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Abstract #3029

Assessment of Metastatic Lymph Node in Head and Neck Cancer Using Simultaneous 18F-FDG-PET and DCE-MRI

Akshay Wadera1,2,3, Mari Hagiwara4, Roy Raad4, Kent Friedman4, Brian Schmidt5, Babak Givi5, Adam Jacobson5, Theresa Tran5, Mark DeLacure5, Cheng Z. Liu6, Elcin Zan4, and S. Gene Kim1,2

1Center for Advanced Imaging Innovation and Research (CAI2R), Radiology, NYU School of Medicine, New York, NY, United States, 2Center for Biomedical Imaging, Radiology, NYU, NYU School of Medicine, New York, NY, United States, 3New York Medical College, Valhalla, NY, United States, 4Department of Radiology, NYU School of Medicine, New York, NY, United States, 5Otolaryngology-Head and Neck Surgery, NYU School of Medicine, New York, NY, United States, 6Pathology, NYU School of Medicine, New York, NY, United States

Regional lymph node metastasis is one of the important predictors of poor prognosis in head and neck cancer. Detecting small nodes with micro-metastases remains challenging for currently available diagnostic imaging methods, including positron emission tomography with 18F-fluorodeoxyglucose (18F-FDG PET) and dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). The purpose of this study is to demonstrate the synergistic role of FDG PET and DCE-MRI in detecting lymph nodes with metastatic potential. Our preliminary results demonstrate that the combined modeling of MR and FDG PET kinetic parameters has the potential to detect lymph node microenvironment changes and assess potentially metastatic lymph nodes.

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