CT/MRI LI-RADS v2018 vs. CEUS LI-RADS v2017-Can Things Be Put Together?

被引:24
作者
Caraiani, Cosmin [1 ]
Boca, Bianca [1 ,2 ,3 ]
Bura, Vlad [2 ,4 ,5 ]
Sparchez, Zeno [6 ,7 ]
Dong, Yi [8 ]
Dietrich, Christoph [9 ]
机构
[1] Iuliu Hatieganu Univ Med & Pharm Cluj Napoca, Dept Med Imaging, Cluj Napoca 400012, Romania
[2] Cty Clin Emergency Hosp Cluj Napoca, Dept Radiol, Cluj Napoca 400006, Romania
[3] George Emil Palade Univ Med Pharm Sci & Technol T, Dept Radiol, Targu Mures 540139, Romania
[4] Addenbrookes Hosp, Dept Radiol, Cambridge CB2 0QQ, England
[5] Univ Cambridge, Cambridge CB2 0QQ, England
[6] Reg Inst Gastroenterol & Hepatol Prof Dr Octavian, Dept Gastroenterol & Hepatol, Cluj Napoca 400158, Romania
[7] Iuliu Hatieganu Univ Med & Pharm, Med Dept 3, Cluj Napoca 400162, Romania
[8] Fudan Univ, Zhongshan Hosp, Dept Ultrasound, Shanghai 200032, Peoples R China
[9] Kliniken Hirslanden Beau Site Salem & Permancence, Dept Allgemeine Innere Med DAIM, CH-3013 Bern, Switzerland
来源
BIOLOGY-BASEL | 2021年 / 10卷 / 05期
关键词
LI-RADS; ultrasound; CEUS; CT; MRI; CONTRAST-ENHANCED ULTRASOUND; SMALL HEPATOCELLULAR-CARCINOMA; FOCAL LIVER-LESIONS; MAGNETIC-RESONANCE; DATA SYSTEM; INTRAHEPATIC CHOLANGIOCARCINOMA; NONINVASIVE DIAGNOSIS; COMPUTED-TOMOGRAPHY; CHOLANGIOCELLULAR CARCINOMA; FORMING CHOLANGIOCARCINOMA;
D O I
10.3390/biology10050412
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Simple Summary The LI-RADS system is nowadays the mainstream system used in classifying liver nodules in cirrhotic liver according to their risk of malignancy. Two main LI-RADS documents have been released-the CEUS LI-RADS v2017 document, and the CT/MRI LI-RADS v2018 document. In some circumstances, a nodule can be differently classified when using CEUS versus when using CT or MRI. In this paper, we also focus on the existing similitudes between the two documents but, essentially, on the differences between the two main documents and the complementarities between imaging techniques in characterizing liver nodules in cirrhotic livers. Awareness of the complementarity of imaging techniques may lead to an improvement in the characterization and classification of liver nodules and will reduce the number of liver biopsies. This paper proposes practical solutions in order to better classify and manage observations or nodules detected in cirrhotic livers. Different LI-RADS core documents were released for CEUS and for CT/MRI. Both documents rely on major and ancillary diagnostic criteria. The present paper offers an exhaustive comparison of the two documents focusing on the similarities, but especially on the differences, complementarity, and added value of imaging techniques in classifying liver nodules in cirrhotic livers. The major diagnostic criteria are defined, and the sensitivity and specificity of each major diagnostic criteria are presented according to the literature. The existing differences between techniques in assessing the major diagnostic features can be then exploited in order to ensure a better classification and a better clinical management of liver nodules in cirrhotic livers. Ancillary features depend on the imaging technique used, and their presence can upgrade or downgrade the LI-RADS score of an observation, but only as far as LI-RADS 4. MRI is the imaging technique that provides the greatest number of ancillary features, whereas CEUS has fewer ancillary features than other imaging techniques. In the final part of the manuscript, some recommendations are made by the authors in order to guidephysicians as to when adding another imaging technique can be helpful in managing liver nodules in cirrhotic livers.
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页数:17
相关论文
共 71 条
[1]   LI-RADS for CT diagnosis of hepatocellular carcinoma: performance of major and ancillary features [J].
Alhasan, Ayman ;
Cerny, Milena ;
Olivie, Damien ;
Billiard, Jean-Sebastien ;
Bergeron, Catherine ;
Brown, Kip ;
Bodson-Clermont, Paule ;
Castel, Helene ;
Turcotte, Simon ;
Perreault, Pierre ;
Tang, An .
ABDOMINAL RADIOLOGY, 2019, 44 (02) :517-528
[2]  
American College of Radiology, 2018, CT MRI LIV IM REP DA
[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]   Comparison of International Guidelines for Noninvasive Diagnosis of Hepatocellular Carcinoma [J].
Bota, Simona ;
Piscaglia, Fabio ;
Marinelli, Sara ;
Pecorelli, Anna ;
Terzi, Eleonora ;
Bolondi, Luigi .
LIVER CANCER, 2012, 1 (3-4) :190-200
[5]   Management of Hepatocellular Carcinoma: An Update [J].
Bruix, Jordi ;
Sherman, Morris .
HEPATOLOGY, 2011, 53 (03) :1020-1022
[6]   Focal liver masses: Enhancement patterns on contrast-enhanced images - Concordance of US scans with CT scans and MR images [J].
Burns, Peter N. ;
Wilson, Stephanie R. .
RADIOLOGY, 2007, 242 (01) :162-174
[7]   LI-RADS Version 2018 Ancillary Features at MRI [J].
Cerny, Milena ;
Chernyak, Victoria ;
Olivie, Damien ;
Billiard, Jean-Sebastien ;
Murphy-Lavallee, Jessica ;
Kielar, Ania Z. ;
Elsayes, Khaled M. ;
Bourque, Laurence ;
Hooker, Jonathan C. ;
Sirlin, Claude B. ;
Tang, An .
RADIOGRAPHICS, 2018, 38 (07) :1973-2001
[8]   LI-RADS for MR Imaging Diagnosis of Hepatocellular Carcinoma: Performance of Major and Ancillary Features [J].
Cerny, Milena ;
Bergeron, Catherine ;
Billiard, Jean-Sebastien ;
Murphy-Lavallee, Jessica ;
Olivie, Damien ;
Berube, Joshua ;
Fan, Boyan ;
Castel, Helene ;
Turcotte, Simon ;
Perreault, Pierre ;
Chagnon, Miguel ;
Tang, An .
RADIOLOGY, 2018, 288 (01) :118-128
[9]   Intrahepatic cholangiocarcinoma and hepatocellular carcinoma: differential diagnosis with contrast-enhanced ultrasound [J].
Chen, Li-Da ;
Xu, Hui-Xiong ;
Xie, Xiao-Yan ;
Xie, Xiao-Hua ;
Xu, Zuo-Feng ;
Liu, Guang-Jian ;
Wang, Zhu ;
Lin, Man-Xia ;
Lu, Ming-De .
EUROPEAN RADIOLOGY, 2010, 20 (03) :743-753
[10]   Effect of threshold growth as a major feature on LI-RADS categorization [J].
Chernyak, Victoria ;
Kobi, Mariya ;
Flusberg, Milana ;
Fruitman, Kate C. ;
Sirlin, Claude B. .
ABDOMINAL RADIOLOGY, 2017, 42 (08) :2089-2100