Accurate reconstructions of pelvic defects and discontinuities using statistical shape models. Issue 13 (2nd October 2020)

• Record Type: Journal Article
• Authors: Meynen, Alexander; Matthews, Harold; Nauwelaers, Nele; Claes, Peter; Mulier, Michiel; Scheys, Lennart
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 23:Issue 13(2020)
• Page Start: 1026
• Page End: 1033
• Publication Date: 2020-10-02
• Subjects: Statistical shape modelling -- pelvic discontinuity -- pelvic defect -- reconstruction; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2020.1784404
• Languages: English
• ISSNs: 1025-5842

Abstract

Abstract: Treatment of large acetabular defects and discontinuities remains challenging and relies on the accurate restoration of the native anatomy of the patient. This study introduces and validates a statistical shape model for the reconstruction of acetabular discontinuities with severe bone loss through a two-sided Markov Chain Monte Carlo reconstruction method. The performance of the reconstruction algorithm was evaluated using leave-one-out cross-validation in three defect types with varying severity as well as severe defects with discontinuities. The two-sided reconstruction method was compared to a one-sided methodology. Although, reconstruction errors increased with defect size and this increase was most pronounced for pelvic discontinuities, the two-sided reconstruction method was able to reconstruct the native anatomy with higher accuracy than the one-sided reconstruction method. These findings can improve the preoperative planning and custom implant design in patients with large pelvic defects, both with and without discontinuities.