Abstract #1474

Multi-parametric 18-FDG PET/MRI in predicting lung cancer lymphatic metastasis

Fangfang Fu¹, Meng Nan², Yaping Wu¹, Zhun Huang³, Yan Bai¹, Pengyang Feng³, Ting Fang², Jianmin Yuan⁴, Yang Yang⁵, Haiyan Gao¹, and Meiyun Wang¹

¹Henan Provincial People's Hospital & People's Hospital of Zhengzhou University, Zhengzhou, China, ²Zhengzhou University People's Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, ³Henan University People's Hospital & Henan Provincial People’s Hospital, Zhengzhou, China, ⁴Central Research Institute, Beijing, China, ⁵Beijing United Imaging Research Institute of Intelligent Imaging, Beijing, China

Synopsis

It is meaningful to predict lymph node status of lung cancer before surgery. In the study, 18F-FDG PET/MRI were used to obtain PET metabolic parameters, multi-model DWI and APTWI parameters for predicting LNM of lung cancer. Our results showed that multiparametric PET/MRI is helpful in predicting lymph node status before surgery. 18F-FDG hybrid PET/MRI enables a robust diagnosis ability of LNM of lung cancer when several multi-model DWI parameters, PET metabolic parameters and APT parameter are combined. Thus, integrated PET/MRI can help to characterize LNM before surgery.

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