{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T14:19:00Z","timestamp":1792592340052,"version":"4.5.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T00:00:00Z","timestamp":1720483200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T00:00:00Z","timestamp":1720483200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Mol Morphol"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s00795-024-00395-y","type":"journal-article","created":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T10:02:08Z","timestamp":1720519328000},"page":"161-166","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Liver fibrosis analysis using digital pathology"],"prefix":"10.1007","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8067-4376","authenticated-orcid":false,"given":"Hisamitsu","family":"Miyaaki","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Satoshi","family":"Miuma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masanori","family":"Fukusima","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryu","family":"Sasaki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masafumi","family":"Haraguchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasuhiko","family":"Nakao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuko","family":"Akazawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kazuhiko","family":"Nakao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,9]]},"reference":[{"key":"395_CR1","unstructured":"GLOBOCAN 2020 https:\/\/gco.iarc.fr\/today\/ data\/factsheets\/cancers\/11-Liver-fact- sheet.pdf"},{"key":"395_CR2","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1309\/D7AU-EYW7-4B6C-K08Y","volume":"114","author":"MJ O\u2019Brien","year":"2000","unstructured":"O\u2019Brien MJ, Keating NM, Elderiny S, Cerda S, Keaveny AP, Afdhal NH, Nunes DP (2000) An assessment of digital image analysis to measure fibrosis in liver biopsy specimens of patients with chronic hepatitis C. Am J Clin Pathol 114:712\u2013718","journal-title":"Am J Clin Pathol"},{"key":"395_CR3","doi-asserted-by":"publisher","first-page":"1236","DOI":"10.1002\/hep.22745","volume":"49","author":"V Calvaruso","year":"2009","unstructured":"Calvaruso V, Burroughs AK, Standish R, Manousou P, Grillo F, Leandro G, Maimone S, Pleguezuelo M, Xirouchakis I, Guerrini GP, Patch D, Yu D, O\u2019Beirne J, Dhillon AP (2009) Computer-assisted image analysis of liver collagen: relationship to Ishak scoring and hepatic venous pressure gradient. Hepatology 49:1236\u20131244","journal-title":"Hepatology"},{"key":"395_CR4","doi-asserted-by":"publisher","first-page":"1249","DOI":"10.1111\/liv.12184","volume":"33","author":"Y Huang","year":"2013","unstructured":"Huang Y, de Boer WB, Adams LA, MacQuillan G, Rossi E, Rigby P, Raftopoulos SC, Bulsara M, Jeffrey GP (2013) Image analysis of liver collagen using sirius red is more accurate and correlates better with serum fibrosis markers than trichrome. Liver Int 33:1249\u20131256","journal-title":"Liver Int"},{"key":"395_CR5","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1097\/PAS.0000000000000948","volume":"42","author":"S Mukhopadhyay","year":"2018","unstructured":"Mukhopadhyay S, Feldman MD, Abels E, Ashfaq R, Beltaifa S, Cacciabeve NG, Cathro HP, Cheng L, Cooper K, Dickey GE, Gill RM, Heaton RP Jr, Kerstens R, Lindberg GM, Malhotra RK, Mandell JW, Manlucu ED, Mills AM, Mills SE, Moskaluk CA, Nelis M, Patil DT, Przybycin CG, Reynolds JP, Rubin BP, Saboorian MH, Salicru M, Samols MA, Sturgis CD, Turner KO, Wick MR, Yoon JY, Zhao P, Taylor CR (2018) Whole slide imaging versus microscopy for primary diagnosis in surgical pathology: a multicenter blinded randomized noninferiority study of 1992 cases (Pivotal Study). Am J Surg Pathol 42:39\u201352","journal-title":"Am J