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HCC screening with ultrasound: assessment of quality using ultrasound LI-RADS score

  • Hepatobiliary
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Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To describe ultrasound (US) quality for hepatocellular carcinoma (HCC) screening/surveillance using the US LI-RADS scoring system, and to assess predictive factors of worse US quality scores.

Methods

This retrospective study included adult patients (n = 470; M/F 264/206, median age 59y) at risk for HCC that underwent US for HCC screening/surveillance. US examinations were independently reviewed by 2 radiologists that assigned a visualization score (A: no/minimal, B: moderate, C: severe limitation) and US diagnostic category (US LI-RADS 1: negative, US LI-RADS 2: subthreshold, US LI-RADS 3: positive) to each study. A generalized linear mixed model was used to assess the predictive factors of worse visualization score using OR (odds ratio) statistics. Simple Kappa coefficient (K) assessed inter-reader agreement.

Results

For readers 1 and 2, 295/320 (62.8%/68.1%) cases were scored A, 153/134 (32.6%/28.5%) were scored B, and 22/16 (4.6%/3.4%) were scored C, respectively. There was moderate inter-reader agreement for US LI-RADS visualization score (K = 0.478) and 100% concordance for US diagnostic category (K = 1), with 30 (6.4%) cases scored as positive (US LI-RADS 3). Cirrhosis and obesity were significant independent predictors of worse visualization scores (B/C) (cirrhosis: OR 10.4 confidence intervals: [4.25–25.48], p < 0.001; obesity: OR 3.61 [2.11–6.20], p < 0.001). Of the 30 lesions scored as US LI-RADS 3, 9 were characterized as probable or definite HCC on confirmatory CT/MRI, yielding a PPV of 30% (9/30) and a false-positive rate of 70% (21/30).

Conclusion

Moderate to severe limitations in quality of US performed for HCC screening/surveillance was observed in approximately one-third of patients. Patients with cirrhosis and/or elevated BMI have poorer quality US studies and may benefit from other screening modalities such as CT or MRI.

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Abbreviations

AFP:

Alpha-fetoprotein

ALD:

Alcoholic liver disease

BMI:

Body mass index

CT:

Computed tomography

HBV:

Hepatitis B virus

HCV:

Hepatitis C virus

HCC:

Hepatocellular carcinoma

LI-RADS:

Liver imaging reporting and data system

MRI:

Magnetic resonance imaging

NASH:

Nonalcoholic steatohepatitis

US:

Ultrasound

References

  1. Tang, A., et al., Epidemiology of hepatocellular carcinoma: target population for surveillance and diagnosis. Abdom Radiol (NY), 2018. 43(1): p. 13-25.

    Article  Google Scholar 

  2. Jemal, A., et al., Annual Report to the Nation on the Status of Cancer, 1975-2014, Featuring Survival. J Natl Cancer Inst, 2017. 109(9).

    Article  Google Scholar 

  3. Tzartzeva, K., et al., Surveillance Imaging and Alpha Fetoprotein for Early Detection of Hepatocellular Carcinoma in Patients With Cirrhosis: A Meta-analysis. Gastroenterology, 2018. 154(6): p. 1706-1718.e1.

    Article  CAS  Google Scholar 

  4. Singal, A.G., A. Pillai, and J. Tiro, Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med, 2014. 11(4): p. e1001624.

    Article  Google Scholar 

  5. Kansagara, D., et al., Screening for hepatocellular carcinoma in chronic liver disease: a systematic review. Ann Intern Med, 2014. 161(4): p. 261-9.

    Article  Google Scholar 

  6. Zhang, B.H., B.H. Yang, and Z.Y. Tang, Randomized controlled trial of screening for hepatocellular carcinoma. J Cancer Res Clin Oncol, 2004. 130(7): p. 417-22.

    Article  Google Scholar 

  7. Morgan, T.A., et al., US LI-RADS: ultrasound liver imaging reporting and data system for screening and surveillance of hepatocellular carcinoma. Abdom Radiol (NY), 2018. 43(1): p. 41-55.

    Article  Google Scholar 

  8. Song, P., et al., The clinical management of hepatocellular carcinoma worldwide: A concise review and comparison of current guidelines from 2001 to 2017. Biosci Trends, 2017. 11(4): p. 389-398.

    Article  Google Scholar 

  9. Fetzer, D.T., et al., Screening and Surveillance of Hepatocellular Carcinoma: An Introduction to Ultrasound Liver Imaging Reporting and Data System. Radiol Clin North Am, 2017. 55(6): p. 1197-1209.

    Article  Google Scholar 

  10. Radiology, A.C.o. Ultrasound LI-RADS v2017. [cited 2022 January 19]; Available from: https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS/Ultrasound-LI-RADS-v2017.

  11. Millet, J.D., et al., ACR Ultrasound Liver Reporting and Data System: Multicenter Assessment of Clinical Performance at One Year. J Am Coll Radiol, 2019. 16(12): p. 1656-1662.

