Skip to main content

Advertisement

Log in

LI-RADS treatment response lexicon: review, refresh and resolve with emerging data

  • Special Section: HCC Treatment
  • Published:
Abdominal Radiology Aims and scope Submit manuscript

Abstract

The imaging findings after loco regional treatment of hepatocellular carcinoma are variable based on the type of treatment used, the timing interval of imaging after treatment, and the cross-sectional modality used for treatment response assessment. Liver Imaging Reporting and Data System (LI-RADS) Treatment Response Algorithm (TRA) is a relatively new standardized method of evaluating treatment response after loco regional therapy to hepatocellular carcinoma. In this article, we provide an overview of the evolution of the treatment response algorithm, its current applicability and its outlook for the future. We will review current guidelines and discuss proposed changes to the algorithm as a means to continually improve LI-RADS TRA as an assessment tool post-loco regional treatment of hepatocellular carcinoma.

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
Fig. 7

Similar content being viewed by others

References

  1. Kis B, El-Haddad G, Sheth RA, Parikh NS, Ganguli S, Shyn PB, Choi J, Brown KT (2017) Liver-Directed Therapies for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma. Cancer Control 24(3):1073274817729244. https://doi.org/10.1177/1073274817729244

    Article  PubMed  PubMed Central  Google Scholar 

  2. Kim DG, Lee JG, Joo DJ, Kim SI, Kim MS (2019) Favourable outcome of pathologic down staging by loco regional treatment for hepatocellular carcinoma in liver transplantation. Sci Rep 9(1):10386-019-46871–9. https://doi.org/10.1038/s41598-019-46871-9

    Article  PubMed  PubMed Central  Google Scholar 

  3. Elsayes KM, Kielar AZ, Chernyak V, Morshid A, Furlan A, Masch WR, Marks RM, Kamaya A, Do RKG, Kono Y, Fowler KJ, Tang A, Bashir MR, Hecht EM, Jambhekar K, Lyshchik A, Rodgers SK, Heiken JP, Kohli M, Fetzer DT, Wilson SR, Kassam Z, Mendiratta-Lala M, Singal AG, Lim CS, Cruite I, Lee J, Ash R, Mitchell DG, McInnes MDF, Sirlin CB (2019) LI-RADS: a conceptual and historical review from its beginning to its recent integration into AASLD clinical practice guidance. J Hepatocell Carcinoma 6:49–69. https://doi.org/10.2147/JHC.S186239

    Article  PubMed  PubMed Central  Google Scholar 

  4. Tang A, Singal AG, Mitchell DG, Hecht EM, Fowler KJ, Kulik L, Parikh ND, Kono Y, Sirlin CB (2019) Introduction to the Liver Imaging Reporting and Data System for Hepatocellular Carcinoma. Clin Gastroenterol Hepatol 17(7):1228–1238.

    Article  Google Scholar 

  5. Do RK, Chernyak V, Foltz G, Fowler KJ, Kambadakone A, Kielar AZ, Kim CY, Kono Y, Lewis S, Maturen K, Meyer J, Miller FH, Mitchell DG, Newton IG, Piscaglia F, Raman SS, Saad NES, Salem R, Sirlin CB, Tang A, Yaghmai V, Yarmohammadi H, Yokoo T (2018) LI-RADS Treatment Response. In: Chernyak V, Sirlin CB (eds) (2018) The LI-RADS® v2018 Manual. American College of Radiology Committee on LI-RADS®. American College of Radiology, Virginia, pp 9.1–9.53 https://www.acr.org/-/media/ACR/Files/Clinical-Resources/LIRADS/Chapter-9-Treatment-response.pdf?la=en

  6. Chernyak V, Sirlin CB (eds) (2018) The LI-RADS® v2018 Manual. American College of Radiology Committee on LI-RADS®. American College of Radiology, Virginia. https://www.acr.org/-/media/ACR/Files/Clinical-Resources/LIRADS/LI-RADS-2018-Manual-5Dec18.pdf

  7. Mendiratta-Lala M, Masch W, Owen D, Aslam A, Maurino C, Devasia T, Schipper MJ, Parikh ND, Cuneo K, Lawrence TS, Davenport MS (2020a) Natural history of hepatocellular carcinoma after stereotactic body radiation therapy. Abdom Radiol (NY) 45(11):3698–3708. https://doi.org/10.1007/s00261-020-02532-4

    Article  Google Scholar 

  8. Voizard N, Cerny M, Assad A, Billiard JS, Olivié D, Perreault P, Kielar A, Do RKG, Yokoo T, Sirlin CB, Tang A (2019) Assessment of hepatocellular carcinoma treatment response with LI-RADS: a pictorial review. Insights into Imaging 10(1):121-019-0801-z. https://doi.org/10.1186/s13244-019-0801-z

    Article  PubMed  PubMed Central  Google Scholar 

  9. Aslam A, Do RKG, Kambadakone A, Spieler B, Miller FH, Gabr AM, Charalel RA, Kim CY, Madoff DC, Mendiratta-Lala M (2020) Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions. World J Hepatol 12(10):738–753. https://doi.org/10.4254/wjh.v12.i10.738

    Article  PubMed  PubMed Central  Google Scholar 

  10. Kim KW, Lee JM, Choi BI (2011) Assessment of the treatment response of HCC. Abdom Imaging 36(3):300–314. https://doi.org/10.1007/s00261-011-9683-3

    Article  PubMed  Google Scholar 

  11. Miszczuk MA, Chapiro J, Geschwind JH, Thakur V, Nezami N, Laage-Gaupp F, Kulon M, van Breugel JMM, Fereydooni A, Lin M, Savic LJ, Tegel B, Wahlin T, Funai E, Schlachter T (2020) Lipiodol as an Imaging Biomarker of Tumor Response After Conventional Transarterial Chemoembolization: Prospective Clinical Validation in Patients with Primary and Secondary Liver Cancer. Transl Oncol 13(3):100742.

