과제정보
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
참고문헌
- Schuppan D, Afdhal NH. Liver cirrhosis. Lancet 2008;371:838-851 https://doi.org/10.1016/S0140-6736(08)60383-9
- 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;45:529-538 https://doi.org/10.1016/j.jhep.2006.05.013
- Bosch FX, Ribes J, Cleries R, Diaz M. Epidemiology of hepatocellular carcinoma. Clin Liver Dis 2005;9:191-211 https://doi.org/10.1016/j.cld.2004.12.009
- Fattovich G, Stroffolini T, Zagni I, Donato F. Hepatocellular carcinoma in cirrhosis: incidence and risk factors. Gastroenterology 2004;127:S35-S50 https://doi.org/10.1053/j.gastro.2004.09.014
- Ghany MG, Strader DB, Thomas DL, Seeff LB; American Association for the Study of Liver Diseases. Diagnosis, management, and treatment of hepatitis C: an update. Hepatology 2009;49:1335-1374 https://doi.org/10.1002/hep.22759
- Serpaggi J, Carnot F, Nalpas B, Canioni D, Guechot J, Lebray P, et al. Direct and indirect evidence for the reversibility of cirrhosis. Hum Pathol 2006;37:1519-1526 https://doi.org/10.1016/j.humpath.2006.07.007
- Dufour JF, DeLellis R, Kaplan MM. Regression of hepatic fibrosis in hepatitis C with long-term interferon treatment. Dig Dis Sci 1998;43:2573-2576 https://doi.org/10.1023/A:1026601904609
- Manning DS, Afdhal NH. Diagnosis and quantitation of fibrosis. Gastroenterology 2008;134:1670-1681 https://doi.org/10.1053/j.gastro.2008.03.001
- Rockey DC, Caldwell SH, Goodman ZD, Nelson RC, Smith AD; American Association for the Study of Liver Diseases. Liver biopsy. Hepatology 2009;49:1017-1044 https://doi.org/10.1002/hep.22742
- Strauss S, Gavish E, Gottlieb P, Katsnelson L. Interobserver and intraobserver variability in the sonographic assessment of fatty liver. AJR Am J Roentgenol 2007;189:W320-W323 https://doi.org/10.2214/AJR.07.2123
- Berzigotti A, Castera L. Update on ultrasound imaging of liver fibrosis. J Hepatol 2013;59:180-182 https://doi.org/10.1016/j.jhep.2012.12.028
- Tchelepi H, Ralls PW, Radin R, Grant E. Sonography of diffuse liver disease. J Ultrasound Med 2002;21:1023-1032 https://doi.org/10.7863/jum.2002.21.9.1023
- Ahn SJ, Lee JM, Chang W, Lee SM, Kang HJ, Yang H, et al. Prospective validation of intra- and interobserver reproducibility of a new point shear wave elastographic technique for assessing liver stiffness in patients with chronic liver disease. Korean J Radiol 2017;18:926-935 https://doi.org/10.3348/kjr.2017.18.6.926
- Ferraioli G, Parekh P, Levitov AB, Filice C. Shear wave elastography for evaluation of liver fibrosis. J Ultrasound Med 2014;33:197-203 https://doi.org/10.7863/ultra.33.2.197
- Ferraioli G, Tinelli C, Zicchetti M, Above E, Poma G, Di Gregorio M, et al. Reproducibility of real-time shear wave elastography in the evaluation of liver elasticity. Eur J Radiol 2012;81:3102-3106 https://doi.org/10.1016/j.ejrad.2012.05.030
- Shen QL, Chen YJ, Wang ZM, Zhang TC, Pang WB, Shu J, et al. Assessment of liver fibrosis by Fibroscan as compared to liver biopsy in biliary atresia. World J Gastroenterol 2015;21:6931-6936 https://doi.org/10.3748/wjg.v21.i22.6931
- Srinivasa Babu A, Wells ML, Teytelboym OM, Mackey JE, Miller FH, Yeh BM, et al. Elastography in chronic liver disease: modalities, techniques, limitations, and future directions. Radiographics 2016;36:1987-2006 https://doi.org/10.1148/rg.2016160042
- Barr RG, Ferraioli G, Palmeri ML, Goodman ZD, Garcia-Tsao G, Rubin J, et al. Elastography assessment of liver fibrosis: society of radiologists in ultrasound consensus conference statement. Radiology 2015;276:845-861 https://doi.org/10.1148/radiol.2015150619
- Jeong WK, Lim HK, Lee HK, Jo JM, Kim Y. Principles and clinical application of ultrasound elastography for diffuse liver disease. Ultrasonography 2014;33:149-160 https://doi.org/10.14366/usg.14003
- Ahn SJ, Kim JH, Park SJ, Han JK. Prediction of the therapeutic response after FOLFOX and FOLFIRI treatment for patients with liver metastasis from colorectal cancer using computerized CT texture analysis. Eur J Radiol 2016;85:1867-1874 https://doi.org/10.1016/j.ejrad.2016.08.014
- Choi TW, Kim JH, Park SJ, Ahn SJ, Joo I, Han JK. Risk stratification of gallbladder polyps larger than 10 mm using high-resolution ultrasonography and texture analysis. Eur Radiol 2018;28:196-205 https://doi.org/10.1007/s00330-017-4954-1
