Abstract
Purpose
To investigate the long-term evolution of LR-2, LR-3 and LR-4 observations in patients with hepatitis B virus (HBV)-related cirrhosis based on LI-RADS v2018 and identify predictors of progression to a malignant category on serial gadoxetic acid-enhanced magnetic resonance imaging (Gd-EOB-MRI).
Methods
This retrospective study included 179 cirrhosis patients with untreated indeterminate observations who underwent Gd-EOB-MRI exams at baseline and during the follow-up period between June 2016 and December 2021. Two radiologists independently assessed the major features, ancillary features, and LI-RADS category of each observation at baseline and follow-up. In cases of disagreement, a third radiologist was consulted for consensus. Cumulative incidences for progression to a malignant category (LR-5 or LR-M) and to LR-4 or higher were analyzed for each index category using Kaplan‒Meier methods and compared using log-rank tests. The risk factors for malignant progression were evaluated using a Cox proportional hazard model.
Results
A total of 213 observations, including 74 (34.7%) LR-2, 95 (44.6%) LR-3, and 44 (20.7%) LR-4, were evaluated. The overall cumulative incidence of progression to a malignant category was significantly higher for LR-4 observations than for LR-3 or LR-2 observations (each P < 0.001), and significantly higher for LR-3 observations than for LR-2 observations (P < 0.001); at 3-, 6-, and 12-month follow-ups, the cumulative incidence of progression to a malignant category was 11.4%, 29.5%, and 39.3% for LR-4 observations, 0.0%, 8.5%, and 19.6% for LR-3 observations, and 0.0%, 0.0%, and 0.0% for LR-2 observations, respectively. The cumulative incidence of progression to LR-4 or higher was higher for LR-3 observations than for LR-2 observations (P < 0.001); at 3-, 6-, and 12-month follow-ups, the cumulative incidence of progression to LR-4 or higher was 0.0%, 8.5%, and 24.6% for LR-3 observations, and 0.0%, 0.0%, and 0.0% for LR-2 observations, respectively. In multivariable analysis, nonrim arterial phase hyperenhancement (APHE) [hazard ratio (HR) = 2.13, 95% CI 1.04–4.36; P = 0.038], threshold growth (HR = 6.50, 95% CI 2.88–14.65; P <0.001), and HBP hypointensity (HR = 16.83, 95% CI 3.97–71.34; P <0.001) were significant independent predictors of malignant progression.
Conclusion
The higher LI-RADS v2018 categories had an increasing risk of progression to a malignant category during long-term evolution. Nonrim APHE, threshold growth, and HBP hypointensity were the imaging features that were significantly predictive of malignant progression.
Graphical abstract
Similar content being viewed by others
References
Sung H, Ferlay J, Siegel RL et al (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 71 (3):209-249. https://doi.org/https://doi.org/10.3322/caac.21660.
Jiang Y, Han Q, Zhao H, Zhang J (2021) The Mechanisms of HBV-Induced Hepatocellular Carcinoma. J Hepatocell Carcinoma 8:435-450. https://doi.org/https://doi.org/10.2147/JHC.S307962.
Singal AG, Zhang E, Narasimman M et al (2022) HCC surveillance improves early detection, curative treatment receipt, and survival in patients with cirrhosis: A meta-analysis. Journal of hepatology 77 (1):128-139. https://doi.org/https://doi.org/10.1016/j.jhep.2022.01.023.
American College of Radiology. Liver imaging reporting and data system version 2018. https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS. Accessed January 16, 2019.
van der Pol CB, Lim CS, Sirlin CB et al (2019) Accuracy of the Liver Imaging Reporting and Data System in Computed Tomography and Magnetic Resonance Image Analysis of Hepatocellular Carcinoma or Overall Malignancy-A Systematic Review. Gastroenterology 156 (4):976-986. https://doi.org/https://doi.org/10.1053/j.gastro.2018.11.020.
van der Pol CB, McInnes MDF, Salameh JP et al (2019) CT/MRI and CEUS LI-RADS Major Features Association with Hepatocellular Carcinoma: Individual Patient Data Meta-Analysis. Radiology 302 (2):326-335. https://doi.org/https://doi.org/10.1148/radiol.2021211244.
