Sun Tianze, Wang Jinzuo, Suo Moran, Liu Xin, Huang Huagui, Zhang Jing, Zhang Wentao, Li Zhonghai
Department of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian 116600, China.
Key Laboratory of Molecular Mechanism for Repair and Remodeling of Orthopedic Diseases, Dalian 116000, China.
Bioengineering (Basel). 2023 May 23;10(6):627. doi: 10.3390/bioengineering10060627.
Due to the high prevalence and rates of disability associated with musculoskeletal system diseases, more thorough research into diagnosis, pathogenesis, and treatments is required. One of the key contributors to the emergence of diseases of the musculoskeletal system is thought to be changes in the biomechanics of the human musculoskeletal system. However, there are some defects concerning personal analysis or dynamic responses in current biomechanical research methodologies. Digital twin (DT) was initially an engineering concept that reflected the mirror image of a physical entity. With the application of medical image analysis and artificial intelligence (AI), it entered our lives and showed its potential to be further applied in the medical field. Consequently, we believe that DT can take a step towards personalized healthcare by guiding the design of industrial personalized healthcare systems. In this perspective article, we discuss the limitations of traditional biomechanical methods and the initial exploration of DT in musculoskeletal system diseases. We provide a new opinion that DT could be an effective solution for musculoskeletal system diseases in the future, which will help us analyze the real-time biomechanical properties of the musculoskeletal system and achieve personalized medicine.
由于肌肉骨骼系统疾病的高患病率和致残率，需要对其诊断、发病机制和治疗进行更深入的研究。肌肉骨骼系统疾病出现的关键因素之一被认为是人体肌肉骨骼系统生物力学的变化。然而，当前生物力学研究方法在个体分析或动态反应方面存在一些缺陷。数字孪生（DT）最初是一个工程概念，反映物理实体的镜像。随着医学图像分析和人工智能（AI）的应用，它进入了我们的生活，并显示出在医学领域进一步应用的潜力。因此，我们认为DT可以通过指导工业个性化医疗系统的设计，朝着个性化医疗迈出一步。在这篇观点文章中，我们讨论了传统生物力学方法的局限性以及DT在肌肉骨骼系统疾病中的初步探索。我们提出了一个新观点，即DT可能是未来肌肉骨骼系统疾病的有效解决方案，这将有助于我们分析肌肉骨骼系统的实时生物力学特性并实现个性化医疗。
