Literature DB >> 33778701

Use of CEUS LI-RADS for the Accurate Diagnosis of Nodules in Patients at Risk for Hepatocellular Carcinoma: A Validation Study.

Alina Makoyeva1, Tae Kyoung Kim1, Hyun-Jung Jang1, Alejandra Medellin1, Stephanie R Wilson1.   

Abstract

Purpose: To validate the contrast agent-enhanced US Liver Imaging Reporting and Data System (CEUS LI-RADS) algorithm for accurate diagnosis of hepatocellular carcinoma (HCC) and categorization of all nodules encountered in patients at risk for HCC. Materials and
Methods: A single-center retrospective review of 196 nodules in 184 patients at risk for HCC (consisting of 139 HCCs, 18 non-HCC malignancies, and 39 benign nodules) was performed in a three-reader blinded read format, with the use of the CEUS LI-RADS algorithm. Pathologic confirmation was available for 143 nodules (122 HCCs, 18 non-HCC malignancies, and three benign nodules). Nodule sizes ranged between 1.0 and 16.2 cm. Nodules assessed with contrast-enhanced US were assigned various CEUS LI-RADS categories by three blinded readers. CEUS LI-RADS categorization was then compared against histopathologic findings, concurrent CT, and/or MR images or follow-up imaging to assess diagnostic accuracy of CEUS LI-RADS. In addition, the proportion of HCC in all LI-RADS (LR) categories, univariable and multivariable feature analysis, and interrater agreement using Light κ were determined.
Results: The LR-5 category, determined through radiologist categorization of nodules using the CEUS LI-RADS criteria, showed sensitivity, specificity, positive predictive value, and negative predictive value of 86% (119 of 139), 96% (55 of 57), 98% (119 of 121), and 73% (55 of 75), respectively, for the diagnosis of HCC. Two false-positive cases of LR-5 included a cholangiocarcinoma and a combined hepatocellular and cholangiocarcinoma. The remainder of the cholangiocarcinomas in the sample (n = 8) were appropriately categorized as LR-M. Multivariable logistic regression analysis showed that washout of greater than 60 seconds was the contrast-enhanced US feature most predictive of HCC diagnosis, whereas washout of less than 60 seconds was the feature most predictive of nonhepatocellular malignancy. The proportion of HCC nodules categorized in the LR-M and LR-4 categories was 35% and 20%, respectively. Light κ agreement between readers for LI-RADS categorization was 90%.
Conclusion: This study showed excellent specificity for the CEUS LI-RADS LR-5 category, allowing for confident imaging diagnosis of HCC, without necessity for pathologic confirmation. In addition, there was accurate differentiation of HCC from non-HCC malignancies and benign nodules. Only a single cholangiocarcinoma was misdiagnosed as category LR-5, with the remainder of the cholangiocarcinomas in the sample appropriately characterized as category LR-M.Keywords: Abdomen/GI, Evidence Based Medicine, Liver, Neoplasms-Primary, Ultrasound-Contrast© RSNA, 2020. 2020 by the Radiological Society of North America, Inc.

Entities:  

Year:  2020        PMID: 33778701      PMCID: PMC7983739          DOI: 10.1148/rycan.2020190014

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  18 in total

1.  Enhancement patterns of focal liver masses: discordance between contrast-enhanced sonography and contrast-enhanced CT and MRI.

Authors:  Stephanie R Wilson; Tae Kyoung Kim; Hyun-Jung Jang; Peter N Burns
Journal:  AJR Am J Roentgenol       Date:  2007-07       Impact factor: 3.959

2.  Resolution of indeterminate MRI with CEUS in patients at high risk for hepatocellular carcinoma.

Authors:  Jinghui Hu; Deepak Bhayana; Kelly W Burak; Stephanie R Wilson
Journal:  Abdom Radiol (NY)       Date:  2020-01

Review 3.  Guidelines and Good Clinical Practice Recommendations for Contrast-Enhanced Ultrasound (CEUS) in the Liver-Update 2020 WFUMB in Cooperation with EFSUMB, AFSUMB, AIUM, and FLAUS.

