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

ABSTRACT: Introduction: Pathologic vertebral fractures are devastating for patients with spinal metastases. However, the mechanical process underlying these fractures is poorly understood, limiting physician's ability to predict which vertebral bodies will fail. Method: Here, we show the development of a damage-based finite element framework producing highly reliable pathologic vertebral strength and stiffness predictions from X-Ray computed tomography (CT) data. We evaluated the performance of specimen-specific material calibration vs. global material calibration across osteosclerotic, osteolytic, and mixed lesion vertebrae that we derived using a machine learning approach. Results: The FE framework using global calibration strongly predicted the pathologic vertebrae stiffness

SUBMITTER: Soltani Z 

PROVIDER: S-EPMC11300227 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature