Literature DB >> 27743566

Liver Imaging Reporting and Data System: Review of Ancillary Imaging Features.

Irene Cruite1, Cynthia Santillan2, Adrija Mamidipalli2, Amol Shah3, An Tang4, Claude B Sirlin2.   

Abstract

Mesh：

Year:  2016        PMID： 27743566     DOI： 10.1053/j.ro.2016.05.004

Source DB:  PubMed          Journal:  Semin Roentgenol        ISSN： 0037-198X            Impact factor:   0.800


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  5 in total

1.  Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.

Authors:  Clinton J Wang; Charlie A Hamm; Lynn J Savic; Marc Ferrante; Isabel Schobert; Todd Schlachter; MingDe Lin; Jeffrey C Weinreb; James S Duncan; Julius Chapiro; Brian Letzen
Journal:  Eur Radiol       Date:  2019-05-15       Impact factor: 5.315

Review 2.  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 3.  Imaging of hepatocellular carcinoma and image guided therapies - how we do it.

Authors:  Jonathon Willatt; Julie A Ruma; Shadi F Azar; Nara L Dasika; F Syed
Journal:  Cancer Imaging       Date:  2017-03-04       Impact factor: 3.909

Review 4.  CT/MRI LI-RADS v2018 vs. CEUS LI-RADS v2017-Can Things Be Put Together?

Authors:  Cosmin Caraiani; Bianca Boca; Vlad Bura; Zeno Sparchez; Yi Dong; Christoph Dietrich
Journal:  Biology (Basel)       Date:  2021-05-06

5.  How high is the inter-observer reproducibility in the LIRADS reporting system?

Authors:  Sezgin Sevim; Oğuz Dicle; Naciye S Gezer; Mustafa M Barış; Canan Altay; Işıl Başara Akın
Journal:  Pol J Radiol       Date:  2019-11-18
  5 in total

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