Federica Pagotto
Use of DXA-based statistical shape models of the femur for hip fracture risk prediction.
Rel. Mara Terzini, Alessandra Aldieri. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2022
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Abstract
Osteoporosis is a systematic skeletal disorder characterized by low bone mass and microarchitectural deterioration of bone tissue, with a consequent increase in bone fragility and susceptibility to fracture, affecting about 30% of post-menopausal women. Nowadays, the main operational criterion to establish the presence of osteoporosis is based on the measurement of the areal Bone Mineral Density (aBMD) through Dual energy X-ray Absorptiometry (DXA). However, different studies have shown that nearly half of the subjects experiencing a low trauma hip fracture were classified as "low risk" according to the aBMD value. To overcome this problem and improve fracture prediction, different studies have been conducted, ranging from the analysis of the parameters of Hip Structural Analysis (HSA) and Trabecular Bone Score (TBS), up to the use of QCT images for the creation of Finite Element (FE) models to predict the bone load to failure or for the development of three-dimensional statistical shape models, in order to identify fracture-prone features.
Nonetheless, the main problem with the aforementioned analyses is that QCT is not routinely performed in a clinical environment
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