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Morphometric evaluation of AgNORs in odontogenic cysts
Huchanahalli S Sreeshyla1, Raju Shashidara, Udyavara Sridhara Sudheendra
1Department of Oral Pathology and Microbiology, JSS Dental College and Hospital, Mysore, India. sreeshylahs@gmail.com
AgNOR count can help differentiate aggressive odontogenic keratocysts (OKC) from less aggressive dentigerous cysts (DC) and radicular cysts (RC). This morphometric analysis provides insights into cyst behavior prediction.
Area of Science:
- Oral pathology
- Histopathology
- Oncology
Background:
- Odontogenic cysts exhibit varying degrees of biologic aggressiveness.
- Accurate differentiation is crucial for appropriate clinical management.
- Novel biomarkers are needed to predict cyst behavior.
Purpose of the Study:
- To evaluate the morphometry of argyrophilic nucleolar organizer regions (AgNORs) in odontogenic cysts.
- To compare AgNOR morphometry with the known biologic behavior of these cysts.
- To determine if AgNOR morphometry can predict cyst behavior.
Main Methods:
- Ten cases each of odontogenic keratocyst (OKC), dentigerous cyst (DC), and radicular cyst (RC) were analyzed.
- Silver nitrate staining was used for AgNOR visualization.
- Morphometric analysis included nuclear volume, perimeter, AgNOR count, and AgNOR volume, with statistical analysis via ANOVA.
Main Results:
- AgNOR count, nuclear volume, and nuclear perimeter were highest in OKC, followed by DC and RC.
- These parameters suggest differentiation between aggressive and less aggressive cysts.
- Single AgNOR volume and AgNOR proportion were highest in RC, then OKC, then DC.
Conclusions:
- AgNOR count appears to be the most reliable factor for differentiating between aggressive and non-aggressive odontogenic cysts.
- AgNOR morphometry shows potential as a predictive tool for cyst behavior.
- Further studies may validate these findings for clinical application.
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