Synovial Sarcoma: A Clinicopathological and Radiological Study of 12 Cases Seen Over 18 Years
Bibliographic record
Abstract
BACKGROUND: Synovial sarcoma is a rare malignant soft tissue tumor characterized by a poor outcome. We report herein our experience concerning synovial sarcoma and review its diagnosis, histology, treatment and prognosis. METHODS: This is a retrospective review, from 1990 to 2007, of cases of synovial sarcoma diagnosed at the Department of Pathology, Farhat Hached hospital, Sousse, Tunisia. The clinical, radiological and pathological features as well as treatment modalities and patient's outcome were recorded. RESULTS: From 1990 to 2007, 12 cases of synovial sarcoma have been diagnosed in our department. Patients' mean age at the time of diagnosis was 21 years. There was no sex predominance and the lower extremity was the most commonly involved. A painful tumefaction was the most common presenting symptom. The duration of symptoms ranged from 6 months to 6 years. Malignancy was suspected on radiological findings in only 2 cases. Ten patients underwent surgery, in association with adjuvant chemotherapy in 4 cases, one of whom underwent post-operative radiotherapy. Histological subtypes included monophasic synovial sarcoma in 8 cases, biphasic synovial sarcoma in 3 cases and poorly differentiated synovial sarcoma in one case. At the time of analysis, 6 patients were dead with an average follow-up of 18 months. CONCLUSIONS: Synovial sarcoma is a rare malignancy with a propensity for young adults and a poor prognosis. Its symptomatology is non-specific and it is characterized by histopathological diversity. Diagnosis can be suggested by radiology and definitive diagnosis is achieved after pathological analysis.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".