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  1. Artikel: A Novel Methodology to Estimate Bone Mechanical Properties Using Dual-Energy Imaging to Improve Pedicle Screw Fixation.

    Solorzano Barrera, Carolina / Villemure, Isabelle / Aubin, Carl-Éric

    Journal of musculoskeletal & neuronal interactions

    2023  Band 23, Heft 3, Seite(n) 316–327

    Abstract: Objective: To develop a methodology to improve the representation of the mechanical properties of a vertebral finite element model (FEM) based on a new dual-energy (DE) imaging technology to improve pedicle screw fixation.: Methods: Bone-calibrated ... ...

    Abstract Objective: To develop a methodology to improve the representation of the mechanical properties of a vertebral finite element model (FEM) based on a new dual-energy (DE) imaging technology to improve pedicle screw fixation.
    Methods: Bone-calibrated radiographs were generated with dual-energy imaging technology in order to estimate the mechanical properties of the trabecular bone. Properties were included in regions of interest in four vertebral FEMs representing heterogeneity and homogeneity, as a realistic and reference model, respectively. Biomechanical parameters were measured during screw pull-out testing to evaluate pedicle screw fixation.
    Results: Simulations with property distributions deduced from dual-energy imaging characterization (heterogeneous models) induced an increase in biomechanical indicators versus with a homogeneous representation, implying different behaviors for the subject-specific models.
    Conclusion: The presented methodology allows a patient-specific representation of bone quality in a FEM using new DE imaging technology. Consideration of individualized bone distribution in a spinal FEM improves the perspective of orthopedic surgical planning over otherwise underestimated results using a homogeneous representation.
    Mesh-Begriff(e) Humans ; Pedicle Screws ; Spine ; Cancellous Bone ; Orthopedic Procedures
    Sprache Englisch
    Erscheinungsdatum 2023-08-31
    Erscheinungsland Greece
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041366-X
    ISSN 1108-7161
    ISSN 1108-7161
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: CFTR deletion affects mouse osteoblasts in a gender-specific manner.

    Orlando, Valérie / Morin, Geneviève / Laffont, Alisson / Lénart, Déborah / Solórzano Barrera, Carolina / Mustafy, Tanvir / Sankhe, Safiétou / Villemure, Isabelle / Mailhot, Geneviève

    Journal of cellular physiology

    2020  Band 235, Heft 10, Seite(n) 6736–6753

    Abstract: Advancements in research and care have contributed to increase life expectancy of individuals with cystic fibrosis (CF). With increasing age comes a greater likelihood of developing CF bone disease, a comorbidity characterized by a low bone mass and ... ...

    Abstract Advancements in research and care have contributed to increase life expectancy of individuals with cystic fibrosis (CF). With increasing age comes a greater likelihood of developing CF bone disease, a comorbidity characterized by a low bone mass and impaired bone quality, which displays gender differences in severity. However, pathophysiological mechanisms underlying this gender difference have never been thoroughly investigated. We used bone marrow-derived osteoblasts and osteoclasts from Cftr
    Mesh-Begriff(e) Animals ; Bone and Bones/metabolism ; Bone and Bones/physiology ; Cell Differentiation/physiology ; Cystic Fibrosis/metabolism ; Cystic Fibrosis/pathology ; Cystic Fibrosis Transmembrane Conductance Regulator/metabolism ; Disease Models, Animal ; Female ; Male ; Mice ; Mice, Inbred BALB C ; Mice, Knockout ; Osteoblasts/metabolism ; Osteoblasts/physiology ; Osteoclasts/metabolism ; Osteoclasts/physiology ; Osteogenesis/physiology ; Signal Transduction/physiology
    Chemische Substanzen Cftr protein, mouse ; Cystic Fibrosis Transmembrane Conductance Regulator (126880-72-6)
    Sprache Englisch
    Erscheinungsdatum 2020-01-27
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 3116-1
    ISSN 1097-4652 ; 0021-9541
    ISSN (online) 1097-4652
    ISSN 0021-9541
    DOI 10.1002/jcp.29568
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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