糖尿病足鞋垫的进步:设计、制造和性能评估的全面回顾

Yuanfei Ren, Hao Wang, Xiaoshuang Song, Yanli Wu, Yongtao Lyu, Wei Zeng
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摘要

糖尿病发病率的不断攀升凸显了解决相关糖尿病足问题这一重大公共卫生问题的重要性。有效减轻足底压力是预防糖尿病足并发症的关键因素。本综述全面探讨了糖尿病足鞋垫的设计、制造和评估策略。此外,它还为提高鞋垫性能和促进临床应用提供了创新见解和指导。事实证明,采用全接触式定制设计、使用较软的高吸水性材料以及结合椭圆形多孔结构或三重周期性最小表面结构的鞋垫更能预防糖尿病足并发症。制造鞋垫通常采用熔融沉积建模技术,但由于打印复杂结构的局限性,对于复杂的鞋垫设计,建议采用选择性激光烧结技术。在临床应用之前,硅学和体外测试方法对彻底评估这些鞋垫的压力卸载功效起着至关重要的作用。未来的研究方向包括通过机器学习推进反向设计,探索拓扑优化的轻质解决方案,整合灵活的传感器配置,以及为糖尿病足鞋垫量身定制新型类肤材料。这些努力旨在进一步推动糖尿病足管理策略的发展和有效性。未来的研究方向应该是探索基于机器学习的逆向设计方法、轻质结构的拓扑优化、柔性传感器的集成以及专为糖尿病足鞋垫量身定制的新型类肤材料的开发。这些领域的进步有望进一步提高糖尿病足预防措施的有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancements in diabetic foot insoles: a comprehensive review of design, manufacturing, and performance evaluation
The escalating prevalence of diabetes has accentuated the significance of addressing the associated diabetic foot problem as a major public health concern. Effectively offloading plantar pressure stands out as a crucial factor in preventing diabetic foot complications. This review comprehensively examines the design, manufacturing, and evaluation strategies employed in the development of diabetic foot insoles. Furthermore, it offers innovative insights and guidance for enhancing their performance and facilitating clinical applications. Insoles designed with total contact customization, utilizing softer and highly absorbent materials, as well as incorporating elliptical porous structures or triply periodic minimal surface structures, prove to be more adept at preventing diabetic foot complications. Fused Deposition Modeling is commonly employed for manufacturing; however, due to limitations in printing complex structures, Selective Laser Sintering is recommended for intricate insole designs. Preceding clinical implementation, in silico and in vitro testing methodologies play a crucial role in thoroughly evaluating the pressure-offloading efficacy of these insoles. Future research directions include advancing inverse design through machine learning, exploring topology optimization for lightweight solutions, integrating flexible sensor configurations, and innovating new skin-like materials tailored for diabetic foot insoles. These endeavors aim to further propel the development and effectiveness of diabetic foot management strategies. Future research avenues should explore inverse design methodologies based on machine learning, topology optimization for lightweight structures, the integration of flexible sensors, and the development of novel skin-like materials specifically tailored for diabetic foot insoles. Advancements in these areas hold promise for further enhancing the effectiveness and applicability of diabetic foot prevention measures.
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