Abstract #3444

Non-Gaussian IVIM-DWI for prediction of locoregional failure in nasopharyngeal carcinoma

Ramesh Paudyal¹, Jung Hun Oh¹, Jonathan E Leeman², Xinmao Song^3,4, Amresha K Shridhar¹, Eve LoCastro¹, Vaios Hatzoglou⁵, Nadeem Riaz³, Nancy Lee³, and Amita Shukla-Dave^1,5

¹Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ²Radiation Oncology, Dana-Farber/Brigham and Women’s Cancer Center, South Weymouth, MA, United States, ³Radiation Oncology, Memoral Sloan Kettering Cancer Center, New York, NY, United States, ⁴Radiation Oncology Eye, Ear, Nose & Throat, Hospital of Fudan University, Shanghai, China, ⁵Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States

The study aims to assess quantitative metrics derived from pretreatment NG-IVIM using multiple b-value diffusion weighted imaging data for predicting tumor with and without locoregional failure (LRF) in NPC patients. Kaplan-Meier method and the log-rank test were used to analyze differences between NPC patients with and without locoregional curves. Kaplan Meier results showed that the pre-treatment mean ADC and D value could predict LRF in NPC patients. The pretreatment NG-IVIM diffusion-weighted imaging will provide useful information for the selection of patients appropriate for definitive radiotherapy.

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