Clinical and Molecular Hepatology

"Advanced fibrosis"

Letter to the Editor

Steatotic liver disease

Prevalence of steatotic liver disease and associated fibrosis in the general population: An epidemiological survey: Letter to the editor on “Epidemiology of metabolic dysfunction-associated steatotic liver disease”: Lin Guan, Xinhe Zhang, Shanghao Liu, Xiaolong Qi, Yiling Li; Clin Mol Hepatol 2025;31(2):e145-e148.
Published online October 29, 2024; DOI: https://doi.org/10.3350/cmh.2024.0921

Citations

Citations to this article as recorded by

Integrated serum metabolomics and MRI biomarkers for MASLD: a practical framework for noninvasive staging and monitoring
Hamzah M. Alghzawi, Sweta Sahu, Aditya Rana, Rhobi Mwita, Sri Gundapaneni, Dushyant Dahiya
Abdominal Radiology.2026;[Epub] CrossRef

9,403 View
100 Download
1 Web of Science
Crossref

Correspondence

Steatotic liver disease

Correspondence to editorial on “Optimal cutoffs of vibration-controlled transient elastography and magnetic resonance elastography in diagnosing advanced liver fibrosis in patients with nonalcoholic fatty liver disease: A systematic review and meta-analysis”: Jung Hwan Yu, Seung Up Kim; Clin Mol Hepatol 2025;31(1):e52-e54.
Published online September 24, 2024; DOI: https://doi.org/10.3350/cmh.2024.0815

9,902 View
47 Download

Original Articles

Steatotic liver disease

Optimal cut-offs of vibration-controlled transient elastography and magnetic resonance elastography in diagnosing advanced liver fibrosis in patients with nonalcoholic fatty liver disease: A systematic review and meta-analysis: Young Eun Chon, Young-Joo Jin, Jihyun An, Hee Yeon Kim, Miyoung Choi, Dae Won Jun, Mi Na Kim, Ji Won Han, Han Ah Lee, Jung Hwan Yu, Seung Up Kim; Clin Mol Hepatol 2024;30(Suppl):S117-S133.
Published online August 21, 2024; DOI: https://doi.org/10.3350/cmh.2024.0392

Background/aims
Opinions differ regarding vibration-controlled transient elastography and magnetic resonance elastography (VCTE/MRE) cut-offs for diagnosing advanced fibrosis (AF) in patients with non-alcoholic fatty liver disease (NAFLD). We investigated the diagnostic performance and optimal cut-off values of VCTE and MRE for diagnosing AF.
Methods
Literature databases, including Medline, EMBASE, Cochrane Library, and KoreaMed, were used to identify relevant studies published up to June 13, 2023. We selected studies evaluating VCTE and MRE regarding the degree of liver fibrosis using liver biopsy as the reference. The sensitivity, specificity, and area under receiver operating characteristics curves (AUCs) of the pooled data for VCTE and MRE for each fibrosis stage and optimal cut-offs for AF were investigated.
Results
A total of 19,199 patients from 63 studies using VCTE showed diagnostic AUC of 0.83 (95% confidence interval: 0.80–0.86), 0.83 (0.80–0.86), 0.87 (0.84–0.90), and 0.94 (0.91–0.96) for ≥F1, ≥F2, ≥F3, and F4 stages, respectively. Similarly, 1,484 patients from 14 studies using MRE showed diagnostic AUC of 0.89 (0.86–0.92), 0.92 (0.89–0.94), 0.89 (0.86–0.92), and 0.94 (0.91–0.96) for ≥F1, ≥F2, ≥F3, and F4 stages, respectively. The diagnostic AUC for AF using VCTE was highest at 0.90 with a cut-off of 7.1–7.9 kPa, and that of MRE was highest at 0.94 with a cut-off of 3.62–3.8 kPa.
Conclusions
VCTE (7.1–7.9 kPa) and MRE (3.62–3.8 kPa) with the suggested cut-offs showed favorable accuracy for diagnosing AF in patients with NAFLD. This result will serve as a basis for clinical guidelines for non-invasive tests and differential diagnosis of AF.

