Alisdair MacLeod
University of Bath
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Featured researches published by Alisdair MacLeod.
Bone and Joint Research | 2016
Alisdair MacLeod; Niall Sullivan; Michael R. Whitehouse; Harinderjit Gill
Objectives Modular junctions are ubiquitous in contemporary hip arthroplasty. The head-trunnion junction is implicated in the failure of large diameter metal-on-metal (MoM) hips which are the currently the topic of one the largest legal actions in the history of orthopaedics (estimated costs are stated to exceed
Journal of Biomechanical Engineering-transactions of The Asme | 2016
Alisdair MacLeod; Hannah Rose; Harinderjit Gill
4 billion). Several factors are known to influence the strength of these press-fit modular connections. However, the influence of different head sizes has not previously been investigated. The aim of the study was to establish whether the choice of head size influences the initial strength of the trunnion-head connection. Materials and Methods Ti-6Al-4V trunnions (n = 60) and two different sizes of cobalt-chromium (Co-Cr) heads (28 mm and 36 mm; 30 of each size) were used in the study. Three different levels of assembly force were considered: 4 kN; 5 kN; and 6 kN (n = 10 each). The strength of the press-fit connection was subsequently evaluated by measuring the pull-off force required to break the connection. The statistical differences in pull-off force were examined using a Kruskal–Wallis test and two-sample Mann–Whitney U test. Finite element and analytical models were developed to understand the reasons for the experimentally observed differences. Results 36 mm diameter heads had significantly lower pull-off forces than 28 mm heads when impacted at 4 kN and 5 kN (p < 0.001; p < 0.001), but not at 6 kN (p = 0.21). Mean pull-off forces at 4 kN and 5 kN impaction forces were approximately 20% larger for 28 mm heads compared with 36 mm heads. Finite element and analytical models demonstrate that the differences in pull-off strength can be explained by differences in structural rigidity and the resulting interface pressures. Conclusion This is the first study to show that 36 mm Co-Cr heads have up to 20% lower pull-off connection strength compared with 28 mm heads for equivalent assembly forces. This effect is likely to play a role in the high failure rates of large diameter MoM hips. Cite this article: A. R. MacLeod, N. P. T. Sullivan, M. R. Whitehouse, H. S. Gill. Large-diameter total hip arthroplasty modular heads require greater assembly forces for initial stability. Bone Joint Res 2016;5:338–346. DOI: 10.1302/2046-3758.58.BJR-2016-0044.R1.
Orthopaedic Proceedings | 2018
Polak-Kraśna K.; Alisdair MacLeod; James Fletcher; Michael R. Whitehouse; Ezio Preatoni; Harinderjit Gill
Synthetic biomechanical test specimens are frequently used for preclinical evaluation of implant performance, often in combination with numerical modeling, such as finite-element (FE) analysis. Commercial and freely available FE packages are widely used with three FE packages in particular gaining popularity: abaqus (Dassault Systèmes, Johnston, RI), ansys (ANSYS, Inc., Canonsburg, PA), and febio (University of Utah, Salt Lake City, UT). To the best of our knowledge, no study has yet made a comparison of these three commonly used solvers. Additionally, despite the femur being the most extensively studied bone in the body, no freely available validated model exists. The primary aim of the study was primarily to conduct a comparison of mesh convergence and strain prediction between the three solvers (abaqus, ansys, and febio) and to provide validated open-source models of a fourth-generation composite femur for use with all the three FE packages. Second, we evaluated the geometric variability around the femoral neck region of the composite femurs. Experimental testing was conducted using fourth-generation Sawbones® composite femurs instrumented with strain gauges at four locations. A generic FE model and four specimen-specific FE models were created from CT scans. The study found that the three solvers produced excellent agreement, with strain predictions being within an average of 3.0% for all the solvers (r2 > 0.99) and 1.4% for the two commercial codes. The average of the root mean squared error against the experimental results was 134.5% (r2 = 0.29) for the generic model and 13.8% (r2 = 0.96) for the specimen-specific models. It was found that composite femurs had variations in cortical thickness around the neck of the femur of up to 48.4%. For the first time, an experimentally validated, finite-element model of the femur is presented for use in three solvers. This model is freely available online along with all the supporting validation data.
IKC & Regener8 Annual Conference 2018 – Medtech innovation: best practice | 2018
Harinderjit Gill; Alberto Casonato; Alisdair MacLeod
Bone and Joint Research | 2018
Alisdair MacLeod; Gil Serrancolí; Benjamin J. Fregly; Andrew Toms; Harinderjit Gill
The SouthWest Orthopaedic Club | 2017
James Fletcher; Alisdair MacLeod; Katarzyna Polak-Kraśna; Michael R. Whitehouse; Harinderjit Gill; Ezio Preatoni
Orthopaedic Research Society Annual Meeting | 2017
James Fletcher; Alisdair MacLeod; Katarzyna Polak-Kraśna; Sean Williams; Michael R. Whitehouse; Harinderjit Gill; Ezio Preatoni
Journal of Bone and Joint Surgery-british Volume | 2017
Elise Pegg; Harinderjit Gill; Alisdair MacLeod
Journal of Bone and Joint Surgery-british Volume | 2017
Alisdair MacLeod; Hannah Rose; Hs Gill
British Orthopaedic Research Society Annual Meeting | 2017
Alisdair MacLeod; Katarzyna Polak-Krasna; James Fletcher; Harinderjit Gill