Matted nodes as a predictor of distant metastasis in advanced-stage III/IV oropharyngeal squamous cell carcinoma
Bibliographic record
Abstract
BACKGROUND: We recently described the imaging characteristics of multiple confluent regional metastases (matted nodes) and found that this characteristic was associated with distant metastasis in patients with oropharyngeal squamous cell carcinoma (SCC). The purpose of this study was to determine if matted nodes are a predictive marker for distant metastasis. METHODS: Radiologic lymph node characteristics on 205 patients with untreated stage III/IV with oropharyngeal SCC of whom 192 had known human papillomavirus (HPV) status underwent weekly carboplatin and paclitaxel with concomitant intensity-modulated radiation therapy (IMRT) between 2003 and 2010 with a minimum of 2-year of follow-up. RESULTS: The 3-year disease-specific survival (DSS) for patients with matted nodes was 58% versus 97% with nonmatted nodes (p = .0001). The prevalence of matted nodes in the population was 20%. The positive predictive value of matted nodes for distant metastasis was 66%, and the negative predictive value was 99%. CONCLUSION: Matted nodes are a predictive marker for distant disease and can be used for planning new clinical interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".