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Preoperative prediction of microvascular invasion of hepatocellular carcinoma using 18F-FDG PET/CT: a multicenter retrospective cohort study

Authors
 Seung Hyup Hyun  ;  Jae Seon Eo  ;  Bong-Il Song  ;  Jeong Won Lee  ;  Sae Jung Na  ;  Il Ki Hong  ;  Jin Kyoung Oh  ;  Yong An Chung  ;  Tae-Sung Kim  ;  Mijin Yun 
Citation
 European Journal of Nuclear Medicine and Molecular Imaging, Vol.45(5) : 720-726, 2018 
Journal Title
 European Journal of Nuclear Medicine and Molecular Imaging 
ISSN
 1619-7070 
Issue Date
2018
Keywords
FDG PET/CT ; Hepatocellular carcinoma ; Microvascular invasion ; Multicenter trial ; Standardized uptake value
Abstract
PURPOSE: The aim of this study was to assess the potential of tumor 18F-fluorodeoxyglucose (FDG) avidity as a preoperative imaging biomarker for the prediction of microvascular invasion (MVI) of hepatocellular carcinoma (HCC). METHODS: One hundred and fifty-eight patients diagnosed with Barcelona Clinic Liver Cancer stages 0 or A HCC (median age, 57 years; interquartile range, 50-64 years) who underwent 18F-FDG positron emission tomography with computed tomography (PET/CT) before curative surgery at seven university hospitals were included. Tumor FDG avidity was measured by tumor-to-normal liver standardized uptake value ratio (TLR) of the primary tumor on FDG PET/CT imaging. Logistic regression analysis was performed to identify significant parameters associated with MVI. The predictive performance of TLR and other clinical variables was assessed using receiver operating characteristic (ROC) curve analysis. RESULTS: MVI was present in 76 of 158 patients with HCCs (48.1%). Multivariable logistic regression analysis revealed that TLR, serum alpha-fetoprotein (AFP) level, and tumor size were significantly associated with the presence of MVI (P < 0.001). Multinodularity was not significantly associated with MVI (P = 0.563). The area under the ROC curve (AUC) for predicting the presence of MVI was best with TLR (AUC = 0.704), followed by tumor size (AUC = 0.685) and AFP (AUC = 0.670). We were able to build an improved prediction model combining TLR, tumor size, and AFP by using multivariable logistic regression modeling (AUC = 0.756). CONCLUSIONS: Tumor FDG avidity measured by TLR on FDG PET/CT is a preoperative imaging biomarker for the prediction of MVI in patients with HCC.
Full Text
https://link.springer.com/article/10.1007%2Fs00259-017-3880-4
DOI
10.1007/s00259-017-3880-4
Appears in Collections:
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실)
Yonsei Authors
윤미진(Yun, Mi Jin) ORCID logo https://orcid.org/0000-0002-1712-163X
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/165442
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