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Abstract #3444

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

Ramesh Paudyal1, Jung Hun Oh1, Jonathan E Leeman2, Xinmao Song3,4, Amresha K Shridhar1, Eve LoCastro1, Vaios Hatzoglou5, Nadeem Riaz3, Nancy Lee3, and Amita Shukla-Dave1,5

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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