SNF grant # 183584 with HUG, INS, HES-SO and UK. The project aims to develop a hip fracture risk model based on the risk of falling and a calibrated CT examination. To validate the model, a clinical study has been running for two years. In June, the last participants were examined, and the baseline data from 374 participants is being analysed. In the last year, a script for CT calibration was developed. In addition, a method for extracting the thickness and composition of soft tissue from CT scans was developed. The CT scans will be used for femoral strength computations through an automated finite element pipeline. Together with fall risk estimations and newly gained insight about the soft tissues during an impact, this data will be used to explore novel mech- anistic ways to predict hip fracture risk.
with IS. High Resolution peripheral Quantitative Computed Tomography (HR-pQCT) is an imaging technique used to quantify the morphological, densitometric and mechanical properties of the distal radius and tibia with a resolution of 61 μm. We aimed to collect reference data with a new multi-stack protocol and identify size-independent structural and strength parameters to improve the continuous assessment of bone health. We conducted exploratory statistical analysis stratified for sex and anatomical site on 276 healthy participants who were previously measured at the Policlinic for Osteoporosis of the Inselspital. Our findings highlight that cortical volumetric bone mineral density (Ct.vBMD) of the weight-bearing tibia is the most sensitive variable with age. We propose a set of size-independent variables that provides a synthetic and intuitive overview of distal bone health for practi- cal diagnostics in a clinical setting.
