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Review

The best predictive model for hepatocellular carcinoma in patients with chronic hepatitis B infection
Jung Hwan Yu, Soon Gu Cho, Young-Joo Jin, Jin-Woo Lee
Clin Mol Hepatol 2022;28(3):351-361.
Published online November 26, 2021
DOI: https://doi.org/10.3350/cmh.2021.0281
Chronic hepatitis B (CHB) seriously threatens human health. About 820,000 deaths annually are due to related complications such as hepatitis B and hepatocellular carcinoma (HCC). Recently, the use of oral antiviral agents has significantly improved the prognosis of patients with CHB infection and reduced the risk of HCC. However, hepatitis B virus still remains a major factor in the development of HCC, raising many concerns. Therefore, numerous studies have been conducted to assess the risk of HCC in patients with CHB infection and many models have been proposed to predict the risk of developing HCC. However, as each study has different models for predicting HCC development that can be applied depending on the use of antiviral agents or the type of antiviral agents, it is necessary to properly understand characteristics of each model when using it for the evaluation of HCC in patients with CHB infection. In addition, because different variables such as host factor, viral activity, and cirrhosis are used to evaluate the risk of HCC development, it is necessary to assess the risk by carefully verifying which variables are used. Recently, studies have also evaluated the risk of HCC using risk prediction models through transient elastography and artificial intelligence (AI) system. These HCC risk predication models are also noteworthy. In this review, we aimed to compare HCC risk prediction models in patients with CHB infection reported to date to confirm variables used and specificity between each model to determine an appropriate HCC risk prediction method.

