Giant splenic cyst and solid pseudopapillary tumour of the pancreas managed with distal pancreatectomy and splenectomy
Bibliographic record
Abstract
Solid pseudopapillary tumours of the pancreas and giant splenic cysts are very rare entities, and their coexistence in a young female patient has not been previously reported in the literature. We present the case of a 27-year-old woman who presented with abdominal pain and two masses on abdominal imaging. A mass located in the right upper quadrant was biopsied, and histological and immunohistochemical analysis showed a solid pseudopapillary tumour of the pancreas. A giant cystic splenic lesion was also noted. The patient underwent a distal pancreatectomy and splenectomy in our referral centre. Margins were negative on histopathological examination. Negative surgical margins were achieved with distal pancreatectomy and splenectomy despite the large size of the pancreatic tumour. The management of solid pseudopapillary tumours of the pancreas is often challenging and the concomitant presence of a giant splenic cyst poses additional challenges to the surgical management of such tumours.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".