Assessment of accuracy and precision of 3D reconstruction of unicompartmental knee arthroplasty in upright position using biplanar radiography. Issue 7 (July 2016)

• Record Type: Journal Article
• Authors: Tsai, Tsung-Yuan; Dimitriou, Dimitris; Hosseini, Ali; Liow, Ming Han Lincoln; Torriani, Martin; Li, Guoan; Kwon, Young-Min
• Is Part Of: Medical engineering & physics. Volume 38:Issue 7(2016:Jul.)
• Page Start: 633
• Page End: 638
• Publication Date: 2016-07
• Subjects: Unicompartmental knee arthroplasty -- Component position -- Biplanar radiograph -- Lower limb alignment; Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2016.04.002
• Languages: English
• ISSNs: 1350-4533

Abstract

Highlights: The 3D knee alignment was assessed using biplanar radiography (EOS). Unicompartmental knee arthroplasty position was assessed using EOS imaging. The precision of the 3D component position was less than 0.29 mm and 0.66°. The precision of the 3D knee alignment was less than 1.70°. The EOS-based technique precisely determined component position and knee alignment. Abstract: This study aimed to evaluate the precision and accuracy of 3D reconstruction of UKA component position, contact location and lower limb alignment in standing position using biplanar radiograph. Two human specimens with 4 medial UKAs were implanted with beads for radiostereometric analysis (RSA). The specimens were frozen in standing position and CT-scanned to obtain relative positions between the beads, bones and UKA components. The specimens were then imaged using biplanar radiograph (EOS). The positions of the femur, tibia, UKA components and UKA contact locations were obtained using RSA- and EOS-based techniques. Intraclass correlation coefficient (ICC) was calculated for inter-observer reliability of the EOS technique. The average (standard deviation) of the differences between two techniques in translations and rotations were less than 0.18 (0.29) mm and 0.39° (0.66°) for UKA components. The root-mean-square-errors (RMSE) of contact location along the anterior/posterior and medial/lateral directions were 0.84 mm and 0.30 mm. The RMSEs of the knee rotations were less than 1.70°. The ICCs for the EOS-based segmental orientations between two raters were larger than 0.98. The results suggest the EOS-based 3D reconstruction technique can precisely determine component position, contact location and lower limb alignment for UKA patients in weight-bearing standing position.