Clinical Efficacy of Preoperative CT-Assisted Planning for Primary Total Knee Arthroplasty: A Pilot Randomized Clinical Trial
Bibliographic record
Abstract
This study aims to determine the mean posterior condylar angle (PCA) in the included population and its relation to coronal alignment; and to know the clinical importance of the use of preoperative computed tomography (CT) scan in total knee arthroplasty (TKA). We randomized 50 patients with primary knee osteoarthritis into 2 groups. We used CT scan axial images to measure the PCA. In the first group we followed the CT scan plan (group 1), but in the second we did not follow the plan and adjusted rotation to the standard three degrees (group 2). The mean age of the included patients was 63 years. The radiological data of the included patients showed 5 patients with valgus deformity and 45 patients with varus deformity with the mean coronal alignment of 7.5 degrees. CT scan showed the mean PCA of 3.7 degrees (1.3 degrees). The axial knee postoperative X-ray showed the mean patellar tilt angle of 2.1 degrees (0.5 degrees) and 1.9 degrees (0.5 degrees) in groups 1 and 2, respectively. The congruence angle was 4 degrees (2.6 degrees) in group 1 and 5.5 degrees (3.2 degrees) in group 2. The median Knee Society functional score in group 1 was 85 (12), while it was 84 (7.5) in group 2. The median postoperative Western Ontario and McMaster Universities Arthritis Index score in group 1 was 84 (18.6) whereas 80.2 (13.6) in group 2. The median postoperative Bartlett score in group 1 was 30 (5), while it was 30 (6) in group 2. The use of preoperative CT scan did not improve the patient functional scores after TKA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".