Skip to main content
Log in

Differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma and combined hepatocellular-cholangiocarcinoma in high-risk patients matched to MR field strength: diagnostic performance of LI-RADS version 2018

  • Hepatobiliary
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To eliminate the effects of field strength in determining the diagnostic performance of the LI-RADS version 2018 (LI-RADS v2018) in differentiating hepatocellular carcinoma (HCC) from non-HCC primary liver malignancy in high-risk patients.

Methods

Patients who were pathologically confirmed intrahepatic cholangiocarcinoma (iCCA) or combined hepatocellular-cholangiocarcinoma (cHCC-CCA) were retrospectively reviewed. Patients with HCC were matched to the iCCA or cHCC-CCA patients on age, tumor size, MR scanner, and number of tumors. Two readers independently evaluated the lesions according to LI-RADS v2018. Diagnostic performance of LI-RADS v2018 in differentiating HCC from non-HCC primary liver malignancy were analyzed.

Results

A total of 198 patients with 204 lesions (102 HCCs, 78 iCCAs, and 24 cHCC-CCAs) were enrolled. The sensitivity and specificity of LR-5 or LR-TIV (definitely due to HCC) in diagnosing HCC were 68.63% and 85.29%, respectively. LR-M or LR-TIV (may be due to non-HCC malignancy) had a sensitivity of 72.55% and a specificity of 86.27% in diagnosing non-HCC malignancy. The sensitivity of LR-M or LR-TIV (may be due to non-HCC malignancy) for iCCA and cHCC-CCA was 82.05% and 41.67%, respectively. Nearly half (11/24, 45.83%) of cHCC-CCAs were categorized as LR-5. Three tesla MR showed higher sensitivity than 1.5 T in diagnosing HCC (80.00% vs 57.69%, P = 0.015).

Conclusion

When the effect of field strength was eliminated, LI-RADS v2018 demonstrated high specificity but suboptimal sensitivity in distinguishing HCC from non-HCC primary liver carcinomas. Most iCCAs were categorized as LR-M or LR-TIV (may be due to non-HCC malignancy). However, nearly half of cHCC-CCAs were assigned as LR-5.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

HCC:

Hepatocellular carcinoma

iCCA:

Intrahepatic cholangiocarcinoma

cHCC-CCA:

Combined hepatocellular-cholangiocarcinoma

LI-RADS:

Liver imaging reporting and data system

APHE:

Arterial phase hyperenhancement

LR-4:

Probably HCC

LR-5:

Definitely HCC

LR-M:

Probably or definitely malignant, not HCC specific

LR-TIV:

Malignancy with tumor in vein

AASLD:

American Association for the Study of Liver Disease

References

  1. Bridgewater J, Galle PR, Khan SA, et al (2014) Guidelines for the diagnosis and management of intrahepatic cholangiocarcinoma. J Hepatol 60(6):1268-1289. https://doi.org/10.1016/j.jhep.2014.01.021

    Article  PubMed  Google Scholar 

  2. Massarweh NN, El-Serag HB (2017) Epidemiology of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma. Cancer Control 24(3):107327481772924. https://doi.org/10.1177/1073274817729245

    Article  Google Scholar 

  3. Sirica AE, Gores GJ, Groopman JD, et al (2019) Intrahepatic Cholangiocarcinoma: Continuing Challenges and Translational Advances. Hepatology 69(4):1803-1815. https://doi.org/10.1002/hep.30289

    Article  PubMed  Google Scholar 

  4. Lee HS, Kim M, An C (2019) How to utilize LR-M features of the LI-RADS to improve the diagnosis of combined hepatocellular-cholangiocarcinoma on gadoxetate-enhanced MRI? Eur Radiol 29(5):2408-2416. https://doi.org/10.1007/s00330-018-5893-1

    Article  PubMed  Google Scholar 

  5. Fraum TJ, Tsai R, Rohe E, et al (2018) Differentiation of Hepatocellular Carcinoma from Other Hepatic Malignancies in Patients at Risk: Diagnostic Performance of the Liver Imaging Reporting and Data System Version 2014. Radiology 286(1):158-172. https://doi.org/10.1148/radiol.2017170114

    Article  PubMed  Google Scholar 

  6. Kim YY, Kim MJ, Kim EH, Roh YH, An C (2019) Hepatocellular Carcinoma versus Other Hepatic Malignancy in Cirrhosis: Performance of LI-RADS Version 2018. Radiology 291(1):72-80. https://doi.org/10.1148/radiol.2019181995

    Article  PubMed  Google Scholar 

  7. Joo I, Lee JM, Lee SM, Lee JS, Park JY, Han JK (2016) Diagnostic accuracy of liver imaging reporting and data system (LI-RADS) v2014 for intrahepatic mass-forming cholangiocarcinomas in patients with chronic liver disease on gadoxetic acid-enhanced MRI. J Magn Reson Imaging 44(5):1330-1338. https://doi.org/10.1002/jmri.25287

