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
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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