Liver fibrosis analysis using digital pathology.

IF 1.2 4区 医学 Q3 PATHOLOGY Medical Molecular Morphology Pub Date : 2024-09-01 Epub Date: 2024-07-09 DOI:10.1007/s00795-024-00395-y
Hisamitsu Miyaaki, Satoshi Miuma, Masanori Fukusima, Ryu Sasaki, Masafumi Haraguchi, Yasuhiko Nakao, Yuko Akazawa, Kazuhiko Nakao
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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.

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利用数字病理学进行肝纤维化分析。
数字病理学实现了病理参数的无创量化。此外,数字病理学与人工智能的结合还能对大量信息进行分析,从而实现信息共享,消除知识空白。纤维化反映了慢性炎症,是病毒性肝炎、代谢功能障碍相关性脂肪肝等慢性肝病最重要的病理参数。有报道称,通过数字病理学对各种纤维化参数进行定量评估,可以预测肝病和肝癌发生的预后。肝纤维化评估方法包括:1 纤维定量、2 弹性蛋白和胶原蛋白定量、3 s谐波发生/双光子激发荧光(SHG/TPE)显微镜和 4 Fibronest™。在这篇综述中,我们概述了数字病理学在肝病纤维化评估中的作用以及近期评估肝纤维化方法的特点。
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来源期刊
Medical Molecular Morphology
Medical Molecular Morphology 医学-病理学
CiteScore
2.90
自引率
5.60%
发文量
30
审稿时长
>12 weeks
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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