A Review of Vascular Injection Techniques for the Study of Perforator Flaps
Bibliographic record
Abstract
BACKGROUND: With a new era of flap surgery, additional anatomical information is required. The relatively recent interest in musculocutaneous perforator flaps has once again sparked interest in the vascular anatomy of surgical flaps. There are a variety of anatomical techniques available to define the vascular anatomy of tissues of interest. In this article, the authors review vascular injection techniques available and describe the technique currently used in their laboratory. METHODS: A comprehensive review of vascular injection techniques is summarized. Barium sulfate and lead oxide in particular are reviewed in detail. RESULTS: This article reviews the historical development of vascular injection techniques, outlines current investigative methods, and expands on a radiopaque lead oxide and gelatin injection method that provides high-quality angiograms. CONCLUSIONS: The standard method for the study of perforator flap is the lead oxide-gelatin technique. However, other methods can provide complementary information on vascular anatomy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".