Osteoporotic hip fracture prediction: is T-score based criterion enough? A Hip Structural Analysis based model

Journal of Biomechanical Engineering
Alessandra AldieriCristina Bignardi

Abstract

At present, the current gold-standard for osteoporosis diagnosis is based on bone mineral density measurement, which, however, has been demonstrated to poorly estimate fracture risk. Further parameters in the hands of the clinicians are represented by the Hip Structural Analysis (HSA) variables, which include geometric information of the proximal femur cross-section. The purpose of this study was to investigate the suitability of HSA parameters as additional hip fracture risk predictors. With this aim, twenty-eight three-dimensional patient-specific models of the proximal femur were built from CT images and a sideways fall condition was reproduced by finite element analyses. A tensile or compressive predominance based on minimum and maximum principal strains was determined at each volume element and a Risk Factor (RF) was calculated. The power of HSA variables combinations to predict the maximum superficial RF values was assessed by multivariate linear regression analysis. The optimal regression model, identified through the Akaike information criterion, only comprises two variables, the buckling ratio and the neck-shaft angle. In order to validate the study, the model was tested on two additional patients who suffered a hip fr...Continue Reading

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Citations

Sep 25, 2019·Journal of Clinical Medicine·Yong-Chan HaKi Soo Park
Sep 26, 2019·Frontiers in Bioengineering and Biotechnology·Mara TerziniCristina Bignardi
Jan 11, 2020·Frontiers in Bioengineering and Biotechnology·Giulia PascolettiElisabetta M Zanetti
May 11, 2020·Annals of Biomedical Engineering·J Mora-MacíasE Reina-Romo
Jul 14, 2020·Frontiers in Bioengineering and Biotechnology·Mara TerziniCristina Bignardi
Mar 20, 2019·Annals of Biomedical Engineering·Asghar RezaeiDan Dragomir-Daescu
Nov 2, 2020·Computers in Biology and Medicine·Alessandra AldieriUmberto Morbiducci

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