| Autor: |
Jingwei Zhang, Yi Hu, Hua Ying, Yuanqing Mao, Zhenan Zhu, Huiwu Li |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-10 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2474 |
| DOI: |
10.1186/s12891-022-05365-y |
| Popis: |
Abstract Background Accurate assessment of acetabular defects and designing precise and feasible surgical plans are essential for positive outcomes of hip revision arthroplasty. Additive manufacturing (AM) is a novel technique to print physical object models. We propose a three-dimensional acetabular bone defect classification system aided with AM model, and further assess its reliability and validity under blinded conditions. Methods We reviewed 104 consecutive patients who underwent hip revision arthroplasty at our department between January 2014 and December 2019, of whom 45 had AM models and were included in the reliability and validity tests. Three orthopedic surgeons retrospectively evaluated the bone defects of these 45 patients with our proposed classification, made surgical plans, and repeated the process after 2 weeks. The reliability and validity of the classification results and corresponding surgical plans were assessed using the intra-class correlation coefficient or kappa correlation coefficient. Results The reliability and validity of the classification results were excellent. The mean initial intra-class correlation coefficient for inter-observer reliability was 0.947, which increased to 0.972 when tested a second time. The intra-observer reliability ranged from 0.958 to 0.980. Validity of the classification results also showed a high kappa correlation coefficient of 0.951–0.967. When considering corresponding surgical plans, the reliability and validity were also excellent, with intra-class correlation coefficients and kappa correlation coefficients measuring all over 0.9. Conclusions This three-dimensional acetabular defect classification has excellent reliability and validity. Using this classification system and AM models, accurate assessment of bone defect and reliable surgical plans could be achieved. This classification aided with AM is a promising tool for surgeons for preoperative evaluation. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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