J 2023

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

OLSOVSKA, Eva, Kristina CABANOVA, Oldrich MOTYKA, Hana BIELNIKOVA KRYSTOFOVA, Petra MATEJKOVA et. al.

Basic information

Original name

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

Authors

OLSOVSKA, Eva (203 Czech Republic), Kristina CABANOVA (203 Czech Republic), Oldrich MOTYKA (203 Czech Republic), Hana BIELNIKOVA KRYSTOFOVA (203 Czech Republic), Petra MATEJKOVA (203 Czech Republic), Jirf VOVES (203 Czech Republic), Vladimfr ZIDLIK (203 Czech Republic), Roman MADEJA (203 Czech Republic), Jiří DEMEL (203 Czech Republic, belonging to the institution), Jan HALFAR (203 Czech Republic) and Jana KUKUTSCHOVA (203 Czech Republic)

Edition

Environmental Toxicology and Pharmacology, Amsterdam, Elsevier Science B.V. 2023, 1382-6689

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30212 Surgery

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 4.300 in 2022

RIV identification code

RIV/00216224:14110/23:00133659

Organization unit

Faculty of Medicine

UT WoS

001097249400001

Keywords in English

Traumatology; Biopsy samples; Metal-based particles; Automated analysis in the area; Scanning electron microscopy

Tags

Tags

International impact, Reviewed
Změněno: 27/2/2024 14:06, Mgr. Tereza Miškechová

Abstract

V originále

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.