Massive Solitary Fibrous Tumor (SFT) of the infratemporal and pterygomaxillary fossa treated by combined endoscopic approach
Bibliographic record
Abstract
Solitary fibrous tumors (SFTs) were first described as spindle-cell tumors originating from the pleura. Until recently, there was some debate with regards to the name and origin of these tumors and the distinctions with the term haemangiopericytomas (HPCs), a rare type of vascular tumor . Morphological, immunohistochemical and clinical features of HPCs were not specific for one entity. With the exception of myopericytoma, infantile myofibromatosis and HPC-like lesions of the sinonasal tract showing myoid differentiation, all other HPC-like lesions are best considered as subtypes of SFT. Due to their mesenchymal origin, we are now aware that SFTs may involve several extrapleural sites including soft tissues or meninges. When SFTs involve the skull base and show malignant histological characteristics, they can be an important challenge for the surgical team. We report a case of a 54-year-old man complaining of poor vision and facial pain that had worsened over the last year. Computed tomography and magnetic resonance imaging indicated a large mass, involving the right infratemporal and pterygomaxillary fossa. A biopsy proved positive for a solitary fibrous tumor with malignant features. Surgery was performed using a combined approach of frontotemporal craniotomy and nasal endoscopy. The subtotal resection, conducted due to nodularity on the dura mater, was a success and was complemented by postoperative radiation therapy. Follow-up MRIs showed no recurrence of the tumor. To the authors’ knowledge, this is the first reported case of a massive SFT involving this region, treated with minimal invasive surgery without any facial osteotomies.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".