Year: 2025
Type: article
Abstract: 超声评估动脉血流参数具有实时、无创、可重复的优点，在血管疾病的诊断、预后评估中具有重要价值。近年来，随着超声技术的快速发展，超声造影、超微血流成像等新技术不断涌现，显著提高了动脉血流动力学评估的精确性和临床应用范围。研究背景及意义方面，动脉血流参数的变化与多种血管性疾病(如外周动脉狭窄、血栓形成等)密切相关，早期准确评估有助于疾病的早期诊断、风险分层和制定治疗决策。主要研究内容包括超声血流参数(如血流速度、阻力指数、搏动指数等)的检测方法、不同动脉系统(如颈动脉、肾动脉及外周动脉)的应用进展，以及新技术在血流动力学研究中的突破。临床价值总结显示，超声血流参数评估不仅可用于疾病诊断和严重程度分级，还能预测疾病风险、指导治疗方案，并在术后随访和科研领域发挥重要作用。未来，结合人工智能分析技术有望进一步提升超声血流评估的精准性和临床应用潜力。Ultrasound assessment of arterial blood flow parameters, characterized by its real-time, non-invasive, and repeatable nature, holds significant value in the diagnosis and prognostic evaluation of vascular diseases. In recent years, with the rapid advancement of ultrasound technology, novel techniques such as contrast-enhanced ultrasound (CEUS) and Superb Microvascular Imaging (SMI) have emerged, substantially improving the accuracy of hemodynamic assessments and expanding their clinical applications. Regarding research background and significance, alterations in arterial blood flow parameters are closely associated with various vascular pathologies (e.g., peripheral artery stenosis, thrombosis). Early and accurate assessment facilitates timely diagnosis, risk stratification, and formulation of therapeutic decisions. The main research content encompasses: Detection methods for ultrasound hemodynamic parameters (e.g., flow velocity, resistive index, pulsatility index). Application advances across different arterial systems (e.g., carotid, renal, and peripheral arteries) technological breakthroughs in hemodynamic research using new imaging modalities. Clinical value analysis demonstrates that ultrasound assessment of blood flow parameters not only enables disease diagnosis and severity grading but also predicts disease risk, guides treatment planning, and plays a vital role in postoperative follow-up and scientific research. Looking ahead, integration with AI-based analytics is anticipated to further enhance the precision and clinical potential of ultrasound-based hemodynamic evaluation.
Source: Advances in Clinical Medicine
Author: 可卿 吴
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4412810421