Literature DB >> 28762563

Femoral fracture type can be predicted from femoral structure: A finite element study validated by digital volume correlation experiments.

Mohamad Ikhwan Zaini Ridzwan1,2, Chamaiporn Sukjamsri1,3, Bidyut Pal1,4, Richard J van Arkel1, Andrew Bell5, Monica Khanna6, Aroon Baskaradas7, Richard Abel8, Oliver Boughton8, Justin Cobb8, Ulrich N Hansen1.   

Abstract

Proximal femoral fractures can be categorized into two main types: Neck and intertrochanteric fractures accounting for 53% and 43% of all proximal femoral fractures, respectively. The possibility to predict the type of fracture a specific patient is predisposed to would allow drug and exercise therapies, hip protector design, and prophylactic surgery to be better targeted for this patient rendering fracture preventing strategies more effective. This study hypothesized that the type of fracture is closely related to the patient-specific femoral structure and predictable by finite element (FE) methods. Fourteen femora were DXA scanned, CT scanned, and mechanically tested to fracture. FE-predicted fracture patterns were compared to experimentally observed fracture patterns. Measurements of strain patterns to explain neck and intertrochanteric fracture patterns were performed using a digital volume correlation (DVC) technique and compared to FE-predicted strains and experimentally observed fracture patterns. Although loaded identically, the femora exhibited different fracture types (six neck and eight intertrochanteric fractures). CT-based FE models matched the experimental observations well (86%) demonstrating that the fracture type can be predicted. DVC-measured and FE-predicted strains showed obvious consistency. Neither DXA-based BMD nor any morphologic characteristics such as neck diameter, femoral neck length, or neck shaft angle were associated with fracture type. In conclusion, patient-specific femoral structure correlates with fracture type and FE analyses were able to predict these fracture types. Also, the demonstration of FE and DVC as metrics of the strains in bones may be of substantial clinical value, informing treatment strategies and device selection and design.
© 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:993-1001, 2018. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  digital volume correlation; finite element analysis; fracture; intertrochanteric; neck

Mesh:

Year:  2017        PMID: 28762563     DOI: 10.1002/jor.23669

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  8 in total

1.  Heterogeneous Strain Distribution in the Subchondral Bone of Human Osteoarthritic Femoral Heads, Measured with Digital Volume Correlation.

Authors:  Melissa K Ryan; Sara Oliviero; Maria Cristiana Costa; J Mark Wilkinson; Enrico Dall'Ara
Journal:  Materials (Basel)       Date:  2020-10-16       Impact factor: 3.623

2.  Assessment of Intravertebral Mechanical Strains and Cancellous Bone Texture Under Load Using a Clinically Available Digital Tomosynthesis Modality.

Authors:  Daniel Oravec; Joshua Drost; Roger Zauel; Michael J Flynn; Yener N Yeni
Journal:  J Biomech Eng       Date:  2021-10-01       Impact factor: 1.899

3.  The Application of Digital Volume Correlation (DVC) to Evaluate Strain Predictions Generated by Finite Element Models of the Osteoarthritic Humeral Head.

Authors:  Jonathan Kusins; Nikolas Knowles; Melanie Columbus; Sara Oliviero; Enrico Dall'Ara; George S Athwal; Louis M Ferreira
Journal:  Ann Biomed Eng       Date:  2020-06-22       Impact factor: 3.934

4.  The risk of tibial eminence avulsion fracture with bi-unicondylar knee arthroplasty : a finite element analysis.

Authors:  Jennifer C Stoddart; Amy Garner; Mahmut Tuncer; Justin P Cobb; Richard J van Arkel
Journal:  Bone Joint Res       Date:  2022-08       Impact factor: 4.410

Review 5.  Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments.

Authors:  Enrico Dall'Ara; Gianluca Tozzi
Journal:  Front Bioeng Biotechnol       Date:  2022-10-04

Review 6.  Bringing Mechanical Context to Image-Based Measurements of Bone Integrity.

Authors:  Lindsay L Loundagain; Todd L Bredbenner; Karl J Jepsen; W Brent Edwards
Journal:  Curr Osteoporos Rep       Date:  2021-07-16       Impact factor: 5.096

7.  Centre of Rotation of the Human Subtalar Joint Using Weight-Bearing Clinical Computed Tomography.

Authors:  Marta Peña Fernández; Dorela Hoxha; Oliver Chan; Simon Mordecai; Gordon W Blunn; Gianluca Tozzi; Andy Goldberg
Journal:  Sci Rep       Date:  2020-01-23       Impact factor: 4.379

8.  Quantifying 3D Strain in Scaffold Implants for Regenerative Medicine.

Authors:  Jeffrey N Clark; Saman Tavana; Agathe Heyraud; Francesca Tallia; Julian R Jones; Ulrich Hansen; Jonathan R T Jeffers
Journal:  Materials (Basel)       Date:  2020-09-03       Impact factor: 3.623

  8 in total

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