Anatomy of the Cervicomental Region: Insights From an Anatomy Laboratory and Roundtable Discussion
Bibliographic record
Abstract
In 2015, ATX-101 (deoxycholic acid injection; Kybella in the United States and Belkyra in Canada; Kythera Biopharmaceuticals, Inc., Westlake Village, CA [an affiliate of Allergan plc, Dublin, Ireland]) was approved as a first-in-class injectable drug for reduction of submental fat. Use of a pharmacologic/injectable therapy within the submental region requires a thorough understanding of cervicomental anatomy to ensure proper injection technique and safe administration. To this end, an anatomy laboratory was conducted to review key external landmarks and important internal anatomic structures that characterize the lower face and anterior neck. External landmarks that define the boundaries of the cervicomental and submental regions were identified including the inferior mandibular border, the anterior border of the sternocleidomastoid muscle, the antegonial notch, the submental crease, the thyroid notch, and the hyoid bone. Relevant internal anatomic structures, including preplatysmal submental fat (the target tissue for ATX-101) and the platysma muscle as well as critical neurovascular and glandular tissues were revealed by dissection. Of particular interest was the marginal mandibular branch of the facial nerve because it typically courses along the inferior mandibular border near the proposed treatment area for ATX-101.
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".