Influence of skull biometrics on cosmetic reconstruction after incisivectomy and nasal planectomy reconstruction in dogs
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
OBJECTIVE: To identify biometric skull measurements that are associated with tension and excess narrowing of the resultant nasal aperture during cosmetic nasal planectomy reconstruction. STUDY DESIGN: Ex vivo study. ANIMALS: Twenty cadavers of mesocephalic dogs. METHODS: Cosmetic reconstruction was performed after incisivectomy and nasal planectomy. Preoperative and intraoperative skull measurements included width of the nasal planum, rostral and caudal maxilla, labial flap, and maxilla at ostectomy site; the length of the nose, labial flap, and philtrum incision; lip thickness; and philtrum placement. Ratios of select width to length measurements were calculated. Correlation was tested between skull biometrics and tension during reconstruction as well as resulting opening of the nasal aperture. RESULTS: Breeds included golden retriever, pit bull, Labrador retriever, beagle, shepherd, basset hound, boxer mix, cocker spaniel, and Great Dane. No biometric ratios were predictive of procedural success. The most important objective measurements that were significantly correlated with inferior outcome included width of the nasal planum (>3 cm), width of the caudal maxilla (>6.2 cm), lip thickness (>0.5 cm), width of the labial flap (>2.9 cm), length of the incision created to make the cosmetic "philtrum" (longer incisions >2.8 cm), and philtrum placement (more dorsal placement). CONCLUSION: Tension during reconstruction and decreased resultant nasal aperture were associated with wider facial features and thicker lips as well as directly impacted by cosmetic philtrum design and placement. CLINICAL SIGNIFICANCE: Standardized preoperative measurements may help guide clinical decision making in choosing and executing a nasal planectomy reconstructive technique.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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