Inferior Turbinate Arterial Supply: Histologic Analysis and Clinical Implications
Bibliographic record
Abstract
OBJECTIVE: To study the arterial architecture of the normal inferior turbinate. DESIGN: A prospective, nonrandomized, histologic study. MAIN OUTCOME MEASURES: Fourteen samples were removed at autopsy and during septoplasty operations, processed in the usual manner, stained with hematoxylin-eosin, and investigated microscopically. The analysis included data on the number, location within or outside the bone, the mean area, wall thickness, and distance the arteries traverse from the point of entrance into the bone to the point of exit into the soft tissue. RESULTS: One to three arteries enter the inferior turbinate posteriorly. In 7 of 14 inferior turbinates (50%), the arteries lie within the bone and in 2 (14%) within the soft tissue, and in 5 (36%), a mixed pattern was observed. The arteries run along a mean of 1.2 +/- 0.49 cm before piercing the bone into the soft tissue and split off to one to six branches. The mean area and the mean wall thickness of the arteries at the entrance into the bone posteriorly were significantly greater than that of the arteries emerging from the bone and entering the soft tissue anteriorly (0.099 +/- 0.056 mm2 vs 0.051 +/- 0.022 mm2 [p < .01] and 0.116 +/- 0.042 mm vs 0.083 +/- 0.031 mm [p < .05], respectively). The inferior mucosal layer lacks major arteries. CONCLUSION: Given the data presented here, the excision of the inferior mucosal layer and the anterior portion of the inferior turbinate bone distal to the point of arterial exit constitute a relatively low risk for postoperative arterial bleeding.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".