Salivary duct carcinoma: Treatment, outcomes, and patterns of failure
Bibliographic record
Abstract
BACKGROUND: Salivary duct carcinoma is rare, with distinct morphology and behavior. We reviewed our institutional experience with salivary duct carcinoma, aiming to characterize clinical behavior and treatment outcomes. METHODS: All salivary duct carcinomas treated curatively between 1999 and 2010 were reviewed. Overall survival (OS), locoregional control, distant control, and patterns of failure were analyzed. Multivariate analysis identified predictors of OS. RESULTS: Fifty-four patients with salivary duct carcinoma (parotid gland = 49; submandibular gland = 5) were included in the analysis. Fifty-three patients underwent primary surgery, and 48 (89%) received postoperative radiotherapy (RT; median dose = 60 Gy). Median follow-up was 5.7 years. The 5-year OS, locoregional control, and distant control were 43%, 70%, and 48%, respectively. Nine local (6 involving facial nerve), 10 regional, and 28 distant failures were identified. Multiple pathologic involved lymph nodes (pN2b/N2c) predicted reduced OS (hazard ratio [HR] = 3.6; p = .02). CONCLUSION: Distant recurrence is common. Presence of pN2b/N2c disease is associated with reduced OS. Local recurrence frequently involves the facial nerves. © 2015 Wiley Periodicals, Inc. Head Neck 38: E820-E826, 2016.
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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 | 0.002 |
| 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 | 0.000 | 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 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".