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.
