Does Differentiated Squamous Intraepithelial Neoplasia Occur in the Cervix?
Bibliographic record
Abstract
BACKGROUND: Invasive cervical cell squamous carcinoma (ICC) classically develops from high grade cervical intraepithelial neoplasia of usual type (uCIN). Differentiated cervical intraepithelial neoplasia (dCIN) analogue to differentiated vulvar intraepithelial neoplasia has not been described in the cervix. METHODS: A pilot case of ICC developing from dCIN with atypia limited to the basal/parabasal layers, focally associated with neoplastic spread above the parabasal layer (usual-like CIN pattern or u-like CIN) was identified. The previous cervical biopsy was under-diagnosed as low grade CIN. A total of 33 consecutive cases of ICC were reviewed to identify dCIN, u-like CIN and uCIN. RESULTS: The ICC developed from dCIN/u-like CIN in 2 patients, 46 and 47-year-old (group 1), mixed dCIN/u-like CIN and uCIN in 7 patients, 36±3-year-old (group 2) and from uCIN in 24 patients, 47±9-year-old (group 3). In group 1, focal uCIN but not connected to ICC was also seen and Pap smears showed only hyper-keratinized cells with mildly atypical nuclei. Endocervical gland involvement by CIN was absent in group 1, focal in group 2 and extensive in group 3. All cases showed diffuse p16 staining. P53 reactivity was noted in basal/parabasal in dCIN, predominantly lower and upper parts of the epithelium in groups 2 and 3, respectively. CONCLUSIONS: Totally, 27% of ICC cases had associated dCIN/u-like CIN and in younger patients than in the uCIN group. Larger studies are needed to confirm dCIN/u-like CIN as significant precursor lesions of ICC.
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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 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".