    Article  PubMed  Google Scholar 

  8. Ludwig DR, Fraum TJ, Cannella R, et al (2019) Hepatocellular carcinoma (HCC) versus non-HCC: accuracy and reliability of Liver Imaging Reporting and Data System v2018. Abdom Radiol (NY) 44(6):2116-2132. https://doi.org/10.1007/s00261-019-01948-x

    Article  Google Scholar 

  9. Kim YY, An C, Kim S, Kim MJ (2018) Diagnostic accuracy of prospective application of the Liver Imaging Reporting and Data System (LI-RADS) in gadoxetate-enhanced MRI. Eur Radiol 28(5):2038-2046. https://doi.org/10.1007/s00330-017-5188-y

    Article  PubMed  Google Scholar 

  10. Shao S, Liang Y, Kuang S, et al (2020) Diagnostic performance of LI-RADS version 2018 in differentiating hepatocellular carcinoma from other hepatic malignancies in patients with hepatitis B virus infection. Bosn J Basic Med Sci 20(3):401–410. https://doi.org/https://doi.org/10.17305/bjbms.2019.4576

  11. American College of Radiology. CT/MR Liver Imaging Reporting and Data System version 2018. https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS/CT-MRI-LI-RADS-v2018. Accessed 25 September 2018

  12. Lee SM, Lee JM, Ahn SJ, Kang HJ, Yang HK, Yoon JH (2019) LI-RADS Version 2017 versus Version 2018: Diagnosis of Hepatocellular Carcinoma on Gadoxetate Disodium-enhanced MRI. Radiology 292(3):655-663. https://doi.org/10.1148/radiol.2019182867

    Article  PubMed  Google Scholar 

  13. Ren AH, Zhao PF, Yang DW, Du JB, Wang ZC, Yang ZH (2019) Diagnostic performance of MR for hepatocellular carcinoma based on LI-RADS v2018, compared with v2017. J Magn Reson Imaging 50(3):746-755. https://doi.org/10.1002/jmri.26640

    Article  PubMed  Google Scholar 

  14. Kim MY, Joo I, Kang HJ, Bae JS, Jeon SK, Lee JM (2020) LI-RADS M (LR-M) criteria and reporting algorithm of v2018: diagnostic values in the assessment of primary liver cancers on gadoxetic acid-enhanced MRI. Abdom Radiol (NY) 45(8):2440-2448. https://doi.org/10.1007/s00261-020-02545-z

    Article  Google Scholar 

  15. Kim SS, Lee S, Choi JY, Lim JS, Park MS, Kim MJ (2020) Diagnostic performance of the LR-M criteria and spectrum of LI-RADS imaging features among primary hepatic carcinomas. Abdom Radiol (NY). https://doi.org/10.1007/s00261-020-02562-y

    Article  Google Scholar 

  16. Kim DH, Choi SH, Park SH, et al (2020) Liver imaging reporting and data system category M: A systematic review and meta-analysis. Liver Int 40(6):1477-1487. https://doi.org/10.1111/liv.14420

    Article  PubMed  Google Scholar 

  17. Boll DT, Merkle EM (2010) Imaging at higher magnetic fields: 3 T versus 1.5 T. Magn Reson Imaging Clin N Am 18(3):549–64, xi-xii. https://doi.org/10.1016/j.mric.2010.08.008

  18. Soher BJ, Dale BM, Merkle EM (2007) A Review of MR Physics: 3T versus 1.5T. Magn Reson Imaging C 15(3):277–290. https://doi.org/10.1016/j.mric.2007.06.002

  19. Elsayes KM, Kielar AZ, Elmohr MM, et al (2018) White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI. Abdom Radiol 43(10):2625-2642. https://doi.org/10.1007/s00261-018-1744-4

    Article  Google Scholar 

  20. Kim DH, Choi SH, Park SH, et al (2019) Meta-analysis of the accuracy of Liver Imaging Reporting and Data System category 4 or 5 for diagnosing hepatocellular carcinoma. Gut 68(9):1719-1721. https://doi.org/10.1136/gutjnl-2019-318555

    Article  PubMed  Google Scholar 

  21. Kim TH, Kim SY, Tang A, Lee JM (2019) Comparison of international guidelines for noninvasive diagnosis of hepatocellular carcinoma: 2018 update. Clin Mol Hepatol 25(3):245-263. https://doi.org/10.3350/cmh.2018.0090

    Article  PubMed  PubMed Central  Google Scholar 

  22. Wengert GJ, Baltzer P, Bickel H, et al (2017) Differentiation of Intrahepatic Cholangiocellular Carcinoma from Hepatocellular Carcinoma in the Cirrhotic Liver Using Contrast-enhanced MR Imaging. Acad Radiol 24(12):1491-1500. https://doi.org/10.1016/j.acra.2017.06.005

    Article  PubMed  Google Scholar 

  23. Potretzke TA, Tan BR, Doyle MB, Brunt EM, Heiken JP, Fowler KJ (2016) Imaging Features of Biphenotypic Primary Liver Carcinoma (Hepatocholangiocarcinoma) and the Potential to Mimic Hepatocellular Carcinoma: LI-RADS Analysis of CT and MRI Features in 61 Cases. AJR Am J Roentgenol 207(1):25-31. https://doi.org/10.2214/AJR.15.14997

