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超声心动图在肺动脉高压右心功能评估中的作用

Role of echocardiography in the assessment of right ventricular function in pulmonary hypertension

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【作者】 谢依林; 谭盈洁; 李江;

【Author】 XIE Yilin;TAN Yingjie;LI Jiang;Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University;

【通讯作者】 李江;

【机构】 中南大学湘雅二医院心血管内科;

【摘要】 肺动脉高压(pulmonary hypertension,PH)是一种以肺动脉压力升高为特征的进行性疾病,其预后与右心室功能密切相关。超声心动图作为一种无创、便捷的影像学工具,在PH的诊断、病因筛查、右心室功能评估及风险分层中具有重要价值。针对PH所致的右心室解剖、生理及病理生理适应性改变,超声心动图在精细化评估收缩与舒张功能方面具有不可替代的临床价值,三尖瓣环收缩期位移/肺动脉收缩压比值(tricuspid annular plane systolic excursion/pulmonary artery systolic pressure,TAPSE/PASP)等无创参数也被证实具有评估右心室-肺动脉耦联预后的重要价值。此外,人工智能技术在超声心动图分析中的应用也为PH的早期检测及突破常规估测局限提供了新工具。现有证据表明,以超声心动图为核心的无创右心功能评估体系在PH管理中占据核心地位。未来研究需进一步验证多参数联合模型的效能,并推动人工智能技术与临床实践的深度融合,以实现更早期、精准的个体化诊疗。

【Abstract】 Pulmonary hypertension(PH) is a progressive disease characterized by elevated pulmonary arterial pressure, and its prognosis is closely associated with right ventricular(RV) function. Echocardiography, as a noninvasive and convenient imaging modality, plays an important role in the diagnosis of PH, etiological screening, assessment of RV function, and risk stratification. In response to the anatomical, physiological, and pathophysiological adaptive changes of the RV caused by PH, echocardiography demonstrates significant value in the detailed evaluation of both systolic and diastolic function. Noninvasive parameters such as the ratio of tricuspid annular plane systolic excursion to pulmonary artery systolic pressure(TAPSE/PASP) have also been confirmed to possess important prognostic value in assessing RV-pulmonary arterial(RV-PA) coupling. In addition, the application of artificial intelligence in echocardiographic analysis provides new tools for the early detection of PH and helps overcome limitations of conventional estimation methods. Current evidence indicates that a noninvasive right heart functional assessment system centered on echocardiography plays a central role in the management of PH. Future studies are required to further validate the performance of multiparametric combined models and to promote deeper integration of artificial intelligence technologies with clinical practice, thereby enabling earlier and more precise individualized diagnosis and treatment.

【基金】 国家自然科学基金(82470055)~~
  • 【文献出处】 中南大学学报(医学版) ,Journal of Central South University(Medical Science) , 编辑部邮箱 ,2026年01期
  • 【分类号】R540.45;R544.1
  • 【下载频次】17
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