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Abstract #3957

Assessment of tumors aggressiveness in papillary thyroid cancer (PTC) using DCE-MRI

Ramesh Paudyal1, Yonggang Lu2, Vaios Hatzoglou3, David Aramburu Nunez1, Andre Moreira4, Yousef Mazaheri1,3, Mithat Gonen5, Joseph O. Deasy1, Ashok Shaha6, R. Michael Tuttle7, and Amita Shukla-Dave1,3

1Medical Physcis, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, 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, 6Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 7Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States

In this study, pretreatment dynamic contrast enhanced (DCE-MRI) data was analyzed using the Tofts model (TM), extended Tofts model (ETM), and two compartment exchange model (2CXM) to quantify perfusion-related quantitaive imaging metrics in papillary thyroid cancer (PTC) patients. The histopathological features of aggressiveness were used as the standard of reference. The results indicated that the ETM provided better fit among the models. The ETM Ktrans values were able to distinguish between aggressive and non-aggressive tumors. The study concludes that pretreatment perfusion-related metric can be useful biomarkers for stratifying tumor aggressiveness in PTC patients.

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