- Park HJ, Kim JH, Choi SY, Lee ES, Park SJ, Byun JY, et al. Prediction of therapeutic response of hepatocellular carcinoma to transcatheter arterial chemoembolization based on pretherapeutic dynamic CT and textural findings. AJR Am J Roentgenol 2017;209:W211-W220 https://doi.org/10.2214/AJR.16.17398
- Liu L, Liu Y, Xu L, Li Z, Lv H, Dong N, et al. Application of texture analysis based on apparent diffusion coefficient maps in discriminating different stages of rectal cancer. J Magn Reson Imaging 2017;45:1798-1808 https://doi.org/10.1002/jmri.25460
- Jalil O, Afaq A, Ganeshan B, Patel UB, Boone D, Endozo R, et al. Magnetic resonance based texture parameters as potential imaging biomarkers for predicting long-term survival in locally advanced rectal cancer treated by chemoradiotherapy. Colorectal Dis 2017;19:349-362 https://doi.org/10.1111/codi.13496
- Kvostikov AV, Krylov AS, Kamalov UR. Ultrasound image texture analysis for liver fibrosis stage diagnostics. Program Comput Soft 2015;41:273-278 https://doi.org/10.1134/S0361768815050059
- Wu Z, Matsui O, Kitao A, Kozaka K, Koda W, Kobayashi S, et al. Hepatitis C related chronic liver cirrhosis: feasibility of texture analysis of MR images for classification of fibrosis stage and necroinflammatory activity grade. PLoS One 2015;10:e0118297
- Vallet-Pichard A, Mallet V, Nalpas B, Verkarre V, Nalpas A, Dhalluin-Venier V, et al. FIB-4: an inexpensive and accurate marker of fibrosis in HCV infection. comparison with liver biopsy and fibrotest. Hepatology 2007;46:32-36 https://doi.org/10.1002/hep.21669
- Sterling RK, Lissen E, Clumeck N, Sola R, Correa MC, Montaner J, et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology 2006;43:1317-1325 https://doi.org/10.1002/hep.21178
- Sumida Y, Yoneda M, Hyogo H, Itoh Y, Ono M, Fujii H, et al. Validation of the FIB4 index in a Japanese nonalcoholic fatty liver disease population. BMC Gastroenterol 2012;12:2
- Shah AG, Lydecker A, Murray K, Tetri BN, Contos MJ, Sanyal AJ; Nash Clinical Research Network. Comparison of noninvasive markers of fibrosis in patients with nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol 2009;7:1104-1112
- Castellano G, Bonilha L, Li LM, Cendes F. Texture analysis of medical images. Clin Radiol 2004;59:1061-1069 https://doi.org/10.1016/j.crad.2004.07.008
- Yin Z, Zou J, Li Q, Chen L. Diagnostic value of FIB-4 for liver fibrosis in patients with hepatitis B: a metaanalysis of diagnostic test. Oncotarget 2017;8:22944-22953 https://doi.org/10.18632/oncotarget.14430
- Chrostek L, Przekop D, Gruszewska E, Gudowska-Sawczuk M, Cylwik B. Noninvasive indirect markers of liver fibrosis in alcoholics. Biomed Res Int 2019;2019:3646975
- Bedossa P; French METAVIR Cooperative Study Group. Intraobserver and interobserver variations in liver biopsy interpretation in patients with chronic hepatitis C. Hepatology 1994;20:15-20 https://doi.org/10.1002/hep.1840200104
- Choi KJ, Jang JK, Lee SS, Sung YS, Shim WH, Kim HS, et al. Development and validation of a deep learning system for staging liver fibrosis by using contrast agent-enhanced CT images in the liver. Radiology 2018;289:688-697 https://doi.org/10.1148/radiol.2018180763
- Lubner MG, Malecki K, Kloke J, Ganeshan B, Pickhardt PJ. Texture analysis of the liver at MDCT for assessing hepatic fibrosis. Abdom Radiol (NY) 2017;42:2069-2078 https://doi.org/10.1007/s00261-017-1096-5
- Lee CH, Choi JW, Kim KA, Seo TS, Lee JM, Park CM. Usefulness of standard deviation on the histogram of ultrasound as a quantitative value for hepatic parenchymal echo texture; preliminary study. Ultrasound Med Biol 2006;32:1817-1826 https://doi.org/10.1016/j.ultrasmedbio.2006.06.014
- Materka A, Strzelecki M. Texture analysis methods-a review. Technical university of lodz, institute of electronics, COST B11 report. Brussels: Technical University of Lodz 1998
- Jaffer OS, Lung PFC, Bosanac D, Patel VM, Ryan SM, Heneghan MA, et al. Acoustic radiation force impulse quantification: repeatability of measurements in selected liver segments and influence of age, body mass index and liver capsule-to-box distance. Br J Radiol 2012;85:e858-e863 https://doi.org/10.1259/bjr/74797353
- Choong CC, Venkatesh SK, Siew EP. Accuracy of routine clinical ultrasound for staging of liver fibrosis. J Clin Imaging Sci 2012;2:58