    Article  Google Scholar 

  12. Kiri, L., et al., US LI-RADS Visualization Score: Interobserver Variability and Association With Cause of Liver Disease, Sex, and Body Mass Index. Can Assoc Radiol J, 2022. 73(1): p. 68-74.

    Article  Google Scholar 

  13. Hernandez-Meza, G., et al., MRI is the most commonly used imaging modality for HCC screening at a tertiary care transplant center. Abdom Radiol (NY), 2021. 46(11): p. 5142-5151.

    Article  Google Scholar 

  14. Radiology, A.C.o. Ultrasound LI-RADS® v2017. 2017 06/01/2021]; Available from: https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS/Ultrasound-LI-RADS-v2017.

  15. Landis, J.R. and G.G. Koch, The measurement of observer agreement for categorical data. Biometrics, 1977. 33(1): p. 159-74.

    Article  CAS  Google Scholar 

  16. Sevco, T.J., et al., Ultrasound (US) LI-RADS: Outcomes of Category US-3 Observations. AJR Am J Roentgenol, 2021. 217(3): p. 644-650.

    Article  Google Scholar 

  17. Samoylova, M.L., et al., Predictors of Ultrasound Failure to Detect Hepatocellular Carcinoma. Liver Transpl, 2018. 24(9): p. 1171-1177.

    Article  Google Scholar 

  18. Simmons, O., et al., Predictors of adequate ultrasound quality for hepatocellular carcinoma surveillance in patients with cirrhosis. Aliment Pharmacol Ther, 2017. 45(1): p. 169-177.

    Article  CAS  Google Scholar 

  19. Brahee, D.D., et al., Body Mass Index and Abdominal Ultrasound Image Quality:A Pilot Survey of Sonographers. Journal of Diagnostic Medical Sonography, 2013. 29(2): p. 66-72.

    Article  Google Scholar 

  20. Paladini, D., Sonography in obese and overweight pregnant women: clinical, medicolegal and technical issues. Ultrasound Obstet Gynecol, 2009. 33(6): p. 720-9.

    Article  CAS  Google Scholar 

  21. Joshi, K., et al., Hepatocellular carcinoma surveillance: a national survey of current practices in the USA. Dig Dis Sci, 2014. 59(12): p. 3073-7.

    Article  Google Scholar 

  22. Kim, S.Y., et al., MRI With Liver-Specific Contrast for Surveillance of Patients With Cirrhosis at High Risk of Hepatocellular Carcinoma. JAMA Oncol, 2017. 3(4): p. 456-463.

    Article  Google Scholar 

  23. Colli, A., et al., Accuracy of ultrasonography, spiral CT, magnetic resonance, and alpha-fetoprotein in diagnosing hepatocellular carcinoma: a systematic review. Am J Gastroenterol, 2006. 101(3): p. 513-23.

    Article  CAS  Google Scholar 

  24. Arguedas, M.R., et al., Screening for hepatocellular carcinoma in patients with hepatitis C cirrhosis: a cost-utility analysis. Am J Gastroenterol, 2003. 98(3): p. 679-90.

    Article  Google Scholar 

  25. Tiyarattanachai, T., D.T. Fetzer, and A. Kamaya, Multicenter Study of ACR Ultrasound LI-RADS Visualization Scores on Serial Examinations: Implications for Changes in Surveillance Strategies. AJR Am J Roentgenol, 2022.

    Article  Google Scholar 

  26. An, J.Y., et al., Abbreviated MRI for Hepatocellular Carcinoma Screening and Surveillance. Radiographics, 2020. 40(7): p. 1916-1931.

    Article  Google Scholar 

  27. Bartolotta, T.V., et al., Contrast-enhanced ultrasound of hepatocellular carcinoma: where do we stand? Ultrasonography, 2019. 38(3): p. 200-214.

    Article  Google Scholar 

  28. Besa, C., et al., Hepatocellular carcinoma detection: diagnostic performance of a simulated abbreviated MRI protocol combining diffusion-weighted and T1-weighted imaging at the delayed phase post gadoxetic acid. Abdominal Radiology, 2017. 42(1): p. 179-190.

    Article  Google Scholar 

  29. Vietti Violi, N., et al., Abbreviated Magnetic Resonance Imaging for HCC Surveillance. Clin Liver Dis (Hoboken), 2021. 17(3): p. 133-138.

    Article  Google Scholar 

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Acknowledgements

The remaining authors did not receive support from any organization for the submitted work.

Funding

The remaining authors have no relevant financial or non-financial interests to disclose.

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Authors and Affiliations

Authors

Contributions

Bachir Taouli, MD, MHA: Research support/grant: Bayer, Takeda, Regeneron, Helio Health, Siemens, Echosens. Consultant: Bayer, Guerbet.

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Correspondence to Michael J. King.

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King, M.J., Lee, K.M., Rosberger, S. et al. HCC screening with ultrasound: assessment of quality using ultrasound LI-RADS score. Abdom Radiol 48, 263–270 (2023). https://doi.org/10.1007/s00261-022-03702-2

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  • DOI: https://doi.org/10.1007/s00261-022-03702-2

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