Citations

Citations to this article as recorded by  Crossref logo
  • Artificial Intelligence Applications in the Diagnosis, Treatment, and Prognosis of Hepatocellular Carcinoma
    Ming-Ying Lu, Jacky Chung-Hao Wu, Henry Horng-Shing Lu, Mohammed Eslam, Ming-Lung Yu
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    Ho Soo Chun, George V. Papatheodoridis, Minjong Lee, Hye Ah Lee, Yeong Hwa Kim, Seo Hyun Kim, Yun-Seo Oh, Su Jin Park, Jihye Kim, Han Ah Lee, Hwi Young Kim, Tae Hun Kim, Eileen L. Yoon, Dae Won Jun, Sang Hoon Ahn, Vana Sypsa, Cihan Yurdaydin, Pietro Lampe
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    OncoTargets and Therapy.2024; Volume 17: 215.     CrossRef
  • Optimizing care of HBV infection and HBV-related HCC
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    Clinical Liver Disease.2024;[Epub]     CrossRef
  • Risk predictive model for the development of hepatocellular carcinoma before initiating long‐term antiviral therapy in patients with chronic hepatitis B virus infection
    Junjie Chen, Tienan Feng, Qi Xu, Xiaoqi Yu, Yue Han, Demin Yu, Qiming Gong, Yuan Xue, Xinxin Zhang
    Journal of Medical Virology.2024;[Epub]     CrossRef
  • Similar recurrence after curative treatment of HBV-related HCC, regardless of HBV replication activity
    Mi Na Kim, Beom Kyung Kim, Heejin Cho, Myung Ji Goh, Yun Ho Roh, Su Jong Yu, Dong Hyun Sinn, Soo Young Park, Seung Up Kim, Tyng-Yuan Jang
    PLOS ONE.2024; 19(8): e0307712.     CrossRef
  • Viral Load–Based Prediction of Hepatocellular Carcinoma Risk in Noncirrhotic Patients With Chronic Hepatitis B
    Gi-Ae Kim, Young-Suk Lim, Seungbong Han, Gwang Hyeon Choi, Won-Mook Choi, Jonggi Choi, Dong Hyun Sinn, Yong-Han Paik, Jeong-Hoon Lee, Yun Bin Lee, Ju-Yeon Cho, Nae-Yun Heo, Man-Fung Yuen, Vincent Wai-Sun Wong, Stephen L. Chan, Hwai-I Yang, Chien-Jen Chen
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    Journal of Clinical Medicine.2024; 13(24): 7833.     CrossRef
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    Han Ah Lee, Seung Up Kim, Yeon Seok Seo, Sang Hoon Ahn, Chai Hong Rim
    Hepatology Communications.2023; 7(2): e0011.     CrossRef
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    Hao-dan Mao, Shu-qin Zheng, Su-hua Yang, Ze-yu Huang, Yuan Xue, Min Zhou
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    Shen-Yung Wang
    Clinical and Molecular Hepatology.2023; 29(2): 349.     CrossRef
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    Shan Shan, Jidong Jia
    Clinical and Molecular Hepatology.2023; 29(2): 339.     CrossRef
  • CAGE‐B and SAGE‐B models better predict the hepatitis B virus‐related hepatocellular carcinoma after 5‐year entecavir treatment than PAGE‐B
    Hye Yeon Chon, Han Ah Lee, Soo Young Park, Yeon Seok Seo, Sang Gyune Kim, Chang Hun Lee, Tae Hee Lee, Sang Hoon Ahn, Vincent Wai‐Sun Wong, Terry Cheuk‐Fung Yip, Lilian Yan Liang, In Hee Kim, Grace Lai‐Hung Wong, Seung Up Kim
    Journal of Digestive Diseases.2023; 24(2): 113.     CrossRef
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    Beom Kyung Kim, Sang Hoon Ahn
    Journal of the Formosan Medical Association.2023; 122(12): 1238.     CrossRef
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    Xiaoning Wu, Xiaoqian Xu, Jialing Zhou, Yameng Sun, Huiguo Ding, Wen Xie, Guofeng Chen, Anlin Ma, HongXin Piao, Bingqiong Wang, Shuyan Chen, Tongtong Meng, Xiaojuan Ou, Hwai-I Yang, Jidong Jia, Yuanyuan Kong, Hong You
    Clinical and Molecular Hepatology.2023; 29(3): 747.     CrossRef
  • A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B
    Hye Won Lee, Hwiyoung Kim, Taeyun Park, Soo Young Park, Young Eun Chon, Yeon Seok Seo, Jae Seung Lee, Jun Yong park, Do Young Kim, Sang Hoon Ahn, Beom Kyung Kim, Seung Up Kim
    Liver International.2023; 43(8): 1813.     CrossRef
  • Hepatocellular carcinoma surveillance — utilization, barriers and the impact of changing aetiology
    Daniel Q. Huang, Amit G. Singal, Fasiha Kanwal, Pietro Lampertico, Maria Buti, Claude B. Sirlin, Mindie H. Nguyen, Rohit Loomba
    Nature Reviews Gastroenterology & Hepatology.2023; 20(12): 797.     CrossRef
  • Surveillance for hepatocellular carcinoma: It is time to move forward
    Bo Hyun Kim, Yuri Cho, Joong-Won Park
    Clinical and Molecular Hepatology.2022; 28(4): 810.     CrossRef
  • Suboptimal Performance of Hepatocellular Carcinoma Prediction Models in Patients with Hepatitis B Virus-Related Cirrhosis
    Jae Lee, Tae Lim, Hye Lee, Seung Kim, Jun Park, Do Kim, Sang Ahn, Hyun Lee, Jung Lee, Ja Kim, In Min, Beom Kim
    Diagnostics.2022; 13(1): 3.     CrossRef
  • 10,692 View
  • 297 Download
  • 33 Web of Science
  • Crossref

