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Predicting Trabecular Bone Stiffness from Clinical Cone-Beam CT and HR-pQCT Data; an In Vitro Study Using Finite Element Analysis
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0003-0884-899X
Linköping University, Center for Medical Image Science and Visualization (CMIV).
KTH Royal Institute of Technology, School of Technology and Health, Huddinge, Stockholm, Sweden.
Department of Clinical Science, Intervention and Technology at Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Karolinska University Hospital, Huddinge, Stockholm, Sweden.
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2016 (English)In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 11, no 8, e0161101Article in journal (Refereed) Published
Abstract [en]

Stiffness and shear moduli of human trabecular bone may be analyzed in vivo by finite element (FE) analysis from image data obtained by clinical imaging equipment such as high resolution peripheral quantitative computed tomography (HR-pQCT). In clinical practice today, this is done in the peripheral skeleton like the wrist and heel. In this cadaveric bone study, fourteen bone specimens from the wrist were imaged by two dental cone beam computed tomography (CBCT) devices and one HR-pQCT device as well as by dual energy X-ray absorptiometry (DXA). Histomorphometric measurements from micro-CT data were used as gold standard. The image processing was done with an in-house developed code based on the automated region growing (ARG) algorithm. Evaluation of how well stiffness (Young’s modulus E3) and minimum shear modulus from the 12, 13, or 23 could be predicted from the CBCT and HR-pQCT imaging data was studied and compared to FE analysis from the micro-CT imaging data. Strong correlations were found between the clinical machines and micro-CT regarding trabecular bone structure parameters, such as bone volume over total volume, trabecular thickness, trabecular number and trabecular nodes (varying from 0.79 to 0.96). The two CBCT devices as well as the HR-pQCT showed the ability to predict stiffness and shear, with adjusted R2 -values between 0.78 and 0.92, based on data derived through our in-house developed code based on the ARG algorithm. These findings indicate that clinically used CBCT may be a feasible method for clinical studies of bone structure and mechanical properties in future osteoporosis research.

Place, publisher, year, edition, pages
Public library of science , 2016. Vol. 11, no 8, e0161101
National Category
Clinical Medicine
URN: urn:nbn:se:liu:diva-130798DOI: 10.1371/journal.pone.0161101ISI: 000381381100120PubMedID: 27513664OAI: diva2:955082
Available from: 2016-08-24 Created: 2016-08-24 Last updated: 2016-10-03Bibliographically approved

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Klintström, EvaKlintström, BenjaminSmedby, Örjan
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Division of Radiological SciencesFaculty of Medicine and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Department of Radiology in Linköping
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Clinical Medicine

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