Can Risk Stratification Based on Ultrasound Elastography of Background Liver Assist CEUS LI-RADS in the Diagnosis of HCC?

被引:3
|
作者
Li, Jiawu [1 ]
Ling, Wenwu [1 ]
Chen, Shuang [1 ]
Yang, Lulu [1 ]
Ma, Lin [1 ]
Lu, Qiang [1 ]
Luo, Yan [1 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Ultrasound, Chengdu, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
基金
中国国家自然科学基金;
关键词
contrast-enhanced ultrasound; liver imaging reporting and data system; liver; hepatocellular carcinoma; ultrasound elastography; GUIDELINES;
D O I
10.3389/fonc.2021.662680
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective To explore whether risk stratification based on ultrasound elastography of liver background assists contrast-enhanced ultrasound liver imaging reporting and data system (CEUS LI-RADS) in diagnosing HCC. Materials and Methods In total, 304 patients with focal liver lesions (FLLs) confirmed by pathology underwent CEUS and ultrasound elastography were included in this retrospective study. Patients with chronic hepatitis B (CHB, n=193) and non-CHB (n=111) were stratified by four liver stiffness measurement (LSM) thresholds. A LI-RADS category was assigned to FLLs using CEUS LI-RADS v2017. The diagnostic performance was assessed with the AUC, sensitivity, specificity, PPV, and NPV. Results The mean background liver stiffness of HCC patients with CHB, HCC patients without CHB and non-HCC patients without CHB were 9.72 kPa, 8.23 kPa and 4.97 kPa, respectively. The AUC, sensitivity, specificity and PPV of CEUS LI-RADS for HCC in CHB patients with LSM >= 5.8 kPa, >= 6.8 kPa, >= 9.1 kPa, and >= 10.3 kPa were high, with corresponding values of 0.745 to 0.880, 94.2% to 95.3%, 81.3% to 85.7%, and 98.1% to 98.8%, respectively. Higher AUC and specificity for HCC was observed in non-CHB patients with LSM >= 9.1 kPa and >= 10.3 kPa compared to non-CHB patients with LSM >= 5.8 kPa and >= 6.8 kPa, with corresponding values of0.964/1.000 vs 0.590/0.580, and 100%/100% vs 60%/70%, respectively. Conclusion CEUS LI-RADS has a good diagnostic performance in CHB patients regardless of the background liver stiffness. Furthermore, CEUS LI-RADS can be applied for non-CHB patients with a LSM >= 9.1 kPa.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Contrast Enhanced Ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS®): the official version by the American College of Radiology (ACR)
    Kono, Yuko
    Lyshchik, Andrej
    Cosgrove, David
    Dietrich, Christoph F.
    Jang, Hyun-Jung
    Kim, Tae Kyoung
    Piscaglia, Fabio
    Willmann, Juergen K.
    Wilson, Stephanie R.
    Santillan, Cynthia
    Kambadakone, Avinash
    Mitchell, Donald
    Vezeridis, Alexander
    Sirlin, Claude B.
    ULTRASCHALL IN DER MEDIZIN, 2017, 38 (01): : 85 - 86
  • [32] The Value of CEUS LI-RADS combined with AFP in early diagnosis of hepatocellular carcinoma in low- and high-risk patients
    Wu, Yafei
    Chen, Yuanyuan
    Wei, Lili
    Ding, Zhanling
    Zhao, Shengfa
    Bao, Shengxian
    Tang, Jiali
    Li, Hang
    Liu, Junjie
    Zhu, Shangyong
    JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2024, 20 (04) : 1274 - 1283
  • [33] Tumor size-based validation of contrast-enhanced ultrasound liver imaging reporting and data system (CEUS LI-RADS) 2017 for hepatocellular carcinoma characterizing
    Pan, Jia-Min
    Chen, Wei
    Zheng, Yan-Ling
    Cheng, Mei-Qing
    Zeng, Dan
    Huang, Hui
    Huang, Yang
    Xie, Xiao-Yan
    Lu, Ming-De
    Kuang, Ming
    Hu, Hang-Tong
    Chen, Li-Da
    Wang, Wei
    BRITISH JOURNAL OF RADIOLOGY, 2021, 94 (1126):
  • [34] Optimizing LI-RADS: ancillary features screened from LR-3/4 categories can improve the diagnosis of HCC on MRI
    Zhang, Zi-xin
    Xv, Hui
    Du, Yan-ni
    Lv, Zhi-bin
    Yang, Zheng-han
    BMC GASTROENTEROLOGY, 2024, 24 (01)
  • [35] Optimizing LI-RADS: ancillary features screened from LR-3/4 categories can improve the diagnosis of HCC on MRI
    Zi-xin Zhang
    Hui Xv
    Yan-ni Du
    Zhi-bin Lv
    Zheng-han Yang
    BMC Gastroenterology, 24
  • [36] Comparison of machine learning models and CEUS LI-RADS in differentiation of hepatic carcinoma and liver metastases in patients at risk of both hepatitis and extrahepatic malignancy
    Li, Jianming
    Li, Huarong
    Xiao, Fan
    Liu, Ruiqi
    Chen, Yixu
    Xue, Menglong
    Yu, Jie
    Liang, Ping
    CANCER IMAGING, 2023, 23 (01)
  • [37] Comparison of machine learning models and CEUS LI-RADS in differentiation of hepatic carcinoma and liver metastases in patients at risk of both hepatitis and extrahepatic malignancy
    Jianming Li
    Huarong Li
    Fan Xiao
    Ruiqi Liu
    Yixu Chen
    Menglong Xue
    Jie Yu
    Ping Liang
    Cancer Imaging, 23
  • [38] Contrast-enhanced ultrasound for non-invasive diagnosis of hepatocellular carcinoma: A comparison between CEUS LI-RADS and ESCULAP criteria in a large high-risk cohort of patients
    Saviano, A.
    Riccardi, L.
    Zocco, M. A.
    Baumert, T.
    Rapaccini, G. L.
    Pompili, M.
    Gasbarrini, A.
    JOURNAL OF HEPATOLOGY, 2018, 68 : S417 - S418
  • [39] Contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) 2017 - a review of important differences compared to the CT/MRI system
    Kim, Tae Kyoung
    Noh, Seung Yeon
    Wilson, Stephanie R.
    Kono, Yuko
    Piscaglia, Fabio
    Jang, Hyun-Jung
    Lyshchik, Andrej
    Dietrich, Christoph F.
    Willmann, Juergen K.
    Vezeridis, Alexander
    Sirlin, Claude B.
    CLINICAL AND MOLECULAR HEPATOLOGY, 2017, 23 (04) : 280 - 289
  • [40] The preliminary application of liver imaging reporting and data system (LI-RADS) with contrast-enhanced ultrasound (CEUS) on small hepatic nodules (≤ 2cm)
    Ling, Wenwu
    Wang, Manni
    Ma, Xuelei
    Qiu, Tingting
    Li, Jiawu
    Lu, Qiang
    Luo, Yan
    JOURNAL OF CANCER, 2018, 9 (16): : 2946 - 2952