Manzo Rachele, Ilardi Federica, Nappa Dalila, Mariani Andrea, Angellotti Domenico, Immobile Molaro Maddalena, Sgherzi Giulia, Castiello Domenico Simone, Simonetti Fiorenzo, Santoro Ciro, Canonico Mario Enrico, Avvedimento Marisa, Piccolo Raffaele, Franzone Anna, Esposito Giovanni
Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy.
Diagnostics (Basel). 2023 Jul 29;13(15):2527. doi: 10.3390/diagnostics13152527.
Echocardiography represents the most important diagnostic tool in the evaluation of aortic stenosis. The echocardiographic assessment of its severity should always be performed through a standardized and stepwise approach in order to achieve a comprehensive evaluation. The latest technical innovations in the field of echocardiography have improved diagnostic accuracy, guaranteeing a better and more detailed evaluation of aortic valve anatomy. An early diagnosis is of utmost importance since it shortens treatment delays and improves patient outcomes. Echocardiography plays a key role also in the evaluation of all the structural changes related to aortic stenosis. Detailed evaluation of subtle and subclinical changes in left ventricle function has a prognostic significance: scientific efforts have been addressed to identify the most accurate global longitudinal strain cut-off value able to predict adverse outcomes. Moreover, in recent years the role of artificial intelligence is increasingly emerging as a promising tool able to assist cardiologists in aortic stenosis screening and diagnosis, especially by reducing the rate of aortic stenosis misdiagnosis.
超声心动图是评估主动脉瓣狭窄最重要的诊断工具。对其严重程度的超声心动图评估应始终通过标准化和逐步的方法进行，以实现全面评估。超声心动图领域的最新技术创新提高了诊断准确性，保证了对主动脉瓣解剖结构更好、更详细的评估。早期诊断至关重要，因为它缩短了治疗延迟并改善了患者预后。超声心动图在评估与主动脉瓣狭窄相关的所有结构变化中也起着关键作用。对左心室功能细微和亚临床变化的详细评估具有预后意义：科学研究致力于确定能够预测不良结局的最准确的整体纵向应变临界值。此外，近年来，人工智能的作用越来越凸显，成为一种有前途的工具，能够协助心脏病专家进行主动脉瓣狭窄的筛查和诊断，尤其是通过降低主动脉瓣狭窄误诊率。
