Literature DB >> 30977963

Particle analysis of shape factors according to American Society for Testing and Materials.

Stefan Schroeder1, Steffen Braun1, Ulrike Mueller1, Robert Sonntag1, Sebastian Jaeger1, Jan Philippe Kretzer1.   

Abstract

Polyethylene wear is one of the major factors influencing the survivorship of joint replacements. Depending on the number, size and morphology of the polyethylene particles, biological responses of the periprosthetic soft tissue in terms of inflammatory processes can occur, leading to loosening of the implant. Various parameters are used to analyze wear particles, which are usually determined by examining scanning electron microscopy (SEM) images with a particle analysis program. In this study, three different software solutions for particle analysis (self-developed Particleanalyzer_HD, Leica QWin and ImageJ) were compared regarding particle number, size and morphology. These solutions were also compared to the American Society for Testing and Materials (ASTM) F1877-16 specifications regarding particle morphology. SEM image analysis revealed no differences for the equivalent circle diameter (p = 0.969). However, a significant difference was found for the aspect ratio between the Particleanalyzer_HD and the other two software solutions (p < 0.001) and between Leica QWin and the other two software solutions regarding the roundness (p < 0.001). Only the Particleanalyzer_HD showed an excellent agreement with the ASTM standard for both morphology parameters (intraclass correlation = 1.000). Only the Particleanalyzer_HD calculated the two morphology parameters according to the ASTM standard. A comparison of the particle morphology between different studies is barely possible, as different algorithms for particle analysis are used. It is strongly recommended that the calculation according to the ASTM standard is used to improve future comparability of findings from wear analysis studies.
© 2019 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 108B:225-233, 2020. © 2019 Wiley Periodicals, Inc.

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Keywords:  ASTM; ECD; aspect ratio; particle analysis; roundness

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Year:  2019        PMID: 30977963     DOI: 10.1002/jbm.b.34382

Source DB:  PubMed          Journal:  J Biomed Mater Res B Appl Biomater        ISSN: 1552-4973            Impact factor:   3.368


  2 in total

1.  Traditional Chinese medicine extracts as novel corrosion inhibitors for AZ91 magnesium alloy in saline environment.

Authors:  Haonan Li; Min Fan; Kui Wang; Xiaolan Bian; Haiyan Jiang; Wenjiang Ding
Journal:  Sci Rep       Date:  2022-05-05       Impact factor: 4.996

2.  Investigation of Changes in Saliva in Radiotherapy-Induced Head Neck Cancer Patients.

Authors:  Christina Winter; Roman Keimel; Markus Gugatschka; Dagmar Kolb; Gerd Leitinger; Eva Roblegg
Journal:  Int J Environ Res Public Health       Date:  2021-02-09       Impact factor: 3.390

  2 in total

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