Authors:  Christoph F Dietrich; Christian Pállson Nolsøe; Richard G Barr; Annalisa Berzigotti; Peter N Burns; Vito Cantisani; Maria Cristina Chammas; Nitin Chaubal; Byung Ihn Choi; Dirk-André Clevert; Xinwu Cui; Yi Dong; Mirko D'Onofrio; J Brian Fowlkes; Odd Helge Gilja; Pintong Huang; Andre Ignee; Christian Jenssen; Yuko Kono; Masatoshi Kudo; Nathalie Lassau; Won Jae Lee; Jae Young Lee; Ping Liang; Adrian Lim; Andrej Lyshchik; Maria Franca Meloni; Jean Michel Correas; Yasunori Minami; Fuminori Moriyasu; Carlos Nicolau; Fabio Piscaglia; Adrian Saftoiu; Paul S Sidhu; Ioan Sporea; Guido Torzilli; Xiaoyan Xie; Rongqin Zheng
Journal:  Ultrasound Med Biol       Date:  2020-07-24       Impact factor: 2.998

4.  Contrast ultrasound LI-RADS LR-5 identifies hepatocellular carcinoma in cirrhosis in a multicenter restropective study of 1,006 nodules.

Authors:  Eleonora Terzi; Massimo Iavarone; Maurizio Pompili; Letizia Veronese; Giuseppe Cabibbo; Mirella Fraquelli; Laura Riccardi; Ludovico De Bonis; Angelo Sangiovanni; Simona Leoni; Maria Assunta Zocco; Sandro Rossi; Nicola Alessi; Stephanie R Wilson; Fabio Piscaglia
Journal:  J Hepatol       Date:  2017-11-11       Impact factor: 25.083

Review 5.  Integration of Contrast-enhanced US into a Multimodality Approach to Imaging of Nodules in a Cirrhotic Liver: How I Do It.

Authors:  Patricia C Jo; Hyun-Jung Jang; Peter N Burns; Kelly W Burak; Tae Kyoung Kim; Stephanie R Wilson
Journal:  Radiology       Date:  2017-02       Impact factor: 11.105

6.  Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases.

Authors:  Jorge A Marrero; Laura M Kulik; Claude B Sirlin; Andrew X Zhu; Richard S Finn; Michael M Abecassis; Lewis R Roberts; Julie K Heimbach
Journal:  Hepatology       Date:  2018-08       Impact factor: 17.425

7.  Interobserver and intermodality agreement of standardized algorithms for non-invasive diagnosis of hepatocellular carcinoma in high-risk patients: CEUS-LI-RADS versus MRI-LI-RADS.

Authors:  Barbara Schellhaas; Matthias Hammon; Deike Strobel; Lukas Pfeifer; Christian Kielisch; Ruediger S Goertz; Alexander Cavallaro; Rolf Janka; Markus F Neurath; Michael Uder; Hannes Seuss
Journal:  Eur Radiol       Date:  2018-04-19       Impact factor: 5.315

8.  LI-RADS Classification and Prognosis of Primary Liver Cancers at Gadoxetic Acid-enhanced MRI.

Authors:  Sang Hyun Choi; Seung Soo Lee; So Hyun Park; Kang Mo Kim; Eunsil Yu; Yangsoon Park; Yong Moon Shin; Moon-Gyu Lee
Journal:  Radiology       Date:  2018-11-13       Impact factor: 11.105

9.  Outcome of small (10-20 mm) arterial phase-enhancing nodules seen on triphasic liver CT in patients with cirrhosis or chronic liver disease.

