P.075 Anatomy and pathology of the lacrimal apparatus: from the sac to the nasal fossa. what the neuroradiologist should know!
Bibliographic record
Abstract
Background: The aim of our educational exhibit is to review the anatomy and pathology encountered and often overlooked of the excretory lacrimal apparatus from the lacrimal sac to the nasal fossa. Methods: We will provide an anatomical review of the various structures easily identifiable on CT and MRI and suggestions of the best imaging protocols to be used. Results: The lacrimal apparatus includes the various structures related to the production and flow of tears. In this educational exhibit we will focus on the excretory apparatus from the lacrimal sac to the nasal fossa. We will present various pathologies affecting the excretory lacrimal apparatus with attention to the specific features of each condition to facilitate an appropriate differential diagnosis. We will emphasize specific anatomical/imaging findings to help the diagnosis and propose a standardized reporting system for the Neuroradiologist and useful to the ENT surgeon. Conclusions: This educational exhibit offers a unique opportunity to review the anatomy and pathology of sometimes overlooked or forgotten structures which are however always included in our CT and MRI studies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.060 | 0.024 |
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".