Abstract #3029

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

Akshay Wadera^1,2,3, Mari Hagiwara⁴, Roy Raad⁴, Kent Friedman⁴, Brian Schmidt⁵, Babak Givi⁵, Adam Jacobson⁵, Theresa Tran⁵, Mark DeLacure⁵, Cheng Z. Liu⁶, Elcin Zan⁴, and S. Gene Kim^1,2

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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