Authors:  Martin E O'Malley; Yuji Takayama; Morris Sherman
Journal:  Am J Gastroenterol       Date:  2005-07       Impact factor: 10.864

10.  Accuracy of the Liver Imaging Reporting and Data System in Computed Tomography and Magnetic Resonance Image Analysis of Hepatocellular Carcinoma or Overall Malignancy-A Systematic Review.

Authors:  Christian B van der Pol; Christopher S Lim; Claude B Sirlin; Trevor A McGrath; Jean-Paul Salameh; Mustafa R Bashir; An Tang; Amit G Singal; Andreu F Costa; Kathryn Fowler; Matthew D F McInnes
Journal:  Gastroenterology       Date:  2018-11-13       Impact factor: 22.682

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  8 in total

1.  Inter-reader reliability of contrast-enhanced ultrasound Liver Imaging Reporting and Data System: a meta-analysis.

Authors:  Ji Hun Kang; Sang Hyun Choi; Ji Sung Lee; Dong Wook Kim; Jong Keon Jang
Journal:  Abdom Radiol (NY)       Date:  2021-06-22

Review 2.  Tumor in vein (LR-TIV) and liver imaging reporting and data system (LI-RADS) v2018: diagnostic features, pitfalls, prognostic and management implications.

Authors:  Roberta Catania; Kalina Chupetlovska; Amir A Borhani; Ekta Maheshwari; Alessandro Furlan
Journal:  Abdom Radiol (NY)       Date:  2021-09-14

3.  Risk Stratification and Distribution of Hepatocellular Carcinomas in CEUS and CT/MRI LI-RADS: A Meta-Analysis.

Authors:  Yan Zhou; Zhengyi Qin; Jianmin Ding; Lin Zhao; Ying Chen; Fengmei Wang; Xiang Jing
Journal:  Front Oncol       Date:  2022-03-29       Impact factor: 6.244

4.  Contrast-enhanced ultrasound Liver Imaging Reporting and Data System: Lights and shadows in hepatocellular carcinoma and cholangiocellular carcinoma diagnosis.

Authors:  Gianpaolo Vidili; Marco Arru; Giuliana Solinas; Diego Francesco Calvisi; Pierluigi Meloni; Assunta Sauchella; Davide Turilli; Claudio Fabio; Antonio Cossu; Giordano Madeddu; Sergio Babudieri; Maria Assunta Zocco; Giovanni Iannetti; Enza Di Lembo; Alessandro Palmerio Delitala; Roberto Manetti
Journal:  World J Gastroenterol       Date:  2022-07-21       Impact factor: 5.374

5.  Diagnostic accuracy and inter-reader reliability of the MRI Liver Imaging Reporting and Data System (version 2018) risk stratification and management system.

Authors:  Ranjit Singh; Mitchell P Wilson; Florin Manolea; Bilal Ahmed; Christopher Fung; Darryn Receveur; Gavin Low
Journal:  SA J Radiol       Date:  2022-05-19

Review 6.  Imaging diagnosis of hepatocellular carcinoma: Future directions with special emphasis on hepatobiliary magnetic resonance imaging and contrast-enhanced ultrasound.

Authors:  Junghoan Park; Jeong Min Lee; Tae-Hyung Kim; Jeong Hee Yoon
Journal:  Clin Mol Hepatol       Date:  2021-12-27

7.  Contrast-enhanced ultrasound Liver Imaging Reporting and Data System category M: a systematic review and meta-analysis.

Authors:  Jaeseung Shin; Sunyoung Lee; Yeun-Yoon Kim; Yong Eun Chung; Jin-Young Choi; Mi-Suk Park
Journal:  Ultrasonography       Date:  2021-05-19

8.  Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound.

Authors:  Simona Turco; Thodsawit Tiyarattanachai; Kambez Ebrahimkheil; John Eisenbrey; Aya Kamaya; Massimo Mischi; Andrej Lyshchik; Ahmed El Kaffas
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2022-04-27       Impact factor: 3.267

  8 in total

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