Treatment of post-traumatic myositis ossificans of the anterior thigh with extracorporeal shock wave therapy.
Bibliographic record
Abstract
OBJECTIVE: This case study demonstrates the effectiveness of a novel approach to the treatment of post-traumatic myositis ossificans with extracorporeal shockwave therapy in an elite athlete. CLINICAL FEATURES: A 20 year-old male semi-professional rugby player presented with progressive pain and loss of range of motion after sustaining a severe, right quadriceps contusion nine weeks earlier. The differential diagnosis of myositis ossificans was suspected and confirmed on radiographic examination. INTERVENTION AND OUTCOME: A two week treatment protocol was undertaken consisting of three sessions of extracorporeal shockwave therapy and an unsupervised exercise program consisting of active and passive range of motion, gradual strengthening and balance exercises. The patient experienced appreciable improvements in pain and range of motion in two weeks and was able to participate in sport specific activity four weeks after presentation. SUMMARY: This case illustrates the successful conservative management of post-traumatic myositis ossificans of the anterior thigh with extracorporeal shockwave therapy and a primarily unsupervised graded exercise program within a condensed treatment time frame of 2 weeks.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 | 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".