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-Dave^1,3

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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