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人工智能在门静脉高压症和食管胃静脉曲张中的应用。

Application of artificial intelligence in portal hypertension and esophagogastric varices.

作者信息

Wang Qing-Chen, Jiao Jian, Zhang Chun-Qing

机构信息

Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, Shandong Province, China.

出版信息

World J Gastroenterol. 2025 Jun 28;31(24):108508. doi: 10.3748/wjg.v31.i24.108508.

DOI:10.3748/wjg.v31.i24.108508
PMID:40599185
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12207538/
Abstract

Esophagogastric variceal bleeding is a common and severe complication of cirrhotic portal hypertension. Hepatic venous pressure gradient measurement and esophagogastroduodenoscopy are the diagnostic gold standards for portal hypertension and esophagogastric variceal bleeding, respectively. With advancements in artificial intelligence in medicine, non-invasive diagnostic methods are increasingly replacing traditional invasive procedures, permitting more rational and personalized patient care. This review summarizes the formation and diagnosis of portal hypertension, as well as the primary prophylaxis, secondary prophylaxis, and management of acute esophagogastric variceal bleeding. This study also highlights the latest progress in artificial intelligence in the diagnosis and treatment of portal hypertension and esophagogastric varices.

摘要

食管胃静脉曲张出血是肝硬化门静脉高压常见且严重的并发症。肝静脉压力梯度测量和食管胃十二指肠镜检查分别是门静脉高压和食管胃静脉曲张出血的诊断金标准。随着医学人工智能的发展,非侵入性诊断方法正日益取代传统的侵入性检查,从而实现更合理、个性化的患者护理。本综述总结了门静脉高压的形成与诊断,以及食管胃静脉曲张急性出血的一级预防、二级预防和治疗。本研究还重点介绍了人工智能在门静脉高压和食管胃静脉曲张诊治方面的最新进展。

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本文引用的文献

1
Advances in intrahepatic and extrahepatic vascular dysregulations in cirrhotic portal hypertension.肝硬化门静脉高压症肝内和肝外血管调节异常的研究进展
Front Med (Lausanne). 2025 Jan 31;12:1515400. doi: 10.3389/fmed.2025.1515400. eCollection 2025.
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Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding.经颈静脉肝内门体分流术治疗急性静脉曲张出血后肝性脑病对长期生存的机器学习预测
World J Gastroenterol. 2025 Jan 28;31(4):100401. doi: 10.3748/wjg.v31.i4.100401.
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Non-invasive imaging biomarkers in chronic liver disease.慢性肝病中的非侵入性成像生物标志物。
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Correlation between diameter of esophageal varices and early rebleeding following endoscopic variceal ligation: a multicenter retrospective study based on artificial intelligence-based endoscopic virtual rule.内镜下静脉曲张套扎术后食管静脉曲张直径与早期再出血的相关性:一项基于人工智能内镜虚拟规则的多中心回顾性研究
Front Med (Lausanne). 2024 Jun 12;11:1406108. doi: 10.3389/fmed.2024.1406108. eCollection 2024.
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Inflammasomes in chronic liver disease: Hepatic injury, fibrosis progression and systemic inflammation.炎症小体在慢性肝病中的作用:肝损伤、纤维化进展和全身炎症。
J Hepatol. 2024 Nov;81(5):895-910. doi: 10.1016/j.jhep.2024.06.016. Epub 2024 Jun 20.
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WFUMB Guideline/Guidance on Liver Multiparametric Ultrasound: Part 1. Update to 2018 Guidelines on Liver Ultrasound Elastography.WFUMB 肝脏多参数超声临床应用指南:第 1 部分。更新 2018 年肝脏超声弹性成像指南。
Ultrasound Med Biol. 2024 Aug;50(8):1071-1087. doi: 10.1016/j.ultrasmedbio.2024.03.013. Epub 2024 May 17.
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Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations.医疗实践中大规模人工智能 (AI) 部署的挑战与策略:医疗机构视角。
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Integrative analysis identifies oxidative stress biomarkers in non-alcoholic fatty liver disease via machine learning and weighted gene co-expression network analysis.基于机器学习和加权基因共表达网络分析的整合分析确定非酒精性脂肪性肝病的氧化应激生物标志物。
Front Immunol. 2024 Feb 27;15:1335112. doi: 10.3389/fimmu.2024.1335112. eCollection 2024.
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Efficacy of TIPS plus extrahepatic collateral embolisation in real-world data: a validation study.经颈静脉肝内门体分流术(TIPS)联合体外线栓术治疗的真实世界数据疗效:验证性研究。
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