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Simple method for quantification of metal-based particles in biopsy samples of patients with long bone implants - Pilot study.
Olsovská, Eva; Cabanová, Kristina; Motyka, Oldrich; Krystofová, Hana Bielniková; Matejková, Petra; Voves, Jirí; Zidlík, Vladimír; Madeja, Roman; Demel, Jirí; Halfar, Jan; Kukutschová, Jana.
Affiliation
  • Olsovská E; Nanotechnology Centre, CEET, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic; Faculty of Material Science and Technology, Center for Advanced Innovation Technologies, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708
  • Cabanová K; Faculty of Material Science and Technology, Center for Advanced Innovation Technologies, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic; Faculty of Mining and Geology, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708
  • Motyka O; Nanotechnology Centre, CEET, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic; Faculty of Mining and Geology, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic.
  • Krystofová HB; Faculty of Material Science and Technology, Center for Advanced Innovation Technologies, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic; Institute of Molecular and Clinical Pathology and Medical Genetics, University Hospital Ostrava and Faculty of
  • Matejková P; Faculty of Material Science and Technology, Center for Advanced Innovation Technologies, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic.
  • Voves J; Department of Trauma Surgery, University Hospital Ostrava, 17. listopadu 1790/5, Ostrava-Poruba 708 52, Czech Republic; Institute of Emergency, Medicine Faculty of Medicine, University of Ostrava, Syllabova 19, Ostrava 703 00, Czech Republic.
  • Zidlík V; Institute of Molecular and Clinical Pathology and Medical Genetics, University Hospital Ostrava and Faculty of Medicine, 17. listopadu 1790/5, Ostrava-Poruba 708 52, Czech Republic; Institute of Emergency, Medicine Faculty of Medicine, University of Ostrava, Syllabova 19, Ostrava 703 00, Czech Repub
  • Madeja R; Department of Trauma Surgery, University Hospital Ostrava, 17. listopadu 1790/5, Ostrava-Poruba 708 52, Czech Republic; Institute of Emergency, Medicine Faculty of Medicine, University of Ostrava, Syllabova 19, Ostrava 703 00, Czech Republic.
  • Demel J; Department of Trauma Surgery, University Hospital Ostrava, 17. listopadu 1790/5, Ostrava-Poruba 708 52, Czech Republic; Institute of Emergency, Medicine Faculty of Medicine, University of Ostrava, Syllabova 19, Ostrava 703 00, Czech Republic; Faculty of Medicine, Masaryk University, Kamenice 753/5,
  • Halfar J; Faculty of Material Science and Technology, Center for Advanced Innovation Technologies, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic; Faculty of Mining and Geology, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708
  • Kukutschová J; Faculty of Material Science and Technology, Center for Advanced Innovation Technologies, VSB - Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba 708 00, Czech Republic.
Environ Toxicol Pharmacol ; 103: 104282, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37769889
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Environ Toxicol Pharmacol Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Environ Toxicol Pharmacol Year: 2023 Document type: Article