Original Article

Hepatic neoplasm

Surgery versus radiofrequency ablation in patients with Child- Pugh class-A/single small (≤3 cm) hepatocellular carcinoma
Jungnam Lee, Young-Joo Jin, Seung Kak Shin, Jung Hyun Kwon, Sang Gyune Kim, Young Ju Suh, Yujin Jeong, Jung Hwan Yu, Jin-Woo Lee, Oh Sang Kwon, Soon Woo Nahm, Young Seok Kim
Clin Mol Hepatol 2022;28(2):207-218.
Published online November 24, 2021
DOI: https://doi.org/10.3350/cmh.2021.0294
Background/Aims
We compared the post-treatment overall survival (OS) and recurrence-free survival (RFS) between patients with Child-Turcotte-Pugh (CTP) class-A and single small (≤3 cm) hepatocellular carcinoma (HCC) treated by surgical resection (SR) and radiofrequency ablation (RFA).
Methods
We retrospectively analyzed 391 HCC patients with CTP class-A who underwent SR (n=232) or RFA (n=159) as first-line therapy for single small (≤3 cm) HCC. Survival was compared according to the tumor size (≤2 cm/2–3 cm) and the presence of cirrhosis. Inverse probability of treatment weighting (IPW) method was used to estimate the average causal effect of treatment.
Result
s: The median follow-up period was 64.8 months (interquartile range, 0.1–162.6). After IPW, the estimated OS was similar in the SR and RFA groups (P=0.215), and even in patients with HCC of ≤2 cm (P=0.816) and without cirrhosis (P=0.195). The estimated RFS was better in the SR group than in the RFA groups (P=0.005), also in patients without cirrhosis (P<0.001), but not in those with HCC of ≤2 cm (P=0.234). The weighted Cox proportional hazards model with IPW provided adjusted hazard ratios (95% confidence interval) for OS, and the RFS after RFA versus SR were 0.698 (0.396–1.232) (P=0.215) and 1.698 (1.777–2.448) (P=0.005), respectively.
Conclusions
SR was similar for OS compared to RFA, but was better for RFS in patients with CTP class-A and single small (≤3 cm) HCC. The RFS was determined by the presence or absence of cirrhosis. Hence, SR rather than RFA should be considered in patients without cirrhosis to prolong the RFS, although there is no OS difference.

Citations

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  • Suboptimal Performance of Hepatocellular Carcinoma Prediction Models in Patients with Hepatitis B Virus-Related Cirrhosis
    Jae Lee, Tae Lim, Hye Lee, Seung Kim, Jun Park, Do Kim, Sang Ahn, Hyun Lee, Jung Lee, Ja Kim, In Min, Beom Kim
    Diagnostics.2022; 13(1): 3.     CrossRef
  • 9,613 View
  • 232 Download
  • 35 Web of Science
  • Crossref

Guideline

Steatotic liver disease

KASL clinical practice guidelines: Management of nonalcoholic fatty liver disease
Seong Hee Kang, Hye Won Lee, Jeong-Ju Yoo, Yuri Cho, Seung Up Kim, Tae Hee Lee, Byoung Kuk Jang, Sang Gyune Kim, Sang Bong Ahn, Haeryoung Kim, Dae Won Jun, Joon-Il Choi, Do Seon Song, Won Kim, Soung Won Jeong, Moon Young Kim, Hong Koh, Sujin Jeong, Jin-Woo Lee, Yong Kyun Cho, on behalf of The Korean Association for the Study of the Liver (KASL)
Clin Mol Hepatol 2021;27(3):363-401.
Published online June 22, 2021
DOI: https://doi.org/10.3350/cmh.2021.0178

