Immunohistochemical expression of ki-67 in odontogenic keratocyst: Evidence of aggressive behavior.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The odontogenic keratocyst (OKC) well-known for its aggressiveness and high recurrence rate, comprises approximately 11% of all jaw cysts. Due to its aggressive behavior it was placed into category of tumour in 2005 by the World Health Organization (WHO). Objectives: The purpose of this study was to determine the Ki-67 expression in Odontogenic Keratocysts to predict its proliferative potential. Study Design: Descriptive study. Setting: Department of Morbid Anatomy and Histopathology, UHS. Periods: June 2014- June 2018. Material & Methods: This is a descriptive study comprising of 39 cases of odontogenic cysts. These surgically removed samples were processed at University of Health Sciences (UHS) laboratory. Routine staining with Hematoxylin & Eosin stain along with immunohistochemistry (IHC) with Ki-67 antibody was performed. Immunohisto chemical scoring was done on the basis of percentage of the nuclear staining of Ki-67. Data was entered into SPSS 22 and descriptive statistics were measured in the form of percentage and frequency. Quantitative variables such as age of patient, size of the cyst, and Ki-67 score were also measured. P value <0.05 was taken as significant. Results: The mean age of the patients was 25.08 ±14.5 years. Significant association was observed between histological variables with odontogenic keratocyst such as parakeratinized epithelial lining (p = 0.00), epithelial hyperplasia both typical and atypical (p = 0.02) and focal spongiosis (p = 0.04). Foci having epithelial atypia demonstrated stronger staining intensity compared to adjacent normal epithelium. However, no significant association was observed between the histological variables and Ki-67 expression. Conclusion: OKC expressed low Ki-67 expression in most of the cases, however, foci of strong expression were also observed in few cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it