An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B
- 주제(키워드) liver cancer , deep neural networking , antiviral treatment , chronic hepatitis B , HCC , HBV
- 주제(기타) Gastroenterology & Hepatology
- 설명문(일반) [Kim, Hwi Young] Ewha Womans Univ, Coll Med, Dept Internal Med, Seoul, South Korea; [Lampertico, Pietro] Fdn IRCCS Ca Granda Osped Maggiore Policlin, Div Gastroenterol & Hepatol, Milan, Italy; [Lampertico, Pietro] Univ Milan, CRC AM & A Migliavacca Ctr Liver Dis, Dept Pathophysiol & Transplantat, Milan, Italy; [Nam, Joon Yeul; Lee, Yun Bin; Kim, Yoon Jun; Yoon, Jung-Hwan; Lee, Jeong-Hoon] Seoul Natl Univ, Liver Res Inst, Dept Internal Med, Coll Med, Seoul, South Korea; [Lee, Hyung-Chul] Seoul Natl Univ, Dept Anesthesiol, Coll Med, Seoul, South Korea; [Kim, Seung Up] Severance Hosp, Dept Internal Med, Yonsei Liver Ctr, Seoul, South Korea; [Kim, Seung Up] Yonsei Univ, Coll Med, Seoul, South Korea; [Sinn, Dong Hyun] Sungkyunkwan Univ, Samsung Med Ctr, Dept Internal Med, Sch Med, Seoul, South Korea; [Seo, Yeon Seok; Lee, Han Ah] Korea Univ, Korea Univ Coll, Dept Internal Med, Anam Hosp, Seoul, South Korea; [Lee, Han Ah; Yoon, Eileen L.] Inje Univ, Sanggye Paik Hosp, Dept Internal Med, Coll Med, Seoul, South Korea; [Park, Soo Young] Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Internal Med, Daegu, South Korea; [Lim, Young-Suk] Univ Ulsan, Asan Med Ctr, Dept Internal Med, Coll Med, Seoul, South Korea; [Jang, Eun Sun] Seoul Natl Univ, Seoul Natl Univ Coll Med, Dept Internal Med, Bundang Hosp, Seoul, South Korea; [Yoon, Eileen L.; Jun, Dae Won] Hanyang Univ, Hanyang Univ Hosp, Dept Internal Med, Coll Med, Seoul, South Korea; [Kim, Hyoung Su] Hallym Univ, Kangdong Sacred Heart Hosp, Dept Internal Med, Coll Med, Seoul, South Korea; [Kim, Sung Eun] Hallym Univ, Hallym Univ Coll Med, Dept Internal Med, Sacred Heart Hosp, Anyang, South Korea; [Ahn, Sang Bong] Eulji Univ, Nowon Eulji Med Ctr, Dept Internal Med, Coll Med, Seoul, South Korea; [Ahn, Sang Bong] Kyung Hee Univ, Dept Internal Med, Sch Med, Seoul, South Korea; [Jeong, Soung Won] Soonchunhyang Univ, Soonchunhyang Univ Seoul Hosp, Dept Internal Med, Coll Med, Seoul, South Korea; [Jung, Yong Jin] Seoul Natl Univ, Dept Internal Med, Boramae Med Ctr, Seoul Metropolitan Govt, Seoul, South Korea; [Sohn, Joo Hyun] Hanyang Univ, Hanyang Univ Guri Hosp, Dept Internal Med, Coll Med, Guri Si, South Korea; [Cho, Yong Kyun] Sungkyunkwan Univ, Kangbuk Samsung Hosp, Dept Internal Med, Sch Med, Seoul, South Korea; [Dalekos, George N.] Gen Univ Hosp Larissa, Dept Med, Larisa, Greece; [Dalekos, George N.] Gen Univ Hosp Larissa, Res Lab Internal Med, Natl Expertise Ctr Greece Autoimmune Liver Dis, Larisa, Greece; [Idilman, Ramazan] Ankara Univ, Dept Gastroenterol, Sch Med, Ankara, Turkey; [Sypsa, Vana] Natl & Kapodistrian Univ Athens, Dept Hyg Epidmiol & Med Stat, Med Sch, Athens, Greece; [Berg, Thomas] Univ Leipzig, Dept Med 2, Div Hepatol, Med Ctr, Leipzig, Germany; [Buti, Maria] Hosp Gen Univ Vall Hebron & Ciberehd, Barcelona, Spain; [Calleja, Jose Luis] Hosp U Puerta Hierro, IDIPHIM CIBERehd, Madrid, Spain; [Goulis, John] Aristotle Univ Thessaloniki, Gen Hosp Thessaloniki