Accuracy of the diagnostic evaluation of hepatocellular carcinoma with LI-RADS

被引:27
|
作者
Liu, Weimin [1 ]
Qin, Jie [1 ]
Guo, Ruomi [1 ]
Xie, Sidong [1 ]
Jiang, Hang [1 ]
Wang, Xiaohong [1 ]
Kang, Zhuang [1 ]
Wang, Jin [1 ]
Shan, Hong [2 ,3 ,4 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 3, Dept Radiol, Guangzhou, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 5, Guangdong Prov Engn Res Ctr Mol Imaging, Zhuhai, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 5, Ctr Intervent Med, Zhuhai, Peoples R China
[4] Sun Yat Sen Univ, Inst Intervent Radiol, Zhuhai, Peoples R China
基金
中国国家自然科学基金;
关键词
Liver; hepatocellular carcinoma; chronic liver disease; Liver Imaging Reporting and Data System; NODULES; 20; MM; CIRRHOTIC LIVER; DATA SYSTEM; CLINICAL-IMPLICATIONS; SURGICAL OUTCOMES; HEPATIC NODULES; EXPERIENCE; MANAGEMENT; CRITERIA; DISEASE;
D O I
10.1177/0284185117716700
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: There are few studies about the Liver Imaging Reporting and Data System (LI-RADS), which was developed with the purpose of standardizing the interpretation and reporting of liver imaging examinations in patients at risk for hepatocellular carcinoma (HCC). Purpose: To evaluate the diagnostic accuracy of HCC diagnosis using LI-RADS. Material and Methods: The computed tomography (CT), magnetic resonance imaging (MRI), and clinical data of 297 lesions in 249 patients between June 2012 and August 2013 were retrospectively analyzed. Using LI-RADS 2014, two radiologists evaluated the lesions and a LI-RADS category was retrospectively assigned to each nodule. Results: The final diagnoses of 297 nodules in 249 patients consisted of 191 malignant and 106 benign lesions. Out of 44 LI-RADS category 1 lesions, none were HCCs. However, 2/25 category 2 lesions, 3/35 category 3 lesions, 16/25 category 4 lesions, 151/156 category 5 lesions, and 3/12 category LRM/OM (probable malignancy, not specific for HCC/other malignancy) lesions were HCCs. The Kappa value was 0.44 (95% confidence interval [CI]=0.39-0.49) between two observers during LI-RADS grading. Conclusion: The negative predictive value of LI-RADS category 1 was 100%. In addition, a relevant proportion of lesions categorized as category 2 or 3, or even as other malignancies, were HCCs. LI-RADS category 5 had a high specificity for HCC. LI-RADS was not able to give a differential diagnosis for the false-positive lesions of LI-RADS category 5.
引用
收藏
页码:140 / 146
页数:7
相关论文
共 50 条
  • [21] Optimizing diagnostic imaging data using LI-RADS and the Likert scale in patients with hepatocellular carcinoma
    Morad, Kholoud
    Moustafa, Amr F.
    Refaat, Amal M.
    AbdEllatif, Ahmed
    ElAzab, Mohammed S.
    POLISH JOURNAL OF RADIOLOGY, 2021, 86 : E557 - E563
  • [22] Modified CEUS LI-RADS using Sonazoid for the diagnosis of hepatocellular carcinoma
    Sugimoto, Katsutoshi
    Kamiyama, Naohisa
    Kakegawa, Tatsuya
    Takahashi, Hiroshi
    Wada, Takuya
    Abe, Masakazu
    Yoshimasu, Yu
    Takeuchi, Hirohito
    Itoi, Takao
    ULTRASONOGRAPHY, 2023, 42 (03) : 388 - 399
  • [23] Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review
    Voizard, Nicolas
    Cerny, Milena
    Assad, Anis
    Billiard, Jean-Sebastien
    Olivie, Damien
    Perreault, Pierre
    Kielar, Ania
    Do, Richard K. G.
    Yokoo, Takeshi
    Sirlin, Claude B.
    Tang, An
    INSIGHTS INTO IMAGING, 2019, 10 (01)
  • [24] Imaging features of histological subtypes of hepatocellular carcinoma: Implication for LI-RADS
    Cannella, Roberto
    Burgio, Marco Dioguardi
    Beaufrere, Aurelie
    Trapani, Loic
    Paradis, Valerie
    Hobeika, Christian
    Cauchy, Francois
    Bouattour, Mohamed
    Vilgrain, Valerie
    Sartoris, Riccardo
    Ronot, Maxime
    JHEP REPORTS, 2021, 3 (06)
  • [25] Role of Kupffer phase image using sonazoid on CEUS LI-RADS® and diagnostic performance for hepatocellular carcinoma
    Hwang, Jeong Ah
    Jeong, Woo Kyoung
    Min, Ji Hye
    Kim, Yeun-Yoon
    Lim, Hyo K.
    JOURNAL OF HEPATOLOGY, 2020, 73 : S535 - S535
  • [26] Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review
    Nicolas Voizard
    Milena Cerny
    Anis Assad
    Jean-Sébastien Billiard
    Damien Olivié
    Pierre Perreault
    Ania Kielar
    Richard K. G. Do
    Takeshi Yokoo
    Claude B. Sirlin
    An Tang
    Insights into Imaging, 10
  • [27] LI-RADS category 3, 4, and M observations: a multiple parameters diagnostic model for hepatocellular carcinoma
    Chen, Jianwei
    Chen, Huizhen
    Zheng, Dechun
    Yan, Chuan
    Ye, Rongping
    Wen, Liting
    Li, Yueming
    ACTA RADIOLOGICA, 2023, 64 (12) : 2977 - 2986
  • [28] The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma
    Chaudhry, Mohammad
    McGinty, Katrina A.
    Mervak, Benjamin
    Lerebours, Reginald
    Li, Cai
    Shropshire, Erin
    Ronald, James
    Commander, Leah
    Hertel, Johann
    Luo, Sheng
    Bashir, Mustafa R.
    Burke, Lauren M. B.
    RADIOLOGY, 2020, 294 (02) : 320 - 326
  • [29] CEUS LI-RADS Categories to Distinguish Hepatocellular Carcinoma and Non-Hepatocellular Carcinoma Malignancies Response
    Zheng, Wei
    Zhou, Jian-hua
    RADIOLOGY, 2020, 296 (02) : E121 - E122
  • [30] Role of US LI-RADS in the LI-RADS Algorithm
    Rodgers, Shuchi K.
    Fetzer, David T.
    Gabriel, Helena
    Seow, James H.
    Choi, Hailey H.
    Maturen, Katherine E.
    Wasnik, Ashish P.
    Morgan, Tara A.
    Dahiya, Nirvikar
    O'Boyle, Mary K.
    Kono, Yuko
    Sirlin, Claude B.
    Kamaya, Aya
    RADIOGRAPHICS, 2019, 39 (03) : 690 - 708