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Abstract #2914

Non-gaussian IVIM imaging biomarkers can non-invasively predict the aggressiveness of small papillary thyroid cancers

David Aramburu Nuñez1, Yonggang Lu2, Vaios Hatzoglou3, Andre L Moreira4, Hilda E Stambuk3, Ramesh Paudyal1, Yousef Mazaheri3, Mithat Gonen5, Joseph O Deasy1, Ronald A Ghossein6, Ashok R Shaha7, Michael Tuttle8, and Amita Shukla-Dave1,3

1Medical Physics, Memorial Sloan-Kettering Cancer Center, NEW YORK, NY, United States, 2Radiation Oncology, Washington University in St. Louis, St. Louis, MO, United States, 3Radiology, Memorial Sloan-Kettering Cancer Center, NEW YORK, NY, United States, 4Pathology, NYU Langone Medical Center, NEW YORK, NY, United States, 5Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, NEW YORK, NY, United States, 6Pathology, Memorial Sloan-Kettering Cancer Center, NEW YORK, NY, United States, 7Surgery, Memorial Sloan-Kettering Cancer Center, NEW YORK, NY, United States, 8Medicine, Memorial Sloan-Kettering Cancer Center, NEW YORK, NY, United States

There is a need for non-invasive imaging to identify patients with aggressive tumors in papillary thyroid carcinoma (PTC). This study evaluates whether non-gaussian intravoxel incoherent motion (NG-IVIM) DW-MRI has the potential to stratify tumor aggressiveness in PTC. Twenty-four PTC patients underwent pretreatment NG-IVIM DW-MRI at 3T. The apparent diffusion coefficient (ADC), perfusion factor (f), diffusion (D), pseudo diffusion (D*) and diffusion Kurtosis (K) coefficients were calculated from the NG-IVIM model. All patients underwent surgery. Tumor aggressiveness was defined at pathology. ADC and D may be used to distinguish tumors with and without aggressive features in tumor size between 1-2 cm.

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