• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用qFibrosis的人工智能数字病理学显示慢性乙型和丙型肝炎病毒反应患者纤维化消退的异质性。

AI Digital Pathology Using qFibrosis Shows Heterogeneity of Fibrosis Regression in Patients with Chronic Hepatitis B and C with Viral Response.

作者信息

Liu Feng, Sun Yameng, Tai Dean, Ren Yayun, Chng Elaine L K, Wee Aileen, Bedossa Pierre, Huang Rui, Wang Jian, Wei Lai, You Hong, Rao Huiying

机构信息

Peking University People's Hospital, Peking University Hepatology Institute, Infectious Disease and Hepatology Center of Peking University People's Hospital, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing 100044, China.

Liver Research Center, Beijing Friendship Hospital, Capital Medical University, 95 Yong-an Road, Xi-Cheng District, Beijing 100050, China.

出版信息

Diagnostics (Basel). 2024 Aug 22;14(16):1837. doi: 10.3390/diagnostics14161837.

DOI:10.3390/diagnostics14161837
PMID:39202325
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11353864/
Abstract

This study aimed to understand the dynamic changes in fibrosis and its relationship with the evaluation of post-treatment viral hepatitis using qFibrosis. A total of 158 paired pre- and post-treatment liver samples from patients with chronic hepatitis B (CHB; = 100) and C (CHC; = 58) were examined. qFibrosis was employed with artificial intelligence (AI) to analyze the fibrosis dynamics in the portal tract (PT), periportal (PP), midzonal, pericentral, and central vein (CV) regions. All patients with CHB achieved a virological response after 78 weeks of treatment, whereas patients with CHC achieved a sustained viral response after 24 weeks. For patients initially staged as F5/6 (Ishak system) at baseline, the post-treatment cases exhibited a significant reduction in the collagen proportionate area (CPA) (25-69%) and number of collagen strings (#string) (9-72%) across all regions. In contrast, those initially staged as F3/4 at baseline showed a similar CPA and #string trend at 24 weeks. For regression patients, 27 parameters (25 in the CV region) in patients staged as F3/4 and 15 parameters (three in the PT and 12 in the PP regions) in those staged as F5/6 showed significant differences between the CHB and CHC groups at baseline. Following successful antiviral treatment, the pre- and post-treatment liver samples provided quantitative evidence of the heterogeneity of fibrotic features. qFibrosis has the potential to provide new insights into the characteristics of fibrosis regression in both patients with CHB and CHC as early as 24 weeks after antiviral therapy.

摘要

本研究旨在了解纤维化的动态变化及其与使用qFibrosis评估治疗后病毒性肝炎的关系。共检测了158对慢性乙型肝炎(CHB;n = 100)和丙型肝炎(CHC;n = 58)患者治疗前后的肝脏样本。采用qFibrosis结合人工智能(AI)分析汇管区(PT)、门周(PP)、中区、中央周围和中央静脉(CV)区域的纤维化动态变化。所有CHB患者在治疗78周后实现病毒学应答,而CHC患者在24周后实现持续病毒学应答。对于基线时初始分期为F5/6(Ishak系统)的患者,治疗后的病例在所有区域的胶原相对面积(CPA)(25% - 69%)和胶原束数量(#束)(9% - 72%)均显著降低。相比之下,基线时初始分期为F3/4的患者在24周时CPA和#束呈现相似趋势。对于病情好转的患者,基线时F3/4分期患者的27个参数(CV区域25个)和F5/6分期患者的15个参数(PT区域3个,PP区域12个)在CHB和CHC组之间存在显著差异。抗病毒治疗成功后,治疗前后的肝脏样本为纤维化特征的异质性提供了定量证据。qFibrosis有潜力早在抗病毒治疗24周后就为CHB和CHC患者纤维化消退的特征提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155d/11353864/6e23533ea8e0/diagnostics-14-01837-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155d/11353864/a808e6a18ee3/diagnostics-14-01837-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155d/11353864/6e23533ea8e0/diagnostics-14-01837-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155d/11353864/a808e6a18ee3/diagnostics-14-01837-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155d/11353864/6e23533ea8e0/diagnostics-14-01837-g002.jpg

