Journal
JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS
Volume 110, Issue 10, Pages 2276-2289Publisher
WILEY
DOI: 10.1002/jbm.b.35076
Keywords
foreign body reactions (response); implant retrieval; total joint replacement; tribology; wear debris
Funding
- EPSRC Doctoral Training Centre in Tissue Engineering and Regenerative Medicine
- York [EP/500513/1]
Ask authors/readers for more resources
Submicron-sized wear particles are potential causes of aseptic loosening, and highly sensitive wear particle isolation methods can identify them but not all types of particles. By modifying established techniques, high- and low-density materials can be successfully isolated from periprosthetic tissue samples.
Submicron-sized wear particles are generally accepted as a potential cause of aseptic loosening when produced in sufficient volumes. With the accelerating use of increasingly wear-resistant biomaterials, identifying such particles and evaluating their biological response is becoming more challenging. Highly sensitive wear particle isolation methods have been developed but these methods cannot isolate the complete spectrum of particle types present in individual tissue samples. Two established techniques were modified to create one novel method to isolate both high- and low-density materials from periprosthetic tissue samples. Ten total hip replacement and eight total knee replacement tissue samples were processed. All particle types were characterized using high resolution scanning electron microscopy. UHMWPE and a range of high-density materials were isolated from all tissue samples, including: polymethylmethacrylate, zirconium dioxide, titanium alloy, cobalt chromium alloy and stainless steel. This feasibility study demonstrates the coexistence of mixed particle types in periprosthetic tissues and provides researchers with high-resolution images of clinically relevant wear particles that could be used as a reference for future in vitro biological response studies.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available