Pan Guobin
Medical Equipment Department, Yantai Yantaishan Hospital Yantai 264003, Shandong, China.
Am J Transl Res. 2024 Jun 15;16(6):2180-2189. doi: 10.62347/WHER3512. eCollection 2024.
In recent years, dynamic musculoskeletal ultrasound (DMUS) technology has demonstrated great potential in the diagnosis and treatment of orthopedic diseases. As a non-invasive, real-time imaging technique, it provides a dynamic view of joints and soft tissues, offering crucial insight for evaluating muscle injuries and bone damage caused by motion. This article comprehensively reviews the latest research in the field of DMUS, discussing its significant roles in managing orthopedic diseases and enhancing clinical practice. The application of DMUS is wide-ranging, including but not limited to the diagnosis of tendon injuries, ligament tears, arthritis, and soft tissue diseases. Additionally, DMUS has significant value in monitoring treatment progress and evaluating post-operative recovery. Furthermore, we discuss the use of DMUS for improving the accuracy and effectiveness of orthopedic surgeries. DMUS can provide high-quality diagnostic and therapeutic services for patients without a need for expensive equipment or complex procedures. Despite its promising outlook in orthopedics, broader clinical adoption remains limited by factors such as the steep learning curve associated with its use, the demand for specialized skills in interpreting high-quality images, and the need for extensive clinical validation. Future research should focus on standardizing operational procedures, improving the automation of image analysis, and validating its application in different orthopedic diseases through clinical trials.
近年来，动态肌肉骨骼超声（DMUS）技术在骨科疾病的诊断和治疗中显示出巨大潜力。作为一种非侵入性的实时成像技术，它能提供关节和软组织的动态视图，为评估运动引起的肌肉损伤和骨骼损伤提供关键见解。本文全面综述了DMUS领域的最新研究，讨论了其在骨科疾病管理和临床实践改进中的重要作用。DMUS的应用广泛，包括但不限于肌腱损伤、韧带撕裂、关节炎和软组织疾病的诊断。此外，DMUS在监测治疗进展和评估术后恢复方面具有重要价值。此外，我们还讨论了DMUS在提高骨科手术准确性和有效性方面的应用。DMUS无需昂贵设备或复杂程序就能为患者提供高质量的诊断和治疗服务。尽管其在骨科领域前景广阔，但由于使用相关的陡峭学习曲线、解读高质量图像所需的专业技能以及广泛临床验证的需求等因素，其在临床上的广泛应用仍然有限。未来的研究应专注于标准化操作程序、提高图像分析的自动化程度，并通过临床试验验证其在不同骨科疾病中的应用。