Mitchell DG, Bashir MR, Sirlin CB (2019) Management implications and outcomes of LI-RADS-2, -3, -4, and -M category observations. Abdom Radiol (NY) 43 (1):143-148. https://doi.org/https://doi.org/10.1007/s00261-017-1251-z.
Tanabe M, Kanki A, Wolfson T et a1 (2016) Imaging Outcomes of Liver Imaging Reporting and Data System Version 2014 Category 2, 3, and 4 Observations Detected at CT and MR Imaging. Radiology 281 (1):129-39. https://doi.org/https://doi.org/10.1148/radiol.2016152173.
Hong CW, Park CC, Mamidipalli A et al (2019) Longitudinal evolution of CT and MRI LI-RADS v2014 category 1, 2, 3, and 4 observations. Eur Radiol 29 (9):5073-5081. https://doi.org/https://doi.org/10.1007/s00330-019-06058-2.
Shropshire E, Mamidipalli A, Wolfson T et al (2020) LI-RADS ancillary feature prediction of longitudinal category changes in LR-3 observations: an exploratory study. Abdom Radiol (NY), 45 (10):3092-3102. https://doi.org/https://doi.org/10.1007/s00261-020-02429-2.
Burke LM, Sofue K, Alagiyawanna M et al (2016) Natural history of liver imaging reporting and data system category 4 nodules in MRI. Abdom Radiol (NY) 41 (9):1758-66. https://doi.org/https://doi.org/10.1007/s00261-016-0762-3.
Sofue K, Burke LMB, Nilmini V et al (2017) Liver imaging reporting and data system category 4 observations in MRI: Risk factors predicting upgrade to category 5. J Magn Reson Imaging 46 (3):783-792. https://doi.org/https://doi.org/10.1002/jmri.25627.
Kim BJ, Choi SH, Kim SY et al (2022) Liver Imaging Reporting and Data System categories: Long-term imaging outcomes in a prospective surveillance cohort. Liver Int 42 (7):1648-1657. https://doi.org/https://doi.org/10.1111/liv.15276.
Cannella R, Vernuccio F, Celsa C et al (2021) Long-term evolution of LI-RADS observations in HCV-related cirrhosis treated with direct-acting antivirals. Liver Int 41 (9):2179-2188. https://doi.org/https://doi.org/10.1111/liv.14914.
Onyirioha K, Joshi S, Burkholder D et al (2022) Clinical Outcomes of Patients with Suspicious (LI-RADS 4) Liver Observations. Clin Gastroenterol Hepatol 9:S1542-3565(22)00378-0. https://doi.org/10.1016/j.cgh.2022.03.038.
Agnello F, Albano D, Sparacia G et al (2020) Outcome of LR-3 and LR-4 observations without arterial phase hyperenhancement at Gd-EOB-DTPA-enhanced MRI follow-up. Clin Imaging 68:169-174. https://doi.org/https://doi.org/10.1016/j.clinimag.2020.08.003.
Ranathunga D, Osman H, Islam N et al (2022) Progression Rates of LR-2 and LR-3 Observations on MRI to Higher LI-RADS Categories in Patients at High Risk of Hepatocellular Carcinoma: A Retrospective Study. AJR Am J Roentgenol 218 (3):462-470. https://doi.org/https://doi.org/10.2214/AJR.21.26376.
Choi JY, Cho HC, Sun M et al (2013) Indeterminate observations (liver imaging reporting and data system category 3) on MRI in the cirrhotic liver: fate and clinical implications. AJR Am J Roentgenol 201 (5):993-1001. https://doi.org/https://doi.org/10.2214/AJR.12.10007.
