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Value of 18F-FDG PET/MRI in the Preoperative Assessment of Resectable Esophageal Squamous Cell Carcinoma: A Comparison With 18F-FDG PET/CT, MRI, and Contrast-Enhanced CT

Fei Wang, Rui Guo, Yan Zhang, Boqi Yu, Xiangxi Meng, Hanjing Kong, Yang Yang, Zhi‐gang Yang, Nan Li

2022Frontiers in Oncology21 citationsDOIOpen Access PDF

Abstract

Objectives To investigate the value of 18 F-FDG PET/MRI in the preoperative assessment of esophageal squamous cell carcinoma (ESCC) and compare it with 18 F-FDG PET/CT, MRI, and CECT. Methods Thirty-five patients with resectable ESCC were prospectively enrolled and underwent PET/MRI, PET/CT, and CECT before surgery. The primary tumor and regional lymph nodes were assessed by PET/MRI, PET/CT, MRI, and CECT, respectively, and the diagnostic efficiencies were determined with postoperative pathology as a reference standard. The predictive role of imaging and clinical parameters on pathological staging was analyzed. Results For primary tumor staging, the accuracy of PET/MRI, MRI, and CECT was 85.7%, 77.1%, and 51.4%, respectively. For lymph node assessment, the accuracy of PET/MRI, PET/CT, MRI, and CECT was 96.2%, 92.0%, 86.8%, and 86.3%, respectively, and the AUCs were 0.883, 0.745, 0.697, and 0.580, respectively. PET/MRI diagnosed 13, 7, and 6 more stations of lymph node metastases than CECT, MRI, and PET/CT, respectively. There was a significant difference in SUV max , TLG, and tumor wall thickness between T1-2 and T3 tumors ( p = 0.004, 0.024, and < 0.001, respectively). Multivariate analysis showed that thicker tumor wall thickness was a predictor of a higher T stage ( p = 0.040, OR = 1.6). Conclusions 18 F-FDG PET/MRI has advantages over 18 F-FDG PET/CT, MRI, and CECT in the preoperative assessment of primary tumors and regional lymph nodes of ESCC. 18 F-FDG PET/MRI may be a potential supplement or alternative imaging method for preoperative staging of ESCC.

Topics & Concepts

MedicineStandardized uptake valueNuclear medicineLymph nodePositron emission tomographyRadiologyPET-CTStage (stratigraphy)Magnetic resonance imagingPathologyBiologyPaleontologyEsophageal Cancer Research and TreatmentRadiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment