An assessment of the anatomical basis of the thoracoacromial artery perforator flap
Bibliographic record
Abstract
BACKGROUND: Musculocutaneous perforator flaps offer advantages over musculocutaneous flaps, including reduced donor site morbidity, more predictable reconstruction of soft tissue deformities, and a wider variety of flap options. Perforator flaps are becoming increasingly popular for many applications. In the present study, we set out to examine the various perforators of the thoracoacromial axis through the pectoralis major (PM) muscle with respect to their suitability for transfer to the head and neck region as a pedicled flap. METHODS: A series of 10 fresh cadavers were injected with lead oxide, gelatin and water (250 mL/kg) through the femoral vessels. The cadavers were cooled and the integument was removed. Perforating vessels from the underlying muscles were marked and the resulting angiograms of the integument and deep tissues were compared with the dissection notes describing the course, size and distribution of the perforating vessels. RESULTS: THE PERFORATORS THROUGH THE PM MUSCLE TO THE OVERLYING SKIN INCLUDED THREE REGIONAL GROUPS: perforators of the thoracoacromial axis; perforators of the medial intercostal vessels; and perforators of the lateral thoracic artery. The major group of perforators supplying the overlying skin was from the intercostal vessels. However, the thoracoacromial axis did consistently give rise to perforators in the upper portion of the PM muscle. In particular, there were reliable perforators from the clavicular and deltoid branches of the thoracoacromial artery. DISCUSSION: The present study illustrates the potential clinical applications of a series of perforator flaps based on the thoracoacromial axis, which may be useful in head and neck reconstructive surgery.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".