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 36 条
  • [21] The comparison of contrast-enhanced ultrasound and gadoxetate disodium-enhanced MRI LI-RADS for nodules ≤2 cm in patients at high risk for HCC: a prospective study
    Qin, Zhengyi
    Zhou, Yan
    Zhang, Xiang
    Ding, Jianmin
    Zhou, Hongyu
    Wang, Yandong
    Zhao, Lin
    Chen, Chen
    Jing, Xiang
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [22] LI-RADS threshold growth based on tumor growth rate can improve the diagnosis of hepatocellular carcinoma ≤ 3.0 cm
    Boryeong Jeong
    Se Jin Choi
    Sang Hyun Choi
    Hyeon Ji Jang
    Jae Ho Byun
    Hyung Jin Won
    Yong Moon Shin
    European Radiology, 2024, 34 : 1210 - 1218
  • [23] LI-RADS threshold growth based on tumor growth rate can improve the diagnosis of hepatocellular carcinoma ≤ 3.0 cm
    Jeong, Boryeong
    Choi, Se Jin
    Choi, Sang Hyun
    Jang, Hyeon Ji
    Byun, Jae Ho
    Won, Hyung Jin
    Shin, Yong Moon
    EUROPEAN RADIOLOGY, 2024, 34 (02) : 1210 - 1218
  • [24] 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)
  • [25] 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
  • [26] 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)
  • [27] 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
  • [28] Computer-aided diagnosis program for classifying the risk of hepatocellular carcinoma on MR images following liver imaging reporting and data system (LI-RADS)
    Kim, Youngwoo
    Furlan, Alessandro
    Borhani, Amir A.
    Bae, Kyongtae T.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2018, 47 (03) : 710 - 722
  • [29] Diagnostic Accuracy of Contrast-Enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) for Differentiating Between Hepatocellular Carcinoma and Other Hepatic Malignancies in High-Risk Patients: A Meta-Analysis
    Li, Jiawu
    Yang, Lulu
    Ma, Lin
    Lu, Qiang
    Luo, Yan
    ULTRASCHALL IN DER MEDIZIN, 2021, 42 (02): : 187 - 193
  • [30] Intraindividual Comparison of Contrast-Enhanced Ultrasound Using Perfluorobutane With Modified Criteria Versus CT/MRI LI-RADS Version 2018 for Diagnosing HCC in High-Risk Patients
    Li, Lingling
    Mao, Siyue
    Wang, Jianwei
    Zheng, Wei
    Shen, Jingxian
    Clevert, Dirk-Andre
    Zhou, Jianhua
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2023, 220 (05) : 682 - 691