Pilomatrixoma of the Periorbital Region: A Retrospective Review
Bibliographic record
Abstract
PURPOSE: Pilomatrixoma is a benign cutaneous adnexal tumor that differentiates toward hair follicle cells. It infrequently occurs in the periorbital region. In the periorbital area, it is often located in the upper eyelid and eyebrow region. Periorbital pilomatrixoma is often misdiagnosed clinically and is less common than other benign skin tumors. In this retrospective review, we evaluate the demographic, clinical, and histopathological data of patients with periorbital pilomatrixoma, treated from 2010 to 2023. METHODS: A retrospective analysis of periorbital pilomatrixoma cases treated during a period of 13 years was performed. Deidentified data in relation to the age at surgical excision, gender, location, size, histopathological features, treatment, and recurrence were collected. All histological slides were reviewed by an attending histopathologist. RESULTS: A total of 77 cases of periorbital pilomatrixoma were diagnosed by histopathological examination and treated from 2010 to 2023. A slight female preponderance (56%) was noted, and the majority of cases (52%) were presented in the first 2 decades of life. The left periorbital region was involved in 45.5% of cases, and 54.5% in the right. The upper lid was the most affected site. Two cases of recurrence were reported. No malignant transformation was noted. CONCLUSIONS: Pilomatrixoma is an uncommon benign periorbital tumor, commonly misdiagnosed clinically. Ophthalmologists and surgeons should suspect pilomatrixoma in the periorbital region, especially in children or young adults. Complete surgical excision is curative, and recurrence is rare.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".