Surg Pathol"},{"key":"395_CR6","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1111\/apt.16100","volume":"53","author":"D Marti-Aguado","year":"2021","unstructured":"Marti-Aguado D, Rodriguez-Ortega A, Mestre-Alagarda C, Bauza M, Valero-Perez E, Alfaro-Cervello C, Benlloch S, Perez-Rojas J, Ferrandez A, Alemany-Monraval P, Escudero-Garcia D, Monton C, Aguilera V, Alberich-Bayarri A, Serra MA, Marti-Bonmati L (2021) Digital pathology: accurate technique for quantitative assessment of histological features in metabolic-associated fatty liver disease. Aliment Pharmacol Ther 53:160\u2013171","journal-title":"Aliment Pharmacol Ther"},{"key":"395_CR7","doi-asserted-by":"publisher","first-page":"1825","DOI":"10.1113\/JP281061","volume":"600","author":"DR Kamm","year":"2022","unstructured":"Kamm DR, McCommis KS (2022) Hepatic stellate cells in physiology and pathology. J Physiol 600:1825\u20131837","journal-title":"J Physiol"},{"key":"395_CR8","doi-asserted-by":"publisher","DOI":"10.1002\/eji.202149641","volume":"54","author":"K Mladenic","year":"2024","unstructured":"Mladenic K, Lenartic M, Marinovic S, Polic B, Wensveen FM (2024) The \u201cDomino effect\u201d in MASLD: the inflammatory cascade of steatohepatitis. Eur J Immunol 54:e2149641","journal-title":"Eur J Immunol"},{"key":"395_CR9","doi-asserted-by":"publisher","first-page":"2263","DOI":"10.1001\/jama.2015.5370","volume":"313","author":"ME Rinella","year":"2015","unstructured":"Rinella ME (2015) Nonalcoholic fatty liver disease: a systematic review. JAMA 313:2263\u20132273","journal-title":"JAMA"},{"key":"395_CR10","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1016\/S0140-6736(14)60121-5","volume":"383","author":"EA Tsochatzis","year":"2014","unstructured":"Tsochatzis EA, Bosch J, Burroughs AK (2014) Liver cirrhosis. Lancet 383:1749\u20131761","journal-title":"Lancet"},{"key":"395_CR11","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1146\/annurev-pathol-011110-130246","volume":"6","author":"V Hernandez-Gea","year":"2011","unstructured":"Hernandez-Gea V, Friedman SL (2011) Pathogenesis of liver fibrosis. Annu Rev Pathol 6:425\u2013456","journal-title":"Annu Rev Pathol"},{"key":"395_CR12","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1007\/s12072-022-10340-9","volume":"16","author":"Y Nakamura","year":"2022","unstructured":"Nakamura Y, Miyaaki H, Miuma S, Akazawa Y, Fukusima M, Sasaki R, Haraguchi M, Soyama A, Hidaka M, Eguchi S, Nakao K (2022) Automated fibrosis phenotyping of liver tissue from non-tumor lesions of patients with and without hepatocellular carcinoma after liver transplantation for non-alcoholic fatty liver disease. Hepatol Int 16:555\u2013561","journal-title":"Hepatol Int"},{"key":"395_CR13","doi-asserted-by":"publisher","first-page":"1399","DOI":"10.1016\/j.jhep.2022.06.018","volume":"77","author":"NV Naoumov","year":"2022","unstructured":"Naoumov NV, Brees D, Loeffler J, Chng E, Ren Y, Lopez P, Tai D, Lamle S, Sanyal AJ (2022) Digital pathology with artificial intelligence analyses provides greater insights into treatment-induced fibrosis regression in NASH. J Hepatol 77:1399\u20131409","journal-title":"J Hepatol"},{"key":"395_CR14","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1002\/hep.32220","volume":"75","author":"P Konigshofer","year":"2022","unstructured":"Konigshofer P, Hofer BS, Brusilovskaya K, Simbrunner B, Petrenko O, Woran K, Herac M, Stift J, Lampichler K, Timelthaler G, Bauer D, Hartl L, Robl B, Sibila M, Podesser BK, Oberhuber G, Schwabl P, Mandorfer M, Trauner M, Reiberger T (2022) Distinct structural and dynamic components of portal hypertension in different animal models and human liver disease etiologies. Hepatology 