Diagnostic performance of quantitative measures from [(18)F]FDG PET/CT, [(18)F]FEC PET/CT, and DW-MRI in the detection of lymph node metastases in endometrial and cervical cancer: data from the MAPPING study
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PURPOSE: To evaluate the diagnostic performance of quantitative measures derived from (18)F]FDG PET/CT, (18)F]FEC PET/CT, and DW-MRI in the detection of lymph node metastases in endometrial and cervical cancer with comparison to standard visual PET analysis with histology as the reference standard. METHODS: Subanalysis of quantitative data from the prospective multicentre MAPPING study. Nodal and tumour SUV(max) from (18)F]FDG PET/CT and (18)F]FEC PET/CT and ADC(mean) from DW-MRI were documented. Nodal-to-tumour ratios (NTR) and SUV(max)-to-ADC(mean) ratio (STAR) were calculated. Optimal cut-offs of quantitative measures were compared to visual assessment on a regional basis using histopathology as the reference standard. RESULTS: Scans from 112 patients (36 cervical and 76 endometrial cancers; 340 nodal regions) were eligible for quantitative image analysis. Lower ADC(mean) on DW-MRI was observed in metastatic nodes for cervical cancer but not for endometrial cancer. Quantitative measures were significantly higher in malignant than benign nodal regions on (18)F]FDG PET/CT and (18)F]FEC PET/CT in endometrial cancer. SUV(max) cut-offs showed similar performance to visual assessment in the diagnosis of metastatic lymph nodes in endometrial cancer whilst ADC(mean) cut-offs showed significantly lower specificity than visual assessment. Interobserver agreement was excellent for SUV(max) measurements on both (18)F]FDG PET/CT and (18)F]FEC PET/CT, but poor for ADC(mean) on DW-MRI. CONCLUSION: Quantitative measures from (18)F]FDG PET/CT, (18)F]FEC PET/CT, or DW-MRI did not outperform visual assessment in the detection of nodal metastases in endometrial cancer. Therefore, the implementation of these quantitative measures as standalone diagnostic tools in routine clinical practice is not recommended.
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European Journal of Nuclear Medicine and Molecular Imaging
