从数字腕部断层合成获得的强度和应变分布可区分有无脆性骨折史的患者。

Bone Pub Date : 2025-03-01 Epub Date: 2024-12-12 DOI:10.1016/j.bone.2024.117368
Ram N Yadav, Daniel J Oravec, Terra Cushman, Sudhaker D Rao, Yener N Yeni
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引用次数: 0

摘要

骨质疏松导致的骨折是一个重要的问题。用于骨折风险评估的标准骨密度(BMD)准确性有限,加上对骨骼健康筛查的依从性较低,妨碍了对有骨折风险者的识别。由于数字乳腺断层合成(DBT)成像的广泛应用,在乳腺筛查时使用DBT扫描仪进行骨筛查已被提出。早期的研究表明,可以使用腕部数字断层合成成像(DWT)计算骨密度、微观结构和桡骨远端刚度。然而,强度和应力/应变参数,更相关的结构破坏,并有可能提高DWT的效用,以前没有研究过。因此,本研究旨在通过基于DWT的有限元(DWT- fe)导出的强度和应力/应变分布特性来检验DWT区分脆性骨折患者和非脆性骨折患者的能力,并确定这些生物力学特性在体内的可重复性。22名绝经后妇女有任何脆性骨折(包括脊柱、髋部、桡骨远端、肱骨和胫骨骨折),68名没有。每个参与者的非优势臂(如果有非优势臂骨折史的优势臂)用DWT扫描,并使用有限元模型模拟压缩载荷。另外6名患者进行了三次dwt扫描,重新定位,以确定研究变量的可重复性。年龄和t评分在骨折组和非骨折组之间没有差异(p > 0.1),但强度和应力/应变参数是骨折状态的显著预测因子(AUC = 0.64-0.74)。拉伸应变的标准差是断裂状态最具歧视性的变量(AUC = 0.74),与刚度无关。DWT生物力学性能的重复性误差为0.7 % ~ 5.8 %。该研究表明,基于DWT-FE的强度和拉伸应变的标准偏差是可重复的,并且可以独立于BMD和刚度预测断裂状态。结果表明,在高度可及的乳房x线摄影环境下,骨折风险筛查的准确性可以得到提高。
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Strength and strain distributions obtained from digital wrist tomosynthesis discriminate patients with and without a history of fragility fracture.

Bone fractures due to osteoporosis are a significant problem. Limited accuracy of standard bone mineral density (BMD) for fracture risk assessment, combined with low adherence to bone health screening precludes identification of those at risk of fracture. Because of the wide availability of digital breast tomosynthesis (DBT) imaging, bone screening using a DBT scanner at the time of breast screening has been proposed. Earlier studies have shown that BMD, microstructure, and stiffness of the distal radius can be calculated using digital tomosynthesis imaging of the wrist (DWT). However, strength and stress/strain parameters, which are more relevant to structural failure, and have the potential to enhance the utility of DWT, were not examined previously. Therefore, this study aimed to examine the ability of DWT to discriminate patients with and without fragility fracture using DWT based finite element (DWT-FE) derived strength and stress/strain distribution properties, and to determine in vivo repeatability of these biomechanical properties. Twenty-two postmenopausal women with any fragility fracture (included spine, hip, distal radius, humerus and tibia fractures) and 68 without were recruited. Each participant's nondominant arm (dominant arm if history of fracture in the nondominant arm) was scanned with DWT and compressive loading was simulated using FE modeling. Six additional patients were DWT-scanned thrice, with repositioning, to determine the repeatability of the study variables. Age and T-score were not different between fracture and nonfracture groups (p > 0.1), but strength and stress/strain parameters were significant predictors of fracture status (AUC = 0.64-0.74). Standard deviation of tensile strain was the most discriminatory variable for fracture status (AUC = 0.74) and was independent from stiffness. Repeatability error of DWT biomechanical properties was 0.7 % to 5.8 %. This study demonstrated that DWT-FE based strength and standard deviation of tensile strain were reproducible and predict fracture status independent from BMD and stiffness. The results suggest that the accuracy of fracture risk screening can be improved in the highly accessible environment of mammographic imaging.

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