75:610\u2013662","journal-title":"Hepatology"},{"key":"395_CR15","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1097\/HEP.0000000000000723","volume":"80","author":"V Ratziu","year":"2023","unstructured":"Ratziu V, Francque S, Behling CA, Cejvanovic V, Cortez-Pinto H, Iyer JS, Krarup N, Le Q, Sejling AS, Tiniakos D, Harrison SA (2023) Artificial intelligence scoring of liver biopsies in a phase II trial of semaglutide in nonalcoholic steatohepatitis. Hepatology 80:173\u2013185","journal-title":"Hepatology"},{"key":"395_CR16","first-page":"489","volume":"33","author":"J Kanta","year":"1990","unstructured":"Kanta J, Velebny V, Mergancova J, Ettlerova E, Chlumska A (1990) Elastin content in human fibrotic and cirrhotic liver. Sb Ved Pr Lek Fak Karlovy Univerzity Hradci Kralove 33:489\u2013494","journal-title":"Sb Ved Pr Lek Fak Karlovy Univerzity Hradci Kralove"},{"key":"395_CR17","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/BF02190534","volume":"417","author":"P Bedossa","year":"1990","unstructured":"Bedossa P, Lemaigre G, Paraf F, Martin E (1990) Deposition and remodelling of elastic fibres in chronic hepatitis. Virchows Arch A Pathol Anat Histopathol 417:159\u2013162","journal-title":"Virchows Arch A Pathol Anat Histopathol"},{"key":"395_CR18","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1111\/j.1365-2559.1980.tb02943.x","volume":"4","author":"PJ Scheuer","year":"1980","unstructured":"Scheuer PJ, Maggi G (1980) Hepatic fibrosis and collapse: histological distinction by orecin staining. Histopathology 4:487\u2013490","journal-title":"Histopathology"},{"key":"395_CR19","first-page":"468","volume":"106","author":"SN Thung","year":"1982","unstructured":"Thung SN, Gerber MA (1982) The formation of elastic fibers in livers with massive hepatic necrosis. Arch Pathol Lab Med 106:468\u2013469","journal-title":"Arch Pathol Lab Med"},{"key":"395_CR20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0154558","volume":"11","author":"Y Yasui","year":"2016","unstructured":"Yasui Y, Abe T, Kurosaki M, Higuchi M, Komiyama Y, Yoshida T, Hayashi T, Kuwabara K, Takaura K, Nakakuki N, Takada H, Tamaki N, Suzuki S, Nakanishi H, Tsuchiya K, Itakura J, Takahashi Y, Hashiguchi A, Sakamoto M, Izumi N (2016) Elastin fiber accumulation in liver correlates with the development of hepatocellular carcinoma. PLoS One 11:e0154558","journal-title":"PLoS One"},{"key":"395_CR21","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1111\/his.13499","volume":"73","author":"TJ Kendall","year":"2018","unstructured":"Kendall TJ, Dolman GE, Duff CM, Paish EC, Zaitoun A, Irving W, Fallowfield JA, Guha IN (2018) Hepatic elastin content is predictive of adverse outcome in advanced fibrotic liver disease. Histopathology 73:90\u2013100","journal-title":"Histopathology"},{"key":"395_CR22","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1111\/hepr.13484","volume":"50","author":"J Maehara","year":"2020","unstructured":"Maehara J, Masugi Y, Abe T, Tsujikawa H, Kurebayashi Y, Ueno A, Ojima H, Okuda S, Jinzaki M, Shinoda M, Kitagawa Y, Oda Y, Honda H, Sakamoto M (2020) Quantification of intratumoral collagen and elastin fibers within hepatocellular carcinoma tissues finds correlations with clinico-patho-radiological features. Hepatol Res 50:607\u2013619","journal-title":"Hepatol Res"},{"key":"395_CR23","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1002\/hep4.1121","volume":"2","author":"Y Masugi","year":"2018","unstructured":"Masugi Y, Abe T, Tsujikawa H, Effendi K, Hashiguchi A, Abe M, Imai Y, Hino K, Hige S, Kawanaka M, Yamada G, Kage M, Korenaga M, Hiasa Y, Mizokami M, Sakamoto M (2018) Quantitative assessment of liver fibrosis reveals a nonlinear association with fibrosis stage in nonalcoholic fatty liver disease. Hepatol Commun 2:58\u201368","journal-title":"Hepatol