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By contrast, poor correlation was found in the closeness of the growth plates. The comparison between the predicted displacements and the measured displacements showed an excellent agreement in the middle portion of the vertebral body, both with and without lesions. Simplified linear microFE models of the vertebrae, based on microCT images, were developed.īoundary conditions were imposed from DVC data, and the displacement field was predicted. In this study, porcine vertebrae (with and without artificial lesions) were mechanically tested within a microCT scanner, and the displacement field was measured though a global Digital Volume Correlation approach. Micro Finite Element models have the potential of predicting the mechanical behavior of vertebrae with metastatic lesions at tissue level through laboratory studies, but their predictions must be validated against experimental measurements.
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(2021), "MicroFE models of porcine vertebrae with induced bone focal lesions: Validation of predicted displacements with digital volume correlation", JMBBM
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Image Abstract for Palanca, M., Oliviero, S., Dall'Ara, E.
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(2022), "Personalised 3D Assessment of Trochanteric Soft Tissues Improves Hip Fracture Classification Accuracy", Annals of Biomedical Engineering, URL: MicroFE models of porcine vertebrae with induced bone focal lesions: validation of predicted displacements with Digital Volume Correlation L., Bignardi, C., Paggiosi, M., Eastell, R., Viceconti, M., Bhattacharya, P. The results of this study suggest that clinical pipelines should focus on measuring soft tissue geometry in a person specific manner, and technologies that improve three-dimensional characterisation need not be prioritised.Īldieri, A., Terzini, M., Audenino, A. The improvement was smaller when orientation-specificity was suppressed and there was no improvement whatsoever when personalisation was suppressed instead. When the latter were used, fracture classification accuracy improved compared to the state-of-the-art. We found that soft tissue geometry estimated using BMI was a significant underestimate of personalized and orientation-specific measures of tissue geometry. This is what the current study set about to investigate, specifically by quantifying how accurately a predictor could distinguish which subjects in a cohort of British post-menopausal women had suffered a hip fracture or not (also called classification accuracy). Hence, before introducing into a clinical pathway, it is important to estimate how much fracture risk prediction would improve if soft tissue geometry was characterised in a subject-specific and/or orientation-specific manner. So where is the catch? CT images are not routinely used in clinical pathways due to factors such as expensive equipment, higher radiation dose, and expensive post-processing costs. Moreover, such estimates are currently available only for tissue geometry at a single hip impact orientation, even though actual falls to the side can vary substantially in terms of impact orientation. As such, this would be a step change from the state-of-the-art, whereby body mass index (BMI) is measured and tissue geometry is estimated based on a representative dependence between BMI and geometry. It is possible to measure the three-dimensional geometry of these tissues in a personalised manner by processing clinical computed tomography (CT) images. Therefore, it is important to account for the influence of these tissues when determining a patient's hip fracture risk. The soft fatty tissues around the hip can reduce the force of impact following a fall to the side. Support for refugee students and scholarsĬomputer Tomography slice of with the pelvic surface highlighted in red.Conferences, events, visitor accommodation and weddings.Worldwide Universities Network at Sheffield.Research centres, institutes and networks.Coronavirus: our research and innovation.