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dc.contributor.authorMunsell, Jr., W. P.
dc.date.accessioned2022-02-04T14:30:30Z
dc.date.available2022-02-04T14:30:30Z
dc.date.copyright2020/05/05/
dc.date.issued2020
dc.identifier.issn2572-7958
dc.identifier.otherjesmdt_003_03_031003.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273802
dc.description.abstractResearchers have attempted to evaluate the likelihood of hip fracture as a function of an engineering concept called the moment of inertia, as applied to the cross-sectional area of hip bones. While the premise is sound, the results have been disappointing. Although several authors have acknowledged that errors may arise in the current methods investigators employ to determine the cross section moment of inertia (CSMI), none have looked critically at the sources, or even the magnitude, of those errors. This paper evaluates the nature of the error that can be introduced by the use of one-dimensional bone mineral density scans to estimate the CSMI and quantifies its impact on predictive calculations. In addition, this paper presents an improved method for approximating the mechanical section properties of highly complex cross sections. The factors affecting the accuracy of the proposed method are tested, and its error rate is also quantified. The method employs a two-dimensional analysis of digital images of the subject cross section and does not require extensive user expertise or investment in expensive finite element analysis programs to implement. The limited file space necessary to install the required code means that standard smart phones could be used to directly evaluate the most complex cross section in the field.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleRevisiting the Basis for Hip Fracture Prediction Through Bone Mineral Density Scans: Large Potential Errors and Improved Methods
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue3
dc.journal.titleJournal of Engineering and Science in Medical Diagnostics and Therapy
dc.identifier.doi10.1115/1.4046927
dc.page31003
dc.treeJournal of Engineering and Science in Medical Diagnostics and Therapy:;2020:;volume( 003 ):;issue: 003
dc.contenttypeFulltext


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