Repair of an Isolated Sternal Head Tear of the Myotendinous Junction of the Pectoralis Major Using Knotless Suture Anchors: Case Report and Literature Review
Bibliographic record
Abstract
Although considered a relatively uncommon sports injury, publications on pectoralis major (PM) injuries have increased in the last couple of decades. Knowledge of the complex anatomy of the PM muscle is important in diagnosing, understanding the complexity of the injury, and determining the suitable modality of management of these injuries. Despite the increase in publications, there is no consensus on the superiority of any proposed surgical management. We present a case of a recreational body builder who presented to our clinics with a rare pattern of isolated musculotendinous junction of the lower fibers of the PM muscle and proposed a new technique of surgical management of such injuries using knotless suture anchors and running locked suture pattern in different directions. We then conducted a comprehensive review of literature of these injuries and presented a review on the pathophysiology, the various patterns of these injuries, and the available described modalities of surgical management. Understanding the complex anatomy of the PM, the various pattens of injury, and the aid of an MRI read by an expert musculoskeletal radiologist is crucial before managing these injuries. We believe that acute surgical repair of musculotendinous junction injuries using running Krackow/Brunnell locked configuration and the use of knotless suture and anchors will provide adequate and practicable surgical repair of these injuries.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".