Skip to main content
Top
Published in: Abdominal Radiology 1/2018

01-01-2018

LI-RADS major features: CT, MRI with extracellular agents, and MRI with hepatobiliary agents

Authors: Cynthia Santillan, Kathryn Fowler, Yuko Kono, Victoria Chernyak

Published in: Abdominal Radiology | Issue 1/2018

Login to get access

Abstract

The Liver Imaging Reporting and Data System (LI-RADS) was designed to standardize the interpretation and reporting of observations seen on studies performed in patients at risk for development of hepatocellular carcinoma (HCC). The LI-RADS algorithm guides radiologists through the process of categorizing observations on a spectrum from definitely benign to definitely HCC. Major features are the imaging features used to categorize observations as LI-RADS 3 (intermediate probability of malignancy), LIRADS 4 (probably HCC), and LI-RADS 5 (definite HCC). Major features include arterial phase hyperenhancement, washout appearance, enhancing capsule appearance, size, and threshold growth. Observations that have few major criteria are assigned lower categories than those that have several, with the goal of preserving high specificity for the LR-5 category of Definite HCC. The goal of this paper is to discuss LI-RADS major features, including definitions, rationale for selection as major features, and imaging examples.
Literature
4.
go back to reference Bruix J, Sherman M, American D (2011) Association for the Study of Liver, Management of hepatocellular carcinoma: an update. Hepatology 53(3):1020–1022CrossRefPubMedPubMedCentral Bruix J, Sherman M, American D (2011) Association for the Study of Liver, Management of hepatocellular carcinoma: an update. Hepatology 53(3):1020–1022CrossRefPubMedPubMedCentral
5.
go back to reference Wald C, et al. (2013) New OPTN/UNOS policy for liver transplant allocation: standardization of liver imaging, diagnosis, classification, and reporting of hepatocellular carcinoma. Radiology 266(2):376–382CrossRefPubMed Wald C, et al. (2013) New OPTN/UNOS policy for liver transplant allocation: standardization of liver imaging, diagnosis, classification, and reporting of hepatocellular carcinoma. Radiology 266(2):376–382CrossRefPubMed
6.
go back to reference Choi JW, et al. (2013) Hepatocellular carcinoma: imaging patterns on gadoxetic acid-enhanced MR images and their value as an imaging biomarker. Radiology 267(3):776–786CrossRefPubMed Choi JW, et al. (2013) Hepatocellular carcinoma: imaging patterns on gadoxetic acid-enhanced MR images and their value as an imaging biomarker. Radiology 267(3):776–786CrossRefPubMed
7.
go back to reference Hanna RF, et al. (2008) Cirrhosis-associated hepatocellular nodules: correlation of histopathologic and MR imaging features. Radiographics 28(3):747–769CrossRefPubMed Hanna RF, et al. (2008) Cirrhosis-associated hepatocellular nodules: correlation of histopathologic and MR imaging features. Radiographics 28(3):747–769CrossRefPubMed
8.
go back to reference European Association for the Study of the Liver, R. European Organisation for Research and Treatment of Cancer (2012) EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 56(4):908–943CrossRef European Association for the Study of the Liver, R. European Organisation for Research and Treatment of Cancer (2012) EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 56(4):908–943CrossRef
9.
go back to reference Matsui O, et al. (2011) Hepatocelluar nodules in liver cirrhosis: hemodynamic evaluation (angiography-assisted CT) with special reference to multi-step hepatocarcinogenesis. Abdom Imaging 36(3):264–272CrossRefPubMedPubMedCentral Matsui O, et al. (2011) Hepatocelluar nodules in liver cirrhosis: hemodynamic evaluation (angiography-assisted CT) with special reference to multi-step hepatocarcinogenesis. Abdom Imaging 36(3):264–272CrossRefPubMedPubMedCentral
10.
11.
go back to reference Li R, Cai P, Ma KS, et al. (2016) Dynamic enhancement patterns of intrahepatic cholangiocarcinoma in cirrhosis on contrast-enhanced computed tomography: risk of misdiagnosis as hepatocellular carcinoma. Sci Rep 26(6):267–272 Li R, Cai P, Ma KS, et al. (2016) Dynamic enhancement patterns of intrahepatic cholangiocarcinoma in cirrhosis on contrast-enhanced computed tomography: risk of misdiagnosis as hepatocellular carcinoma. Sci Rep 26(6):267–272
12.
go back to reference Iavarone M, Piscaglia F, Vavassori S, et al. (2013) Contrast enhanced CT-scan to diagnose intrahepatic cholangiocarcinoma in patients with cirrhosis. J Hepatol 58(6):1188–1193CrossRefPubMed Iavarone M, Piscaglia F, Vavassori S, et al. (2013) Contrast enhanced CT-scan to diagnose intrahepatic cholangiocarcinoma in patients with cirrhosis. J Hepatol 58(6):1188–1193CrossRefPubMed
13.
go back to reference Chen LD, Xu H, Xie XY, et al. (2008) Enhancement patterns of intrahepatic cholangiocarcinoma: comparison between contrast-enhanced ultrasound and contrast-enhanced CT. Br J Radiol 81(971):881–889CrossRefPubMed Chen LD, Xu H, Xie XY, et al. (2008) Enhancement patterns of intrahepatic cholangiocarcinoma: comparison between contrast-enhanced ultrasound and contrast-enhanced CT. Br J Radiol 81(971):881–889CrossRefPubMed
14.
