Mitotic Index and Immunohistochemical Expression of Ki-67 in Pleomorphic Adenoma of Salivary Glands
Bibliographic record
Abstract
. Background: Pleomorphic adenomas (PAs) are the most common type of salivary gland tumors (SGTs) which may undergo malignant transformation to Carcinoma ex PA (CaExPA). The purpose of this study was to determine mitotic index (MI) and expression of Ki-67 in Pleomorphic adenomas of salivary gland tumors. Methodology: This study was carried out on sixty patients of pleomorphic adenoma. Slides with specimens were stained with Hematoxylin & Eosin to count Mitotic index. Labeling Index (LI) of Ki-67 was determined immunohistochemically. Mitotic figures (MF) were counted in 10 HPF selected in the proliferative area. MI was scored as 1 (0 to 4 MF per 10 HPF); 2 (5-9 MF per 10 HPF) and 3 (> 9 MF per 10 HPF). Immunoexpression of Ki-67 was scored as ‘0-negative’ when <5% of neoplastic cells stained, ‘1-weak positive’ when 5-19% of neoplastic cells were stained, ‘2-moderate positive’ when 20-49% of neoplastic cells were stained, and ‘3-strong positive’ when >50% of neoplastic cells were stained with Ki-67. Data was, entered in SPSS 21. Results: Mean age was 38.7 ± 12.86 years. Out of 60 cases, 26 (43.33%) were of males while 34 (56.67%) were of females. Expression of Ki-67 was negative in 50% while remaining weak positive. Only score 01 of MI observed. Conclusion: Ki-67 is more sensitive marker than mitotic index in pleomorphic adenomas even in small sized tumors and it can help in detection of malignant transformation of PAs. Keywords: Adenomas, Immunohistochemistry, Ki-67 Antigen, Parotid Neoplasms, Pleomorphic
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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 | 0.000 |
| 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) | 0.002 | 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".