A Primary Peritoneal Serous Carcinoma Metastasizing to the Stomach Mimicking a Submucosal Tumor: A Potential Pitfall of Clinical Diagnosis
Bibliographic record
Abstract
A primary peritoneal serous carcinoma (PPSC) usually presents as peritoneal dissemination. We report a case of gastric metastasis from PPSC mimicking a primary gastric submucosal tumor (SMT). A 62-year-old woman presented to our hospital with abundant ascites, omental caking, and normal-sized ovaries. Cellblock analysis of ascite specimens indicated high-grade serous Müllerian carcinoma. Gastrointestinal endoscopy detected a 4-cm SMT, which was not gastric cancer, on the gastric antrum. A clinical diagnosis of PPSC was rendered. After chemotherapy, the gastric SMT reduced in size. Following this, the patient underwent complete resection of the residual tumors including gastric SMT. Pathological examination revealed that the gastric lesion was metastasis from PPSC. The assumption that an SMT lesion is a benign primary gastric tumor not requiring surgical resection may hinder optimal tumor debulking. Therefore, preoperative biopsy should be considered, if the situation allows. J Med Cases. 2016;7(11):480-483 doi: https://doi.org/10.14740/jmc2664w
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 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".