go back to reference Zhao YJ, Chen W, Wu DS, Zhang WY, Zheng LR (2016) Differentiation of mass-forming intrahepatic cholangiocarcinoma from poorly differentiated hepatocellular carcinoma: based on the multivariate analysis of contrast-enhanced computed tomography findings. Abdom Radiol 41(5):978–989CrossRef Zhao YJ, Chen W, Wu DS, Zhang WY, Zheng LR (2016) Differentiation of mass-forming intrahepatic cholangiocarcinoma from poorly differentiated hepatocellular carcinoma: based on the multivariate analysis of contrast-enhanced computed tomography findings. Abdom Radiol 41(5):978–989CrossRef
15.
go back to reference Liu YI, et al. (2013) Quantitatively defining washout in hepatocellular carcinoma. AJR Am J Roentgenol 200(1):84–89CrossRefPubMed Liu YI, et al. (2013) Quantitatively defining washout in hepatocellular carcinoma. AJR Am J Roentgenol 200(1):84–89CrossRefPubMed
16.
go back to reference Pawlik TM, et al. (2005) Tumor size predicts vascular invasion and histologic grade: implications for selection of surgical treatment for hepatocellular carcinoma. Liver Transpl 11(9):1086–1092CrossRefPubMed Pawlik TM, et al. (2005) Tumor size predicts vascular invasion and histologic grade: implications for selection of surgical treatment for hepatocellular carcinoma. Liver Transpl 11(9):1086–1092CrossRefPubMed
17.
go back to reference Forner A, et al. (2008) Diagnosis of hepatic nodules 20 mm or smaller in cirrhosis: prospective validation of the noninvasive diagnostic criteria for hepatocellular carcinoma. Hepatology 47(1):97–104CrossRefPubMed Forner A, et al. (2008) Diagnosis of hepatic nodules 20 mm or smaller in cirrhosis: prospective validation of the noninvasive diagnostic criteria for hepatocellular carcinoma. Hepatology 47(1):97–104CrossRefPubMed
18.
go back to reference Choi JY, Lee JM, Sirlin CB (2014) CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features. Radiology 273(1):30–50CrossRefPubMedPubMedCentral Choi JY, Lee JM, Sirlin CB (2014) CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features. Radiology 273(1):30–50CrossRefPubMedPubMedCentral
19.
go back to reference Kelekis NL, et al. (1998) Hepatocellular carcinoma in North America: a multiinstitutional study of appearance on T1-weighted, T2-weighted, and serial gadolinium-enhanced gradient-echo images. AJR Am J Roentgenol 170(4):1005–1013CrossRefPubMed Kelekis NL, et al. (1998) Hepatocellular carcinoma in North America: a multiinstitutional study of appearance on T1-weighted, T2-weighted, and serial gadolinium-enhanced gradient-echo images. AJR Am J Roentgenol 170(4):1005–1013CrossRefPubMed
20.
go back to reference Freeny PC, Baron RL, Teefey SA (1992) Hepatocellular carcinoma: reduced frequency of typical findings with dynamic contrast-enhanced CT in a non-Asian population. Radiology 182(1):143–148CrossRefPubMed Freeny PC, Baron RL, Teefey SA (1992) Hepatocellular carcinoma: reduced frequency of typical findings with dynamic contrast-enhanced CT in a non-Asian population. Radiology 182(1):143–148CrossRefPubMed
21.
go back to reference Kadoya M, et al. (1992) Hepatocellular carcinoma: correlation of MR imaging and histopathologic findings. Radiology 183(3):819–825CrossRefPubMed Kadoya M, et al. (1992) Hepatocellular carcinoma: correlation of MR imaging and histopathologic findings. Radiology 183(3):819–825CrossRefPubMed
22.
go back to reference Choi JY, Lee JM, Sirlin CB (2014) CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part I. Development, growth, and spread: key pathologic and imaging aspects. Radiology 272(3):635–654CrossRefPubMedPubMedCentral Choi JY, Lee JM, Sirlin CB (2014) CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part I. Development, growth, and spread: key pathologic and imaging aspects. Radiology 272(3):635–654CrossRefPubMedPubMedCentral
23.
go back to reference Jeong YY, Mitchell DG, Kamishima T (2002) Small (< 20 mm) enhancing hepatic nodules seen on arterial phase MR imaging of the cirrhotic liver: clinical implications. AJR Am J Roentgenol 178(6):1327–1334CrossRefPubMed Jeong YY, Mitchell DG, Kamishima T (2002) Small (< 20 mm) enhancing hepatic nodules seen on arterial phase MR imaging of the cirrhotic liver: clinical implications. AJR Am J Roentgenol 178(6):1327–1334CrossRefPubMed
24.
go back to reference Taouli B, et al. (2005) Growth rate of hepatocellular carcinoma: evaluation with serial computed tomography or magnetic resonance imaging. J Comput Assist Tomogr 29(4):425–429CrossRefPubMed Taouli B, et al. (2005) Growth rate of hepatocellular carcinoma: evaluation with serial computed tomography or magnetic resonance imaging. J Comput Assist Tomogr 29(4):425–429CrossRefPubMed
25.
go back to reference Kubota K, et al. (2003) Growth rate of primary single hepatocellular carcinoma: determining optimal screening interval with contrast enhanced computed tomography. Dig Dis Sci 48(3):581–586CrossRefPubMed Kubota K, et al. (2003) Growth rate of primary single hepatocellular carcinoma: determining optimal screening interval with contrast enhanced computed tomography. Dig Dis Sci 48(3):581–586CrossRefPubMed
Metadata
Title
LI-RADS major features: CT, MRI with extracellular agents, and MRI with hepatobiliary agents
Authors
Cynthia Santillan
Kathryn Fowler
Yuko Kono
Victoria Chernyak
Publication date
01-01-2018
Publisher
Springer US
Published in
Abdominal Radiology / Issue 1/2018
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-017-1291-4

Other articles of this Issue 1/2018

Abdominal Radiology 1/2018 Go to the issue