Primary Jejunal Adenocarcinoma Presenting as Bilateral Ovarian Metastasis
Bibliographic record
Abstract
Small intestinal tumors are rare with adenocarcinoma of the small intestine accounting for less than 2% of all gastrointestinal cancers. Primary jejunal adenocarcinoma constitutes a minute portion of small intestine adenocarcinomas. Clinically, this cancer presents at latter stages of its progression, mainly due to vague and non-specific symptoms, and the difficulty encountered in accessing the jejunum on upper endoscopy. Diagnosis of jejunal adenocarcinoma is usually inconclusive with the use of computed tomography (CT) scan, small bowel series, or upper endoscopy. Laparoscopy followed by frozen section biopsy provides a definitive diagnosis. In the past decade, balloon-assisted enteroscopy (BAE) and capsule endoscopy have become popular as useful modalities for diagnosing small bowel diseases. Wide excisional jejunectomy is the only treatment option with an estimated 5-year survival of 40-65%. Physicians are advised to suspect jejunal adenocarcinoma as a differential diagnosis in patients who present with non-specific symptoms of abdominal pain, nausea, vomiting, weight loss, anemia, gastrointestinal bleeding or signs of small bowel obstruction. We present a rare case of a 37-year-old woman with suspected bilateral ovarian masses, which was immunohistochemically confirmed as primary jejunal adenocarcinoma with bilateral ovarian metastasis.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".