Modified palatal flap via soft palate for skull base reconstruction
Bibliographic record
Abstract
OBJECTIVE: Given the importance of vascularized flaps, this study presents a new technique for reconstructing skull defects using a pedicled palatal flap via the soft palate. METHODS: Five preserved cadaveric specimens were used to demonstrate the sequential steps involved in harvesting the palatal flap. In addition, 20 normal paranasal sinus computed tomography scans were analyzed to determine potential measurements of the flap (area, perimeter, greatest anteroposterior distance, and greatest transverse distance). RESULTS: The average flap area in females and males was 11.8cm2 and 12.7cm2, respectively. The average perimeter in females and males was 13.5cm and 14.0cm, respectively. In all cases, the flap reached the infratemporal fossa and lower clivus. CONCLUSION: The palatal flap via the soft palate described in this study proved to be a metrically viable alternative in cadaveric and tomographic studies for use in endonasal surgeries, as well as for skull base and adjacent regions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".