The predictive Power of Surface Profile Parameters on the Amount of Wear Measured In Vitro on Metal-On-Polyethylene Artificial Hip Joints

Author:

Affatato S1,Bersaglia G1,Junqiang Yin2,Traina F13,Toni A13,Viceconti M1

Affiliation:

1. Laboratorio di Tecnologia Medica, Istituti Ortopedici Rizzoli, Bologna, Italy

2. Orthopaedic Oncology, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China

3. I Divisione di Ortopedia e Traumatologia, Bologna, Italy

Abstract

Various studies report a weak correlation between the average surface roughness Ra of metallic ballheads and the observed wear rate of the polyethylene cups coupled to them. The aim of this study is to verify, with controlled in vitro experiments, whether other parameters such as the total roughness Rt, and the skewness Rsk are better predictors of the polyethylene wear when the metallic heads present a surface conditioning that varies substantially from specimen to specimen, as is usually the case with retrieved specimens. Twelve CoCrMo (cobalt-chromium-molybdenum) ballheads were intentionally damaged in order to reproduce a wide spectrum of surface conditioning and were then subjected to the standard wear test against polyethylene cups, using a hip joint wear simulator. After 2 × 106 cycles the weight lost by the cups was assessed with a gravimetric procedure, and the surface roughness of the metallic ballheads was qualified in terms of Ra, Rt, and Rsk. The various parameters were correlated to the weight loss using a linear regression analysis. The skewness Rsk showed a coefficient linear regression R2 = 0.80, while the average roughness Ra, used in most previous studies, presented an R2 = 0.56. It was concluded that when specimens with substantially different surface conditioning are compared, as in retrievals analysis, it is also important to report the skewness Rsk so that qualify the surface roughness of the specimens can be qualified.

Publisher

SAGE Publications

Subject

Mechanical Engineering,General Medicine

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