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, & 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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Item Type:	Journal Articles
Refereed:	Yes
Status:	Published
Abstract:	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.
Official URL:	https://www.tandfonline.com/doi/full/10.1080/10255...
Depositor:	Ayena, Johannes
Owner / Manager:	Neila Mezghani
Deposited:	16 Jan 2023 19:50
Last Modified:	07 Aug 2024 19:13

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