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Response to Cao et al.: Expanding machine learning-based non-invasive non-selective beta blockers monitoring.

作者信息

Giuffrè Mauro

机构信息

Department of Biomedical Informatics and Data Science, Yale School of Medicine, PO Box 208009, New Haven, CT, 06520-8009, USA.

Department of Medical, Surgical, and Health Sciences, University of Trieste, Trieste, 34127, Italy.

出版信息

Hepatol Int. 2025 Sep 8. doi: 10.1007/s12072-025-10905-4.

DOI:10.1007/s12072-025-10905-4
PMID:40924336
Abstract
摘要

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本文引用的文献

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Hepatic arterial infusion chemotherapy combined with lenvatinib and programmed death receptor-1 inhibitors for hepatocellular carcinoma with Vp4 portal vein tumor thrombus: a multicenter, propensity score matching comparative study.肝动脉灌注化疗联合乐伐替尼和程序性死亡受体-1抑制剂治疗伴有Vp4门静脉癌栓的肝细胞癌:一项多中心、倾向评分匹配的对照研究
Hepatol Int. 2025 Aug 4. doi: 10.1007/s12072-025-10884-6.
2
Predicting response to non-selective beta-blockers with liver-spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices.利用肝硬化合并高危静脉曲张患者的肝脾硬度和心率预测对非选择性β受体阻滞剂的反应
Hepatol Int. 2025 Apr;19(2):460-471. doi: 10.1007/s12072-024-10649-7. Epub 2024 Apr 25.
3
Spleen stiffness measurement for assessing the response to β-blockers therapy for high-risk esophageal varices patients.
脾脏硬度测量用于评估高危食管静脉曲张患者对β受体阻滞剂治疗的反应。
Hepatol Int. 2020 Sep;14(5):850-857. doi: 10.1007/s12072-020-10062-w. Epub 2020 Jun 15.
4
Spleen Stiffness Probability Index (SSPI): A simple and accurate method to detect esophageal varices in patients with compensated liver cirrhosis.脾脏硬度概率指数(SSPI):一种简单而准确的方法,用于检测代偿性肝硬化患者的食管静脉曲张。
Ann Hepatol. 2020 Jan-Feb;19(1):53-61. doi: 10.1016/j.aohep.2019.09.004. Epub 2019 Oct 23.
5
Evaluation of spleen stiffness in healthy volunteers using point shear wave elastography.应用单点剪切波弹性成像技术评估健康志愿者的脾脏硬度。
Ann Hepatol. 2019 Sep-Oct;18(5):736-741. doi: 10.1016/j.aohep.2019.03.004. Epub 2019 Apr 25.