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Abstract #3926

Multi-parametric MRI in differentiation between brain tumor and radiation necrosis

Sean P Devan1, Xiaoyu Jiang1, Guozhen Luo2, Jingping Xie1, Zhongliang Zu1, Ashley M Stokes3, Austin N Kirschner2, John C Gore1, and Junzhong Xu1
1Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Keller Center for Imaging Innovation, Barrow Neurological Institute, Phoenix, AZ, United States

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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