Single-Stage Autologous Microtia Reconstruction
Bibliographic record
Abstract
Microtia reconstruction using autologous costal cartilage is one of the most challenging procedures in plastic surgery, offering long-term durability and biocompatibility. The Nagata 2-stage autologous technique involves creation of a soft tissue pocket and auricular framework from costal cartilage in the first stage, then projection of the framework in the second stage using a temporoparietal fascial flap and skin graft. However, the second stage compromises the aesthetic result due to skin graft color mismatch, edema, and contracture, while also eliminating the TPF flap as a future salvage option. Consequently, the authors present a single-stage autologous technique for microtia reconstruction with several modifications to the Nagata technique: (1) elevating the framework using a projecting block within a single stage, (2) performing wider undermining of the soft tissue pocket to accommodate this elevation, (3) adding a cranial extension to the tragus for stability, and (4) refining the contour of the inferior crus. In a series of 40 consecutive cases using the single-stage technique, our surgical complication rate was 15%, comparable to rates reported for autologous reconstruction. The single-stage approach yields reliable aesthetic and functional outcomes and maintains future revision options, making it an effective alternative for microtia reconstruction.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".