Significance of bizarre cells in cervical screening liquid‐based cytology: A prospective study of 15 cases
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to assess the significance of bizarre cells (cells of squamous origin with a superficial squamous cell-type cytoplasm and characterised by multinucleation that produces bizarre nuclear shapes) in liquid-based cytology (LBC) Papanicoaou (pap) smears with clinical and histological follow-up correlation. METHODS: LBC workload. HPV testing was performed in each case using residual LBC material. Cytological-histological correlations were reviewed. RESULTS: All 15 LBC samples contained bizarre cells and tested positive for high-risk HPV types. Ten of the 15 cases were identified as atypical squamous cells - cannot exclude an HSIL (ASC-H) with secondary diagnosis of low-grade squamous intraepithelial lesion (LSIL), while five cases were identified as high-grade squamous intraepithelial lesion (HSIL), and a subsequent biopsy was recommended. Additionally, 13/15 cases underwent cone biopsy or hysterectomy within 1-11 months, of which 10 showed histologically confirmed HSIL end-points. LSIL was present in three cases. Bizarre cells were identified in the HSIL epithelium of five cone biopsies. CONCLUSIONS: Identification of bizarre cells in LBC is straightforward and may facilitate diagnosis. The cytology of bizarre cells is associated with HSIL in cone biopsies. We recommend assigning LBC samples containing bizarre cells as ASC-H with secondary diagnosis of LSIL.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".