Patellar Height Is Not Altered When the Knee Axis Correction Is Less than 15 Degrees and Has Good Short-Term Clinical Outcome
Bibliographic record
Abstract
The objectives of our study were to evaluate (1) patellar height changes when the knee axis correction was < 15 degrees and (2) the clinical effect after open wedge high tibial osteotomy (OWHTO). Sixty-nine patients (69 knees) undergoing OWHTO between January 2016 and June 2017 were enrolled in this prospective study. All patients underwent OWHTO using a three-dimensional (3D)-printed patient-specific instrument. We used X-ray and lower-limb computed tomography scan to measure the osteotomy angle, patellar height, and other patellofemoral joint indices. We used the hospital for special surgery knee (HSS), Western Ontario and McMaster Universities Arthritis Index (WOMAC), and Kujala's scores to evaluate the clinical outcome. All knee axis corrections were less than 15 degrees. The change in posterior tibial slope (PTS) did not show a statistically significant difference. We observed that the patellar height was not altered when we used femur referenced measurement method. The change in modified Miura-Kawamura index (MKI) and Femoral patellar height index (FPHI) did not show a statistically significant difference. The differences in Blackburne-Peel index (BPI) and Caton-Deschamps index (CDI) were statistically significant, decreasing from 0.91 ± 0.12 and 1.06 ± 0.11 preoperatively to 0.79 ± 0.13 and 0.95 ± 0.11 postoperatively, respectively. In the axial plane, we did not observe a change in lateral patellar shift (LPS), but we found that lateral patellar tilt (LPT) showed a significant decrease from 8.67 ± 2.60 degrees preoperatively to 6.13 ± 2.30 postoperatively, respectively. The tuberositas tibae-trochlear groove (TT-TG) distance showed a significant decrease after OWHTO from 14.30 ± 4.10 mm preoperatively to 11.52 ± 3.63 mm postoperatively. The clinical score showed a significant increase after OWHTO, and all patients were satisfied with the outcome. After OWHTO, the patellar height was not altered when the knee axis correction was < 15 degrees. It was also found that there was still lateral displacement of the patella. Internal rotation of the distal tibia is an important cause of LPT reduction. After OWHTO, all patients achieved satisfactory clinical outcomes. At 1-year short-term follow-up, patients did not report discomfort in the patellofemoral joint. The Level of Evidence for this study was IV.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".