A Minute Nonfunctioning Pancreatic Endocrine Tumor with Ductal Structures and Prominent Fibrous Stroma: Report of a Case
Bibliographic record
Abstract
症例は50 歳の女性で, 全身倦怠感を主訴に近医を受診した. 腹部超音波検査で膵体部に径1cm の腫瘍を認め, 当院紹介となった. 腹部CT では膵体部に造影効果のある径1cm の腫瘍を認め膵内分泌腫瘍が疑われたが, 腹部MRI ではT1, T2強調像ともに低信号であり, 膵内分泌腫瘍としては非典型的な所見であった. 血清CA19-9が1,459.2U/ml と高値であり, 膵管癌の可能性も否定できず, 外科的切除を施行した. 病理組織検査で腫瘍細胞は膵島類似の索状配列をなし, 一部に腫瘍細胞と連続して腺管構造を伴っていた. また, 間質が高度に線維化しており, これがMRI T2強調像で腫瘍が低信号を示した原因と考えられた. 免疫染色では内分泌細胞の部分がグルカゴンに陽性, 腺管構造の部分がCA19-9染色に陽性を示し, 非機能性膵内分泌腫瘍と診断した. 膵内分泌腫瘍の起源に関しては諸説有るが, 内分泌腫瘍細胞と腺管組織が連続性を持つことより膵内分泌腫瘍の起源として多分化能を持つ膵管上皮が考えられた.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".