IMPLANT MIGRATION FOLLOWING GAP BALANCING AND MEASURED RESECTION TOTAL KNEE REPLACEMENT
Bibliographic record
Abstract
Background Surgeons generally perform total knee replacement using either a gap balancing or measured resection approach. In gap balancing, ligamentous releases are performed first to create an equal joint space before any bony resections are performed. In measured resection, bony resections are performed first to match anatomical landmarks, and soft tissue releases are subsequently performed to balance the joint space. Previous studies have found a greater rate of coronal instability and femoral component lift-off using the measured resection technique, but it is unknown how potential differences in loading translate into component stability and fixation. Methods Patients were randomly assigned at the time of referral to a surgeon performing either the gap balancing or measured resection technique (n = 12 knees per group). Both groups received an identical cemented, posterior-stabilized implant. At the time of surgery, marker beads were inserted in the bone around the implants to enable radiostereometeric analysis (RSA) imaging. Patients underwent supine RSA exams at 0–2 weeks, 6 weeks, 3 months, 6 months, and 12 months. Migration of the tibial and femoral components including maximum total point motion (MTPM) was calculated using model-based RSA software. Knee Society Scores were also recorded for each group. Results At 12 months follow-up, there were no revisions or adverse events. There were no differences in translation or rotation between the measured resection and gap balancing groups at 12 months, including for MTPM of the tibial component (mean 0.67 mm vs. 0.69 mm, p = 0.77, Fig. 1) and the femoral component (mean 0.71 mm vs. 0.51 mm, p = 0.25, Fig. 2). At 6 weeks, tibial components had greater (p = 0.01) anterior tilt in the measured resection group (0.08 deg) while the gap balancing group had greater posterior tilt (0.14 deg), but there were no differences from 3 months onwards (Fig. 3). Patients in both groups improved in Knee Society scores from pre- to post-operatively, with no difference in score between the groups at pre-operation (p = 0.56) or post-operation (p = 0.54). Discussion Implants in both the gap balancing and measured resection groups were well fixed after 12 months, with no differences in translations or rotations between the two groups as of the latest time points. Both surgical techniques result in adequate fixation for total knee replacement. Future work will include measuring the contact location and possible condylar lift-off with flexion within this cohort. For any figures or tables, please contact authors directly (see Info & Metrics tab above).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".