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Comparison of 18F-PSMA-1007 and 18F-FDG PET/CT imaging in diagnosis of newly diagnosed hepatocellular carcinoma / 中华核医学与分子影像杂志
Article en Zh | WPRIM | ID: wpr-1027892
Biblioteca responsable: WPRO
ABSTRACT
Objective:To compare the clinical utility of 18F-prostate specific membrane antigen (PSMA)-1007 and 18F-FDG PET/CT imaging in newly diagnosed hepatocellular carcinoma (HCC). Methods:From April 2022 to July 2022, 17 patients (14 males, 3 females, age 36-73(54.4±10.1) years) with newly diagnosed HCC who underwent 18F-FDG and 18F-PSMA-1007 PET/CT imaging within 3 d in the First Affiliated Hospital of Zhengzhou University were prospectively enrolled. ROIs were drawn from normal liver tissue (L), abdominal aorta (A), right gluteus medius (M), and SUV max of these regions were compared with the SUV max of primary tumor (T). Wilcoxon rank sum test and Kruskal-Wallis rank sum test were used to analyze the data. Results:18F-FDG PT/CT, 18F-PSMA-1007 PET/CT and enhanced MRI detected 1(0, 2), 2(1, 5) and 2(1, 4) tumor lesions of the liver in each patient respectively ( H=7.10, P=0.029), and 18F-PSMA-1007 detected more lesions than 18F-FDG ( P=0.024). Although SUV max of 18F-PSMA-1007 in HCC was significantly higher than that of 18F-FDG (25.7(17.1, 45.1) vs 6.3(2.9, 12.4); z=3.39, P=0.001), there was no significant difference of T/L ratio between 18F-PSMA-1007 and 18F-FDG PET/CT imaging (2.7(2.1, 4.7) vs 1.6(1.0, 4.5); z=0.52, P=0.602). T/A and T/M ratios were significantly higher in 18F-PSMA-1007 PET/CT imaging than those in 18F-FDG PET/CT imaging ( z values: 3.15, 3.53, P values: 0.002, <0.001). 18F-PSMA-1007 PET/CT imaging found high uptake foci in the liver and ribs in 2 cases, which were pathologically confirmed as bone metastasis of HCC, while those lesions were not found by 18F-FDG imaging. Conclusion:Compared with 18F-FDG, 18F-PSMA-1007 PET/CT demonstrates higher tumor uptake, more intrahepatic tumors foci and distant bone metastases.
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Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: Chinese Journal of Nuclear Medicine and Molecular Imaging Año: 2023 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: Chinese Journal of Nuclear Medicine and Molecular Imaging Año: 2023 Tipo del documento: Article