The Knee

Excel table with the data analyzed for the study. Pre-operative full-leg standing radiographs (one observer in two occasions separated 6 weeks in time) and and supine non-weight-bearing computed tomography-scan-based 3D models measurements.

Thick tibial tray vs thin tibial tray, 70 vs 70

study about painful knee arthroplasties

The working database is uploaded with patient study IDs but I have removed patient names to preserve confidentiality

The datas are overall strain and sub-regional strain of the anterolateral ligament induced by tibial internal rotation at different knee flexion angles. The video is a dynamic display of strain distribution of the anterolateral ligament duiring internal rotation at 90° of knee flexion.

Aims: The aim of the present study was to investigate whether the predictability of frontoparallel trunk rotations (lateral body sway) could serve as a frame of reference to monitor recovery after total knee arthroplasty (TKA). Methods: Before surgery, 11 TKA patients were asked to perform a treadmill walking task at three different speeds. In addition, their gait abilities were scored on three standard clinical walking tests. The treadmill walking task was repeated at three different timepoints following surgery, i.e., at 3, 6 and 12 months post-TKA. The movements of the trunk were digitized with an inertial sensor to capture the amplitude and the sample entropy (SEn) of the lateral body sway that were evaluated in separate ANOVAs. Results: Before surgery the TKA group showed larger body sway (P = 0.025) with smaller SEn values (P = 0.038), which both restored to levels of healthy adults in the 12 months following surgery. Systematic correlations between the SEn values and the clinical test scores were found. Conclusions: The current findings show that movement behavior of the trunk in the frontoparallel plane was affected by knee osteoarthritis and suggest that the predictability of the lateral body sway may serve as an index of recovery after TKA. In this collection, you can find information about the experimental protocol (01. Experiment), datasets (both raw and (pre)processed data) (02. Data), Matlab scripts (03. Scripts) and statistical analysis (04. Data analysis).