Synovial Sarcoma of the Thyroid Gland, Diagnostic Pitfalls and Clinical Management
Bibliographic record
Abstract
BACKGROUND/AIM: Synovial sarcoma is a soft tissue sarcoma that tends to affect young adults. There are few reports on primary synovial sarcoma of the thyroid and the aim of this study was to document the clinical and pathological features of synovial sarcoma occurring at this site. CASE PRESENTATION: A retrospective review of a prospectively maintained database was performed to identify patients with synovial sarcoma of the thyroid treated at the Royal Marsden Hospital between 2000 and 2017. Five patients were identified that underwent initial surgical management of localized disease. The mean age at presentation was 38 years, and male to female ratio was 4:1. In 3 out of 5 cases, the diagnosis of synovial sarcoma was made on the post-operative excision specimen. Two of these patients were treated at our institution on the development of metastatic disease. We conducted a literature review and identified 12 previously reported cases of synovial sarcoma of the thyroid. CONCLUSION: Synovial sarcoma of the thyroid is rare and can be challenging to diagnose. The clinical presentation is typically indistinguishable from that of thyroid cancer and most cases are diagnosed post-operatively on an excision specimen. The clinical and pathological features are similar to synovial sarcoma arising at other sites. In our experience, the rarity of the diagnosis can lead to difficulty in establishing the correct diagnosis and determining the appropriate treatment pathway. It is important that physicians are aware of this diagnosis to facilitate prompt referral to a specialist centre, for specialist follow-up and treatment which is different to the thyroid cancer pathway.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".