Clinicopathological Features and Expression of Ki-67 in Odontogenic Keratocyst, Dentigerous Cyst and Radicular Cyst
Bibliographic record
Abstract
Background: Biological behaviour of Odontogenic Keratocyst (OKC) is aggressiveness than others Odontogenic Cysts (OCs) like Dentigerous Cyst (DCs) and Periapical Cyst/Residual Cysts (RCs). The aim of the study was to determine clinicopathological features and expression of Ki-67 in Odontogenic Cysts of the oral cavity.
 Methodology: This cross-sectional study was conducted at de’Montmorency College of Dentistry (DCD from Feb, 2020 to Feb, 2022 after approval from Institutional Review Board (IRB) of DCD. A total 78 cases of OCs were collected from hospitals which are affiliated with the DCD. Routine lab process for Hematoxylin & Eosin and Immunohistochemistry was performed. Data entry and statistical analysis was carried out in SPSS 21. A Chi- square test was applied to observe the association between cyst and Ki-67. P value < 0.05 was taken as statistically significant. 
 Results: Among total 78 cases the mean age was 25.08 ±14.5 years with an age range of 6-70 years. Most OCs (64.1%) were reported in males than females (35.89%). Most OCs were reported in mandible (56.4%. Ki-67 expression in OKC was high 7.7%, low in 76.9% and negative in 15.4%). Most of the DCs and RCs expressed low expression of Ki-67 (84.6% and 76.9% respectively). 
 Conclusion: Most of the odontogenic cysts expressed low expression of Ki-67 while few cases of OKC and DC expressed high expression.
 Keywords: Dentigerous Cyst, Odontogenic Keratocyst, Immunohistochemistry, Ki-67, Odontogenic Cysts, Periapical Cyst, Radicular Cyst.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".