Abstract

Spinal fracture and aging are interrelated. Diagnosis of such a challenging incident is quite complex. Currently, imaging techniques (e.g. DEXA scans) are being used to predict the risk of spinal fracture. However, bone mineral density (from imaging) is not a strong indication of future fractures. At Harvard, we have been developing subject-specific 3D computer-based models using QCT data and cutting-edge biomechanical models to predict the location of fracture and type of activities that lead to such debilitating fractures. This presentation will demonstrate some of our recent findings toward prevention of spinal fracture in a large cohort of community-based subjects.

Authors and Affiliations