Hattori Soichi, Saggar Rachit, Heidinger Eva, Qi Andrew, Mullen Joseph, Fee Brianna, Brown Cortez L, Canton Stephen P, Scott Devon, Hogan MaCalus V
Foot and Ankle Injury Research (FAIR), Division of Foot and Ankle, Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15219, USA.
Diagnostics (Basel). 2024 Sep 11;14(18):2008. doi: 10.3390/diagnostics14182008.
Ultrasound imaging is a vital imaging tool in musculoskeletal medicine, with the number of publications on ultrasound-guided surgery increasing in recent years, especially in minimally invasive procedures of sports, foot and ankle, and hand surgery. However, ultrasound imaging has drawbacks, such as operator dependency and image obscurity. Artificial intelligence (AI) and deep learning (DL), a subset of AI, can address these issues. AI/DL can enhance screening practices for hip dysplasia and osteochondritis dissecans (OCD) of the humeral capitellum, improve diagnostic accuracy for carpal tunnel syndrome (CTS), and provide physicians with better prognostic prediction tools for patients with knee osteoarthritis. Building on these advancements, DL methods, including segmentation, detection, and localization of target tissues and medical instruments, also have the potential to allow physicians and surgeons to perform ultrasound-guided procedures more accurately and efficiently. This review summarizes recent advances in ultrasound-guided procedures for musculoskeletal diseases and provides a comprehensive overview of the utilization of AI/DL in ultrasound for musculoskeletal medicine, particularly focusing on ultrasound-guided surgery.
超声成像在肌肉骨骼医学中是一种重要的成像工具,近年来关于超声引导手术的出版物数量不断增加,特别是在运动、足踝和手部手术的微创手术中。然而,超声成像也有缺点,如依赖操作者和图像模糊。人工智能(AI)和深度学习(DL,AI的一个子集)可以解决这些问题。AI/DL可以加强对髋关节发育不良和肱骨小头剥脱性骨软骨炎(OCD)的筛查,提高腕管综合征(CTS)的诊断准确性,并为膝关节骨关节炎患者为医生提供更好的预后预测工具。基于这些进展,包括目标组织和医疗器械的分割、检测和定位在内的DL方法,也有可能使医生和外科医生更准确、高效地进行超声引导手术。本综述总结了肌肉骨骼疾病超声引导手术的最新进展,并全面概述了AI/DL在肌肉骨骼医学超声中的应用,特别关注超声引导手术。