MR VERSUS CEUS LI-RADS FOR DISTINGUISHING HEPATOCELLULAR CARCINOMA FROM OTHER HEPATIC MALIGNANCIES IN HIGH-RISK PATIENTS

被引:16
作者
Huang, Zhe [1 ]
Zhou, Pingping [1 ]
Li, Shanshan [1 ]
Li, Kaiyan [1 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Med Ultrasound, Wuhan 430030, Peoples R China
关键词
Magnetic resonance imaging; Contrast-enhanced ultrasonography; Liver Imaging Reporting and Data System; LIVER-LESIONS; SMALL NODULES; CIRRHOSIS; PATTERN;
D O I
10.1016/j.ultrasmedbio.2021.01.020
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Distinguishing between other hepatic malignancies (OMs) and hepatocellular carcinoma (HCC) is vital to allow clinicians to determine optimal treatment and assess prognosis in patients at high risk for HCC. This study evaluated the performance of the Liver Imaging Reporting and Data System (LI-RADS) using magnetic resonance imaging (MRI) versus contrast-enhanced ultrasonography (CEUS) for differentiating HCC from OMs in patients at high risk for HCC. This retrospective study consecutively enrolled 106 high-risk patients with HCC and 52 high-risk patients with OMs. Patients underwent both MRI and CEUS, with histologic diagnosis as a reference standard. The diagnostic performance of MR versus CEUS LI-RADS was calculated and compared. The performance of the modified CEUS LI-RADS criteria was also evaluated and compared. Our research found that MRI features significantly differed between patients with OMs and those with HCC (p < 0.05), with sensitivities of 34.6%-69.2% and specificities of 83.0%-95.3% for diagnosing OMs and an LI-RADS M (LR-M): definite or probable malignancy, not specific for hepatocellular carcinoma sensitivity of 90.4% and specificity of 83.0% for diagnosing OM. CEUS features also significantly differed between patients with OM and HCC (p < 0.05), with sensitivities of 11.5%-96.2% and specificities of 23.6%-100% for diagnosing OMs, and an LR-M sensitivity of 98.1% and specificity of 84.0% for diagnosing OMs. Accuracies of category LR-M did not significantly differ between MR and CEUS LI-RADS (85.4% vs. 88.6%, p = 0.724). After reclassification of category LR-M nodules to category LR-5 if they exhibited clear intratumoral non-enhanced area boundaries and no punched-out appearance before 5 min, accuracy increased from 88.6% to 96.8% for CEUS LR-M and from 84.8% to 91.1% for CEUS LR-5. LR-M accuracies were significantly higher for the modified version of the CEUS LI-RADS than for MR LI-RADS (96.8% vs. 85.4%, respectively, p = 0.04). CEUS LI-RADS and MR LIRADS can effectively be used to distinguish HCC from OMs. In patients at high risk of HCC, performance may be further improved by using a modified CEUS LI-RADS classification system in which category LR-M lesions are considered LR-5 if they have clear intratumoral non-enhanced area boundaries and do not have a punched-out appearance. (C) 2021 World Federation for Ultrasound in Medicine & Biology. All rights reserved.
引用
收藏
页码:1244 / 1252
页数:9
相关论文
共 26 条
[1]   Reliability, Validity, and Reader Acceptance of LI-RADS - An In-depth Analysis [J].
Barth, Borna K. ;
Donati, Olivio F. ;
Fischer, Michael A. ;
Ulbrich, Erika J. ;
Karlo, Christoph A. ;
Becker, Anton ;
Seifert, Burkhard ;
Reiner, Caecilia S. .
ACADEMIC RADIOLOGY, 2016, 23 (09) :1145-1153
[2]   Characterization of Focal Liver Lesions using CEUS and MRI with Liver-Specific Contrast Media: Experience of a Single Radiologic Center [J].
Beyer, Lukas Philipp ;
Wassermann, Florian ;
Pregler, Benedikt ;
Michalik, Katharina ;
Rennert, Janine ;
Wiesinger, Isabel ;
Stroszczynski, Christian ;
Wiggermann, Philipp ;
Jung, Ernst Michael .