Citations

Citations to this article as recorded by

Even Lower Alcohol Intake Might Be Harmful for East Asian Males With MASLD Spectrum
Byungyoon Yun, Juyeon Oh, Heejoo Park, Jian Lee, Beom Kyung Kim, Jin-Ha Yoon
Clinical Gastroenterology and Hepatology.2026; 24(6): 1644. CrossRef
Non-invasive Risk-based Surveillance Strategy for Hepatocellular Carcinoma in Patients with Metabolic Dysfunction-associated Steatotic Liver Disease
Ji Won Han
The Korean Journal of Gastroenterology.2026; 86(1): 62. CrossRef
Liver fibrosis biomarkers as a prognostic tool beyond the defining components in cardiovascular-kidney-metabolic syndrome
Zhenyang Cao, Binyan Chen, Jinghao Zhou, Jijie Jin, Dmitry Abramov, Shengzhang Chen, Pan Huang, Jianghua Zhou
American Journal of Preventive Cardiology.2026; 26: 101438. CrossRef
Diagnostic Value of MR Elastography and MRI‐Proton Density Fat Fraction in Cirrhosis Based on Explant Liver Histology
Eun‐Ki Min, Seung‐seob Kim, Byungsoo Ahn, Deok‐Gie Kim, Dong Jin Joo, Sang Hoon Ahn, Seung Up Kim, Jae Geun Lee
Journal of Gastroenterology and Hepatology.2026; 41(4): 1323. CrossRef
Risk Stratification of Chronic Kidney Disease in Adults Using Noninvasive Fibrosis Tests Based on the American Diabetes Association Algorithm
Chan‐Young Jung, Hye Won Lee, Jung Il Lee, Han Ah Lee, Seung Up Kim
Diabetes, Obesity and Metabolism.2026; 28(6): 5240. CrossRef
Metabolic dysfunction associated steatotic liver disease: mechanisms, diagnosis, and management in adults
Tina Reinson, Josh Bilson, Caroline Childs, Ryan M Buchanan, Giovanni Targher, Christopher D Byrne
BMJ Medicine.2026; 5(1): e002038. CrossRef
Electroacupuncture in the treatment of non-alcoholic fatty liver disease: mechanistic insights and therapeutic potential
Yi Wang, Lai Zhang
Frontiers in Medicine.2026;[Epub] CrossRef
Metabolic Dysfunction‐Associated Steatotic Liver Disease and Obesity: Pathogenesis, Diagnostics, Risk Stratification, and Therapeutic Approach
Beom Kyung Kim
The Kaohsiung Journal of Medical Sciences.2026;[Epub] CrossRef
Liver Fibrosis: Molecular Pathogenesis and Therapeutic Interventions
Jiaorong Qu, Wenqing Qin, Minghang Dong, Zhi Ma, Si Li, Runping Liu, Ranyun Chen, Changmeng Li, Xiaojiaoyang Li
MedComm.2026;[Epub] CrossRef
Evolving B-mode ultrasound-based techniques for assessing metabolic dysfunction-associated steatotic liver disease: Now and beyond
Walaa Abdelhamed, Mohamed Elbadry, Mohamed El-Kassas
Liver Research.2026; 10(2): 109. CrossRef
Gravitational 3D Magnetic Resonance Elastography for Differentiating Focal Nodular Hyperplasia and Hepatic Adenoma
Leon David Gruenewald, Shayan Mansouri, Christian Booz, Jennifer Gotta, Philipp Reschke, Tommaso D’Angelo, Mohamed Alrahmoun, Scherwin Mahmoudi, Simon S. Martin, Katrin Eichler, Tatjana Gruber-Rouh, Stefan Zeuzem, Esra Görgülü, Melis Onay, Eva Herrmann, M
Diagnostics.2026; 16(10): 1569. CrossRef
Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): Clinical Profile, Phenotypes, and Risk Stratification. A Narrative Review
Zalina Yuryevna Sozaeva, Marina Vsevolodovna Atayeva, Elizaveta Olegovna Salatova, Irina Kazbekovna Alikova, Alexandra Evgenievna Dolgaya, Amin Gasaevich Magomedov, Kamilla Ramisovna Hafsi, Nur-Mukhamed Aslanovich Shomakhov, Elena Mukhadinovna Pshukova, Y
