Eyelid masses: A 10-year survey from a tertiary eye hospital in Tehran
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to evaluate the demographics and clinical features of eyelid masses in a tertiary eye hospital over a 10-year period. MATERIALS AND METHODS: A retrospective chart review was performed for patients admitted with eyelid tumors from 2000 to 2010. Data were collected and analyzed on the demographic features, location of the tumor, types of treatment, and pathologic findings. RESULTS: A total number of 182 patients were evaluated of which, 82 cases were benign and 100 cases were malignant neoplasms. The most common benign tumors included melanocytic nevi (35%), papilloma (19.5%), and cysts (11%). The most frequent malignant tumors included basal cell carcinoma (BCC) (83%), squamous cell carcinoma (8%) and sebaceous gland carcinoma (6%). The most common site for malignancy was the lower lid followed by the upper lid. BCC recurred in 16 cases that were most frequent in the lower lid. CONCLUSION: Melanocytic nevus, papilloma and cysts are the most common benign lesions and BCC is the most common malignant lesion in the eyelids. Recurrence is a feature of BCC especially in the lower lid.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".