Automation of a DXA-based finite element tool for clinical assessment of hip fracture risk. (March 2018)

• Record Type: Journal Article
• Authors: Luo, Yunhua; Ahmed, Sharif; Leslie, William D.
• Is Part Of: Computer methods and programs in biomedicine. Volume 155(2018)
• Page Start: 75
• Page End: 83
• Publication Date: 2018-03
• Subjects: Hip fracture -- Dual energy x-ray absorptiometry (DXA) -- Finite element model -- Fracture risk -- Automation; Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2017.11.020
• Languages: English
• ISSNs: 0169-2607

Abstract

Highlights: DXA-based finite element model for assessing hip fracture risk in sideways fall. Completely automated computer program with hip DXA as the only input. Greatly improved short-term precision after automation. Better performance than femoral BMD in discrimination test. ABSTRACT: Finite element analysis of medical images is a promising tool for assessing hip fracture risk. Although a number of finite element models have been developed for this purpose, none of them have been routinely used in clinic. The main reason is that the computer programs that implement the finite element models have not been completely automated, and heavy training is required before clinicians can effectively use them. By using information embedded in clinical dual energy X-ray absorptiometry (DXA), we completely automated a DXA-based finite element (FE) model that we previously developed for predicting hip fracture risk. The automated FE tool can be run as a standalone computer program with the subject's raw hip DXA image as input. The automated FE tool had greatly improved short-term precision compared with the semi-automated version. To validate the automated FE tool, a clinical cohort consisting of 100 prior hip fracture cases and 300 matched controls was obtained from a local community clinical center. Both the automated FE tool and femoral bone mineral density (BMD) were applied to discriminate the fracture cases from the controls. Femoral BMD is the gold standard reference recommended by the World Health Organization for screening osteoporosis and for assessing hip fracture risk. The accuracy was measured by the area under ROC curve (AUC) and odds ratio (OR). Compared with femoral BMD (AUC = 0.71, OR = 2.07), the automated FE tool had a considerably improved accuracy (AUC = 0.78, OR = 2.61 at the trochanter). This work made a large step toward applying our DXA-based FE model as a routine clinical tool for the assessment of hip fracture risk. Furthermore, the automated computer program can be embedded into a web-site as an internet application.