Journal of Biochemical Technology.2026; 17(2): 30. CrossRef
Integrative and interpretable machine learning framework for early non-invasive detection of clinically significant liver fibrosis
Dong Cao, Junjie Wang, Chenxi Hou, Jingyu Zeng, Baiyue Tian, Yuan Liu, Xing Luo, Jiaxin Tian, Mingbo Zhou, Pan Li, Huilong Fang, Ze Liu, Zheng Gong
Frontiers in Medicine.2026;[Epub] CrossRef
Rule-Out Cutoff of Two-Dimensional Shear Wave Elastography for Significant Fibrosis in Metabolic Dysfunction–Associated Steatotic Liver Disease: Systematic Review, Meta-Analysis, and External Validation
Joo Hyun Oh, Jonghyun Lee, Miyoung Choi, Kento Imajo, Masato Yoneda, Hideki Fujii, Hyo Young Lee, Eileen L. Yoon, Mimi Kim, Dae Won Jun
Clinical Gastroenterology and Hepatology.2026; 24(9): 2387. CrossRef
Screening for Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease: Evidence, Challenges, and the Role of Imaging—From the AJR Special Series on Screening
Shin Mei Chan, Cheng William Hong, Lael Ceriani, Manish Dhyani, Kathryn J. Fowler, Michael S. Middleton, Theodore T. Pierce, Perry J. Pickhardt, Scott B. Reeder, Anthony E. Samir, Adam Searleman, Dorathy Tamayo-Murillo, Claude B. Sirlin
American Journal of Roentgenology.2026;[Epub] CrossRef
Risk of HCC in Elderly Patients With MASLD: Proposal of an Effective Surveillance Strategy
Young Eun Chon, Kyung‐Do Han, Ju Dong Yang, Ju‐Yeong Park, Hyun‐Seok Kim, Hyung Woong Lee, Tae Seop Lim, Beom Kyung Kim
Journal of Gastroenterology and Hepatology.2026;[Epub] CrossRef
The utility of emerging fibrosis scoring systems in MASLD: A paradigm shift toward non-invasive, multimodal risk stratification beyond histology
Thomas Karlas, Eva Katharina Messer, Johannes Wiegand
Zeitschrift für Gastroenterologie.2026;[Epub] CrossRef
The Use of Ultrasound-Based Elastography Techniques in Liver Fibrosis: A Narrative Review
Arjuna Priyadarsin De Silva, Shashini Madushika Hathurusinghe, Madunil Anuk Niriella, Hithunadura Janaka De Silva
Diagnostics.2026; 16(17): 2694. CrossRef
Correspondence to editorial on “Optimal cut-offs of vibration-controlled transient elastography and magnetic resonance elastography in diagnosing advanced liver fibrosis in patients with nonalcoholic fatty liver disease: a systematic review and meta-analy
Young Eun Chon, Jung Hwan Yu, Seung Up Kim
Clinical and Molecular Hepatology.2025; 31(1): e61. CrossRef
Essential tools for assessing advanced fibrosis in metabolic dysfunction-associated steatotic liver disease: Editorial on “Optimal cut-offs of vibration-controlled transient elastography and magnetic resonance elastography in diagnosing advanced liver fib
Won Sohn
Clinical and Molecular Hepatology.2025; 31(1): 277. CrossRef
Correspondence to editorial on “Optimal cutoffs of vibration-controlled transient elastography and magnetic resonance elastography in diagnosing advanced liver fibrosis in patients with nonalcoholic fatty liver disease: A systematic review and meta-analys
Jung Hwan Yu, Seung Up Kim
Clinical and Molecular Hepatology.2025; 31(1): e52. CrossRef
Towards unification of liver stiffness measurement cutoffs: Editorial on “Optimal cut-offs of vibration-controlled transient elastography and magnetic resonance elastography in diagnosing advanced liver fibrosis in patients with nonalcoholic fatty liver d
