DEVIL, VAAD and vLSC constitute a spectrum of HPV‐independent, p53‐independent intra‐epithelial neoplasia of the vulva
Bibliographic record
Abstract
AIMS: We aimed to characterise a large cohort of non-invasive, human papillomavirus (HPV) and p53-independent verruciform lesions, such as 'vulvar acanthosis with altered differentiation' (VAAD), 'differentiated exophytic vulvar intra-epithelial lesion' (DEVIL) and 'verruciform lichen simplex chronicus' (vLSC). METHODS AND RESULTS: From January 2008 to December 2020 we retrospectively identified 36 eligible patients with verruciform non-invasive lesions (n = 36) and collected clinical, histological and follow-up parameters. Verruciform non-invasive lesions occurred at a median age of 71 years, with a median follow-up of 33.5 months. Clinically, pruritus was only reported in patients with VAAD (n = 3, 21%). Lesion colour was significantly different across categories (P = 0.028). Apart from the histopathological criteria already known to distinguish these entities (hypogranulosis, epithelial pallor and low-magnification architecture), no other significant criteria were discovered and significant overlap was observed, particularly between VAAD and DEVIL. Patients with vLSC trended towards longer survival without recurrence compared to VAAD and DEVIL (P = 0.082), but showed comparable invasion-free survival interval (P = 0.782). Squamous cell carcinomas (SCC) associated with either VAAD, DEVIL or vLSC displayed similar clinical, histopathological and biological parameters. In non-invasive precursor lesions, stromal oedema was associated with invasion (P = 0.015) and remained so upon Cox regression analysis (P = 0.009). CONCLUSION: Our study of HPV and p53 independent non-invasive verruciform lesions of the vulva highlights significant clinical, histopathological and biological overlap between VAAD, DEVIL and vLSC, suggesting that these pre-invasive lesions should be viewed as a spectrum. We also show that stromal features such as oedema might play an import role in progression to invasion.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".