Abstract #2345

Probabilistic Tractography in Patients with Recurrent Malignant Gliomas

Patricia E. Litkowski¹, Victor Liu¹, Kyung Peck², Zhigang Zhang³, Kathryn Beal⁴, Robert J. Young¹

¹Radiology, Memorial Sloan-Kettering Cancer Center, New York, United States; ²Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, United States; ³Epidemiology & Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, United States; ⁴Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, United States

Malignant gliomas are highly invasive tumors with poor clinical outcomes. Current treatment includes uniform radiation around the tumor region. Diffusion tensor imaging (DTI) is a promising modality that may more effectively inform radiation planning, particularly for local tumor growth. We used DTI to construct probabilistic maps based on seed ROI surrounding the tumors. The high-risk areas determined in our analysis showed a strong correlation with the locations of tumor progression, suggesting that DTI may be useful in planning targeted radiation therapy.