相似文献

1
AI Digital Pathology Using qFibrosis Shows Heterogeneity of Fibrosis Regression in Patients with Chronic Hepatitis B and C with Viral Response.使用qFibrosis的人工智能数字病理学显示慢性乙型和丙型肝炎病毒反应患者纤维化消退的异质性。
Diagnostics (Basel). 2024 Aug 22;14(16):1837. doi: 10.3390/diagnostics14161837.
2
Quantitative assessment of liver fibrosis (qFibrosis) reveals precise outcomes in Ishak "stable" patients on anti-HBV therapy.定量评估肝纤维化(qFibrosis)可揭示接受抗乙型肝炎病毒治疗的 Ishak“稳定”患者的精确结果。
Sci Rep. 2018 Feb 14;8(1):2989. doi: 10.1038/s41598-018-21179-2.
3
qFibrosis: a fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients.qFibrosis:一种结合组织学特征的全定量创新方法,用于促进动物模型和慢性乙型肝炎患者的准确纤维化评分。
J Hepatol. 2014 Aug;61(2):260-269. doi: 10.1016/j.jhep.2014.02.015. Epub 2014 Feb 26.
4
Comparison of collagen proportionate areas in liver fibrosis quantification between chronic hepatitis B and C.慢性乙型肝炎和丙型肝炎在肝纤维化定量中胶原比例面积的比较。
Medicine (Baltimore). 2016 Aug;95(35):e4736. doi: 10.1097/MD.0000000000004736.
5
AI-based digital pathology provides newer insights into lifestyle intervention-induced fibrosis regression in MASLD: An exploratory study.基于人工智能的数字病理学为非酒精性脂肪性肝炎相关脂肪性肝纤维化生活方式干预诱导的纤维化消退提供了新见解:一项探索性研究。
Liver Int. 2024 Oct;44(10):2572-2582. doi: 10.1111/liv.16025. Epub 2024 Jul 4.
6
Digital pathology with artificial intelligence analyses provides greater insights into treatment-induced fibrosis regression in NASH.借助人工智能分析的数字病理学能更深入地洞察非酒精性脂肪性肝炎(NASH)中治疗引起的纤维化消退情况。
J Hepatol. 2022 Nov;77(5):1399-1409. doi: 10.1016/j.jhep.2022.06.018. Epub 2022 Jun 30.
7
Gadolinium-ethoxybenzyl-diethylenetriamine penta-acetic acid-enhanced magnetic resonance imaging for evaluating fibrosis regression in chronic hepatitis C patients after direct-acting antiviral.钆特醇乙氧苯甲基二乙三胺五乙酸增强磁共振成像用于评估直接作用抗病毒治疗后慢性丙型肝炎患者纤维化的逆转。
World J Gastroenterol. 2022 May 28;28(20):2214-2226. doi: 10.3748/wjg.v28.i20.2214.
8
Higher risk of hepatocellular carcinoma in chronic hepatitis B vs chronic hepatitis C after achievement of virologic response.在实现病毒学应答后,慢性乙型肝炎患者患肝细胞癌的风险高于慢性丙型肝炎患者。
J Viral Hepat. 2017 Nov;24(11):990-997. doi: 10.1111/jvh.12723. Epub 2017 Jun 9.
9
[Lymphocyte subpopulations, levels of interferon, and expression of their receptors in patients with chronic hepatitis B and C: Correlation with the species of viruses and the degree of liver fibrosis].慢性乙型和丙型肝炎患者的淋巴细胞亚群、干扰素水平及其受体表达:与病毒种类和肝纤维化程度的相关性
Ter Arkh. 2017;89(11):14-20. doi: 10.17116/terarkh2017891114-20.
10
Changes in APRI and FIB-4 in HBeAg-negative treatment-naive chronic hepatitis B patients with significant liver histological lesions receiving 5-year entecavir therapy.恩替卡韦治疗 5 年后有明显肝脏组织学病变的 HBeAg 阴性初治慢性乙型肝炎患者的 APRI 和 FIB-4 的变化。
Clin Exp Med. 2019 Aug;19(3):309-320. doi: 10.1007/s10238-019-00560-z. Epub 2019 May 20.

本文引用的文献

1
Liver Fibrosis: From Basic Science towards Clinical Progress, Focusing on the Central Role of Hepatic Stellate Cells.肝纤维化:从基础科学到临床进展,聚焦于肝星状细胞的核心作用。
Int J Mol Sci. 2024 Jul 18;25(14):7873. doi: 10.3390/ijms25147873.
2
Hepatic Fibrosis and Cancer: The Silent Threats of Metabolic Syndrome.代谢综合征:肝纤维化和癌症的沉默威胁。
Diabetes Metab J. 2024 Mar;48(2):161-169. doi: 10.4093/dmj.2023.0240. Epub 2024 Jan 26.
3
Digital pathology for nonalcoholic steatohepatitis assessment.数字病理学在非酒精性脂肪性肝炎评估中的应用。
Nat Rev Gastroenterol Hepatol. 2024 Jan;21(1):57-69. doi: 10.1038/s41575-023-00843-7. Epub 2023 Oct 3.
4
Hepatic inflammatory responses in liver fibrosis.肝纤维化中的肝脏炎症反应。
Nat Rev Gastroenterol Hepatol. 2023 Oct;20(10):633-646. doi: 10.1038/s41575-023-00807-x. Epub 2023 Jul 3.
5
Second-Harmonic Generated Quantifiable Fibrosis Parameters Provide Signatures for Disease Progression and Regression in Nonalcoholic Fatty Liver Disease.二次谐波产生的可量化纤维化参数为非酒精性脂肪性肝病的疾病进展和消退提供特征。
Clin Pathol. 2023 Mar 26;16:2632010X231162317. doi: 10.1177/2632010X231162317. eCollection 2023 Jan-Dec.
6
Digital pathology with artificial intelligence analyses provides greater insights into treatment-induced fibrosis regression in NASH.借助人工智能分析的数字病理学能更深入地洞察非酒精性脂肪性肝炎(NASH)中治疗引起的纤维化消退情况。
J Hepatol. 2022 Nov;77(5):1399-1409. doi: 10.1016/j.jhep.2022.06.018. Epub 2022 Jun 30.
7
Impact of non-invasive biomarkers on hepatology practice: Past, present and future.非侵入性生物标志物对肝脏病学实践的影响:过去、现在和未来。
J Hepatol. 2022 Jun;76(6):1362-1378. doi: 10.1016/j.jhep.2022.03.026.
8
Liver biopsy for assessment of chronic liver diseases: a synopsis.用于评估慢性肝病的肝活检:概述
Clin Exp Med. 2023 Jun;23(2):273-285. doi: 10.1007/s10238-022-00799-z. Epub 2022 Feb 22.
9
Cellular and Molecular Mechanisms Underlying Liver Fibrosis Regression.肝脏纤维化消退的细胞和分子机制。
Cells. 2021 Oct 15;10(10):2759. doi: 10.3390/cells10102759.
10
Prospects for the Global Elimination of Hepatitis B.全球消除乙型肝炎的前景。
Annu Rev Virol. 2021 Sep 29;8(1):437-458. doi: 10.1146/annurev-virology-091919-062728.