Multimodal data analysis of knee osteoarthritis assessment: factors selection for conservative care decision making [r-libre/2837]

Bensalma, Fatima; Mezghani, Neila; Cagnin, Alix; Fuentes, Alexandre; Lenoir, Laurène et Hagemeister, Nicola (2022). Multimodal data analysis of knee osteoarthritis assessment: factors selection for conservative care decision making. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2022.2066973

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Catégorie de document :	Articles de revues
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	When assessing a patient with knee osteoarthritis (OA), a number of factors are considered to guide treatment plan, namely, demographic, radiographic, clinical, musculoskeletal, and biomechanical factors. The aim of this study is to identify which of these factors are the most related to each other to potentially better prioritize the modifiable factors to be addressed as they may influence treatment outcomes. We investigated a multimodal canonical correlation analysis to evaluate associations between these factors. The analysis was performed on 415 OA patients who were not candidates for knee arthroplasty, to identify factors that are associated to the patients’ clinical conditions.
Adresse de la version officielle :	https://www.tandfonline.com/doi/full/10.1080/10255...
Déposant:	Ayena, Johannes
Responsable :	Neila Mezghani
Dépôt :	16 janv. 2023 19:50
Dernière modification :	07 août 2024 19:13

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