Radiation management of a late thoracic metastasis from an intracranial solitary fibrous tumour
Bibliographic record
Abstract
Solitary fibrous tumours (SFTs) are a rare soft tissue sarcoma. We present a case of a male patient with an SFT of the right posterior fossa, with a late metastasis to the right lung and chest wall identified 18 years later.A small number of late metastases of SFTs have previously been reported. Metastases are typically managed surgically, although there is limited evidence suggesting that radiotherapy may be effective for primary SFTs.In this case, the patient declined treatment for his metastasised cancer for 5 years. He then only agreed to radiation treatment without surgery, which uniquely resulted in excellent symptom relief and durable local control. This case illustrates the importance of further research on the role of radiation in managing SFTs, the value of long-term follow-up and the necessity of exploring barriers to care.This case also highlights issues regarding barriers to care related to late diagnoses of recurrence in rare tumours. In this case, at the time of recurrence the original tissue blocks were not available for review. The patient had moved to a different province where his former records were not easily accessible, and the original tissue blocks had been discarded. In that jurisdiction, laboratories must keep cytology slides for 5 years, histopathology slides for 10 years and paraffin blocks for 2 years. This contributed to a misdiagnosis of the recurrence as an Ewing sarcoma, resulting in the patient initially declining treatment at the time of disease recurrence, and leading to a long-standing mistrust of his physicians which impacted his decision-making.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".