Yangyue Zhang, Vincent Wai-Sun Wong
Clinical and Molecular Hepatology.2025; 31(1): 264. CrossRef
Sustainability of General Population Screening for Steatotic Liver Disease: A Proof-of-Concept Study
Laura De Rosa, Gabriele Ricco, Maurizia Rossana Brunetto, Ferruccio Bonino, Francesco Faita
Healthcare.2025; 13(7): 759. CrossRef
Therapeutic Efficacy of Silymarin, Vitamin E, and Essential Phospholipid Combination Therapy on Hepatic Steatosis, Fibrosis, and Metabolic Parameters in MASLD Patients: A Prospective Clinical Study
Dan-Ionuț Gheonea, Cristina Tocia, Victor-Mihai Sacerdoțianu, Alexandra-Georgiana Bocioagă, Irina-Paula Doica, Nicolae Cătălin Manea, Adina Turcu-Știolică, Carmen-Nicoleta Oancea, Eugen Dumitru
International Journal of Molecular Sciences.2025; 26(12): 5427. CrossRef
Deep learning radiomics of elastography for diagnosing compensated advanced chronic liver disease: an international multicenter study
Xue Lu, Haoyan Zhang, Hidekatsu Kuroda, Matteo Garcovich, Victor de Ledinghen, Ivica Grgurević, Runze Linghu, Hong Ding, Jiandong Chang, Min Wu, Cheng Feng, Xinping Ren, Changzhu Liu, Tao Song, Fankun Meng, Yao Zhang, Ye Fang, Sumei Ma, Jinfen Wang, Xiaol
Visual Computing for Industry, Biomedicine, and Art.2025;[Epub] CrossRef
Liver disease in people with latent autoimmune diabetes in adults (LADA): A cross-sectional study using magnetic resonance elastography
Ernesto Maddaloni, Marta Zerunian, Vincenzo Cardinale, Annalisa Zurru, Rocco Amendolara, Daniela Luverà, Renata Risi, Luca D’Onofrio, Benedetta Masci, Francesco Covotta, Damiano Caruso, Domenico Alvaro, Andrea Laghi, Raffaella Buzzetti
Diabetes Research and Clinical Practice.2025; 229: 112465. CrossRef
Paired snRNA-seq and scRNA-seq analysis of MASLD patients to identify early-stage markers for disease progression
Suebin Park, Su-Hyeon Lee, Se-eun Han, Beom Kyung Kim, Byungjin Hwang
Hepatology Communications.2025;[Epub] CrossRef
Lean Metabolic Dysfunction‐Associated Steatotic Liver Disease: A Wolf in Sheep's Clothing
Xixi Fang, Chenhao Xu, Jun Lu, Runzhou Zhuang, Xiao Xu, Xuyong Wei
Cell Biochemistry and Function.2025;[Epub] CrossRef
Mistakes in the utilization of vibration-controlled transient elastography in the evaluation of liver fibrosis: a narrative review
Madunil Anuk Niriella, Uditha Bandara Dassanayake, Charith Priyanga Madurapperuma, Indeewari Prathibha Wijesingha, Arjuna Priyadarshin De Silva, Hithnadura Janaka de Silva
Expert Review of Gastroenterology & Hepatology.2025; 19(12): 1299. CrossRef
Transient Elastography and Fibroscan: Stethoscope of a Hepatologist in Today’s World
Sajid Jalil, Mangesh Pagadala, Nicholas Dunn, Hanna Blaney, Mohamed Elfeki, Nimish Thakral, Ashwani K. Singal
Current Hepatology Reports.2025;[Epub] CrossRef
Comparative analysis of non-invasive fibrosis markers: Insights from chronic HBV, HBV+HDV, and HCV infections
Aziza Saydullaevna Khikmatullaeva, Krestina Stepanovna Brigida, Nargiza Mirzakhidovna Мirrakhimova, Muazzam Alievna Аbdukadirova, Nargiz Sapievna Ibadullaeva, Allabergan Kadirovich Bayjanov, Nataliya Georgiyevna Kan, Malika Erkinovna Khodjaeva, Nargiza An
Infectious Medicine.2025; 4(4): 100220. CrossRef

