Yu Haomin, Jafari Mohammad, Mujahid Aliza, Garcia Chelsea F, Shah Jaisheel, Sinha Riya, Huang Yuxuan, Shakiba Delaram, Hong Yuan, Cheraghali Danial, Pryce John R S, Sandler Jacob A, Elson Elliot L, Sacks Justin M, Genin Guy M, Alisafaei Farid
NSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, USA.
NSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering, New Jersey Institute of Technology, USA.
Acta Biomater. 2025 Jan 1;191:325-335. doi: 10.1016/j.actbio.2024.11.038. Epub 2024 Nov 22.
Split-thickness skin grafts are widely used to treat chronic wounds. Procedure design requires surgeons to predict how much a patch of the patient's own skin expands when it is meshed with rows of slits and stretched over a larger wound area. Accurate prediction of graft expansion remains a challenge, with current models overestimating the actual expansion, leading to suboptimal outcomes. Inspired by the principles of mechanical metamaterials, we developed a model that distinguishes between the kinematic rearrangement of structural elements and their stretching, providing a more accurate prediction of skin graft expansion. Our model was validated against extensive data from skin graft surgeries, demonstrating vastly superior predictive capability compared to existing methods. This metamaterial-inspired approach enables informed decision-making for potentially improving healing outcomes. STATEMENT OF SIGNIFICANCE: Accurately predicting the expansion of meshed skin grafts is crucial for minimizing patient trauma and optimizing healing outcomes in reconstructive surgery. However, current quantitative models, which treat grafts as tessellated trusses of rigid bars, fail to accurately estimate graft expansion. We have uncovered the mechanisms underlying skin graft expansion and developed a straightforward method based on these findings. This method, designed for practical use by surgeons, provides accurate predictions of graft expansion, as validated against extensive data from skin graft surgeries.
断层皮片移植被广泛用于治疗慢性伤口。手术设计要求外科医生预测患者自身的一片皮肤在被切成一排排狭缝并拉伸覆盖更大伤口区域时会扩张多少。准确预测移植皮片的扩张仍然是一项挑战,目前的模型高估了实际扩张情况,导致结果不理想。受机械超材料原理的启发,我们开发了一个模型,该模型区分了结构元件的运动学重排及其拉伸,从而更准确地预测皮肤移植皮片的扩张。我们的模型根据皮肤移植手术的大量数据进行了验证,与现有方法相比,显示出了极其优越的预测能力。这种受超材料启发的方法能够为改善愈合结果做出明智的决策。重要性声明:准确预测网状皮肤移植皮片的扩张对于在重建手术中尽量减少患者创伤并优化愈合结果至关重要。然而,目前将移植皮片视为刚性杆的镶嵌桁架的定量模型无法准确估计移植皮片的扩张。我们已经揭示了皮肤移植皮片扩张的潜在机制,并基于这些发现开发了一种简单的方法。这种方法是为外科医生实际使用而设计的,经皮肤移植手术的大量数据验证,能够准确预测移植皮片的扩张。