Assessing Bone Mineral Density Following Acute Hip Fractures

Emohare, Osa; Wiggin, Molly; Hemmati, Pouya; Switzer, Julie A.

doi:10.1177/2151458514560215

Cited by 8 publications

(6 citation statements)

References 29 publications

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“…The 3D models of the femoral head were imported into the 3-Matic Medical 13.0, a 3D model processing software, to create uniform and volume mesh. Then, the mesh models of the femoral head were imported back into the Mimics software, and the calculation of bone mineral density (BMD) was conducted according to the experience formula method reported in previous studies [23,24].…”

Section: Ct Images Analysismentioning

confidence: 99%

Dynamic evolution of osseous structure in osteonecrosis of the femoral head and dynamic collapse risks: a preliminary CT image study

Huang

Tan

et al. 2020

J Orthop Surg Res

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Background Collapse risk of osteonecrosis of the femoral head (ONFH) is estimated mainly based on static indicators, including lesion size and lesion location, but bone repairing is a dynamic process that lasts for years. The present study attempted to analyze the dynamic evolution of the osseous structure and its correlation with radiographic progression. Methods This retrospective study included 50 hips with ONFH from 50 patients. Participants were divided into the non-collapse group (n = 25) and the collapse group (n = 25). Original files of the initial computed tomography (CT) images were imported into imaging processing software for morphology analysis. The volume of sclerotic bone, the volume of soft tissue, and bone mineral density (BMD) were calculated. The linear correlations between the aforementioned indicators and the disease duration were estimated. The logistic regression analysis was conducted to evaluate the correlation of these indicators with the radiographic progression. Receiver operating characteristic (ROC) analysis was used to evaluate these indicators’ prediction performance. Results The volume of sclerotic bone and the BMD grew with disease duration, but the volume of soft tissue decrease. The logistic regression analysis found that the volume of sclerotic bone and the BMD were statistically associated with radiographic progression. The ROC analysis found that the regression model, which integrated the volume of sclerotic bone and the BMD, had satisfactory performance in predicting radiographic progression. Conclusion The present study suggested a dynamic evolution of the osseous structure and a dynamic variation trend of the collapse risk in ONFH. The volume of sclerotic bone and the BMD might serve as further prognostic indicators when estimating the collapse risk.

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Section: Ct Images Analysismentioning

confidence: 99%

Dynamic evolution of osseous structure in osteonecrosis of the femoral head and dynamic collapse risks: a preliminary CT image study

Huang

Tan

et al. 2020

J Orthop Surg Res

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“…The use of fenestrated implants allows to perform the augmentation procedure through the implant, providing the ability to first make a clinical judgement of the local bone quality when inserting the head element. Although BMD measurements are recommended for patients at risk of fractures, they are rarely performed and patients come in with their fractures without objective measurement of the underlying osteoporosis (Boonen S., 2011 andEmohare O., 2015). As reported in a previous study on cement augmentation of cadaveric bones, the feasibility of augmentation depends on the local quality of the bone surrounding the head element and augmentation is most effective in osteoporotic bone (Sermon, 2012).…”

Section: Discussionmentioning

confidence: 99%

Bone cement augmentation of femoral nail head elements increases their cut-out resistance in poor bone quality– A biomechanical study

Sermon¹,

Khatchadourian²,

Scherrer³

et al. 2021

Journal of Biomechanics

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“…More recent studies on opportunistic CT have used fractures as outcomes [67][68][69][70][71][72][73][74]. In patients who had a hip fracture after an abdominopelvic CT examination performed for other reasons, Lee et al [73] reported significantly lower L1 trabecular attenuation values (98.5 ± 36.8 HU) in patients who fractured, compared to age-and sex-matched controls (129.7 ± 44.9 HU).…”

Section: The Presentmentioning

confidence: 99%

Opportunistic Screening for Osteoporosis Using Computed Tomography: State of the Art and Argument for Paradigm Shift

et al. 2018

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Purpose of Review-Osteoporosis is disproportionately common in rheumatology patients. For the past three decades, the diagnosis of osteoporosis has benefited from well-established practice guidelines that emphasized the use of dual x-ray absorptiometry (DXA). Despite these guidelines and the wide availability of DXA, approximately two thirds of eligible patients do not undergo testing. One strategy to improve osteoporosis testing is to employ computed tomography (CT) examinations obtained as part ofroutine patient care to "opportunistically" screen for osteoporosis, without additional cost or radiation exposure to patients. This review examines the role of opportunistic CT in the evaluation of osteoporosis. Recent Findings-Recent evidence suggests that opportunistic measurement of bone attenuation (radiodensity) using CT has sensitivity comparable to DXA. More importantly, such an approach has been shown to predict osteoporotic fractures. Summary-The paradigm shift of using CTs obtained for other reasons to opportunistically screen for osteoporosis promises to substantially improve patient care.

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Assessing Bone Mineral Density Following Acute Hip Fractures

Cited by 8 publications

References 29 publications

Dynamic evolution of osseous structure in osteonecrosis of the femoral head and dynamic collapse risks: a preliminary CT image study

Dynamic evolution of osseous structure in osteonecrosis of the femoral head and dynamic collapse risks: a preliminary CT image study

Bone cement augmentation of femoral nail head elements increases their cut-out resistance in poor bone quality– A biomechanical study

Opportunistic Screening for Osteoporosis Using Computed Tomography: State of the Art and Argument for Paradigm Shift

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