13,590 View
269 Download
32 Web of Science
Crossref

Viral hepatitis

Advanced fibrosis is not a negative pretreatment predictive factor for genotype 2 or 3 chronic hepatitis C patients: Hyun Seok Lee, Young Oh Kweon, Won Young Tak, Soo Young Park, Eun Jung Kang, Yu Lim Lee, Hae Min Yang, Hyun Woo Park; Clin Mol Hepatol 2013;19(2):148-155.
Published online June 27, 2013; DOI: https://doi.org/10.3350/cmh.2013.19.2.148

Abstract
PDF

Background/Aims

Chronic hepatitis C patients with advanced fibrosis have unsatisfactory sustained virological response (SVR) rates. Few data demonstrating the efficacy of combination therapy in chronic hepatitis C patients with advanced fibrosis in South Korea are available. The purpose of this study was to assess whether the stage of fibrosis impacts the efficacy of combination therapy for chronic hepatitis C.

Methods

We retrospectively reviewed data for a total of 109 patients with chronic hepatitis C, treated with peginterferon alfa and ribavirin. SVR according to the stage of liver fibrosis assessed by pretreatment liver biopsy and genotype results were analyzed.

Results

Data from 66 genotype 1 patients (60.6%) and 43 genotype 2 or 3 patients (39.4%) among the 109 patients were analyzed. SVR rates for the genotype 1 patients were significantly lower for the stage 3-4 group (32.1%) than the stage 0-2 group (78.9%; P<0.001). SVR rates (92.0% for stage 0-2, 77.8% for stage 3-4, P=0.184) of genotype 2 or 3 patients were not significantly different according to fibrosis stage. Likewise, the frequency of adverse events was not significantly different according to fibrosis stage.

Conclusions

Compared to patients without advanced fibrosis, we can anticipate good SVR rates for genotype 2 or 3 patients with advanced fibrosis and they did not show an inferior tolerability for peginterferon and ribavirin combination therpy. Our results suggest that active treatment is needed for genotype 2 or 3 patients with advanced fibrosis.

Citations

Citations to this article as recorded by

Thrombocytopenia in Virus Infections
Matthijs Raadsen, Justin Du Toit, Thomas Langerak, Bas van Bussel, Eric van Gorp, Marco Goeijenbier
Journal of Clinical Medicine.2021; 10(4): 877. CrossRef
Real-world single-center experience with direct-acting antivirals for improvement of the liver fibrosis after chronic hepatitis C treatment
Sun Hee Lee, Hyun Phil Shin, Joung Il Lee
Antiviral Chemistry and Chemotherapy.2020; 28: 204020662097483. CrossRef
Hepatitis C in infection with recombinant strain RF2k/1b of the virus: clinical course and therapy
L. I Nikolaeva, G. V Sapronov, A. V Kolotvin, E. I Samokhvalov, E. A Leybman, L. M Samokhodskaya
Epidemiology and Infectious Diseases.2014; 19(3): 9. CrossRef