It remains a challenge to differentiate between recurrent tumors from radiation induced necrosis in the brain. One promising approach is to combine complementary information on different scales obtained using multi-parametric MRI to comprehensively characterize tissue histopathological properties. In this preliminary study, we performed six multi-parametric MRI acquisitions including APT (probing mobile proteins), NOE (mobile macromolecules), qMT (macromolecules), ADC (cell density), SSIFT (cell size), and DSC (perfusion) to differentiate 9L gliosarcoma from radiation necrosis in animal models. The results suggest APT and SSIFT provide the best discrimination of different tissue types, but a larger sample size is required for further validation.
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