Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: A systematic review

An Tang, Mustafa R. Bashir, Michael T. Corwin, Irene Cruite, Christoph F. Dietrich, Richard K.G. Do, Eric Ehman, Kathryn J. Fowler, Hero K. Hussain, Reena C. Jha, Adib R. Karam, Adrija Mamidipalli, Robert M. Marks, Donald G. Mitchell, Tara A. Morgan, Michael A. Ohliger, Amol Shah, Kim Nhien Vu, Claude B. Sirlin

Research output: Contribution to journalReview article

62 Citations (Scopus)

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 LIRADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS.

Original languageEnglish (US)
Pages (from-to)29-48
Number of pages20
JournalRadiology
Volume286
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

Information Systems
Hepatocellular Carcinoma
Liver
Radiology
Tissue and Organ Procurement
Expert Testimony
Organ Transplantation
Neoplasms

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Tang, A., Bashir, M. R., Corwin, M. T., Cruite, I., Dietrich, C. F., Do, R. K. G., ... Sirlin, C. B. (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

Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma : A systematic review. / Tang, An; Bashir, Mustafa R.; Corwin, Michael T.; Cruite, Irene; Dietrich, Christoph F.; Do, Richard K.G.; Ehman, Eric; 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.

In: Radiology, Vol. 286, No. 1, 01.01.2018, p. 29-48.

Research output: Contribution to journalReview article

Tang, A, Bashir, MR, Corwin, MT, Cruite, I, Dietrich, CF, Do, RKG, Ehman, E, Fowler, KJ, Hussain, HK, Jha, RC, Karam, AR, Mamidipalli, A, Marks, RM, Mitchell, DG, Morgan, TA, Ohliger, MA, Shah, A, Vu, KN & Sirlin, CB 2018, 'Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: A systematic review', Radiology, vol. 286, no. 1, pp. 29-48. https://doi.org/10.1148/radiol.2017170554
Tang, An ; Bashir, Mustafa R. ; Corwin, Michael T. ; Cruite, Irene ; Dietrich, Christoph F. ; Do, Richard K.G. ; Ehman, Eric ; 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. / Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma : A systematic review. In: Radiology. 2018 ; Vol. 286, No. 1. pp. 29-48.
@article{ff8a7f50f86045cfbd5dd7f0d542e00a,
title = "Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: A systematic review",
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 LIRADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS.",
author = "An Tang and Bashir, {Mustafa R.} and Corwin, {Michael T.} and Irene Cruite and Dietrich, {Christoph F.} and Do, {Richard K.G.} and Eric Ehman and Fowler, {Kathryn J.} and Hussain, {Hero K.} and Jha, {Reena C.} and Karam, {Adib R.} and Adrija Mamidipalli and Marks, {Robert M.} and Mitchell, {Donald G.} and Morgan, {Tara A.} and Ohliger, {Michael A.} and Amol Shah and Vu, {Kim Nhien} and Sirlin, {Claude B.}",
year = "2018",
month = "1",
day = "1",
doi = "10.1148/radiol.2017170554",
language = "English (US)",
volume = "286",
pages = "29--48",
journal = "Radiology",
issn = "0033-8419",
publisher = "Radiological Society of North America Inc.",
number = "1",

}

TY - JOUR

T1 - Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma

T2 - A systematic review

AU - Tang, An

AU - Bashir, Mustafa R.

AU - Corwin, Michael T.

AU - Cruite, Irene

AU - Dietrich, Christoph F.

AU - Do, Richard K.G.

AU - Ehman, Eric

AU - Fowler, Kathryn J.

AU - Hussain, Hero K.

AU - Jha, Reena C.

AU - Karam, Adib R.

AU - Mamidipalli, Adrija

AU - Marks, Robert M.

AU - Mitchell, Donald G.

AU - Morgan, Tara A.

AU - Ohliger, Michael A.

AU - Shah, Amol

AU - Vu, Kim Nhien

AU - Sirlin, Claude B.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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 LIRADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS.

AB - 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 LIRADS imaging features suggesting malignancy other than HCC. Based on the evidence, recommendations are provided for or against their continued inclusion in LI-RADS.

UR - http://www.scopus.com/inward/record.url?scp=85038927622&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85038927622&partnerID=8YFLogxK

U2 - 10.1148/radiol.2017170554

DO - 10.1148/radiol.2017170554

M3 - Review article

C2 - 29166245

AN - SCOPUS:85038927622

VL - 286

SP - 29

EP - 48

JO - Radiology

JF - Radiology

SN - 0033-8419

IS - 1

ER -