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首页|期刊导航|中国中西医结合影像学杂志|剪切波弹性成像联合多参数预测模型在肝硬化食管胃底静脉曲张风险分层中的应用

剪切波弹性成像联合多参数预测模型在肝硬化食管胃底静脉曲张风险分层中的应用

韩昱 潘泉 朱翔宇 王俊玲

中国中西医结合影像学杂志2025,Vol.23Issue(6):692-697,6.
中国中西医结合影像学杂志2025,Vol.23Issue(6):692-697,6.DOI:10.3969/j.issn.1672-0512.2025.06.005

剪切波弹性成像联合多参数预测模型在肝硬化食管胃底静脉曲张风险分层中的应用

Application of a predictive model combining shear wave elastography and multiple parameters in risk stratification of esophageal and gastric varices in cirrhosis

韩昱 1潘泉 2朱翔宇 2王俊玲2

作者信息

  • 1. 山东第二医科大学医学影像学院,山东 潍坊 261000
  • 2. 山东大学齐鲁医院德州医院超声医学科,山东 德州 253000
  • 折叠

摘要

Abstract

Objective:To explore the clinical application value of a predictive model based on shear wave elastography(SWE)and multiple parameters in the risk stratification of esophageal and gastric varices(EGV)in patients with liver cirrhosis.Methods:A total of 72 patients with liver cirrhosis were enrolled.Using the gastroscopy results as the gold standard,all patients were divided into 2 groups,the non/mild EGV group(34 cases)and the moderate/severe EGV group(38 cases).The liver stiffness measurement(LSM),spleen stiffness measurement(SSM),portal vein diameter(PVD),portal vein velocity(PVV),splenic vein diameter(SVD),splenic vein velocity(SVV),spleen thickness,platelet,prothrombin time(PT),prothrombin activity(PTA),international normalized ratio(INR),total bilirubin,albumin,and Child-Pugh classification were compared between the two groups.The binary logistic regression analysis was used to screen for independent influencing factors of the severity of EGV and to construct a predictive model.ROC curve was plotted to evaluate the predictive efficacy of this model.Results:The differences in LSM,SSM,PVD,PVV,SVD,SVV,spleen thickness,platelet,PT,PTA,INR,total bilirubin,albumin and Child-Pugh classification between the two groups were all statistically significant(all P<0.05).Logistic regression analysis showed that SSM,spleen thickness and albumin were independent influencing factors for the severity of EGF in liver cirrhosis(all P<0.05).SSM,spleen thickness,albumin and platelet were included in the prediction model.ROC curve analysis showed that the AUCs for predicting the EGV occurrence were 0.899 for SSM,0.842 for spleen thickness,0.839 for platelet,0.796 for albumin,and 0.959 for the predictive model,and the predictive model demonstrated the best diagnostic efficacy.Conclusion:The predictive model based on SWE and multiple parameters shows good diagnostic efficacy in predicting the risk of EGV in patients with liver cirrhosis,providing an important reference for clinical treatment decisions.

关键词

肝硬化/食管胃底静脉曲张/剪切波弹性成像/超声检查

Key words

Cirrhosis/Esophageal and gastric varices/Shear wave elastography/Ultrasonography

引用本文复制引用

韩昱,潘泉,朱翔宇,王俊玲..剪切波弹性成像联合多参数预测模型在肝硬化食管胃底静脉曲张风险分层中的应用[J].中国中西医结合影像学杂志,2025,23(6):692-697,6.

中国中西医结合影像学杂志

1672-0512

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