Literature DB >> 15099624

Failure of trabecular bone with simulated lytic defects can be predicted non-invasively by structural analysis.

James Hong1, Greg D Cabe, John R Tedrow, John A Hipp, Brian D Snyder.   

Abstract

Pathologic fracture is a significant risk for patients afflicted with metastatic or benign skeletal tumors. The quandary for physicians who treat these patients is that after making the diagnosis they must try to predict the load bearing capacity of the involved bone and the fracture risk from images seen in radiological examinations. Since bone fails at a relatively constant strain independent of density we demonstrate that using a mechanics of materials approach that the cross-sectional structural properties of the bone most affected by the lytic defect governs the load bearing capacity of the entire bone. Homogeneous cylindrical cores of trabecular bone were harvested from the vertebral bodies of whale spines, and prepared with circular or slotted through-hole defects of varying sizes to simulate lytic skeletal tumors. Each specimen was imaged using quantitative computed tomography (CT), dual energy X-ray absorptiometry (DXA), and magnetic resonance imaging (MRI) to obtain data for calculating cross-sectional structural properties: axial, flexural, and torsional rigidity. The specimens were then divided into groups uniformly distributed with respect to defect sizes and shapes, and subjected to uniaxial tension, four-point bending or torsion until failure. A strong positive relationship was found between measured tensile yield loads, bending, and torsional yield moments vs. axial, flexural and torsional structural rigidities respectively, calculated from QCT, DXA, and MRI data [QCT: tension r2=0.951 , bending r2=0.909, torsion r2=0.914; DXA: tension r2=0.926, bending r2=0.841, torsion r2=0.916 (p<0.001); MRI: tension r2=0.916; bending r2=0.856, torsion r2=0.852]. For cylindrical cores of trabecular bone with simulated lytic defects, the load bearing capacity of the entire core was directly proportional to the axial, bending, or torsional rigidity at the weakest cross-section through the core containing the defect. Therefore structural rigidity analysis of cross-sectional geometric data measured non-invasively by QCT, DXA, and MRI of bones containing lytic defects may be used to predict the load bearing capacity of the involved bone and the relative fracture risk in vivo.

Entities:  

Mesh:

Year:  2004        PMID: 15099624     DOI: 10.1016/j.orthres.2003.09.006

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  28 in total

1.  Non-invasive assessment of failure torque in rat bones with simulated lytic lesions using computed tomography based structural rigidity analysis.

Authors:  Vahid Entezari; Pamela A Basto; Vartan Vartanians; David Zurakowski; Brian D Snyder; Ara Nazarian
Journal:  J Biomech       Date:  2011-02-03       Impact factor: 2.712

Review 2.  Computed tomography-based rigidity analysis: a review of the approach in preclinical and clinical studies.

Authors:  Juan C Villa-Camacho; Otatade Iyoha-Bello; Shohreh Behrouzi; Brian D Snyder; Ara Nazarian
Journal:  Bonekey Rep       Date:  2014-11-05

3.  Treatment Planning and Fracture Prediction in Patients with Skeletal Metastasis with CT-Based Rigidity Analysis.

Authors:  Ara Nazarian; Vahid Entezari; David Zurakowski; Nathan Calderon; John A Hipp; Juan C Villa-Camacho; Patrick P Lin; Felix H Cheung; Albert J Aboulafia; Robert Turcotte; Megan E Anderson; Mark C Gebhardt; Edward Y Cheng; Richard M Terek; Michael Yaszemski; Timothy A Damron; Brian D Snyder
Journal:  Clin Cancer Res       Date:  2015-02-27       Impact factor: 12.531

4.  Predicting distal femur bone strength in a murine model of tumor osteolysis.

Authors:  Kenneth A Mann; John Lee; Sarah A Arrington; Timothy A Damron; Matthew J Allen
Journal:  Clin Orthop Relat Res       Date:  2008-04-11       Impact factor: 4.176

5.  Heparin-dopamine functionalized graphene foam for sustained release of bone morphogenetic protein-2.

Authors:  Qingqing Yao; Yangxi Liu; Hongli Sun
Journal:  J Tissue Eng Regen Med       Date:  2018-05-18       Impact factor: 3.963

6.  Application of structural rigidity analysis to assess fidelity of healed fractures in rat femurs with critical defects.

Authors:  Ara Nazarian; Lina Pezzella; Alan Tseng; Stephen Baldassarri; David Zurakowski; Christopher H Evans; Brian D Snyder
Journal:  Calcif Tissue Int       Date:  2010-03-31       Impact factor: 4.333

7.  In brief: classifications in brief: Mirels' classification: metastatic disease in long bones and impending pathologic fracture.

Authors:  Muhammad Umar Jawad; Sean P Scully
Journal:  Clin Orthop Relat Res       Date:  2010-10       Impact factor: 4.176

8.  Computed tomography-based structural analysis for predicting fracture risk in children with benign skeletal neoplasms: comparison of specificity with that of plain radiographs.

Authors:  Natalie L Leong; Megan E Anderson; Mark C Gebhardt; Brian D Snyder
Journal:  J Bone Joint Surg Am       Date:  2010-08-04       Impact factor: 5.284

9.  Improved prediction of rat cortical bone mechanical behavior using composite beam theory to integrate tissue level properties.

Authors:  Grace Kim; Adele L Boskey; Shefford P Baker; Marjolein C H van der Meulen
Journal:  J Biomech       Date:  2012-09-25       Impact factor: 2.712

10.  Compressive axial mechanical properties of rat bone as functions of bone volume fraction, apparent density and micro-ct based mineral density.

Authors:  Esther Cory; Ara Nazarian; Vahid Entezari; Vartan Vartanians; Ralph Müller; Brian D Snyder
Journal:  J Biomech       Date:  2009-12-08       Impact factor: 2.712

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.