Literature DB >> 30155697

White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI.

Khaled M Elsayes1, Ania Z Kielar2, Mohab M Elmohr3, Victoria Chernyak4, William R Masch5, Alessandro Furlan6, Robert M Marks7, Irene Cruite8, Kathryn J Fowler9, An Tang10, Mustafa R Bashir11, Elizabeth M Hecht12, Aya Kamaya13, Kedar Jambhekar14, Amita Kamath15, Sandeep Arora16, Bijan Bijan17, Ryan Ash18, Zahra Kassam19, Humaira Chaudhry20, John P McGahan17, Joseph H Yacoub21, Matthew McInnes22, Alice W Fung23, Krishna Shanbhogue24, James Lee25, Sandeep Deshmukh26, Natally Horvat27, Donald G Mitchell26, Richard K G Do28, Venkateswar R Surabhi29, Janio Szklaruk3, Claude B Sirlin9.   

Abstract

The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of liver imaging with the overarching goal of improving communication, clinical care, education, and research relating to patients at risk for or diagnosed with hepatocellular carcinoma (HCC). In 2018, the American Association for the Study of Liver Diseases (AASLD) integrated LI-RADS into its clinical practice guidance for the imaging-based diagnosis of HCC. The harmonization between the AASLD and LI-RADS diagnostic imaging criteria required minor modifications to the recently released LI-RADS v2017 guidelines, necessitating a LI-RADS v2018 update. This article provides an overview of the key changes included in LI-RADS v2018 as well as a look at the LI-RADS v2018 diagnostic algorithm and criteria, technical recommendations, and management suggestions. Substantive changes in LI-RADS v2018 are the removal of the requirement for visibility on antecedent surveillance ultrasound for LI-RADS 5 (LR-5) categorization of 10-19 mm observations with nonrim arterial phase hyper-enhancement and nonperipheral "washout", and adoption of the Organ Procurement and Transplantation Network definition of threshold growth (≥ 50% size increase of a mass in ≤ 6 months). Nomenclatural changes in LI-RADS v2018 are the removal of -us and -g as LR-5 qualifiers.

Entities:  

Keywords:  CT; HCC; LI-RADS; MRI; v2018

Year:  2018        PMID: 30155697     DOI: 10.1007/s00261-018-1744-4

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  11 in total

1.  LI-RADS Version 2018 Treatment Response Algorithm: The Evidence Is Accumulating.

Authors:  Richard K Do; Mishal Mendiratta-Lala
Journal:  Radiology       Date:  2019-12-17       Impact factor: 11.105

2.  Gadoxetic acid-enhanced MRI for diagnosis of hepatocellular carcinoma in patients with chronic liver disease: can hypointensity on the late portal venous phase be used as an alternative to washout?

Authors:  Kyoung A Baek; Seung Soo Kim; Hyeong Cheol Shin; Jeong Ah Hwang; Seo-Youn Choi; Woong Hee Lee; Chan Ho Park; Hyoung Nam Lee; Nam Hun Heo
Journal:  Abdom Radiol (NY)       Date:  2020-09

3.  Interrater reliability and agreement of the liver imaging reporting and data system (LI-RADS) v2018 for the evaluation of hepatic lesions.

Authors:  Ahmed S Abdelrahman; Sherihan S Madkour; Mena E Y Ekladious
Journal:  Pol J Radiol       Date:  2022-06-13

4.  Training on Reporting and Data System (RADS) for Somatostatin-Receptor Targeted Molecular Imaging Can Reduce the Test Anxiety of Inexperienced Readers.

Authors:  Thorsten Derlin; Rudolf A Werner; Alexander Weich; Takahiro Higuchi; Ralph A Bundschuh; Constantin Lapa; Sebastian E Serfling; Steven P Rowe; Martin G Pomper; Ken Herrmann; Andreas K Buck
Journal:  Mol Imaging Biol       Date:  2022-03-01       Impact factor: 3.484

5.  Diagnostic performance of LI-RADS version 2018 in differentiating hepatocellular carcinoma from other hepatic malignancies in patients with hepatitis B virus infection.

Authors:  Shuo Shao; Yingying Liang; Sichi Kuang; Jingbiao Chen; Qungang Shan; Hao Yang; Yao Zhang; Bin Wang; Kathryn J Fowler; Jin Wang; Claude B Sirlin
Journal:  Bosn J Basic Med Sci       Date:  2020-08-03       Impact factor: 3.363

6.  Intraindividual Comparison between Gadoxetate-Enhanced Magnetic Resonance Imaging and Dynamic Computed Tomography for Characterizing Focal Hepatic Lesions: A Multicenter, Multireader Study.

Authors:  Chansik An; Chang Hee Lee; Jae Ho Byun; Min Hee Lee; Woo Kyoung Jeong; Sang Hyun Choi; Do Young Kim; Young Suk Lim; Young Seok Kim; Ji Hoon Kim; Moon Seok Choi; Myeong Jin Kim
Journal:  Korean J Radiol       Date:  2019-12       Impact factor: 3.500

7.  Balloon occluded TACE (B-TACE) vs DEM-TACE for HCC: a single center retrospective case control study.

Authors:  Pierleone Lucatelli; Gianluca De Rubeis; Bianca Rocco; Fabrizio Basilico; Alessandro Cannavale; Aurelio Abbatecola; Pier Giorgio Nardis; Mario Corona; Stefania Brozetti; Carlo Catalano; Mario Bezzi
Journal:  BMC Gastroenterol       Date:  2021-02-03       Impact factor: 3.067

8.  The value of the apparent diffusion coefficient value in the Liver Imaging Reporting and Data System (LI-RADS) version 2018.

Authors:  Gehad Ahmad Saleh; Ahmed Abdel Khalek Abdel Razek; Lamiaa Galal El-Serougy; Walaa Shabana; Rihame Abd El-Wahab
Journal:  Pol J Radiol       Date:  2022-01-17

9.  Non-invasive diagnostic criteria of hepatocellular carcinoma: Comparison of diagnostic accuracy of updated LI-RADS with clinical practice guidelines of OPTN-UNOS, AASLD, NCCN, EASL-EORTC, and KLSCG-NCC.

Authors:  Burcu Erkan; Jeffrey Meier; Toshimasa J Clark; Jeffrey Kaplan; Jeffrey R Lambert; Samuel Chang
Journal:  PLoS One       Date:  2019-12-10       Impact factor: 3.240

10.  A novel computer-aided diagnostic system for accurate detection and grading of liver tumors.

Authors:  Ahmed Alksas; Mohamed Shehata; Gehad A Saleh; Ahmed Shaffie; Ahmed Soliman; Mohammed Ghazal; Adel Khelifi; Hadil Abu Khalifeh; Ahmed Abdel Razek; Guruprasad A Giridharan; Ayman El-Baz
Journal:  Sci Rep       Date:  2021-06-23       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.