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Simple method for quantification of metal-based particles in biopsy samples of patients with long bone implants - Pilot study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F23%3AE0110426" target="_blank" >RIV/00843989:_____/23:E0110426 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/23:00133659 RIV/61989100:27350/23:10252822 RIV/61989100:27360/23:10252822 RIV/61989100:27640/23:10252822

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1382668923002247?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1382668923002247?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.etap.2023.104282" target="_blank" >10.1016/j.etap.2023.104282</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Simple method for quantification of metal-based particles in biopsy samples of patients with long bone implants - Pilot study

  • Original language description

    The presence of particles fixed in tissue samples due to implant degradation or disintegration plays an important role in post-operative complications. The ability to determine the size, shape, chemical composition and, above all, the number of these particles can be used in many areas of medicine. This study presents a novel, simple metal-based particle detection method using scanning electron microscopy with energy dispersive spectrometer (SEM-EDS). The presence of metal particles in biopsy specimens from long bone nail-fixated implants (10 patients with titanium steel nails and 10 patients with stainless steel nails) was studied. The samples were analysed using automated area analysis based on image binarization and brightness to 255 grayscale. The results were supplemented with histological data and statistically analysed. The method based on the software used was found to be accurate and easy to use and, thus, appears to be very suitable for particle detection in similar samples.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20902 - Bioprocessing technologies (industrial processes relying on biological agents to drive the process) biocatalysis, fermentation

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Environmental toxicology and pharmacology

  • ISSN

    1382-6689

  • e-ISSN

    1872-7077

  • Volume of the periodical

    103

  • Issue of the periodical within the volume

    article 104282

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    7

  • Pages from-to

    1-7

  • UT code for WoS article

    001097249400001

  • EID of the result in the Scopus database

    2-s2.0-85172249185