parameters rCBVp was the best parameter to identify high grade glioma and a cut off > 1.525 for rCBVp yielded 87.5 % sensitivity and 100 % specificity .CONCLUSION: MRI perfusion showed very good diagnostic accuracy in grading glial tumors, as well as in the differentiation of GBM from metastasis.