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Multiparametric FDG-PET/MRI of Hepatocellular Carcinoma: Initial Experience

PURPOSE: To compare multiparametric (mp)FDG-PET/MRI metrics between hepatocellular carcinoma (HCC) and liver parenchyma and to assess the correlation between mpMRI and FDG-PET standard uptake values (SUVs) in liver parenchyma and HCC. METHODS: This prospective, institutional review board-approved st...

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Detalles Bibliográficos
Autores principales: Hectors, Stefanie J., Wagner, Mathilde, Besa, Cecilia, Huang, Wei, Taouli, Bachir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192124/
https://www.ncbi.nlm.nih.gov/pubmed/30402045
http://dx.doi.org/10.1155/2018/5638283
Descripción
Sumario:PURPOSE: To compare multiparametric (mp)FDG-PET/MRI metrics between hepatocellular carcinoma (HCC) and liver parenchyma and to assess the correlation between mpMRI and FDG-PET standard uptake values (SUVs) in liver parenchyma and HCC. METHODS: This prospective, institutional review board-approved study enrolled 15 patients (M/F 12/3; mean age 61 y) with HCC. mpMRI including blood-oxygen-level-dependent (BOLD) MRI, intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI), and dynamic contrast-enhanced-(DCE-) MRI was performed simultaneously with (18)F-FDG-PET on a 3T PET/MRI hybrid system. Quantitative BOLD, IVIM and DCE-MRI parameters (Tofts model (TM) and shutter-speed model (SSM)), and PET parameters (SUV(mean) and SUV(max)) were quantified and compared between HCC lesions and liver parenchyma using Wilcoxon signed-rank tests. SUV ratios between HCCs and liver were also calculated (SUV(mean) T/L and SUV(max) T/L). Diagnostic performance of (combined) mp-PET/MRI parameters for characterization of HCC was assessed using ROC analysis. Spearman correlations between PET and mpMRI parameters in HCC tumors and liver parenchyma were evaluated. RESULTS: 21 HCC lesions (mean size 4.0 ± 2.4 cm; range 2–13 cm) were analyzed. HCCs exhibited significantly higher arterial fraction (from DCE-MRI) and lower R(2)(∗) pre-O(2) and post-O(2) (from BOLD-MRI) versus liver parenchyma (P < 0.032). The highest diagnostic performance for differentiation between HCC and liver parenchyma was achieved for combined ART SSM and R(2)(∗) post-O(2) (AUC = 0.91). SUV(max) showed reasonable performance for differentiation of HCC versus liver (AUC = 0.75). In HCC, DCE-MRI parameters K(trans) (TM and SSM) and v(e) TM exhibited significant negative correlations with SUV(max) T/L (r ranges from −0.624 to −0.566; FDR-adjusted P < 0.050). CONCLUSIONS: Despite the observed reasonable diagnostic performance of FDG-PET SUV(max) for HCC detection and several significant correlations between FDG-PET SUV and DCE-MRI parameters, FDG-PET did not provide clear additional value for HCC characterization compared to mpMRI in this pilot study.