Have a personal or library account? Click to login
Machine learning models for predicting hepatocellular carcinoma development in patients with chronic viral hepatitis B infection Cover

References

  1. World Health Organization. Global Hepatitis Report. Geneva; 2017, p. 13.
  2. Perz JF, Armstrong GL, Farrington LA, Hutin YJ, Bell BP. The contributions of hepatitis B virus and hepatitis C virus infections to cirrhosis and primary liver cancer worldwide. J Hepatol. 2006; 45:529–38.
  3. Fattovich G, Bortolotti F, Donato F. Natural history of chronic hepatitis B: special emphasis on disease progression and prognostic factors. J Hepatol. 2008; 48:335–52.
  4. Terrault NA, Lok ASF, McMahon BJ, Chang KM, Hwang JP, Jonas MM, et al. Update on prevention, diagnosis, and treatment of chronic hepatitis B: AASLD 2018 hepatitis B guidance. Hepatology. 2018; 67:1560–99.
  5. Sarin SK, Kumar M, Lau GK, Abbas Z, Chan HL, Chen CJ, et al. Asian-Pacific clinical practice guidelines on the management of hepatitis B: a 2015 update. Hepatol Int. 2016; 10:1–98.
  6. European Association for the Study of the Liver. EASL 2017 Clinical Practice Guidelines on the management of hepatitis B virus infection. J Hepatol. 2017; 67:370–98.
  7. Wong GL, Chan HL, Wong CK, Leung C, Chan CY, Ho PP, et al. Liver stiffness-based optimization of hepatocellular carcinoma risk score in patients with chronic hepatitis B. J Hepatol. 2014; 60:339–45.
  8. Yang HI, Yuen MF, Chan HL, Han KH, Chen PJ, Kim DY, et al. Risk estimation for hepatocellular carcinoma in chronic hepatitis B (REACH-B): development and validation of a predictive score. Lancet Oncol. 2011; 12:568–74.
  9. Wong VW, Chan SL, Mo F, Chan TC, Loong HH, Wong GL, et al. Clinical scoring system to predict hepatocellular carcinoma in chronic hepatitis B carriers. J Clin Oncol. 2010; 28:1660–5.
  10. Yuen MF, Tanaka Y, Fong DY, Fung J, Wong DK, Yuen JC, et al. Independent risk factors and predictive score for the development of hepatocellular carcinoma in chronic hepatitis B. J Hepatol. 2009; 50:80–8.
  11. Kim HY, Lampertico P, Nam JY, Lee HC, Kim SU, Sinn DH, et al. An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B. J Hepatol. 2022; 76:311–8.
  12. Nam JY, Sinn DH, Bae J, Jang ES, Kim JW, Jeong SH. Deep learning model for prediction of hepatocellular carcinoma in patients with HBV-related cirrhosis on antiviral therapy. JHEP Rep. 2020; 2:100175. doi: 10.1016/j.jhepr.2020.100175
  13. Hann HW, Fu X, Myers RE, Hann RS, Wan S, Kim SH, et al. Predictive value of alpha-fetoprotein in the long-term risk of developing hepatocellular carcinoma in patients with hepatitis B virus infection – results from a clinic-based longitudinal cohort. Eur J Cancer. 2012; 48:2319–27.
  14. Tzartzeva K, Obi J, Rich NE, Parikh ND, Marrero JA, Yopp A, et al. Surveillance imaging and alpha fetoprotein for early detection of hepatocellular carcinoma in patients with cirrhosis: a meta-analysis. Gastroenterology. 2018; 154:1706–18.e1.
  15. Ronot M, Pommier R, Dioguardi Burgio M, Purcell Y, Nahon P, Vilgrain V. Hepatocellular carcinoma surveillance with ultrasound-cost-effectiveness, high-risk populations, uptake. Br J Radiol. 2018; 91:20170436. doi: 10.1259/bjr.20170436
DOI: https://doi.org/10.2478/abm-2025-0007 | Journal eISSN: 1875-855X | Journal ISSN: 1905-7415
Language: English
Page range: 51 - 59
Published on: Feb 28, 2025
Published by: Chulalongkorn University
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2025 Warissara Kuaaroon, Thodsawit Tiyarattanachai, Terapap Apiparakoon, Sanparith Marukatat, Natthaporn Tanpowpong, Sombat Treeprasertsuk, Rungsun Rerknimitr, Pisit Tangkijvanich, Prooksa Ananchuensook, Watcharasak Chotiyaputta, Kittichai Samaithongcharoen, Roongruedee Chaiteerakij, published by Chulalongkorn University
This work is licensed under the Creative Commons Attribution 4.0 License.