Esophageal Cancers: A Clinicopathologic and Immunohistochemical Study of 223 Cases
Bibliographic record
Abstract
The author reviewed 950 cases of consecutive esophageal biopsies in the last 15 years in out pathology laboratory of our hospital. There were 223 malignant lesions (23.5%). The number and frequency (percentages) were as follows: 54 mild dysplasia (5.7%), 30 moderate dyplasia (3.2%), 32 severe dysplasia (3.4%), 13 carcinoma in situ (1.4%), 71 squamous cell carcinoma (7.5%), 7 primary adenocarcinoma (0.7%), 1 primary signet ring cell carcinoma (0.1%), 4 primary small cell carcinoma (0.4%), 2 primary amelanotic malignant melanoma (0.2%), 1 primary undifferentiated sarcoma (0.1%), 7 gastric cancer invasion (0.7%), and 1 primary adenoid cystic carcinoma (0.1%). In this article, the clinical, histopathologic and immunohistochemical features of these esophageal cancers were described.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".