Abstract #0856

Repeated Split Sample Validation to Assess Logistic Regression Model of DTI in Differentiating Glioblastomas from Brain Metastases

Sumei Wang¹, Sang Joon Kim¹,², Matthew R. Voluck¹, Ronald L. Wolf¹, Donald M. ORourke³, Harish Poptani¹, Elias R. Melhem¹, Sungheon Kim⁴

¹Radiology, University of Pennsylvania, Philadelphia, PA, United States; ²Radiology, University of Ulsan Asan Medical Center, Seoul, Korea, Republic of; ³Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States; ⁴Radiology, New York University School of Medicine, New York, NY, United States

One hundred and twenty nine glioblastomas and 74 brain metastases were included in this study. FA and MD were measured from the enhancing and immediate peritumoral region. FA values from the enhancing and immediate peritumoral regions for glioblastomas were significantly higher than those for brain metastases. Repeated split sample validation confirmed that FA and MD from the enhancing part is a robust model for the distinction between glioblastomas and brain metastases.