| Autor: |
Ennio Sinno, Gabriele Panegrossi, Claudio Boccia, Armando Ugo Cavallo, Francesco Falez |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Orthopaedic Reports, Vol 2, Iss 3, Pp 100180- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2773-157X |
| DOI: |
10.1016/j.jorep.2023.100180 |
| Popis: |
Purpose: Digital preoperative planning(PP) is a useful and effective tool allowing the surgeon to reduce operative time, minimize blood loss and predict sizes in total knee arthroplasty(TKA). This study aims to analyze the reliability of a specific PP software and to evaluate if experience and TKAs’ type may influence predictions. Methods: 128 cases of TKA met our criteria. Age, sex, implant type, femur(F) and tibia(T) sizes were recorded. PP was performed by three observers with different degrees of experience using MediCAD® software Version 6. Observers were blinded to sizes while knowing type of implant used. Predictions were collected and compared with sizes of TKAs actually implanted, dividing them by observer and implant type. Deviation of 1 from actual size considered reliable. Results: Of the 128 TKAs, 30 were Attune, 32 were Persona and 66 were Triathlon. T measurements showed a statistically significant difference(p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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