Laryngeal Squamous Cell Carcinomas are Commonly Associated With Differentiated Squamous Intraepithelial Neoplasia With or Without an Admixture With Usual Type of Squamous Intraepithelial Neoplasia: Clinical and Pathologic Significance
Bibliographic record
Abstract
BACKGROUND: Differentiated squamous intraepithelial neoplasia (dSIN) is a pathway in the development of invasive squamous cell carcinoma (SCC) distinct from the usual-type squamous intraepithelial neoplasia (uSIN) and has not been described in the larynx. MATERIALS AND METHODS: Sixty-nine consecutive cases of SCC were identified which included 25 dSIN, 13 uSIN, and 31 mixed dSIN+usual-like SIN (u-like SIN) cases. RESULTS: dSIN was characterized by atypical squamous cells limited to the basal/parabasal layers and u-like SIN was characterized by cytologic atypia limited to less than full thickness. Despite the lack of neoplastic involvement of the full thickness of the epithelium, these types of SIN were commonly connected with invasive carcinoma. Prior biopsies demonstrating only dSIN, without the underlying invasive SCC, were underdiagnosed in 2 cases. Because of the frequent keratinization, u-like SIN likely represents the "keratinized dysplasia" and shows changes suggestive of dSIN with upward spread of neoplastic cells into the upper layer of the epithelium. CONCLUSIONS: Laryngeal dSIN represents an important but under recognized pathway of invasive SCC development. As moderate dysplasia of uSIN type are not associated with invasive SCC, labeling u-like SIN as dysplasia of grade 2 or 3 likely leads to the controversies in the current grading systems in the upper aerodigestive system and causes confusion for clinicians.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".