The buccinator flap
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: This article reviews the buccinator flap, its relevant surgical anatomy, surgical technique, and applications in head and neck reconstruction. RECENT FINDINGS: Reconstruction of defects after extirpation of head and neck neoplasms can be challenging and complex. Various reconstructive techniques, including skin grafts, regional flaps, and free tissue transfer, can be employed in restoration of form and function after ablative surgery. Although a wide array of reconstructive options is available, the technique employed will largely depend on the surgeon preference and experience. Commonly used pedicled flaps and free tissue transfer techniques can share several disadvantages, including prolonged operative time, poor cosmesis, donor site morbidity, functional limitations, and excessive tissue bulk for intraoral reconstruction. The ideal reconstructive method would adhere to the plastic surgery principle of replacement of 'like with like'. The ease of dissection and useful application makes the buccinator flap an excellent additional reconstructive option for the head and neck surgeon. SUMMARY: The buccinator myomucosal flap is a versatile and dependable flap for head and neck reconstruction. Its minimal donor site morbidity, pliability, ease of elevation, and flexible usage while offering optimal functional and cosmetic results make it a viable option for select defects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it