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Research article
Shigeo Hagiwara
Corresponding Author
ORCiD: https://orcid.org/0000-0002-2734-8408
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Background: We investigated the reliability of measurement of the alignment and position of the prosthetic components after total hip arthroplasty (THA) using three-dimensional computed tomography (CT)-based postoperative evaluation software.
Methods: We evaluated the postoperative CT data from 20 hips in 20 patients, using postoperative evaluation software. The alignment and three-dimensional positioning of the cup and stem were assessed by eight orthopedic surgeons for repeatability (intraobserver reliability) and reproducibility (interobserver reliability) of postoperative evaluation software using intra-class correlation coefficients (ICC). The radiographic inclination (RI) and radiographic anteversion (RA) of the cup, and anteversion, varus-valgus angle and flexion-extension angles of the stem were measured for alignment. The implant positioning was measured along three axes, X-axis (transverse), Y-axis (sagittal), and Z-axis (longitudinal).
Results: The intra- and inter-observer ICC of alignment measurement were very good for both cup and stem (0.86–1.00). The intra-observer and inter-observer ICC of cup positioning were very good in X-axis and Y-axis (0.91–0.94) and good in Z-axis (0.68–0.80). The intra-observer and inter-observer ICC of implant positioning were very good for the stem (0.98–0.99) for all axes.
Conclusion: CT-based postoperative evaluation software was able to evaluate the position of total hip implants with high reproducibility.
Keywords
Total hip arthroplasty, CT-based templating, Postoperative analysis, intra-class correlation coefficients, postoperative evaluation software
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Shigeo Hagiwara
Corresponding Author
ORCiD: https://orcid.org/0000-0002-2734-8408
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 20 Jul, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Orthopedics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: We investigated the reliability of measurement of the alignment and position of the prosthetic components after total hip arthroplasty (THA) using three-dimensional computed tomography (CT)-based postoperative evaluation software.
Methods: We evaluated the postoperative CT data from 20 hips in 20 patients, using postoperative evaluation software. The alignment and three-dimensional positioning of the cup and stem were assessed by eight orthopedic surgeons for repeatability (intraobserver reliability) and reproducibility (interobserver reliability) of postoperative evaluation software using intra-class correlation coefficients (ICC). The radiographic inclination (RI) and radiographic anteversion (RA) of the cup, and anteversion, varus-valgus angle and flexion-extension angles of the stem were measured for alignment. The implant positioning was measured along three axes, X-axis (transverse), Y-axis (sagittal), and Z-axis (longitudinal).
Results: The intra- and inter-observer ICC of alignment measurement were very good for both cup and stem (0.86–1.00). The intra-observer and inter-observer ICC of cup positioning were very good in X-axis and Y-axis (0.91–0.94) and good in Z-axis (0.68–0.80). The intra-observer and inter-observer ICC of implant positioning were very good for the stem (0.98–0.99) for all axes.
Conclusion: CT-based postoperative evaluation software was able to evaluate the position of total hip implants with high reproducibility.
Figure 1
Figure 2
Figure 3
Figure 4
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