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Multidisciplinary approach for in-deep assessment of joint prosthesis failure

Authors: Marco Molinari; Mattia Barbareschi; Federico Piccoli; E. Demattè; P. Dorigotti; M. Malavolta; Iole Caola; +3 Authors

Multidisciplinary approach for in-deep assessment of joint prosthesis failure

Abstract

In spite of advancement in biomaterials and biomechanics, in development of new osteo-integrative materials and coatings, and in macro- micro- component design, a non negligible fraction of the implanted prosthesis fails before the expected lifetime. A prospective observational clinical study has been conducted to define and apply a set of experimental techniques to in-deep assess the failure of joint prosthesis. Microbiological, histological and micro-structural techniques were implemented to specifically address phenomena occurring at the tissue-implant interface. Results obtained from 27 cases of prosthetic joint failure are discussed in terms of sensitivity and specificity. A procedural flow-chart is finally proposed for the assessment of joint prosthesis failure.

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Keywords

Adult, Aged, 80 and over, Male, Microbiological Techniques, Joint Prosthesis, Biocompatible Materials, Middle Aged, Prosthesis Design, Biomechanical Phenomena, Prosthesis Failure, Research Design, Materials Testing, Humans, Female, Joints, Prospective Studies, Arthroplasty, Replacement, Aged

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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