    Article  PubMed  Google Scholar 

  24. Fowler KJ, Sheybani A, Parker RAI, et al (2013) Combined Hepatocellular and Cholangiocarcinoma (Biphenotypic) Tumors: Imaging Features and Diagnostic Accuracy of Contrast-Enhanced CT and MRI. Am J Roentgenol 201(2):332-339. https://doi.org/10.2214/AJR.12.9488

    Article  Google Scholar 

  25. Wang Y, Yang Q, Li S, Luo R, Mao S, Shen J (2019) Imaging features of combined hepatocellular and cholangiocarcinoma compared with those of hepatocellular carcinoma and intrahepatic cholangiocellular carcinoma in a Chinese population. Clin Radiol 74(5):407.e1-407.e10. https://doi.org/10.1016/j.crad.2019.01.016

    Article  CAS  Google Scholar 

  26. Choi SH, Lee SS, Park SH, et al (2019) LI-RADS Classification and Prognosis of Primary Liver Cancers at Gadoxetic Acid-enhanced MRI. Radiology 290(2):388-397. https://doi.org/10.1148/radiol.2018181290

    Article  PubMed  Google Scholar 

  27. Jeon SK, Joo I, Lee DH, et al (2019) Combined hepatocellular cholangiocarcinoma: LI-RADS v2017 categorisation for differential diagnosis and prognostication on gadoxetic acid-enhanced MR imaging. Eur Radiol 29(1):373-382. https://doi.org/10.1007/s00330-018-5605-x

    Article  PubMed  Google Scholar 

  28. Xu J, Igarashi S, Sasaki M, et al (2012) Intrahepatic cholangiocarcinomas in cirrhosis are hypervascular in comparison with those in normal livers. Liver Int 32(7):1156-64. https://doi.org/10.1111/j.1478-3231.2012.02783.x

    Article  PubMed  Google Scholar 

  29. Choi SH, Lee SS, Kim SY, et al (2017) Intrahepatic Cholangiocarcinoma in Patients with Cirrhosis: Differentiation from Hepatocellular Carcinoma by Using Gadoxetic Acid-enhanced MR Imaging and Dynamic CT. Radiology 282(3):771-781. https://doi.org/10.1148/radiol.2016160639

    Article  PubMed  Google Scholar 

  30. Kim JH, Joo I, Lee JM (2019) Atypical Appearance of Hepatocellular Carcinoma and Its Mimickers: How to Solve Challenging Cases Using Gadoxetic Acid-Enhanced Liver Magnetic Resonance Imaging. Korean J Radiol 20(7):1019-1041. https://doi.org/10.3348/kjr.2018.0636

    Article  PubMed  PubMed Central  Google Scholar 

  31. Fowler KJ, Potretzke TA, Hope TA, Costa EA, Wilson SR (2018) LI-RADS M (LR-M): definite or probable malignancy, not specific for hepatocellular carcinoma. Abdom Radiol 43(1):149-157. https://doi.org/10.1007/s00261-017-1196-2

    Article  Google Scholar 

  32. Ciresa M, De Gaetano AM, Pompili M, et al (2015) Enhancement patterns of intrahepatic mass-forming cholangiocarcinoma at multiphasic computed tomography and magnetic resonance imaging and correlation with clinicopathologic features. Eur Rev Med Pharmacol Sci 19(15):2786-97

    CAS  PubMed  Google Scholar 

  33. Marrero JA, Kulik LM, Sirlin CB, et al (2018) Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases. Hepatology 68(2):723-750. https://doi.org/10.1002/hep.29913

    Article  PubMed  Google Scholar 

  34. Heimbach JK, Kulik LM, Finn RS, et al (2018) AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology 67(1):358-380. https://doi.org/10.1002/hep.29086.

    Article  PubMed  Google Scholar 

Download references

Funding

This work was supported by the grants from National Natural Science Foundation of China (NSFC) No. 82071890, 81701657, 81801695 and 81771801.

Author information

Authors and Affiliations

Authors

Contributions

All authors helped to write the manuscript, edit it, and approve it for submission.

Corresponding author

Correspondence to Yaqi Shen.

Ethics declarations

Conflict of interest

All authors declare no conflict of interest in present study.

Ethical approval

This retrospective study was approved by the Ethics Committee of Tongji Hospital.

Consent to participate

The need for individual informed consent was waived by the institutional review board for this retrospective study.

Consent for publication

Approved.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 26 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zou, X., Luo, Y., Morelli, J.N. et al. Differentiation of hepatocellular carcinoma from intrahepatic cholangiocarcinoma and combined hepatocellular-cholangiocarcinoma in high-risk patients matched to MR field strength: diagnostic performance of LI-RADS version 2018. Abdom Radiol 46, 3168–3178 (2021). https://doi.org/10.1007/s00261-021-02996-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-021-02996-y

Keywords

Navigation