Hippokratio, Dept Internal Med 4, Med Sch, Thessaloniki, Greece; [Manolakopoulos, Spilios] Natl & Kapodistrian Univ Athens, Gen Hosp Athens Hippokratio, Med Sch Natl, Dept Internal Med 2, Athens, Greece; [Janssen, Harry L. A.] Univ Hlth Network, Toronto Western & Gen Hosp, Liver Clin, Toronto, ON, Canada; [Jang, Myoung-jin] Seoul Natl Univ Hosp, Med Res Collaborat Ctr, Seoul, South Korea; [Papatheodoridis, George V.] Natl & Kapodistrian Univ Athens, Gen Hosp Athens Laiko, Med Sch Natl, Dept Gastroenterol, Athens, Greece; [Papatheodoridis, George V.] Kapodistrian Univ Athens, Laiko Gen Hosp Athens, Med Sch Natl, Dept Gastroenterol, 17 Agiou Thoma St, Athens 11527, Greece
- 등재 SCIE, SCOPUS
- 발행기관 ELSEVIER
- 발행년도 2022
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000190852
- 본문언어 영어
- Published As https://doi.org/10.1016/j.jhep.2021.09.025
- PubMed https://pubmed.ncbi.nlm.nih.gov/34606915
초록/요약
Background & Aims: Several models have recently been developed to predict risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Our aims were to develop and validate an artificial intelligence-assisted prediction model of HCC risk. Methods: Using a gradient-boosting machine (GBM) algorithm, a model was developed using 6,051 patients with CHB who received entecavir or tenofovir therapy from 4 hospitals in Korea. Two external validation cohorts were independently established: Korean (5,817 patients from 14 Korean centers) and Caucasian (1,640 from 11 Western centers) PAGE-B cohorts. The primary outcome was HCC development. Results: In the derivation cohort and the 2 validation cohorts, cirrhosis was present in 26.9%-50.2% of patients at baseline. A model using 10 parameters at baseline was derived and showed good predictive performance (c-index 0.79). This model showed significantly better discrimination than previous models (PAGEB, modified PAGE-B, REACH-B, and CU-HCC) in both the Korean (c-index 0.79 vs. 0.64-0.74; all p <0.001) and Caucasian validation cohorts (c-index 0.81 vs. 0.57-0.79; all p <0.05 except modified PAGE-B, p = 0.42). A calibration plot showed a satisfactory calibration function. When the patients were grouped into 4 risk groups, the minimal-risk group (11.2% of the Korean cohort and 8.8% of the Caucasian cohort) had a less than 0.5% risk of HCC during 8 years of follow-up. Conclusions: This GBM-based model provides the best predictive power for HCC risk in Korean and Caucasian patients with CHB treated with entecavir or tenofovir. Lay summary: Risk scores have been developed to predict the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B. We developed and validated a new risk prediction model using machine learning algorithms in 13,508 antiviral-treated patients with chronic hepatitis B. Our new model, based on 10 common baseline characteristics, demonstrated superior performance in risk stratification compared with previous risk scores. This model also identified a group of patients at minimal risk of developing HCC, who could be indicated for less intensive HCC surveillance. (C) 2021 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.
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