The prognostic benefits of routine staining with elastica to increase detection of venous invasion in colorectal cancer specimens
Bibliographic record
Abstract
We read with interest the article by Messenger et al 1 describing current practice patterns for the assessment of venous invasion in colorectal cancer in Ontario, Canada. The authors highlight the low reporting rates of venous invasion across the region with 70% of pathologists identifying venous invasion in fewer than 10% of cases. Such rates are some way below the Royal College of Pathologists' minimum audit threshold of 25%. The authors report that pathologists who employed elastin stains in their practice had a higher rate of detection of venous invasion; however, there was little enthusiasm for the widespread application of such a technique. In our institution, a departmental audit of 75 colorectal cancer resections between 1997 and 2000 demonstrated a prevalence of venous invasion of 18%.2 When all …
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 | 0.002 |
| 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".