Pathologic characteristics of pancreatic cancer in Shanghai urban area:preliminary analysis of 350 cases
Bibliographic record
Abstract
Objective:To investigate the pathologic characteristics and differential diagnosis of pancreatic cancer among residents in Shanghai urban area.Methods:A population-based large case-control study was performed in patients with pancreatic cancer between December 2006 and January 2011 in Shanghai urban area.The pathologic slides from 387 cases of pancreatic cancer were collected and reviewed by five experienced pathologists.The pathologic diagnosis was determined according to WHO Classification of Tumors of the Digestive System,Fourth Edition(2010).Results:Three hundred and fifty cases(90.4%) were confirmed as pancreatic cancer.Most of the pathologic slides were obtained from resected tissues of pancreatic cancer(311/350,88.9%).The average diameter of the tumor was 4 cm,and 56.6%(n = 198) of the tumors were located in the head of pancreas.The ductal adenocarcinoma was the most common histologic subtype(n = 311,89.0%),followed by pancreatic neuroendocrine tumors(n = 15,4.3%).The most common histologic grades were Ⅱ/Ⅲ(n = 252).According to TNM staging system,40 cases had stage ⅠA,209 cases had stages ⅠB/ⅡA,and 80 cases had stage ⅡB.The perineural invasion was identified in 175 cases,and the lymphovascular and/or venous emboli were identified in 56 cases.Only one case was misdiagnosed.Conclusion:The understanding of pathology of pancreatic cancer in Shanghai urban area was improved through this pathologic review.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".