EBRA-FCA: A METHOD FOR MIGRATION MEASUREMENT OF FEMORAL COMPONENTS OF THRs IN DIGITAL STANDARD RADIOGRAPHS PETER MAYRHOFER, revisited April 2012 Department.

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EBRA-FCA: A METHOD FOR MIGRATION MEASUREMENT OF FEMORAL COMPONENTS OF THRs IN DIGITAL STANDARD RADIOGRAPHS PETER MAYRHOFER, revisited April 2012 Department of Engineering Mathematics, Geometry and Computer Science, University of Innsbruck, Austria

EBRA-FCA (for Femoral Component) 2-dimensional method calibration by head diameter comparability algorithm also applicable to hip x-rays PARAMETERS FOR subsidence of the stem angle between bone axis and stem axis Department of Engineering Mathematics, Geometry and Computer Science, University of Innsbruck, Austria

FCA LANDMARKS min. 3 points on head contour 4 points defining stem axis greater and lesser trochanter prosthetic shoulder 8 points on femoral contour Department of Engineering Mathematics, Geometry and Computer Science, University of Innsbruck, Austria

FCA PARAMETERS subsidence of stem angle between stem and bone axes medial & lateral distances stem axis - bone contour Department of Engineering Mathematics, Geometry and Computer Science, University of Innsbruck, Austria

FCA GRAPHICS PROGRAM PRINTER EXCEL Department of Engineering Mathematics, Geometry and Computer Science, University of Innsbruck, Austria

a FCA ACCURACY Application of a comparability algorithm with respect to the parameters a, b and c leads to an accuracy for stem subsidence of +/- 1.5mm (95% CL) b c J Bone Joint Surg Br. 1999 Mar;81(2):266-72. Accuracy of EBRA-FCA in the measurement of migration of femoral components of total hip replacement. Einzel-Bild-Rontgen-Analyse-femoral component analysis. Biedermann R, Krismer M, Stockl B, Mayrhofer P, Ornstein E, Franzen H. Department of Engineering Mathematics, Geometry and Computer Science, University of Innsbruck, Austria

FCA ACCURACY Thus FCA underestimates migration. FCA detects stem subsidence > 1mm with a specificity of 100% and a sensitivity of 78%. This means, that stable implants will be recognized in any case. Migrating prostheses will be found out only in 78% cases at that early stage. Thus FCA underestimates migration. Department of Engineering Mathematics, Geometry and Computer Science, University of Innsbruck, Austria