Pathological Features and Clinical Course in Patients With Recurrent or Malignant Orbital Solitary Fibrous Tumor/Hemangiopericytoma
Bibliographic record
Abstract
PURPOSE: A risk assessment score for metastasis based on age, tumor size, and mitotic figures has been suggested for nonorbital solitary fibrous tumor (SFT)/hemangiopericytoma. The authors herein examine the clinicopathological features of recurrent and metastatic orbital SFT and evaluate the existing risk assessment score for orbital SFT. METHODS: The American Society of Ophthalmic Plastic and Reconstructive Surgery Oncology Database was queried for patients with recurrent or malignant orbital hemangiopericytoma/SFT. The medical records were reviewed for clinical and pathologic findings, treatments, and outcomes. RESULTS: Eight patients from 3 institutions were identified with recurrent orbital hemangiopericytoma/SFT. Median age at diagnosis was 59 years, and 4 patients were women. The mean size of tumor was 2.1 ± 1.1 cm. All patients were initially treated with surgery and experienced local recurrence after a median of 4 (range 0.5-10) years. Five patients were treated with orbital radiation. Two patients also developed distant metastases and eventually died of their disease. Median Ki-67 was 5% (range 1-65%) and 5 mitotic figures/10 high-power fields (range 2-30). The previously described risk stratification model for nonorbital SFT did not correlate with the propensity to develop metastases in this cohort; however, both patients with distant metastasis had > 4 mitotic figures /10 high-power fields. CONCLUSIONS: In this cohort of recurrent orbital hemangiopericytoma/SFT, median time to recurrence was 4 years underscoring the importance of careful continued follow-up. The current risk stratification models have limited use for orbital lesions, mostly due to the fact that orbital SFTs are smaller than even the smallest size criteria in this risk assessment model.
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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 | 0.000 |
| 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) | 0.001 | 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".