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Elevated Microdamage Spatially Correlates with Stress in Metastatic Vertebrae

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Journal Ann Biomed Eng
Date 2019 Jan 24
PMID 30673956
Citations 2
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Abstract

Metastasis of cancer to the spine impacts bone quality. This study aims to characterize vertebral microdamage secondary to metastatic disease considering the pattern of damage and its relationship to stress and strain under load. Osteolytic and mixed osteolytic/osteoblastic vertebral metastases were produced in athymic rats via HeLa cervical or canine Ace-1 prostate cancer cell inoculation, respectively. After 21 days, excised motion segments (T12-L2) were µCT scanned, stained with BaSO and re-imaged. T13-L2 motion segments were loaded in axial compression to induce microdamage, re-stained and re-imaged. L1 (loaded) and T12 (unloaded) vertebrae were fixed, sample blocks cut, polished and BSE imaged. µFE models were generated of all L1 vertebrae with displacement boundary conditions applied based on the loaded µCT images. µCT stereological analysis, BSE analysis and µFE derived von Mises stress and principal strains were quantitatively compared (ANOVA), spatial correlations determined and patterns of microdamage assessed qualitatively. BaSO identified microdamage was found to be spatially correlated with regions of high stress in µFEA. Load-induced microdamage was shown to be elevated in the presence of osteolytic and mixed metastatic disease, with diffuse, crossed hatched areas of microdamage present in addition to linear microdamage and microfractures in metastatic tissue, suggesting diminished bone quality.

Citing Articles

CT-based finite element simulating spatial bone damage accumulation predicts metastatic human vertebrae strength and stiffness.

Soltani Z, Xu M, Radovitzky R, Stadelmann M, Hackney D, Alkalay R Front Bioeng Biotechnol. 2024; 12:1424553.

PMID: 39108596 PMC: 11300227. DOI: 10.3389/fbioe.2024.1424553.


Biomechanical Properties of Metastatically Involved Osteolytic Bone.

Whyne C, Ferguson D, Clement A, Rangrez M, Hardisty M Curr Osteoporos Rep. 2020; 18(6):705-715.

PMID: 33074529 DOI: 10.1007/s11914-020-00633-z.

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