    Article  Google Scholar 

  12. Gregory J, Dioguardi Burgio M, Corrias G, Vilgrain V, Ronot M (2020) Evaluation of liver tumour response by imaging. JHEP Rep 2(3):100100. https://doi.org/10.1016/j.jhepr.2020.100100

    Article  PubMed  PubMed Central  Google Scholar 

  13. Chapiro J, Duran R, Lin M, Schernthaner R, Lesage D, Wang Z, Savic LJ, Geschwind JF (2015) Early survival prediction after intra-arterial therapies: a 3D quantitative MRI assessment of tumour response after TACE or radioembolization of colorectal cancer metastases to the liver. Eur Radiol 25(7):1993–2003. https://doi.org/10.1007/s00330-015-3595-5

    Article  PubMed  PubMed Central  Google Scholar 

  14. Hass P, Mohnike K (2014) Extending the Frontiers Beyond Thermal Ablation by Radiofrequency Ablation: SBRT, Brachytherapy, SIRT (Radioembolization). Viszeralmedizin 30(4):245–252. https://doi.org/10.1159/000366088

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kellock T, Liang T, Harris A, Schellenberg D, Ma R, Ho S, Yap WW (2018) Stereotactic body radiation therapy (SBRT) for hepatocellular carcinoma: imaging evaluation post treatment. J Radiol 91(1085):20170118. https://doi.org/10.1259/bjr.20170118

    Article  Google Scholar 

  16. Gervais DA, Arellano RS (2011) Percutaneous tumor ablation for hepatocellular carcinoma. AJR Am J Roentgenol 197(4):789–794. https://doi.org/10.2214/AJR.11.7656

    Article  PubMed  Google Scholar 

  17. Do RK, Mendiratta-Lala M (2020) LI-RADS Version 2018 Treatment Response Algorithm: The Evidence Is Accumulating. Radiology 294(2):327–328. https://doi.org/10.1148/radiol.2020192484

    Article  PubMed  Google Scholar 

  18. Chaudhry M, McGinty KA, Mervak B, Lerebours R, Li C, Shropshire E, Ronald J, Commander L, Hertel J, Luo S, Bashir MR, Burke LMB (2020) The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma. Radiology 294(2):320–326. https://doi.org/10.1148/radiol.2019191581

    Article  PubMed  Google Scholar 

  19. Rudnick SR, Russo MW (2018) Liver transplantation beyond or down staging within the Milan criteria for hepatocellular carcinoma. Expert Rev Gastroenterol Hepatol 12(3):265–275. https://doi.org/10.1080/17474124.2018.1417035

    Article  CAS  PubMed  Google Scholar 

  20. Shropshire EL, Chaudhry M, Miller CM, Allen BC, Bozdogan E, Cardona DM, King LY, Janas GL, Do RK, Kim CY, Ronald J, Bashir MR (2019) LI-RADS Treatment Response Algorithm: Performance and Diagnostic Accuracy. Radiology 292(1):226–234. https://doi.org/10.1148/radiol.2019182135

    Article  PubMed  Google Scholar 

  21. Seo N, Kim MS, Park MS, Choi JY, Do RKG, Han K, Kim MJ (2020) Evaluation of treatment response in hepatocellular carcinoma in the explanted liver with Liver Imaging Reporting and Data System version 2017. Eur Radiol 30(1):261–271. https://doi.org/10.1007/s00330-019-06376-5

    Article  PubMed  Google Scholar 

  22. Park S, Joo I, Lee DH, Bae JS, Yoo J, Kim SW, Lee JM (2020) Diagnostic Performance of LI-RADS Treatment Response Algorithm for Hepatocellular Carcinoma: Adding Ancillary Features to MRI Compared with Enhancement Patterns at CT and MRI. Radiology 296(3):554–561. https://doi.org/10.1148/radiol.2020192797

    Article  PubMed  Google Scholar 

  23. Kim SW, Joo I, Kim HC, Ahn SJ, Kang HJ, Jeon SK, Lee JM (2020) LI-RADS treatment response categorization on gadoxetic acid-enhanced MRI: diagnostic performance compared to mRECIST and added value of ancillary features. Eur Radiol 30(5):2861–2870. https://doi.org/10.1007/s00330-019-06623-9

    Article  CAS  PubMed  Google Scholar 

  24. Saleh TY, Bahig S, Shebrya N, Ahmed AY (2019) Value of dynamic and DWI MRI in evaluation of HCC viability after TACE via LI-RADS v2018 diagnostic algorithm. Egyptian Journal of Radiology and Nuclear Medicine 50(1):113. https://doi.org/10.1186/s43055-019-0120-x

    Article  Google Scholar 

  25. Thibodeau-Antonacci A, Petitclerc L, Gilbert G, Bilodeau L, Olivié D, Cerny M, Castel H, Turcotte S, Huet C, Perreault P, Soulez G, Chagnon M, Kadoury S, Tang A (2019) Dynamic contrast-enhanced MRI to assess hepatocellular carcinoma response to Transarterial chemoembolization using LI-RADS criteria: A pilot study. Magnetic resonance imaging 62:78–86.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roopa Ram.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ram, R., Kampalath, R., Shenoy-Bhangle, A.S. et al. LI-RADS treatment response lexicon: review, refresh and resolve with emerging data. Abdom Radiol 46, 3549–3557 (2021). https://doi.org/10.1007/s00261-021-03149-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00261-021-03149-x

Keywords

Navigation