Literature DB >> 28647768

LI-RADS® ancillary features on CT and MRI.

Victoria Chernyak1, An Tang2, Milana Flusberg3, Demetri Papadatos4, Bijan Bijan5, Yuko Kono6, Cynthia Santillan7.   

Abstract

The Liver Imaging Reporting and Data System (LI-RADS) uses an algorithm to assign categories that reflect the probability of hepatocellular carcinoma (HCC), non-HCC malignancy, or benignity. Unlike other imaging algorithms, LI-RADS utilizes ancillary features (AFs) to refine the final category. AFs in LI-RADS v2017 are divided into those favoring malignancy in general, those favoring HCC specifically, and those favoring benignity. Additionally, LI-RADS v2017 provides new rules regarding application of AFs. The purpose of this review is to discuss ancillary features included in LI-RADS v2017, the rationale for their use, potential pitfalls encountered in their interpretation, and tips on their application.

Entities:  

Keywords:  Ancillary features; Benignity; Hepatocellular carcinoma; Imaging features; Malignancy; Review article

Mesh：

Substances：

Year:  2018        PMID： 28647768     DOI： 10.1007/s00261-017-1220-6

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  9 in total

Review 1.  LI-RADS 2017: An update.

Authors:  Ania Z Kielar; Victoria Chernyak; Mustafa R Bashir; Richard K Do; Kathryn J Fowler; Donald G Mitchell; Milena Cerny; Khaled M Elsayes; Cynthia Santillan; Aya Kamaya; Yuko Kono; Claude B Sirlin; An Tang
Journal:  J Magn Reson Imaging       Date:  2018-04-06       Impact factor: 4.813

2.  Characterization of liver nodules in patients with chronic liver disease by MRI: performance of the Liver Imaging Reporting and Data System (LI-RADS v.2018) scale and its comparison with the Likert scale.

Authors:  Andrea Esposito; Valentina Buscarino; Dario Raciti; Elena Casiraghi; Matteo Manini; Pietro Biondetti; Laura Forzenigo
Journal:  Radiol Med       Date:  2019-10-05       Impact factor: 3.469

Review 3.  Hepatocellular Carcinoma in Mexico.

Authors:  Laura Esthela Cisneros Garza; Ignacio Aiza Haddad
Journal:  Clin Liver Dis (Hoboken)       Date:  2022-03-10

Review 4.  Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients.

Authors:  Victoria Chernyak; Kathryn J Fowler; Aya Kamaya; Ania Z Kielar; Khaled M Elsayes; Mustafa R Bashir; Yuko Kono; Richard K Do; Donald G Mitchell; Amit G Singal; An Tang; Claude B Sirlin
Journal:  Radiology       Date:  2018-09-25       Impact factor: 11.105

Review 5.  CT-MRI LI-RADS v2017: A Comprehensive Guide for Beginners.

Authors:  Francesca Patella; Filippo Pesapane; Enrico Maria Fumarola; Ilaria Emili; Riccardo Spairani; Salvatore Alessio Angileri; Silvia Tresoldi; Giuseppe Franceschelli; Gianpaolo Carrafiello
Journal:  J Clin Transl Hepatol       Date:  2018-02-22

Review 6.  Macrotrabecular-Massive Hepatocellular Carcinoma: Light and Shadow in Current Knowledge.

Authors:  Anna Sessa; Sébastien Mulé; Raffaele Brustia; Hélène Regnault; Athena Galletto Pregliasco; Rami Rhaiem; Vincent Leroy; Daniele Sommacale; Alain Luciani; Julien Calderaro; Giuliana Amaddeo
Journal:  J Hepatocell Carcinoma       Date:  2022-07-27

7.  Hepatobiliary phases in magnetic resonance imaging using liver-specific contrast for focal lesions in clinical practice.

Authors:  Daniel Alvarenga Fernandes; Eduardo Andreazza Dal Lago; Felipe Aguera Oliver; Bruna Melo Coelho Loureiro; Daniel Lahan Martins; Thiago José Penachim; Ricardo Hoelz de Oliveira Barros; José de Arimatéia Batista Araújo Filho; Larissa Bastos Eloy da Costa; Áurea Maria Oliveira da Silva; Elaine Cristina de Ataíde; Ilka de Fátima Santana Ferreira Boin; Nelson Marcio Gomes Caserta
Journal:  World J Hepatol       Date:  2022-07-27

8.  Preoperative prediction of glypican-3 positive expression in solitary hepatocellular carcinoma on gadoxetate-disodium enhanced magnetic resonance imaging.

Authors:  Yidi Chen; Yun Qin; Yuanan Wu; Hong Wei; Yi Wei; Zhen Zhang; Ting Duan; Hanyu Jiang; Bin Song
Journal:  Front Immunol       Date:  2022-08-25       Impact factor: 8.786

9.  Material decomposition using iodine quantification on spectral CT for characterising nodules in the cirrhotic liver: a retrospective study.

Authors:  Shalini Thapar Laroia; Komal Yadav; Senthil Kumar; Archana Rastogi; Guresh Kumar; Shiv Kumar Sarin
Journal:  Eur Radiol Exp       Date:  2021-05-28
  9 in total

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