A rare case of mixed adenoneuroendocrine carcinoma mimicking acute appendicitis
Bibliographic record
Abstract
Mixed adeno-neuroendocrine carcinoma (MANEC) is an uncommon pathological diagnosis newly acknowledged by the World Health Organization in 2010. MANEC is a neoplasm with significant histological heterogeneity and characterized by the concurrent presence of both adenocarcinomatous and neuroendocrine differentiation. Here, we report the case of a 34-year-old woman presenting to our Emergency Department with severe abdominal pain, peritonism, marked neutrophilia, and anemia. In the suspicion of an acute appendicitis, the patient underwent an abdominal Ultrasound revealing in the right iliac fossa the presence of a hypo-anechoic lesion associated with a hyperechoic appearance of the neighboring perivisceral adipose tissue. Subsequently, a contrast-enhanced abdominal Computed Tomography was performed, showing a polylobed lesion, with peripheral contrast enhancement and hypodense central core, not dissociable from the last ileal loop and from the cecum. Abdominal surgery was then performed: the histological examination on the surgical sample proved a small cell neuroendocrine intestinal carcinoma with well differentiated adenocarcinoma’s areas.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".