Literature DB >> 31146201

Quantification of human bone microarchitecture damage in press-fit femoral knee implantation using HR-pQCT and digital volume correlation.

Sophie Rapagna1, Sanaz Berahmani2, Caroline E Wyers3, Joop P W van den Bergh3, Karen J Reynolds1, Gianluca Tozzi4, Dennis Janssen2, Egon Perilli5.   

Abstract

Primary press-fit fixation of femoral knee prostheses is obtained thanks to the inside dimensions of the implant being undersized with respect to the bone cuts created intra-operatively, dictated by a press-fit specified by the implant design. However, during prostheses press-fit implantation, high compressive and shear stresses at the implant-bone interface are generated, which causes permanent bone damage. The extent of this damage is unknown, but it may influence the implant stability and be a contributing factor to aseptic loosening, a main cause of revisions for knee arthroplasty. The aim of this ex-vivo study was to quantify, using high-resolution peripheral quantitative computed tomography (HR-pQCT) imaging and Digital Volume Correlation (DVC), permanent bone deformation due to press-fit femoral knee implantation of a commonly used implant. Six human cadaveric distal femora were resected and imaged with HR-pQCT (60.7 μm/voxel, isotropic). Femurs were fitted with cementless femoral knee implants (Sigma PFC) and rescanned after implant removal. For each femur, permanent deformation was examined in the anterior, posterior-medial and posterior-lateral condyles for volumes of interest (VOIs) of 10 mm depth. The bone volume fraction (BV/TV) for the VOIs in pre- and post-implantation images was calculated, at increasing depth from the bone surface. DVC was applied on the VOIs pre- and post-implantation, to assess trabecular bone displacements and plastically accumulated strains. The "BV/TVpost/BV/TVpre ratio vs. depth" showed, consistently among the six femurs, three consecutive points of interest at increasing bone depth, indicating: bone removal (ratio<100%), compaction (ratio>100%) and no changes (ratio = 100%). Accordingly, the trabecular bone displacement computed by DVC suggested bone compaction up to 2.6 ± 0.8 mm in depth, with peak third principal strains of -162,100 ± 55,000 με (mean absolute error: 1,000-2,000 με, SD: 200-500 με), well above the yield strain of bone (7,000-10,000 με). Combining 3D-imaging, at spatial resolutions obtainable with clinical HR-pQCT, and DVC, determines the extent of plastic deformation and accumulated compressive strains occurring within the bone due to femoral press-fit implantation. The methods and data presented can be used to compare different implants, implant surface coatings and press-fit values. These can also be used to advance and validate computational models by providing information about the bone-implant interface obtained experimentally. Future studies using these methods can assist in determining the influence of bone damage on implant stability and the subsequent osseointegration.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Digital volume correlation; HR-pQCT; Press-fit implantation; Trabecular bone deformation; Uncemented total knee replacement

Year:  2019        PMID: 31146201     DOI: 10.1016/j.jmbbm.2019.04.054

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  7 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.  Characterizing the Mechanical Behavior of Bone and Bone Surrogates in Compression Using pQCT.

Authors:  Johannes D Pallua; David Putzer; Elias Jäger; Gerald Degenhart; Rohit Arora; Werner Schmölz
Journal:  Materials (Basel)       Date:  2022-07-20       Impact factor: 3.748

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

6.  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

7.  Exploratory Full-Field Mechanical Analysis across the Osteochondral Tissue-Biomaterial Interface in an Ovine Model.

Authors:  Jeffrey N Clark; Agathe Heyraud; Saman Tavana; Talal Al-Jabri; Francesca Tallia; Brett Clark; Gordon W Blunn; Justin P Cobb; Ulrich Hansen; Julian R Jones; Jonathan R T Jeffers
Journal:  Materials (Basel)       Date:  2020-09-04       Impact factor: 3.623

  7 in total

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