LI-RADS major features: CT, MRI with extracellular agents, and MRI with hepatobiliary agents

被引:49
|
作者
Santillan, Cynthia [1 ]
Fowler, Kathryn [2 ]
Kono, Yuko [3 ]
Chernyak, Victoria [4 ]
机构
[1] Univ Calif San Diego, Dept Radiol, Liver Imaging Grp, San Diego, CA 92103 USA
[2] Washington Univ, Mallinckrodt Inst Radiol, St Louis, MO USA
[3] Univ Calif San Diego, Dept Radiol, Dept Med, San Diego, CA 92103 USA
[4] Montefiore Med Ctr, Dept Radiol, 111 E 210th St, Bronx, NY 10467 USA
关键词
Hepatocellular carcinoma; Liver; MRI; CT; LI-RADS; CONTRAST-ENHANCED CT; HEPATOCELLULAR-CARCINOMA; INTRAHEPATIC CHOLANGIOCARCINOMA; COMPUTED-TOMOGRAPHY; HEPATIC NODULES; GROWTH-RATE; DIAGNOSIS; CIRRHOSIS; PATTERNS; LIVER;
D O I
10.1007/s00261-017-1291-4
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The Liver Imaging Reporting and Data System (LI-RADS) was designed to standardize the interpretation and reporting of observations seen on studies performed in patients at risk for development of hepatocellular carcinoma (HCC). The LI-RADS algorithm guides radiologists through the process of categorizing observations on a spectrum from definitely benign to definitely HCC. Major features are the imaging features used to categorize observations as LI-RADS 3 (intermediate probability of malignancy), LIRADS 4 (probably HCC), and LI-RADS 5 (definite HCC). Major features include arterial phase hyperenhancement, washout appearance, enhancing capsule appearance, size, and threshold growth. Observations that have few major criteria are assigned lower categories than those that have several, with the goal of preserving high specificity for the LR-5 category of Definite HCC. The goal of this paper is to discuss LI-RADS major features, including definitions, rationale for selection as major features, and imaging examples.
引用
收藏
页码:75 / 81
页数:7
相关论文
共 50 条
  • [21] LI-RADS Major Features on MRI for Diagnosing Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis
    Shin, Jaeseung
    Lee, Sunyoung
    Yoon, Ja Kyung
    Chung, Yong Eun
    Choi, Jin-Young
    Park, Mi-Suk
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2021, 54 (02) : 518 - 525
  • [22] CEUS LI-RADS: algorithm, implementation, and key differences from CT/MRI
    Stephanie R. Wilson
    Andrej Lyshchik
    Fabio Piscaglia
    David Cosgrove
    Hyun-Jung Jang
    Claude Sirlin
    Christoph F. Dietrich
    Tae Kyoung Kim
    Juergen K. Willmann
    Yuko Kono
    Abdominal Radiology, 2018, 43 : 127 - 142
  • [23] Rate of observation and inter-observer agreement for LI-RADS major features at CT and MRI in 184 pathology proven hepatocellular carcinomas
    Ehman, Eric C.
    Behr, Spencer C.
    Umetsu, Sarah E.
    Fidelman, Nicholas
    Yeh, Ben M.
    Ferrell, Linda D.
    Hope, Thomas A.
    ABDOMINAL RADIOLOGY, 2016, 41 (05) : 963 - 969
  • [24] 静脉内LI-RADS肿瘤的CT和肝胆MRI
    J.S.Bae
    J.M.Lee
    S.K.Jeon
    J.Yoo
    S.J.Park
    J.H.Yoon
    严莹
    国际医学放射学杂志, 2022, 45 (02) : 229 - 230
  • [25] CT versus MRI in Treatment Response Assessment with LI-RADS: The Choice Is Unclear
    Bashir, Mustafa R.
    Mendiratta-Lala, Mishal
    RADIOLOGY, 2021, 299 (02) : 346 - 348
  • [26] Rate of observation and inter-observer agreement for LI-RADS major features at CT and MRI in 184 pathology proven hepatocellular carcinomas
    Eric C. Ehman
    Spencer C. Behr
    Sarah E. Umetsu
    Nicholas Fidelman
    Ben M. Yeh
    Linda D. Ferrell
    Thomas A. Hope
    Abdominal Radiology, 2016, 41 : 963 - 969
  • [27] A Multicenter Assessment of Interreader Reliability of LI-RADS Version 2018 for MRI and CT
    Hong, Cheng William
    Chernyak, Victoria
    Choi, Jin-Young
    Lee, Sonia
    Potu, Chetan
    Delgado, Timoteo
    Wolfson, Tanya
    Gamst, Anthony
    Birnbaum, Jason
    Kampalath, Rony
    Lall, Chandana
    Lee, James T.
    Owen, Joseph W.
    Aguirre, Diego A.
    Mendiratta-Lala, Mishal
    Davenport, Matthew S.
    Masch, William
    Roudenko, Alexandra
    Lewis, Sara C.
    Kierans, Andrea Siobhan
    Hecht, Elizabeth M.
    Bashir, Mustafa R.
    Brancatelli, Giuseppe
    Douek, Michael L.
    Ohliger, Michael A.
    Tang, An
    Cerny, Milena
    Fung, Alice
    Costa, Eduardo A.
    Corwin, Michael T.
    McGahan, John P.
    Kalb, Bobby
    Elsayes, Khaled M.
    Surabhi, Venkateswar R.
    Blair, Katherine
    Marks, Robert M.
    Horvat, Natally
    Best, Shaun
    Ash, Ryan
    Ganesan, Karthik
    Kagay, Christopher R.
    Kambadakone, Avinash
    Wang, Jin
    Cruite, Irene
    Bijan, Bijan
    Goodwin, Mark
    Cunha, Guilherme Moura
    Tamayo-Murillo, Dorathy
    Fowler, Kathryn J.
    Sirlin, Claude B.
    RADIOLOGY, 2023, 307 (05)
  • [28] CEUS LI-RADS: algorithm, implementation, and key differences from CT/MRI
    Wilson, Stephanie R.
    Lyshchik, Andrej
    Piscaglia, Fabio
    Cosgrove, David
    Jang, Hyun-Jung
    Sirlin, Claude
    Dietrich, Christoph F.
    Kim, Tae Kyoung
    Willmann, Juergen K.
    Kono, Yuko
    ABDOMINAL RADIOLOGY, 2018, 43 (01) : 127 - 142
  • [29] LI-RADS technical requirements for CT, MRI, and contrast-enhanced ultrasound
    Avinash R. Kambadakone
    Alice Fung
    Rajan T. Gupta
    Thomas A. Hope
    Kathryn J. Fowler
    Andrej Lyshchik
    Karthik Ganesan
    Vahid Yaghmai
    Alexander R. Guimaraes
    Dushyant V. Sahani
    Frank H. Miller
    Abdominal Radiology, 2018, 43 : 56 - 74
  • [30] Up-to-Date Role of CT/MRI LI-RADS in Hepatocellular Carcinoma
    Cunha, Guilherme Moura
    Chernyak, Victoria
    Fowler, Kathryn J.
    Sirlin, Claude B.
    JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 8 : 513 - 527