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Abstract #2083

Spatial Heterogeneity Mapping of Brain Tumors from 3.0 T Diffusion MR: Quantitative Results Versus Histological Tumour Grade

Lalit Gupta1, Sundararaman VK1, and Rakesh K Gupta2

1Philips India Ltd., Bangalore, India, 2Department of Radiology, Fortis Memorial Research Institute, Gurgaon, India

In a previous study a method based on “texture analysis” of apparent diffusion coefficient maps was proposed for tumor grading, with validation on limited 1.5T data. In this study, we use a modified method and show additional results (46 patients’ data) on 3.0 T data. There was significant difference between high and low grade tumors using heterogeneity measure (p<0.05). 39 out of 46 patients were found to be correctly classified using a threshold in-between mean values of high and low grade tumors. In the other seven patients, the tumors were either very small or had undergone surgical interventions.

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