НАШ ОПЫТ ПРИМЕНЕНИЯ КОСТНО-ХРЯЩЕВОЙ АУТОПЛАСТИКИ В ЛЕЧЕНИИ ПАЦИЕНТОВ С ОСТЕОХОНДРАЛЬНЫМИ ДЕФЕКТАМИ НАДКОЛЕННИКА
Bibliographic record
Abstract
Objective: to evaluate the effectiveness of bone-cartilage autoplasty in the treatment of patients with osteochondral patellar defects. Materials and methods. The study analyzed the results of surgical treatment of 7 patients for the period from 2012 to 2023 inclusive. All patients underwent inpatient treatment at the Department of Traumatology and Orthopedics No. 2 Clinics of Samara State Medical University (SamSMU). All patients had a defect of patellar cartilage on the background of osteoarthritis of the knee joint with a predominant lesion of the patellofemoral joint (patellofemoral arthrosis). Bone-cartilaginous autoplasty of the articular surface of the patella was used as an operation. Clinical evaluation of treatment results was carried out on the basis of the methods recommended by OARSI (Osteoarthritis Research Society International) before surgery and at 3, 6 and 12 months after surgery: VAS (Visual Analog Scale), WOMAC Index (Western Ontario and McMaster University Osteoarthritis Index) and M. Lequesne algofunctional index were determined. The condition of bone-cartilage tissue in the defect area before surgery and after bone-cartilage autoplasty was assessed using radiography and magnetic resonance imaging. Results and discussion. We noted that according to the studied indices and scales, the greatest positive dynamics was observed in the early postoperative period (3 months), the peak reached by 6 months, and full functional recovery occurred by 12 months (return to sports, high-intensity work). The most complete restructuring as a result of the examination of 7 patients according to radiography and MRI, we noted at the time of 6 months, when we see a complete restructuring of the patellar cartilage tissue, as well as the greatest signs of autograft integration in the subchondral zone. Conclusions. The use of bone-cartilage autoplasty as a method of surgical treatment in patients with osteochondral injuries of the patella in clinical practice is effective, expedient and its use in clinical practice is recommended from the standpoint of restoring the function of the knee joint, which leads to an improvement in the quality of life of patients. Nevertheless, its application requires taking into account all anatomical and functional features of the patellofemoral articulation.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".