Luo Yunhua
Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB, Canada.
Department of Biomedical Engineering (Graduate Program), University of Manitoba, Winnipeg, MB, Canada.
Front Endocrinol (Lausanne). 2025 Mar 4;16:1538460. doi: 10.3389/fendo.2025.1538460. eCollection 2025.
Hip fractures pose a significant health challenge, particularly in aging populations, leading to substantial morbidity and economic burden. Most hip fractures result from a combination of osteoporosis and falls. Accurate assessment of hip fracture risk is essential for identifying high-risk individuals and implementing effective preventive strategies. Current clinical tools, such as the Fracture Risk Assessment Tool (FRAX), primarily rely on statistical models of clinical risk factors derived from large population studies. However, these tools often lack specificity in capturing the individual biomechanical factors that directly influence fracture susceptibility. Consequently, image-based biomechanical approaches, primarily leveraging dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT), have garnered attention for their potential to provide a more precise evaluation of bone strength and the impact forces involved in falls, thereby enhancing risk prediction accuracy. Biomechanical approaches rely on two fundamental components: assessing bone strength and predicting fall-induced impact forces. While significant advancements have been made in image-based finite element (FE) modeling for bone strength analysis and dynamic simulations of fall-induced impact forces, substantial challenges remain. In this review, we examine recent progress in these areas and highlight the key challenges that must be addressed to advance the field and improve fracture risk prediction.
髋部骨折对健康构成重大挑战,在老龄化人群中尤为如此,会导致严重的发病率和经济负担。大多数髋部骨折是由骨质疏松症和跌倒共同导致的。准确评估髋部骨折风险对于识别高危个体和实施有效的预防策略至关重要。当前的临床工具,如骨折风险评估工具(FRAX),主要依赖于从大型人群研究中得出的临床风险因素的统计模型。然而,这些工具在捕捉直接影响骨折易感性的个体生物力学因素方面往往缺乏特异性。因此,基于图像的生物力学方法,主要利用双能X线吸收法(DXA)和定量计算机断层扫描(QCT),因其有潜力更精确地评估骨强度和跌倒时涉及的冲击力,从而提高风险预测准确性而受到关注。生物力学方法依赖于两个基本要素:评估骨强度和预测跌倒引起的冲击力。虽然基于图像的有限元(FE)建模在骨强度分析和跌倒引起的冲击力动态模拟方面取得了重大进展,但仍存在重大挑战。在这篇综述中,我们研究了这些领域的最新进展,并强调了推进该领域和改善骨折风险预测必须解决的关键挑战。