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数字孪生技术在整形外科中的应用:一项系统综述。

Digital Twins Use in Plastic Surgery: A Systematic Review.

作者信息

Seth Ishith, Lim Bryan, Lu Phil Y J, Xie Yi, Cuomo Roberto, Ng Sally Kiu-Huen, Rozen Warren M, Sofiadellis Foti

机构信息

Department of Plastic Surgery, Peninsula Health, Melbourne, VIC 3199, Australia.

Plastic and Reconstructive Surgery, Department of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy.

出版信息

J Clin Med. 2024 Dec 23;13(24):7861. doi: 10.3390/jcm13247861.

Abstract

Digital twin technology, initially developed for engineering and manufacturing, has entered healthcare. In plastic surgery, digital twins (DTs) have the potential to enhance surgical precision, personalise treatment plans, and improve patient outcomes. This systematic review aims to explore the current use of DTs in plastic surgery and evaluate their effectiveness, challenges, and future potential. A systematic review was conducted by searching PubMed, Scopus, Web of Science, and Embase databases from their infinity to October 2024. The search included terms related to digital twins and plastic surgery. Studies were included if they focused on applying DTs in reconstructive or cosmetic plastic surgery. Data extraction focused on study characteristics, technological aspects, outcomes, and limitations. After 110 studies were selected for screening, 9 studies met the inclusion criteria, covering various areas of plastic surgery, such as breast reconstruction, craniofacial surgery, and microsurgery. DTs were primarily used in preoperative planning and intraoperative guidance, with reported improvements in surgical precision, complication rates, and patient satisfaction. However, challenges such as high costs, technical complexity, and the need for advanced imaging and computational tools were frequently noted. Limited research exists on using DTs in postoperative care and real-time monitoring. This systematic review highlights the potential of digital twins to revolutionise plastic surgery by providing personalised and precise surgical approaches. However, barriers such as cost, complexity, and ethical concerns must be addressed. Future research should focus on validating clinical outcomes through large-scale studies and developing soft tissue modelling and real-time monitoring capabilities.

摘要

数字孪生技术最初是为工程和制造领域开发的,如今已进入医疗保健领域。在整形外科中,数字孪生(DT)有潜力提高手术精度、个性化治疗方案并改善患者预后。本系统评价旨在探讨数字孪生在整形外科中的当前应用情况,并评估其有效性、挑战和未来潜力。通过检索PubMed、Scopus、Web of Science和Embase数据库,从建库至2024年10月进行了一项系统评价。检索词包括与数字孪生和整形外科相关的术语。如果研究聚焦于将数字孪生应用于重建或美容整形外科,则纳入研究。数据提取集中在研究特征、技术方面、结果和局限性。在筛选了110项研究后,9项研究符合纳入标准,涵盖了整形外科的各个领域,如乳房重建、颅面外科和显微外科。数字孪生主要用于术前规划和术中指导,据报道手术精度、并发症发生率和患者满意度均有所改善。然而,经常提到的挑战包括成本高、技术复杂性以及对先进成像和计算工具的需求。关于数字孪生在术后护理和实时监测中的应用研究有限。本系统评价强调了数字孪生通过提供个性化和精确的手术方法来彻底改变整形外科的潜力。然而,必须解决成本、复杂性和伦理问题等障碍。未来的研究应侧重于通过大规模研究验证临床结果,并开发软组织建模和实时监测能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2e/11728120/cd61276476d3/jcm-13-07861-g001.jpg

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