Abstract #0787

Discriminant Analysis to Classify the Glioma Grading using DCE MRI & Immunohistochemical Markers

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.