Advantages of digital twin technology in orthopedic trauma Surgery - Exploring different clinical use cases
- PMID: 40481259
- PMCID: PMC12144170
- DOI: 10.1038/s41598-025-04792-w
Advantages of digital twin technology in orthopedic trauma Surgery - Exploring different clinical use cases
Abstract
Digital twin technology offers significant benefits for addressing fracture non-unions in orthopedic trauma surgery, particularly in cases requiring revision surgery. In this study, we developed a clinically applicable digital twin workflow that integrates patient-specific imaging, motion capture, musculoskeletal modeling, and finite element simulation. We applied this workflow to five real patient cases involving different anatomical sites and treatment strategies, including implant modification, augmentative fixation, and corrective osteotomy. Each case was virtually reconstructed to evaluate mechanical conditions before and after revision surgery. The results demonstrated that digital twins can predict improvements in implant stress distribution and fracture strain states, offering valuable insights for optimizing surgical decisions. This work highlights the feasibility of digital twins and their clinical value in supporting individualized revision strategies, laying the foundation for their broader use in trauma care. .
Keywords: Digital twin; Fracture healing; Individualized Biomechanical simulation; Non-unions; Patient-specific model generation; Surgical treatment.; Virtual reconstruction.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Competing interests: The authors declare no competing interests. Ethics Statement: Ethical approval for this study was indeed obtained, and all participants provided written informed consent. All study procedures involving human participants were conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of the University of Tuebingen (protocol codes 317 and 318/2022BO2). Patients were recruited from the outpatient trauma surgery clinic, and all participants provided written informed consent prior to inclusion in the study.
Figures
References
-
- Grieves, M. Digital twin: manufacturing excellence through virtual factory replication. White Paper. 1, 1–7 (2014).
-
- Liu, Y. et al. A novel Cloud-Based framework for the elderly healthcare services using digital twin. IEEE Access.7, 49088–49101. 10.1109/ACCESS.2019.2909828 (2019).
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
