Prediction of Postoperative Outcomes After TKA Using Instrumented Insoles and DNN

MI-összefoglaló

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The trial is looking for adults with knee osteoarthritis who are scheduled for a first total knee replacement. Their walking will be measured with sensor insoles before surgery.

Életkor

19 years and older

Nem

All sexes

A betegség stádiuma

Knee osteoarthritis, Kellgren-Lawrence grade 1-4. People must be able to walk on their own on level ground (FAC ≥ 3).

Korábbi kezelés

People must not have had a knee replacement on the same knee before.

A részvétel fő kizáró okai

• The planned knee replacement is cancelled
• Earlier knee replacement on the same knee
• Nerve, muscle or bone disorders that affect walking
• Pregnancy or possible pregnancy
• Any condition the study doctor judges makes joining inappropriate

A regiszter feltételei, szó szerint

Mit akar kideríteni a vizsgálat

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.

A vizsgálat csoportja

• TKA Patients

  Participants scheduled for primary unilateral total knee arthroplasty at either Yongin Severance Hospital or Gachon University Gil Medical Center. No intervention is assigned; all data are collected as part of observational evaluation.

  Kezelés: Instrumented Insole Gait Assessment