Use of Distant V-Y Plasty in Reconstruction of Defects on the Nasal Dorsum: A New Modification of V-Y Plasty
Bibliographic record
Abstract
Nasal reconstruction requires a good aesthetic outcome because the nose is located in the centre of the face. Two problems commonly occur after reconstruction of the nose: abnormal appearance of the new nose, and nasal airway obstruction. The nasal dorsum should be treated as a separate unit. Several local flaps have been described for reconstruction of tissue defects on the dorsum of the nose. Most of these techniques have some disadvantages, such as colour mismatch, dog-ear formation, thickness of flaps and requirement of surgery for revision. Two patients in whom the nasal dorsum was reconstructed with distant V-Y plasty are presented. Six months later, cosmetically acceptable results were obtained. The authors believe that the distant V-Y plasty is an effective alternative to the current techniques in reconstruction of the nasal dorsum. The advantages of this technique include the following: distant V-Y plasty is a safe and useful way to reconstruct medium and large defects of the nasal dorsum; it provides good texture and colour match; the resultant scar cannot cause contour deformity because it is not a bulky flap; there are no formation of dog-ear; it can be used to cover larger defects in elderly patients; it can be used under local anesthesia in almost all cases; it requires a shorter period of operating time and hospitalization; and it is less costly.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".