Comparison of Non-Invasive Clinical Algorithms for Liver Fibrosis in Patients With Chronic Hepatitis B to Reduce the Need for Liver Biopsy: Application of Enhanced Liver Fibrosis and Mac-2 Binding Protein Glycosylation Isomer

키워드

참고문헌 (36)

1. Rockey DC, "Fibrosis—a common pathway to organ injury and failure", N Engl J Med, 372, pp.1138~1149 (2015)
2. "At last a global response to viral hepatitis" (2020)[URL]
3. Pellicoro A, "Liver fibrosis and repair : immune regulation of wound healing in a solid organ", Nat Rev Immunol, 14, pp.181~194 (2014)
4. Soresi M, "Non invasive tools for the diagnosis of liver cirrhosis", World J Gastroenterol, 20, pp.18131~18150 (2014)
5. Bravo AA, "Liver biopsy", N Engl J Med, 344, pp.495~500 (2001)
6. Rousselet MC, "Sources of variability in histological scoring of chronic viral hepatitis", Hepatology, 41, pp.257~264 (2005)
7. Liu T, "Molecular serum markers of liver fibrosis", Biomark Insights, 7, pp.105~117 (2012)
8. Kim SU, "Clinical application of liver stiffness measurement using transient elastography : a surgical perspective", Digestion, 88, pp.258~265 (2013)
9. Tsochatzis EA, "Elastography for the diagnosis of severity of fibrosis in chronic liver disease : a meta-analysis of diagnostic accuracy", J Hepatol, 54, pp.650~659 (2011)
10. Kim MN, "Increased risk of hepatocellular carcinoma in chronic hepatitis B patients with transient elastography-defined subclinical cirrhosis", Hepatology, 61, pp.1851~1859 (2015)
11. Friedrich-Rust M, "Critical comparison of elastography methods to assess chronic liver disease", Nat Rev Gastroenterol Hepatol, 13, pp.402~411 (2016)
12. Lichtinghagen R, "influence factors and proposed cut-offvalues", J Hepatol, 59, pp.236~242 (2013)
13. Narimatsu H, "Development of M2BPGi : a novel fibrosis serum glyco-biomarker for chronic hepatitis", cirrhosis diagnostics, 2015, pp.12, 683~693
14. Shirabe K, "Mac-2 binding protein glycan isomer(M2BPGi)is a new serum biomarker for assessing liver fibrosis : more than a biomarker of liver fibrosis", J Gastroenterol, 53, pp.819~826 (2018)
15. 조선영, "Mac-2 Binding Protein Glycosylation Isomer: Emerging Non-Invasive Serum Marker for Liver Fibrosis", Annals of Laboratory Medicine, 38(4), pp.289~290 (2018), 대한진단검사의학회
16. Tamaki Nobuharu, "Clinical Utility of Mac-2 Binding Protein Glycosylation Isomer in Chronic Liver Diseases", Annals of Laboratory Medicine, 41(1), pp.16~24 (2021), 대한진단검사의학회[DOI]
17. Jang Se Young, "Diagnostic Efficacy of Serum Mac-2 Binding Protein Glycosylation Isomer and Other Markers for Liver Fibrosis in Non-Alcoholic Fatty Liver Diseases", Annals of Laboratory Medicine, 41(3), pp.302~309 (2021), 대한진단검사의학회[DOI]
18. 문희원, "Usefulness of Enhanced Liver Fibrosis, Glycosylation Isomer of Mac-2 Binding Protein, Galectin-3, and Soluble Suppression of Tumorigenicity 2 for Assessing Liver Fibrosis in Chronic Liver Diseases", Annals of Laboratory Medicine, 38(4), pp.331~337 (2018), 대한진단검사의학회
19. Dong Wook Jekarl, "Diagnosis of Liver Fibrosis With Wisteria floribunda Agglutinin-Positive Mac-2 Binding Protein (WFAM2BP) Among Chronic Hepatitis B Patients", Annals of Laboratory Medicine, 38(4), pp.348~354 (2018), 대한진단검사의학회
20. Castéra L, "Prospective comparison of two algorithms combining non-invasive methods for staging liver fibrosis in chronic hepatitis C", J Hepatol, 52, pp.191~198 (2010)
21. Wong GL, "Non-invasive algorithm of enhanced liver fibrosis and liver stiffness measurement with transient elastography for advanced liver fibrosis in chronic hepatitis B", Aliment Pharmacol Ther, 39, pp.197~208 (2014)
22. Petta S, "The combination of liver stiffness measurement and NAFLD fibrosis score improves the noninvasive diagnostic accuracy for severe liver fibrosis in patients with nonalcoholic fatty liver disease", Liver Int, 35, pp.1566~1573 (2015)
23. Calès P, "Liver fibrosis diagnosis by blood test and elastography in chronic hepatitis C : agreement or combination?", Aliment Pharmacol Ther, 45, pp.991~1003 (2017)
24. European Association for Study of Liver, "EASL-ALEH Clinical Practice Guidelines: non-invasive tests for evaluation of liver disease severity and prognosis", J Hepatol, 63, pp.237~264 (2015)
25. Tapper EB, "Use of liver imaging and biopsy in clinical practice", N Engl J Med, 377, pp.2296~2297 (2017)
26. Yoneda M, "Clinical strategy of diagnosing and following patients with nonalcoholic fatty liver disease based on invasive and noninvasive methods", J Gastroenterol, 53, pp.181~196 (2018)
27. "Nonalcoholic Fatty Liver Disease Clinical Practice Guidelines 2021" (2021)[URL]
28. Sterling RK, "Development of a simple noninvasive index to predict significant fibrosis in patients with HIV", HCV coinfection, 2006, pp.43, 1317~1325
29. Kuno A, "A serum"sweet-doughnut"protein facilitates fibrosis evaluation and therapy assessment in patients with viral hepatitis", Sci Rep, 3, pp.1065~ (2013)
30. Sim J, "The kappa statistic in reliability studies: use, interpretation, and sample size requirements", Phys Ther, 85, pp.257~268 (2005)
31. Inadomi C, "Accuracy of the enhanced liver fibrosis test, and combination of the enhanced liver fibrosis and non-invasive tests for the diagnosis of advanced liver fibrosis in patients with non-alcoholic fatty liver disease", Hepatol Res, 50, pp.682~692 (2020)
32. Boursier J, "A stepwise algorithm using an at-a-glance first-line test for the non-invasive diagnosis of advanced liver fibrosis and cirrhosis", J Hepatol, 66, pp.1158~1165 (2017)
33. Ellis EL, "Clinical evidence for the regression of liver fibrosis", J Hepatol, 56, pp.1171~1180 (2012)
34. Marcellin P, "Regression of cirrhosis during treatment with tenofovir disoproxil fumarate for chronic hepatitis B : a 5 year open-label follow up study", Lancet, 381, pp.468~475 (2013)
35. Faul F, "G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences", Behav Res Methods, 39, pp.175~191 (2007)
36. 김혜영, "Statistical notes for clinical researchers: Sample size calculation 2. Comparison of two independent proportions", Restorative Dentistry and Endodontics, 41(2), pp.154~156 (2016), 대한치과보존학회

관련 논문AI추천