Image-Guided Transnasal Endoscopic Techniques in the Management of Orbital Disease
Bibliographic record
Abstract
PURPOSE: To assess the utility of image-guided transnasal endoscopic surgery for a variety of orbital diseases requiring decompression of at least one orbital wall. METHOD: A descriptive case series of consecutive orbital procedures requiring decompression of at least one wall. All procedures were performed using a transnasal endoscopic approach and an intraoperative image-guided LandmarX system for anatomical guidance. RESULTS: A 3-year review yielded 17 cases, including 6 cases with compressive mucoceles, 4 neoplasms, 4 patients with proptosis secondary to Graves' Ophthalmopathy, 1 case of an intraorbital abscess, 1 fungal mycetoma, and 1 hemangioma. These cases all had improved postoperative clinical status without any serious complications. The LandmarX system was a valuable intraoperative tool in all 17 cases. CONCLUSIONS: The endoscopic transnasal approach to orbital decompression surgery allows for good visualization and is minimally invasive. Using this approach in conjunction with the LandmarX image-guided system allows for improved anatomical localization and provided good results in all cases.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".