Prediction of Postoperative Outcomes After TKA Using Instrumented Insoles and DNN

Summary

This multicenter prospective observational study aims to evaluate whether preoperative clinical variables and wearable sensor-derived gait features can predict postoperative improvement after total knee arthroplasty (TKA). Participants will undergo standardized gait assessments using instrumented insoles and complete validated patient-reported outcome measures (PROMs). Prediction models including linear regression, random forest, and deep neural networks will be applied and their performance compared.

Eligibility

Inclusion Criteria:

* Age ≥ 19 years
* Diagnosed with knee osteoarthritis (Kellgren-Lawrence grade 1-4)
* Scheduled for primary Total Knee Arthroplasty (TKA) at either study site
* Able to walk independently on level ground (Functional Ambulation Categories, FAC ≥ 3)

Exclusion Criteria:

* Cancellation of scheduled TKA
* History of TKA on the same knee
* Neurological or musculoskeletal disorders affecting gait
* Pregnancy or possibility of pregnancy
* Any condition deemed inappropriate for study participation by the investigator

Conditions3

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