DOI: 10.1007/s00259-017-3880-4Pages: 1-7

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

1. Sungkyunkwan University School of Medicine, Department of Nuclear Medicine, Samsung Medical Center

2. Korea University College of Medicine, Department of Nuclear Medicine, Korea University Guro Hospital

3. Keimyung University School of Medicine, Department of Nuclear Medicine, Dongsan Medical Center

4. Catholic Kwandong University College of Medicine, Department of Nuclear Medicine, International St. Mary’s Hospital

5. The Catholic University of Korea, Department of Nuclear Medicine, Uijeongbu St. Mary’s Hospital

6. Kyung Hee University, Department of Nuclear Medicine, Kyung Hee University Hospital, School of Medicine

7. The Catholic University of Korea, Department of Nuclear Medicine, Incheon St. Mary’s Hospital, College of Medicine

8. National Cancer Center, Department of Nuclear Medicine, Research Institute and Hospital

9. Yonsei University College of Medicine, Department of Nuclear Medicine

Correspondence to:
Mijin Yun
Tel: +82-2-2228-2350
Email: yunmijin@yuhs.ac

Close

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.

To access the full text, please Sign in

If you have institutional access, please click here

  • Accepted: Nov 6, 2017
  • Online: Nov 22, 2017

Article Tools

eanm
EJNMMI Ad