The Width of Invasion in Malignant Melanoma Is a Novel Prognostic Feature That Accounts for Outcome Better Than Breslow Thickness
Bibliographic record
Abstract
Breslow thickness (BT) is the cornerstone of malignant melanoma staging. However, to our knowledge no-one has ever assessed the horizontal width of invasion, measured microscopically, as a prognostic feature. This was investigated as a prognostic feature in this study. A retrospective cohort of 1329 melanoma cases was collected from patients presenting to a UK teaching hospital from January 1, 2004, to December 31, 2014. The main outcome was overall survival (OS). We found that width was associated with OS in multivariable analysis (hazard ratio=1.05, 95% confidence interval: 1.03-1.07, P<0.001) and was similarly significant for melanoma-specific survival and metastasis-free survival. Its presence rendered BT nonsignificant. The width was significantly associated with OS after adjustment for American Joint Committee on Cancer (AJCC), version 8 clinical tumor stage (hazard ratio=1.05, 95% confidence interval: 1.03-1.07, P<0.001), and bootstrap validation showed only slight model optimism. Similar associations were seen for melanoma-specific survival and metastasis-free survival. However, the combination of invasive width and BT did not account for the outcome as well as another novel histologic feature, tumor area, which was measured using the calculated tumor area method. In conclusion, this study is the first investigation of a novel histologic feature, invasive melanoma width, and demonstrates its strong independent association with outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".