Prediction of incident vertebral fracture using CT-based finite element analysis

被引:68
|
作者
Allaire, B. T. [1 ]
Lu, D. [2 ]
Johannesdottir, F. [1 ,3 ]
Kopperdahl, D. [4 ]
Keaveny, T. M. [5 ,6 ]
Jarraya, M. [7 ,8 ]
Guermazi, A. [8 ]
Bredella, M. A. [9 ]
Samelson, E. J. [10 ,11 ,12 ]
Kiel, D. P. [10 ,11 ,12 ]
Anderson, D. E. [1 ]
Demissie, S. [2 ]
Bouxsein, M. L. [1 ,3 ]
机构
[1] Beth Israel Deaconess Med Ctr, Ctr Adv Orthopaed Studies, 330 Brookline Ave,RN 115, Boston, MA 02215 USA
[2] Boston Univ, Boston, MA 02215 USA
[3] Harvard Med Sch, Dept Orthoped Surg, Boston, MA 02115 USA
[4] ON Diagnost LLC, Berkeley, CA USA
[5] Univ Calif Berkeley, Dept Mech Engn, Berkeley, CA 94720 USA
[6] Univ Calif Berkeley, Dept Bioengn, Berkeley, CA 94720 USA
[7] Mercy Catholic Med Ctr, Dept Radiol, Darby, PA USA
[8] Boston Univ, Sch Med, Boston, MA 02118 USA
[9] Massachusetts Gen Hosp, Dept Radiol, Boston, MA USA
[10] Hebrew SeniorLife, Inst Aging Res, Boston, MA USA
[11] Beth Israel Deaconess Med Ctr, Dept Med, Boston, MA 02215 USA
[12] Harvard Med Sch, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
Bone strength; Finite element analysis; Fracture prediction; Incident vertebral fracture; QUANTITATIVE COMPUTED-TOMOGRAPHY; BONE-MINERAL DENSITY; TRABECULAR BONE; POSTMENOPAUSAL WOMEN; HIP FRACTURE; ELDERLY-MEN; STRENGTH; OSTEOPOROSIS; SPINE; RISK;
D O I
10.1007/s00198-018-4716-1
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
A Summary Prior studies show vertebral strength from computed tomography-based finite element analysis may be associated with vertebral fracture risk. We found vertebral strength had a strong association with new vertebral fractures, suggesting that vertebral strength measures identify those at risk for vertebral fracture and may be a useful clinical tool. Introduction We aimed to determine the association between vertebral strength by quantitative computed tomography (CT)-based finite element analysis (FEA) and incident vertebral fracture (VF). In addition, we examined sensitivity and specificity of previously proposed diagnostic thresholds for fragile bone strength and low BMD in predicting VF. Methods In a case-control study, 26 incident VF cases (13 men, 13 women) and 62 age- and sex-matched controls aged 50 to 85years were selected from the Framingham multi-detector computed tomography cohort. Vertebral compressive strength, integral vBMD, trabecular vBMD, CT-based BMC, and CT-based aBMD were measured from CT scans of the lumbar spine. Results Lower vertebral strength at baseline was associated with an increased risk of new or worsening VF after adjusting for age, BMI, and prevalent VF status (odds ratio (OR)=5.2 per 1 SD decrease, 95% CI 1.3-19.8). Area under receiver operating characteristic (ROC) curve comparisons revealed that vertebral strength better predicted incident VF than CT-based aBMD (AUC=0.804 vs. 0.715, p=0.05) but was not better than integral vBMD (AUC=0.815) or CT-based BMC (AUC=0.794). Additionally, proposed fragile bone strength thresholds trended toward better sensitivity for identifying VF than that of aBMD-classified osteoporosis (0.46 vs. 0.23, p=0.09). Conclusion This study shows an association between vertebral strength measures and incident vertebral fracture in men and women. Though limited by a small sample size, our findings also suggest that bone strength estimates by CT-based FEA provide equivalent or better ability to predict incident vertebral fracture compared to CT-based aBMD. Our study confirms that CT-based estimates of vertebral strength from FEA are useful for identifying patients who are at high risk for vertebral fracture.
引用
收藏
页码:323 / 331
页数:9
相关论文
共 50 条
  • [31] Accuracy of mapping results of thoracolumbar vertebral fracture verified using finite element analysis
    Lu, Hui
    Han, Shuo
    Liu, Rong
    Ma, Xuexiao
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2024, 16 (04): : 1145 - 1154
  • [32] A Review of CT-Based Fracture Risk Assessment with Finite Element Modeling and Machine Learning
    Ingmar Fleps
    Elise F. Morgan
    Current Osteoporosis Reports, 2022, 20 : 309 - 319
  • [33] Treatment Planning and Fracture Prediction in Patients with Skeletal Metastasis with CT-Based Rigidity Analysis
    Nazarian, Ara
    Entezari, Vahid
    Zurakowski, David
    Calderon, Nathan
    Hipp, John A.
    Villa-Camacho, Juan C.
    Lin, Patrick P.
    Cheung, Felix H.
    Aboulafia, Albert J.
    Turcotte, Robert
    Anderson, Megan E.
    Gebhardt, Mark C.
    Cheng, Edward Y.
    Terek, Richard M.
    Yaszemski, Michael
    Damron, Timothy A.
    Snyder, Brian D.
    CLINICAL CANCER RESEARCH, 2015, 21 (11) : 2514 - 2519
  • [34] Influence of loading conditions in finite element analysis assessed by HR-pQCT on ex vivo fracture prediction
    Revel, M.
    Bermond, F.
    Duboeuf, F.
    Mitton, D.
    Follet, H.
    BONE, 2022, 154
  • [35] A multiscale predictor/corrector scheme for efficient elastoplastic voxel finite element analysis, with application to CT-based bone strength prediction
    Nguyen, Lam H.
    Schillinger, Dominik
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2018, 330 : 598 - 628
  • [36] Fracture risk assessment in metastatic femurs: a patient-specific CT-based finite-element approach
    Falcinelli, Cristina
    Di Martino, Alberto
    Gizzi, Alessio
    Vairo, Giuseppe
    Denaro, Vincenzo
    MECCANICA, 2020, 55 (04) : 861 - 881
  • [37] Effects of intracortical porosity on fracture toughness in aging human bone:: A μCT-based cohesive finite element study
    Ural, Ani
    Vashishth, Deepak
    JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 2007, 129 (05): : 625 - 631
  • [38] Prediction of femoral fracture load using automated finite element modeling
    Keyak, JH
    Rossi, SA
    Jones, KA
    Skinner, HB
    JOURNAL OF BIOMECHANICS, 1998, 31 (02) : 125 - 133
  • [39] Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling
    Guha, Indranil
    Zhang, Xiaoliu
    Rajapakse, Chamith S.
    Chang, Gregory
    Saha, Punam K.
    MEDICAL PHYSICS, 2022, 49 (06) : 3886 - 3899
  • [40] CT-based radiomics predicts adjacent vertebral fracture after percutaneous vertebral augmentation
    Yang, Jin
    Zhang, Shu-Bao
    Yang, Shuo
    Ge, Xiao-Yong
    Ren, Chang-Xu
    Wang, Shan-Jin
    EUROPEAN SPINE JOURNAL, 2025, 34 (02) : 528 - 536