A semi-automated measurement technique for the assessment of radiolucency by E. C. Pegg, B. J. L. Kendrick, H. G. Pandit, H. S. Gill, and D. W. Murray Interface Volume 11(96): July 6, 2014 ©2014 by The Royal Society

A schematic of the position of the seven defined zones surrounding the tibial implant. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society

An example of the greyscale profiles from each zone of a radiograph after processing. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society

Example of a smoothed greyscale profile of a radiolucent region, an image of the radiograph from which the profile was taken is shown and the profile is illustrated by a black line. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society

ROC curves illustrating the diagnostic capability of the radiolucent area parameter output by the software in predicting radiolucency as defined by the average data from the six surgeons, and the curves for each surgeon individually. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society

Summary of the AUC results calculated from the ROC curves for the six surgeons; error bars represent the 95% confidence intervals. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society

Boxplot of the distribution of the thickness of radiolucent lines measured by the automated program. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society

ROC curves for results from cemented and cementless components. E. C. Pegg et al. J. R. Soc. Interface 2014;11: ©2014 by The Royal Society