病理性骨折的个性化生物力学建模:CTFEA揭示了传统骨折风险评估在良性骨肿瘤中的局限性。

IF 1.7 4区 医学 Q4 BIOPHYSICS
Emily Cameron, Carla Winsor, Elise Laende, Jereme Outerleys, John F Rudan, Daniel Borschneck, Heidi-Lynn Ploeg
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引用次数: 0

摘要

良性骨肿瘤,如成软骨细胞瘤、巨细胞瘤和动脉瘤性骨囊肿是罕见的,但临床意义重大的病变,经常发生在长骨的骨骺区,特别是在儿童和年轻人的负重关节附近。这些肿瘤损害骨的结构完整性,导致病理性骨折的风险增加。估计骨折风险的传统方法依赖于简单的几何阈值和体积比,但它们无法考虑到患者在骨几何、材料异质性和生理负载条件方面的特异性差异。因此,风险往往被错误分类,这可能导致过度治疗或错过预防机会。为了解决这一限制,本研究提出了一种新的替代方法(NAM);使用基于患者特异性计算机断层扫描(CT)的有限元分析(CTFEA)来评估4例良性膝关节肿瘤患者的骨折风险。临床CT成像和运动捕捉告知关节加载用于建立解剖学上准确的,机械校准的模型,结合非线性骨行为。CTFEA模拟集中在步行、慢跑和部分负重条件下,捕获局部应力和应变分布,并以临床和体积评估标准为基准。CTFEA通过模拟个性化加载场景的能力,揭示机械漏洞,包括在临床分类为低风险的情况下,优于传统方法。这些发现强调了CTFEA作为一种非侵入性的、患者特异性的替代动物模型或过于简化的模型的变革潜力,对骨科手术的术前计划和骨折风险分层具有直接意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Personalized Biomechanical Modeling of Pathologic Fracture: CTFEA Reveals Limitations of Traditional Fracture Risk Assessment in Benign Bone Tumors.

Benign bone tumors such as chondroblastoma, giant cell tumors, and aneurysmal bone cysts are rare but clinically significant lesions that frequently occur in the epiphyseal regions of long bones, particularly near load-bearing joints in children and young adults. These tumors compromise the structural integrity of bone, leading to an elevated risk of pathological fracture. Traditional methods for estimating fracture risk rely on simple geometric thresholds and volumetric ratios, but they fail to account for patient-specific differences in bone geometry, material heterogeneity, and physiological loading conditions. As a result, risk is often misclassified, which may lead to either overtreatment or missed prevention opportunities. To address this limitation, this study presents a novel alternative method (NAM); computational framework using patient-specific computed tomography (CT)-based finite element analysis (CTFEA) to evaluate fracture risk in four patients with benign knee tumors. Clinical CT imaging and motion capture-informed joint loading were used to develop anatomically accurate, mechanically calibrated models incorporating nonlinear bone behavior. CTFEA simulations focused on walking, jogging, and partial weight-bearing conditions captured localized stress and strain distributions and were benchmarked against clinical and volumetric assessment criteria. CTFEA outperformed traditional methods by revealing mechanical vulnerabilities, including in cases classified as low-risk clinically-through its ability to simulate individualized loading scenarios. These findings highlight the transformative potential of CTFEA as a non-invasive, patient-specific alternative to animal or oversimplified models, with direct implications for pre-operative planning and fracture risk stratification in orthopedic surgery.

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来源期刊
CiteScore
3.40
自引率
5.90%
发文量
169
审稿时长
4-8 weeks
期刊介绍: Artificial Organs and Prostheses; Bioinstrumentation and Measurements; Bioheat Transfer; Biomaterials; Biomechanics; Bioprocess Engineering; Cellular Mechanics; Design and Control of Biological Systems; Physiological Systems.
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