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Abstract #0185

Segmentation of Combinations of Mean Diffusivity & DCE Perfusion Derived CBV in Glioblastoma Multiforme

Rishi Awasthi1, Ram Kishan Singh Rathore2, Jitesh Kumar Singh2, Nuzhat Husain3, Priyanka Soni3, Rohit Kumar Singh4, Sanjay Behari4, Rakesh Kumar Gupta1, Shaleen Kumar5

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; 3Pathology, Chatrapati Sahu ji Maharaj Medical University, Lucknow, Uttar Pradesh, India; 4Neurosurgery, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India, Lucknow, Uttar Pradesh, India; 5Radiotherapy, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India, Lucknow, India


Forty-four untreated patients with a definitive histopathological diagnosis of glioblastoma multiforme were imaged using conventional, DT and DCE MRI. It was possible to segment the tumor tissue by using DCE derived CBV maps and DTI derived MD maps. From these segmented regions, four combinations of CBV and MD values were obtained which represents different tumoral components also evident on immunohistochemistry. We conclude that the combination of DTI and DCE-MRI allows segmentation which classifies different tissue types within the tumor which in turn may prove to be valuable in targeted therapy in future

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