{"title":"Liver fibrosis analysis using digital pathology.","authors":"Hisamitsu Miyaaki, Satoshi Miuma, Masanori Fukusima, Ryu Sasaki, Masafumi Haraguchi, Yasuhiko Nakao, Yuko Akazawa, Kazuhiko Nakao","doi":"10.1007/s00795-024-00395-y","DOIUrl":null,"url":null,"abstract":"<p><p>Digital pathology has enabled the noninvasive quantification of pathological parameters. In addition, the combination of digital pathology and artificial intelligence has enabled the analysis of a vast amount of information, leading to the sharing of much information and the elimination of knowledge gaps. Fibrosis, which reflects chronic inflammation, is the most important pathological parameter in chronic liver diseases, such as viral hepatitis and metabolic dysfunction-associated steatotic liver disease. It has been reported that the quantitative evaluation of various fibrotic parameters by digital pathology can predict the prognosis of liver disease and hepatocarcinogenesis. Liver fibrosis evaluation methods include 1 fiber quantification, 2 elastin and collagen quantification, 3 s harmonic generation/two photon excitation fluorescence (SHG/TPE) microscopy, and 4 Fibronest™.<sup>.</sup> In this review, we provide an overview of role of digital pathology on the evaluation of fibrosis in liver disease and the characteristics of recent methods to assess liver fibrosis.</p>","PeriodicalId":18338,"journal":{"name":"Medical Molecular Morphology","volume":" ","pages":"161-166"},"PeriodicalIF":1.2000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical Molecular Morphology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00795-024-00395-y","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/9 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Digital pathology has enabled the noninvasive quantification of pathological parameters. In addition, the combination of digital pathology and artificial intelligence has enabled the analysis of a vast amount of information, leading to the sharing of much information and the elimination of knowledge gaps. Fibrosis, which reflects chronic inflammation, is the most important pathological parameter in chronic liver diseases, such as viral hepatitis and metabolic dysfunction-associated steatotic liver disease. It has been reported that the quantitative evaluation of various fibrotic parameters by digital pathology can predict the prognosis of liver disease and hepatocarcinogenesis. Liver fibrosis evaluation methods include 1 fiber quantification, 2 elastin and collagen quantification, 3 s harmonic generation/two photon excitation fluorescence (SHG/TPE) microscopy, and 4 Fibronest™.. In this review, we provide an overview of role of digital pathology on the evaluation of fibrosis in liver disease and the characteristics of recent methods to assess liver fibrosis.
期刊介绍：
Medical Molecular Morphology is an international forum for researchers in both basic and clinical medicine to present and discuss new research on the structural mechanisms and the processes of health and disease at the molecular level. The structures of molecules, organelles, cells, tissues, and organs determine their normal function. Disease is thus best understood in terms of structural changes in these different levels of biological organization, especially in molecules and molecular interactions as well as the cellular localization of chemical components. Medical Molecular Morphology welcomes articles on basic or clinical research in the fields of cell biology, molecular biology, and medical, veterinary, and dental sciences using techniques for structural research such as electron microscopy, confocal laser scanning microscopy, enzyme histochemistry, immunohistochemistry, radioautography, X-ray microanalysis, and in situ hybridization.
Manuscripts submitted for publication must contain a statement to the effect that all human studies have been reviewed by the appropriate ethics committee and have therefore been performed in accordance with the ethical standards laid down in an appropriate version of the 1964 Declaration of Helsinki. It should also be stated clearly in the text that all persons gave their informed consent prior to their inclusion in the study. Details that might disclose the identity of the subjects under study should be omitted.
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