LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma: An Update to the American College of Radiology US LI-RADS

Aya Kamaya; David T. Fetzer; James H. Seow; David P. Burrowes; Hailey H. Choi; Adrian A. Dawkins; Christopher Fung; Helena Gabriel; Cheng William Hong; Aman Khurana; Kathryn L. McGillen; Tara A. Morgan; Claude B. Sirlin; Justin R. Tse; Shuchi K. Rodgers

doi:10.1148/radiol.240169

LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma: An Update to the American College of Radiology US LI-RADS

Aya Kamaya, David T. Fetzer, James H. Seow, David P. Burrowes, Hailey H. Choi, Adrian A. Dawkins, Christopher Fung, Helena Gabriel, Cheng William Hong, Aman Khurana, Kathryn L. McGillen, Tara A. Morgan^*, Claude B. Sirlin, Justin R. Tse, Shuchi K. Rodgers

^*Corresponding author for this work

Radiology

Research output: Contribution to journal › Review article › peer-review

1 Scopus citations

Abstract

In 2017, the American College of Radiology introduced the US Liver Imaging Reporting and Data System (LI-RADS) as a framework for US surveillance of patients at risk for developing hepatocellular carcinoma. This has aided in the standardization of technique, clinical reporting, patient management, data collection, and research. Emerging evidence has helped inform changes to the algorithm, now released as LI-RADS US Surveillance version 2024. The updated algorithm, the rationale for changes, and its alignment with the 2023 American Association for the Study of Liver Diseases Practice Guidance are presented.

Original language	English (US)
Article number	e240169
Journal	Radiology
Volume	313
Issue number	3
DOIs	https://doi.org/10.1148/radiol.240169
State	Published - Dec 2024

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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Kamaya, A., Fetzer, D. T., Seow, J. H., Burrowes, D. P., Choi, H. H., Dawkins, A. A., Fung, C., Gabriel, H., Hong, C. W., Khurana, A., McGillen, K. L., Morgan, T. A., Sirlin, C. B., Tse, J. R., & Rodgers, S. K. (2024). LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma: An Update to the American College of Radiology US LI-RADS. Radiology, 313(3), Article e240169. https://doi.org/10.1148/radiol.240169

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title = "LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma: An Update to the American College of Radiology US LI-RADS",

abstract = "In 2017, the American College of Radiology introduced the US Liver Imaging Reporting and Data System (LI-RADS) as a framework for US surveillance of patients at risk for developing hepatocellular carcinoma. This has aided in the standardization of technique, clinical reporting, patient management, data collection, and research. Emerging evidence has helped inform changes to the algorithm, now released as LI-RADS US Surveillance version 2024. The updated algorithm, the rationale for changes, and its alignment with the 2023 American Association for the Study of Liver Diseases Practice Guidance are presented.",

author = "Aya Kamaya and Fetzer, {David T.} and Seow, {James H.} and Burrowes, {David P.} and Choi, {Hailey H.} and Dawkins, {Adrian A.} and Christopher Fung and Helena Gabriel and Hong, {Cheng William} and Aman Khurana and McGillen, {Kathryn L.} and Morgan, {Tara A.} and Sirlin, {Claude B.} and Tse, {Justin R.} and Rodgers, {Shuchi K.}",

note = "Publisher Copyright: {\textcopyright} RSNA, 2024.",

year = "2024",

month = dec,

doi = "10.1148/radiol.240169",

language = "English (US)",

volume = "313",

journal = "Radiology",

issn = "0033-8419",

publisher = "Radiological Society of North America Inc.",

number = "3",

}

Kamaya, A, Fetzer, DT, Seow, JH, Burrowes, DP, Choi, HH, Dawkins, AA, Fung, C, Gabriel, H, Hong, CW, Khurana, A, McGillen, KL, Morgan, TA, Sirlin, CB, Tse, JR & Rodgers, SK 2024, 'LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma: An Update to the American College of Radiology US LI-RADS', Radiology, vol. 313, no. 3, e240169. https://doi.org/10.1148/radiol.240169

TY - JOUR

T1 - LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma

T2 - An Update to the American College of Radiology US LI-RADS

AU - Kamaya, Aya

AU - Fetzer, David T.

AU - Seow, James H.

AU - Burrowes, David P.

AU - Choi, Hailey H.

AU - Dawkins, Adrian A.

AU - Fung, Christopher

AU - Gabriel, Helena

AU - Hong, Cheng William

AU - Khurana, Aman

AU - McGillen, Kathryn L.

AU - Morgan, Tara A.

AU - Sirlin, Claude B.

AU - Tse, Justin R.

AU - Rodgers, Shuchi K.

PY - 2024/12

Y1 - 2024/12

N2 - In 2017, the American College of Radiology introduced the US Liver Imaging Reporting and Data System (LI-RADS) as a framework for US surveillance of patients at risk for developing hepatocellular carcinoma. This has aided in the standardization of technique, clinical reporting, patient management, data collection, and research. Emerging evidence has helped inform changes to the algorithm, now released as LI-RADS US Surveillance version 2024. The updated algorithm, the rationale for changes, and its alignment with the 2023 American Association for the Study of Liver Diseases Practice Guidance are presented.

AB - In 2017, the American College of Radiology introduced the US Liver Imaging Reporting and Data System (LI-RADS) as a framework for US surveillance of patients at risk for developing hepatocellular carcinoma. This has aided in the standardization of technique, clinical reporting, patient management, data collection, and research. Emerging evidence has helped inform changes to the algorithm, now released as LI-RADS US Surveillance version 2024. The updated algorithm, the rationale for changes, and its alignment with the 2023 American Association for the Study of Liver Diseases Practice Guidance are presented.

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DO - 10.1148/radiol.240169

M3 - Review article

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AN - SCOPUS:85211408141

SN - 0033-8419

VL - 313

JO - Radiology

JF - Radiology

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M1 - e240169

ER -

LI-RADS US Surveillance Version 2024 for Surveillance of Hepatocellular Carcinoma: An Update to the American College of Radiology US LI-RADS

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