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

Publication ,  Journal Article
Tang, A; Bashir, MR; Corwin, MT; Cruite, I; Dietrich, CF; Do, RKG; Ehman, EC; Fowler, KJ; Hussain, HK; Jha, RC; Karam, AR; Mamidipalli, A ...
Published in: Radiology
January 2018

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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Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

January 2018

Volume

286

Issue

1

Start / End Page

29 / 48

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Liver Neoplasms
  • Liver
  • Image Interpretation, Computer-Assisted
  • Humans
  • Databases, Factual
 

Citation

APA
Chicago
ICMJE
MLA
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Tang, A., Bashir, M. R., Corwin, M. T., Cruite, I., Dietrich, C. F., Do, R. K. G., … 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, 286(1), 29–48. https://doi.org/10.1148/radiol.2017170554
Tang, An, Mustafa R. Bashir, Michael T. Corwin, Irene Cruite, Christoph F. Dietrich, Richard K. G. Do, Eric C. Ehman, et al. “Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review.Radiology 286, no. 1 (January 2018): 29–48. https://doi.org/10.1148/radiol.2017170554.
Tang A, Bashir MR, Corwin MT, Cruite I, Dietrich CF, Do RKG, et al. Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. Radiology. 2018 Jan;286(1):29–48.
Tang, An, et al. “Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review.Radiology, vol. 286, no. 1, Jan. 2018, pp. 29–48. Pubmed, doi:10.1148/radiol.2017170554.
Tang A, Bashir MR, Corwin MT, Cruite I, Dietrich CF, Do RKG, Ehman EC, Fowler KJ, Hussain HK, Jha RC, Karam AR, Mamidipalli A, Marks RM, Mitchell DG, Morgan TA, Ohliger MA, Shah A, Vu K-N, Sirlin CB, LI-RADS Evidence Working Group. Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review. Radiology. 2018 Jan;286(1):29–48.

Published In

Radiology

DOI

EISSN

1527-1315

Publication Date

January 2018

Volume

286

Issue

1

Start / End Page

29 / 48

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Liver Neoplasms
  • Liver
  • Image Interpretation, Computer-Assisted
  • Humans
  • Databases, Factual