Arvind A, Joshi S, Zaki T et al (2023) Risk of Hepatocellular Carcinoma in Patients With Indeterminate (LI-RADS 3) Liver Observations. Clin Gastroenterol Hepatol 21 (4):1091-1093.e3. https://doi.org/https://doi.org/10.1016/j.cgh.2021.11.042.
Vernuccio F, Cannella R, Choudhury KR et al (2020) Hepatobiliary phase hypointensity predicts progression to hepatocellular carcinoma for intermediate-high risk observations, but not time to progression. Eur J Radiol 128:109018. https://doi.org/10.1016/j.ejrad.2020.109018.
Kundel HL, Polansky M (2003) Measurement of observer agreement. Radiology 228 (2):303-8. https://doi.org/https://doi.org/10.1148/radiol.2282011860.
Darnell A, Forner A, Rimola J et al (2015) Liver Imaging Reporting and Data System with MR Imaging: Evaluation in Nodules 20 mm or Smaller Detected in Cirrhosis at Screening US. Radiology 275 (3):698-707. https://doi.org/https://doi.org/10.1148/radiol.15141132.
Choi SH, Byun JH, Lim YS et al (2018) Liver Imaging Reporting and Data System: Patient Outcomes for Category 4 and 5 Nodules. Radiology 287 (2):515-524. https://doi.org/https://doi.org/10.1148/radiol.2018170748.
Toyoda H, Tada T, Yasuda S et al (2019) The emergence of non-hypervascular hypointense nodules on Gd-EOB-DTPA-enhanced MRI in patients with chronic hepatitis C. Aliment Pharmacol Ther 50 (11-12):1232-1238. https://doi.org/https://doi.org/10.1111/apt.15490.
Choi BI, Lee JM, Kim TK et al (2014) Diagnosing Borderline Hepatic Nodules in Hepatocarcinogenesis: Imaging Performance. AJR Am J Roentgenol 205 (1):10-21. https://doi.org/https://doi.org/10.2214/AJR.14.12655.
Choi JY, Lee JM, Sirlin CB (2014) CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part I. Development, growth, and spread: key pathologic and imaging aspects. Radiology 272 (3):635-54. https://doi.org/10.1148/radiol.14132361.
Narsinh KH, Cui J, Papadatos D et al (2018) Hepatocarcinogenesis and LI-RADS. Abdom Radiol (NY) 43 (1):158-168. https://doi.org/https://doi.org/10.1007/s00261-017-1409-8.
Kim YS, Song JS, Lee HK et al (2016) Hypovascular hypointense nodules on hepatobiliary phase without T2 hyperintensity on gadoxetic acid-enhanced MR images in patients with chronic liver disease: long-term outcomes and risk factors for hypervascular transformation. Eur Radiol 26 (10):3728-36. https://doi.org/https://doi.org/10.1007/s00330-015-4146-9.
Choi SJ, Choi SH, Lee HK et al (2023) Value of threshold growth as a major diagnostic feature of hepatocellular carcinoma in LI-RADS. J Hepatol 78 (3):596-603. https://doi.org/https://doi.org/10.1016/j.jhep.2022.11.006.
Fowler KJ, Tang A, Santillan C et al (2018) Interreader Reliability of LI-RADS Version 2014 Algorithm and Imaging Features for Diagnosis of Hepatocellular Carcinoma: A Large International Multireader Study. Radiology 286 (1):173-185. https://doi.org/https://doi.org/10.1148/radiol.2017170376.
Acknowledgements
A part of these results was presented at the 2023 ISMRM Annual Meeting as an online oral Power Pitch presentation
Funding
No financial support/funding.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
All authors declare that they have no conflict of interests. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Xing, F., Zhang, T., Miao, X. et al. Long-term evolution of LR-2, LR-3 and LR-4 observations in HBV-related cirrhosis based on LI-RADS v2018 using gadoxetic acid-enhanced MRI. Abdom Radiol 48, 3703–3713 (2023). https://doi.org/10.1007/s00261-023-04016-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00261-023-04016-7