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
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
Six MRI methods were
performed and compared to differentiate between normal appearing brain tissues,
9L gliosarcoma brain tumors, and radiation necrosis in animal models. APT and
SSIFT provide the best discrimination of different tissue types.
Representative
multi-parametric maps of two rat brains with an RN in the left hemisphere (top)
and a 9L tumor in the right hemisphere (bottom).
Summarized ROI-based MRI parameters in the differentiation of contralateral normal
appearing brain tissue (n=9), radiation necrosis (RN, n=5), and 9L brain tumor (n=4).