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  • [Eur J Nucl Med Mol Imaging.] Preoperative prediction of microvascular invasion of hepatocellular carcinoma using 18F-FDG PET/CT: a multicenter retrospective cohort study.

    계명의대, 연세의대 / 현승협, 송봉일*, 윤미진*

  • 출처
    Eur J Nucl Med Mol Imaging.
  • 등재일
    2018 May
  • 저널이슈번호
    45(5):720-726. doi: 10.1007/s00259-017-3880-4. Epub 2017 Nov 22.
  • 내용

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    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.

     


    Author information

    Hyun SH1, Eo JS2, Song BI3, Lee JW4, Na SJ5, Hong IK6, Oh JK7, Chung YA7, Kim TS8, Yun M9.
    1
    Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
    2
    Department of Nuclear Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
    3
    Department of Nuclear Medicine, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, South Korea. song@dsmc.or.kr.
    4
    Department of Nuclear Medicine, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, South Korea.
    5
    Department of Nuclear Medicine, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
    6
    Department of Nuclear Medicine, Kyung Hee University Hospital, School of Medicine, Kyung Hee University, Seoul, South Korea.
    7
    Department of Nuclear Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, South Korea.
    8
    Department of Nuclear Medicine, Research Institute and Hospital, National Cancer Center, Goyang, South Korea.
    9
    Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, South Korea. yunmijin@yuhs.ac.

  • 키워드
    FDG PET/CT; Hepatocellular carcinoma; Microvascular invasion; Multicenter trial; Standardized uptake value
  • 편집위원

    FDG PET 으로 간세포암의 당대사능이 해당 종양의 미세혈관 침범을 예측해 줄 수 있는 영상파라미터임을 밝혀낸 연구로 종양학 의사와 임상 핵의학자에게 유용한 정보를 제공할 것으로 생각됨. 또한 국내 다기관에서 모여진 자료를 이용한 임상연구 결과로 소규모기관에 소속된 많은 임상 핵의학자에게 좋은 영향을 줄 것으로 생각됨.

    2018-06-21 11:05:38

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