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Cited by 319

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Evidence Supporting LI-RADS Major Features for CT- and MR Imaging–based Diagnosis of Hepatocellular Carcinoma: A Systematic Review

Open access
Tang, An, Bashir, Mustafa R., Corwin, Michael T., Cruite, Irene, Dietrich, Christoph F., Do, Richard K. G., Ehman, Eric C., Fowler, Kathryn J., Hussain, Hero K., Jha, Reena C., Karam, Adib R., Mamidipalli, Adrija, Marks, Robert M., Mitchell, Donald G., Morgan, Tara A., Ohliger, Michael A., Shah, Amol, Vu, Kim-Nhien, Sirlin, Claude B., For the LI-RADS Evidence Working Group·2018·Radiology

Abstract

The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative probability of HCC to imaging-detected liver observations based on major and ancillary imaging features. LI-RADS also includes imaging features suggesting malignancy other than HCC. Supported and endorsed by the American College of Radiology (ACR), the system has been developed by a committee of radiologists, hepatologists, pathologists, surgeons, lexicon experts, and ACR staff, with input from the American Association for the Study of Liver Diseases and the Organ Procurement Transplantation Network/United Network for Organ Sharing. Development of LI-RADS has been based on literature review, expert opinion, rounds of testing and iteration, and feedback from users. This article summarizes and assesses the quality of evidence supporting each LI-RADS major feature for diagnosis of HCC, as well as of the LI-RADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS. © RSNA, 2017 Online supplemental material is available for this article.

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Metadata

Authors
Tang, A., Bashir, M. R., Corwin, M. T., Cruite, I., Dietrich, C. F., Do, R. K. G., Ehman, E. C., Fowler, K. J., Hussain, H. K., Jha, R. C., Karam, A. R., Mamidipalli, A., Marks, R. M., Mitchell, D. G., Morgan, T. A., Ohliger, M. A., Shah, A., Vu, K.-N., Sirlin, C. B., & For the LI-RADS Evidence Working Group
Venue
Radiology
Published
2018-01
Volume
286
Issue
1
Pages
29-48
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2769505173
Cited by
319
References
59
FWCI
4.87
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Evidence Supporting LI-RADS Major Features for CT- and MR Imaging–based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. https://app.cochat.ai/papers/10.1148/radiol.2017170554
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Tang, A., Bashir, M. R., Corwin, M. T., Cruite, I., Dietrich, C. F., Do, R. K. G., Ehman, E. C., Fowler, K. J., Hussain, H. K., Jha, R. C., Karam, A. R., Mamidipalli, A., Marks, R. M., Mitchell, D. G., Morgan, T. A., Ohliger, M. A., Shah, A., Vu, K.-N., Sirlin, C. B., & For the LI-RADS Evidence Working Group. (2018). Evidence Supporting LI-RADS Major Features for CT- and MR Imaging–based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. Radiology. https://doi.org/10.1148/radiol.2017170554

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.