Commun"},{"key":"395_CR24","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.jhep.2009.12.009","volume":"52","author":"L Gailhouste","year":"2010","unstructured":"Gailhouste L, Le Grand Y, Odin C, Guyader D, Turlin B, Ezan F, Desille Y, Guilbert T, Bessard A, Fremin C, Theret N, Baffet G (2010) Fibrillar collagen scoring by second harmonic microscopy: a new tool in the assessment of liver fibrosis. J Hepatol 52:398\u2013406","journal-title":"J Hepatol"},{"key":"395_CR25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0199166","volume":"13","author":"PE Chang","year":"2018","unstructured":"Chang PE, Goh GBB, Leow WQ, Shen L, Lim KH, Tan CK (2018) Second harmonic generation microscopy provides accurate automated staging of liver fibrosis in patients with non-alcoholic fatty liver disease. PLoS One 13:e0199166","journal-title":"PLoS One"},{"key":"395_CR26","doi-asserted-by":"publisher","first-page":"12962","DOI":"10.1038\/srep12962","volume":"5","author":"TH Wang","year":"2015","unstructured":"Wang TH, Chen TC, Teng X, Liang KH, Yeh CT (2015) Automated biphasic morphological assessment of hepatitis B-related liver fibrosis using second harmonic generation microscopy. Sci Rep 5:12962","journal-title":"Sci Rep"},{"key":"395_CR27","doi-asserted-by":"publisher","first-page":"6384","DOI":"10.1038\/s41598-023-33567-4","volume":"13","author":"L Gole","year":"2023","unstructured":"Gole L, Liu F, Ong KH, Li L, Han H, Young D, Marini GPL, Wee A, Zhao J, Rao H, Yu W, Wei L (2023) Quantitative image-based collagen structural features predict the reversibility of hepatitis C virus-induced liver fibrosis post antiviral therapies. Sci Rep 13:6384","journal-title":"Sci Rep"},{"key":"395_CR28","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.cmpb.2019.01.008","volume":"170","author":"Y Zheng","year":"2019","unstructured":"Zheng Y, Jiang Z, Zhang H, Xie F, Shi J, Xue C (2019) Adaptive color deconvolution for histological WSI normalization. Comput Methods Prog Biomed 170:107\u2013120","journal-title":"Comput Methods Prog Biomed"},{"key":"395_CR29","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.jhep.2023.10.015","volume":"80","author":"V Ratziu","year":"2024","unstructured":"Ratziu V, Hompesch M, Petitjean M, Serdjebi C, Iyer JS, Parwani AV, Tai D, Bugianesi E, Cusi K, Friedman SL, Lawitz E, Romero-Gomez M, Schuppan D, Loomba R, Paradis V, Behling C, Sanyal AJ (2024) Artificial intelligence-assisted digital pathology for non-alcoholic steatohepatitis: current status and future directions. J Hepatol 80:335\u2013351","journal-title":"J Hepatol"},{"key":"395_CR30","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1111\/liv.15768","volume":"44","author":"A Watson","year":"2024","unstructured":"Watson A, Petitjean L, Petitjean M, Pavlides M (2024) Liver fibrosis phenotyping and severity scoring by quantitative image analysis of biopsy slides. Liver Int 44:399\u2013410","journal-title":"Liver Int"}],"container-title":["Medical Molecular Morphology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00795-024-00395-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00795-024-00395-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00795-024-00395-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T18:31:00Z","timestamp":1724437860000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00795-024-00395-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,9]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["395"],"URL":"https:\/\/doi.org\/10.1007\/s00795-024-00395-y","relation":{},"ISSN":["1860-1480","1860-1499"],"issn-type":[{"value":"1860-1480","type":"print"},{"value":"1860-1499","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,9]]},"assertion":[{"value":"24 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}