Rishi Awasthi1,
Prativa Sahoo2, Nuzhat Husain3, Priyanka Soni3,
Ashish Awasthi4, Rohit Kumar Singh5, Sanjay Behari5,
Chandra M. Pandey4, Ram Kishan Singh Rathore6, Rakesh
Kumar Gupta1
1Radiodiagnosis,
Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India,
Lucknow, Uttar Pradesh, India; 2Indian Institute of Technology,
Kanpur, Kanpur, Uttar Pradesh, India; 3Pathology, Chatrapati Sahu
ji Maharaj Medical University, Lucknow, Uttar Pradesh, India; 4Biostatistics,
Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India,
Lucknow, Uttar Pradesh, India; 5Neurosurgery, Sanjay Gandhi Post
Graduate Institute of Medical Sciences, Lucknow, India, Lucknow, Uttar
Pradesh, India; 6Mathematics & Statistics, Indian Institute of
Technology, Kanpur, Kanpur, Uttar Pradesh, India
Seventy six patients of brain tumor (55 high grades and 21 low grades) with a postoperative diagnosis of either high or low grade glioma were imaged using conventional, and DCE MRI. On discriminant analysis, rCBV, Kep, Ve and HIF-1α were proved to be significant discriminators of tumor grade and these parameters were able to classify high and low grade tumors with 92.1% accuracy at a significance level of p<0.001.