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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