Rakesh Kumar Gupta1, Rishi Awasthi1, Prativa Sahoo2, Bhaswati Roy1, Sanjay Behari3, Bal Kishan Ojha4, Nuzhat Husain5, 6, Ram KS Rathore2
1Radiodiagnosis, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India, Lucknow, Uttar Pradesh, India; 2Mathematics & Statistics, Indian Institute of Technology, Kanpur, Kanpur, Uttar Pradesh, India; 3Neurosurgery, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India, Lucknow, Uttar Pradesh, India; 4Neurosurgery, Chatrapati Sahu ji Maharaj Medical University, Lucknow, Uttar Pradesh, India; 5Pathology, Chatrapati Sahu ji Maharaj Medical University, Lucknow, Uttar Pradesh, India; 6Pathology, Ram Manohar Lohia Institute of medical Sciences, Lucknow, Uttar Pradesh, India
Forty (27 male and 13 female; mean age=43 yrs) untreated consecutive patients (25 high grades & 15 low grades on histopathology) with a postoperative diagnosis of either high or low grade glioma were imaged using 3D PC-ASL and DCE MRI. On Students independent t-test, all the DCE derived metrics except ve (p=0.29) were found to be significantly higher in high grade as compared to low grade glioma (p<0.001), whereas ASL derived CBF did not show any significant differences (p=0.62). We conclude that DCE-MRI proved to be superior in differentiating high grade from low grade glioma as compared to 3D PC-ASL technique.
Keywords