Anteriorly Based Inferior Turbinate Flap for Endoscopic Skull Base Reconstruction
Bibliographic record
Abstract
OBJECTIVE: In the absence of the nasal septal flap, there is limited ability to reconstruct the anterior skull base because of the paucity of alternative intranasal vascularized flaps. In this article, the authors describe the anteriorly pedicled inferior turbinate flap (AITF) as a method for endoscopic reconstruction of anterior skull base defects. STUDY DESIGN: A case series with chart review of the demographic, clinical, surgical, and early follow-up data of patients who underwent endoscopic reconstruction of skull base defects by the AITF. SETTING: An academic cancer center. METHODS: The nature of the arterial blood supply of the inferior turbinate from the anterior ethmoidal artery was exploited to design an anteriorly pedicled flap. Flap survival, adequacy of the seal, and rate of complications were assessed. RESULTS: Seven patients were suitable to undergo anterior skull base reconstruction using the AITF with or without combinations with other flaps. Each had a high-flow intraoperative cerebrospinal fluid (CSF) leak. The reconstruction achieved covering of the anterior skull base, including the frontal sinus and cribriform plate, with no postoperative CSF leaks or any other complications. CONCLUSION: The AITF is well tolerated and is associated with good outcomes. Its length and angle of rotation allow reconstruction of skull base defects in the posterior frontal sinus wall and cribriform plate, especially when traditional reconstruction techniques are not possible.
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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 | 0.000 |
| 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 | 0.000 |
| 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".