Literature DB >> 34665430

Using new criteria to improve the differentiation between HCC and non-HCC malignancies: clinical practice and discussion in CEUS LI-RADS 2017.

Dan Zeng1, Ming Xu1, Jin-Yu Liang1, Mei-Qing Cheng1, Hui Huang1, Jia-Ming Pan1, Yang Huang1, Wen-Juan Tong1, Xiao-Yan Xie1, Ming-De Lu1,2, Ming Kuang1,2, Li-Da Chen3, Hang-Tong Hu4, Wei Wang1.   

Abstract

PURPOSE: Using contrast-enhanced ultrasound (CEUS) to evaluate the diagnostic performance of liver imaging reporting and data system (LI-RADS) version 2017 and to explore potential ways to improve the efficacy.
METHODS: A total of 315 nodules were classified as LR-1 to LR-5, LR-M, and LR-TIV. New criteria were applied by adjusting the early washout onset (< 45 s) and the time of marked washout (within 3 min). Two subgroups of the LR-M nodules were recategorized as LR-5, respectively. The diagnostic performance was evaluated by calculating the accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).
RESULTS: By adjusting early washout onset to < 45 s, the LR-5 as a standard for diagnosing HCC had an improved sensitivity (74.1% vs. 56.1%, P < 0.001) without significant change in PPV (93.3% vs. 96.1%, P = 0.267), but the specificity was decreased (48.3% vs. 78.5%, P = 0.018). The LR-M as a standard for the diagnosis of non-HCC malignancies had an increase in specificity (89.2% vs. 66.2%, P < 0.001) but a decrease in sensitivity (31.5% vs. 68.4%, P = 0.023). After reclassification according to the time of marked washout, the sensitivity of the LR-5 increased (80% vs. 56.1%, P < 0.001) without a change in PPV (94.9% vs. 96.1%, P = 0.626) and specificity (80% vs. 78.5%, P = 0.879). For reclassified LR-M nodules, the specificity increased (87.5% versus 66.2%, P < 0.001) with a non-significant decrease in sensitivity (47.3% vs. 68.4%, P = 0.189).
CONCLUSIONS: The CEUS LI-RADS showed good confidence in diagnosing HCC while tended to misdiagnose HCC as non-HCC malignancies. Adjusting the marked washout time within 3 min would reduce the possibility of this misdiagnosis.
© 2021. Italian Society of Medical Radiology.

Entities:  

Keywords:  Contrast-enhanced ultrasound; Focal liver lesions; Liver imaging reporting and data system version 2017

Mesh:

Substances:

Year:  2021        PMID: 34665430     DOI: 10.1007/s11547-021-01417-w

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  7 in total

1.  Evaluation of Contrast-enhanced US LI-RADS version 2017: Application on 2020 Liver Nodules in Patients with Hepatitis B Infection.

Authors:  Wei Zheng; Qing Li; Xue-Bin Zou; Jian-Wei Wang; Feng Han; Fei Li; Li-Shu Huang; An-Hua Li; Jian-Hua Zhou
Journal:  Radiology       Date:  2019-11-26       Impact factor: 11.105

2.  Distinguishing intrahepatic cholangiocarcinoma from hepatocellular carcinoma in patients with and without risks: the evaluation of the LR-M criteria of contrast-enhanced ultrasound liver imaging reporting and data system version 2017.

Authors:  Fei Li; Qing Li; Yubo Liu; Jing Han; Wei Zheng; Yini Huang; Xueyi Zheng; Longhui Cao; Jian-Hua Zhou
Journal:  Eur Radiol       Date:  2019-07-11       Impact factor: 5.315

3.  Contrast Enhanced Ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS®): the official version by the American College of Radiology (ACR).

Authors:  Yuko Kono; Andrej Lyshchik; David Cosgrove; Christoph F Dietrich; Hyun-Jung Jang; Tae Kyoung Kim; Fabio Piscaglia; Juergen K Willmann; Stephanie R Wilson; Cynthia Santillan; Avinash Kambadakone; Donald Mitchell; Alexander Vezeridis; Claude B Sirlin
Journal:  Ultraschall Med       Date:  2017-03-01       Impact factor: 6.548

4.  Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS.

Authors:  Li-Da Chen; Si-Min Ruan; Yuan Lin; Jin-Yu Liang; Shun-Li Shen; Hang-Tong Hu; Yang Huang; Wei Li; Zhu Wang; Xiao-Yan Xie; Ming-De Lu; Ming Kuang; Wei Wang
Journal:  Eur Radiol       Date:  2018-12-19       Impact factor: 5.315

5.  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

6.  Diagnosis of liver nodules observed in chronic liver disease patients during ultrasound screening for early detection of hepatocellular carcinoma.

Authors:  Eugenio Caturelli; Francesca Bartolucci; Elisabetta Biasini; Maria Luigia Vigliotti; Angelo Andriulli; Domenico Angelo Siena; Vito Attino; Michele Bisceglia
Journal:  Am J Gastroenterol       Date:  2002-02       Impact factor: 10.864

7.  The preliminary application of liver imaging reporting and data system (LI-RADS) with contrast-enhanced ultrasound (CEUS) on small hepatic nodules (≤ 2cm).

Authors:  Wenwu Ling; Manni Wang; Xuelei Ma; Tingting Qiu; Jiawu Li; Qiang Lu; Yan Luo
Journal:  J Cancer       Date:  2018-07-30       Impact factor: 4.207

  7 in total
  6 in total

Review 1.  Morphological, dynamic and functional characteristics of liver pseudolesions and benign lesions.

Authors:  Matteo Renzulli; Nicolò Brandi; Giulia Argalia; Stefano Brocchi; Andrea Farolfi; Stefano Fanti; Rita Golfieri
Journal:  Radiol Med       Date:  2022-01-13       Impact factor: 3.469

Review 2.  Contrast-enhanced ultrasound for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease.

Authors:  Mirella Fraquelli; Tin Nadarevic; Agostino Colli; Cristina Manzotti; Vanja Giljaca; Damir Miletic; Davor Štimac; Giovanni Casazza
Journal:  Cochrane Database Syst Rev       Date:  2022-09-02

3.  Conventional, functional and radiomics assessment for intrahepatic cholangiocarcinoma.

Authors:  Vincenza Granata; Roberta Fusco; Andrea Belli; Valentina Borzillo; Pierpaolo Palumbo; Federico Bruno; Roberta Grassi; Alessandro Ottaiano; Guglielmo Nasti; Vincenzo Pilone; Antonella Petrillo; Francesco Izzo
Journal:  Infect Agent Cancer       Date:  2022-03-28       Impact factor: 2.965

4.  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

Review 5.  Combined Hepatocellular-Cholangiocarcinoma: What the Multidisciplinary Team Should Know.

Authors:  Carmen Cutolo; Federica Dell'Aversana; Roberta Fusco; Giulia Grazzini; Giuditta Chiti; Igino Simonetti; Federico Bruno; Pierpaolo Palumbo; Luca Pierpaoli; Tommaso Valeri; Francesco Izzo; Andrea Giovagnoni; Roberto Grassi; Vittorio Miele; Antonio Barile; Vincenza Granata
Journal:  Diagnostics (Basel)       Date:  2022-04-02

6.  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

  6 in total

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