Citations

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Review

Steatotic liver disease

From nonalcoholic fatty liver disease to metabolic-associated fatty liver disease: Big wave or ripple?
Seong Hee Kang, Yuri Cho, Soung Won Jeong, Seung Up Kim, Jin-Woo Lee, On behalf of Korean NAFLD Study Group
Clin Mol Hepatol 2021;27(2):257-269.
Published online March 22, 2021
DOI: https://doi.org/10.3350/cmh.2021.0067
There is some dissatisfaction with the term “nonalcoholic fatty liver disease (NAFLD),” which overemphasizes alcohol and underemphasizes the importance of metabolic risk factors in this disease. Recently, a consensus recommended “metabolic (dysfunction)-associated fatty liver disease (MAFLD)” as a more appropriate term to describe fatty liver diseases (FLD) associated with metabolic dysfunction. During the definition change from NAFLD to MAFLD, subjects with FLD and metabolic abnormalities, together with other etiologies of liver diseases such as alcohol, virus, or medication who have been excluded from the NAFLD criteria, were added to the MAFLD criteria, while subjects with FLD but without metabolic abnormality, who have been included in the NAFLD criteria, were excluded from the MAFLD criteria. This means that there is an emphasis on the metabolic dysfunction in MAFLD which may underestimate the prognostic value of hepatic steatosis itself, whereas the MAFLD criteria might better identify subjects who are at a higher risk of hepatic or cardiovascular outcomes. However, non-metabolic risk NAFLD subjects who are excluded from the MAFLD criteria are missed from the diagnosis, and their potential risk can be the cause of future diseases. Although huge controversies remain, this review focused on summarizing recent studies that compared the clinical and prognostic characteristics between subjects with NAFLD and MAFLD.

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Original Article

Viral hepatitis

Continuing besifovir dipivoxil maleate versus switching from tenofovir disoproxil fumarate for treatment of chronic hepatitis B: Results of 192-week phase 3 trial
Do Seon Song, Won Kim, Sang Hoon Ahn, Hyung Joon Yim, Jae Young Jang, Young Oh Kweon, Yong Kyun Cho, Yoon Jun Kim, Gun Young Hong, Dong Joon Kim, Young Kul Jung, Joo Hyun Sohn, Jin-Woo Lee, Sung Jae Park, Byung Seok Lee, Ju Hyun Kim, Hong Soo Kim, Seung Kew Yoon, Moon Young Kim, Kwan Sik Lee, Young Suk Lim, Wan Sik Lee, Jin Mo Yang, Kyun-Hwan Kim, Kwang-Hyub Han, Soon Ho Um
Clin Mol Hepatol 2021;27(2):346-359.
Published online January 25, 2021
DOI: https://doi.org/10.3350/cmh.2020.0307
Background/Aims
Besifovir dipivoxil maleate (BSV), an acyclic nucleotide phosphonate, shows potent antiviral activity against hepatitis B virus. Our previous 48-week trial revealed that BSV has comparable antiviral efficacy to tenofovir disoproxil fumarate (TDF) and better safety profiles in terms of improved renal and bone safety. This extension study evaluated the prolonged efficacy and safety of BSV in treatment-naive chronic hepatitis B patients.
Methods
Patients continued to participate in an open-label BSV study after an initial 48-week double-blind comparison of BSV and TDF treatment. The antiviral efficacy and drug safety was evaluated up to 192 weeks in two groups: patients continuing BSV treatment (BSV-BSV) and patients switching from TDF to BSV after 48 weeks (TDF-BSV).
Result
s: Among 197 patients receiving randomized treatments, 170 (86%) entered the open-label phase and 152 (77%) entered the 192-week extension study. Virological response rates over 192 weeks were 92.50% and 93.06% in the BSV-BSV and TDF-BSV groups, respectively (P=0.90). Hepatitis B envelop antigen seroconversion and alanine aminotransferase normalization rates were similar between the groups (P=0.75 and P=0.36, respectively). There were no drug-resistant mutations to BSV. Bone mineral density and renal function were well preserved in the BSV-BSV group, whereas these initially worsened then recovered after switching therapy in the TDF-BSV group.
Conclusions
BSV maintained potent antiviral efficacy after 192 weeks and showed no evidence of drug resistance. BSV was safe, well tolerated, and effective in patients who switched from TDF to BSV. Trial Registration Number: NCT01937806 (date: 10 Sep 2013).

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Editorial

Viral hepatitis

How does hepatic steatosis affect the outcome of patients with chronic hepatitis B?
Jung Hwan Yu, Jin-Woo Lee
Clin Mol Hepatol 2019;25(3):280-282.
Published online January 21, 2019
DOI: https://doi.org/10.3350/cmh.2018.0104

Citations

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