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Hip joint center localisation: A biomechanical application to hip arthroplasty population
Vicky Bouffard, Mickael Begon, Annick Champagne, François Prince, Department of Kinesiology, University of Montreal, Montreal, Quebec H3C 3J7, Canada
Vicky Bouffard, Mickael Begon, Annick Champagne, François Prince, Laboratoire de bio-ingénierie du mouvement, Laval Campus, University of Montreal, Laval, Quebec H7N 0B6, Canada
Payam Farhadnia, Pascal-André Vendittoli, Martin Lavigne, Département d’orthopédie, Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada
Author contributions: Prince F, Lavigne M and Vendittoli PA designed the research; Bouffard V and Champagne A performed the majority of experiments; Bouffard V, Champagne A and Begon M analysed the data; Begon M and Farhadnia P contributed to analytical tools; Bouffard V wrote the paper; Champagne A, Begon M, Vendittoli PA, Lavigne M and Prince F were involved in editing the paper.
Supported by Canadian Institute of Health Science (CIHR) and Zimmer, Warsaw, United States
Correspondence to: Dr. François Prince, Department of Kinesiology, University of Montreal, Montreal, Quebec H3C 3J7, Canada. firstname.lastname@example.org
Telephone: +1-514-3436166 Fax: +1-514-3432181
Received: August 5, 2011
Revised: December 15, 2011
Accepted: August 7, 2012
Published online: August 18, 2012
AIM: To determine hip joint center (HJC) location on hip arthroplasty population comparing predictive and functional approaches with radiographic measurements.
METHODS: The distance between the HJC and the mid-pelvis was calculated and compared between the three approaches. The localisation error between the predictive and functional approach was compared using the radiographic measurements as the reference. The operated leg was compared to the non-operated leg.
RESULTS: A significant difference was found for the distance between the HJC and the mid-pelvis when comparing the predictive and functional method. The functional method leads to fewer errors. A statistical difference was found for the localization error between the predictive and functional method. The functional method is twice more precise.
CONCLUSION: Although being more individualized, the functional method improves HJC localization and should be used in three-dimensional gait analysis.