Osteoclastic-Type Giant Cell Tumours of the Pancreas: A Homogenous Series of Rare Tumours Diagnosed by Endoscopic Ultrasound
Bibliographic record
Abstract
BACKGROUND: Giant cell tumors (GCT) of the pancreas are a rare form of pancreatic cancer. Although data are limited, clinical outcomes appear to depend largely on histological subtype with osteoclastic tumors carrying a better prognosis. We report on a homogenous series of patients with osteoclastic-type GCTs of the pancreas presenting to a national pancreatico-biliary gastrointestinal oncology center. METHODS: Patients underwent endoscopic, radiological and histopathological assessments. Data were collected in relation to consecutive patients presenting with osteoclastic-type tumors of the pancreas and analyzed with survival as a primary end point. RESULTS: Four patients were treated over a 4-year period. Median age was 77 years with equal gender distribution. Median tumor size was 42 mm. Histology was osteoclast-type giant cells in all 4 patients. Two patients underwent surgery with curative intent. Median overall survival was 13.1 months. CONCLUSION: This is the largest reported series of osteoclast-type histology in GCTs of the pancreas.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".