ULTRASCHALL IN DER MEDIZIN, 2017, 38 (06) :619-625
[3]   Characterization of small nodules in cirrhosis by assessment of vascularity: The problem of hypovascular hepatocellular carcinoma [J].
Bolondi, L ;
Gaiani, S ;
Celli, N ;
Goffieri, R ;
Grigioni, WF ;
Leoni, S ;
Venturi, AM ;
Piscaglia, F .
HEPATOLOGY, 2005, 42 (01) :27-34
[4]  
陈敏华, 2013, [中华超声影像学杂志, Chinese Journal of Ultrasonography], V22, P696
[5]   Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients [J].
Chernyak, Victoria ;
Fowler, Kathryn J. ;
Kamaya, Aya ;
Kielar, Ania Z. ;
Elsayes, Khaled M. ;
Bashir, Mustafa R. ;
Kono, Yuko ;
Do, Richard K. ;
Mitchell, Donald G. ;
Singal, Amit G. ;
Tang, An ;
Sirlin, Claude B. .
RADIOLOGY, 2018, 289 (03) :816-830
[6]   Differences in Liver Imaging and Reporting Data System Categorization Between MRI and CT [J].
Corwin, Michael T. ;
Fananapazir, Ghaneh ;
Jin, Michael ;
Lamba, Ramit ;
Bashir, Mustafa R. .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2016, 206 (02) :307-312
[7]   Malignant focal liver lesions at contrast-enhanced ultrasonography and magnetic resonance with hepatospecific contrast agent [J].
D'Onofrio, M. ;
Crosara, S. ;
De Robertis, R. ;
Canestrini, S. ;
Cantisani, V. ;
Morana, G. ;
Mucelli, R. Pozzi .
ULTRASOUND, 2014, 22 (02) :91-98
[8]   LI-RADS: a conceptual and historical review from its beginning to its recent integration into AASLD clinical practice guidance [J].
Elsayes, Khaled M. ;
Kielar, Ania Z. ;
Chernyak, Victoria ;
Morshid, Ali ;
Furlan, Alessandro ;
Masch, William R. ;
Marks, Robert M. ;
Kamaya, Aya ;
Do, Richard K. G. ;
Kono, Yuko ;
Fowler, Kathryn J. ;
Tang, An ;
Bashir, Mustafa R. ;
Hecht, Elizabeth M. ;
Jambhekar, Kedar ;
Lyshchik, Andrej ;
Rodgers, Shuchi K. ;
Heiken, Jay P. ;
Kohli, Marc ;
Fetzer, David T. ;
Wilson, Stephanie R. ;
Kassam, Zahra ;
Mendiratta-Lala, Mishal ;
Singal, Amit G. ;
Lim, Christopher S. ;
Cruite, Irene ;
Lee, James ;
Ash, Ryan ;
Mitchell, Donald G. ;
McInnes, Matthew D. F. ;
Sirlin, Claude B. .
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2019, 6 :49-69
[9]   FOREWORD TO GUIDELINES AND GOOD CLINICAL PRACTICE RECOMMENDATIONS FOR CONTRAST ENHANCED ULTRASOUND (CEUS) IN THE LIVER - UPDATE 2012 [J].
Greenbaum, Lennard D. .
ULTRASOUND IN MEDICINE AND BIOLOGY, 2013, 39 (02) :186-186
[10]   Improved Detection of preclinical Colorectal Liver Metastases by High Resolution Ultrasound including Molecular Ultrasound Imaging using the targeted Contrast Agent BR55 [J].
Hackl, C. ;
Schacherer, D. ;
Anders, M. ;
Wiedemann, L. M. ;
Mohr, A. ;
Schlitt, H. J. ;
Stroszczynski, C. ;
Tranquart, F. ;
Jung, E. M. .
ULTRASCHALL IN DER MEDIZIN, 2016, 37 (03) :290-296