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Morphometric Analysis of Suprabasal Cell Layer in Oral Epithelial Dysplasia: A Computer-assisted Microscopic Study
Viswanathan Prema1, Thomson Thomas2, Prasad Harikrishnan1
1Department of Oral and Maxillofacial Pathology, KSR Institute of Dental Science and Research, Namakkal, Tamil Nadu, India.
Journal of Pharmacy & Bioallied Sciences
|November 5, 2020
Summary
Computer-assisted analysis of nuclear morphometry in oral epithelial dysplasia revealed significant changes. These findings suggest morphometric analysis is a reliable tool for grading oral dysplasia, aiding in early cancer detection.
Area of Science:
- Oral pathology
- Histopathology
- Digital pathology
Background:
- Oral leukoplakia is a common precancerous lesion requiring accurate grading of epithelial dysplasia.
- Histological grading systems for dysplasia have limitations due to inter- and intraobserver variability.
- Computer-assisted morphometric analysis offers a potential solution to improve grading consistency.
Purpose of the Study:
- To investigate morphometric changes in the suprabasal cell layer of oral epithelial dysplasia.
- To evaluate the utility of computer-assisted analysis in differentiating dysplasia grades.
Main Methods:
- Analysis of 40 paraffin-embedded oral tissue sections (10 normal, 10 mild, 10 moderate, 10 severe dysplasia).
- Hematoxylin and eosin staining followed by cellular and nuclear morphometry using a binocular microscope.
- Assessment of nuclear area, perimeter, volume density, N/C ratio, diameter, cellular area, and nuclear form factor.
Main Results:
- Significant increases in nuclear area, perimeter, volume density, and N/C ratio were observed with increasing dysplasia grade (P=0.001).
- Nuclear diameter and cellular area also increased significantly in dysplastic tissues compared to controls (P=0.001).
- Nuclear form factor showed variations, decreasing in mild/moderate dysplasia and peaking in severe dysplasia, correlating with histological grading.
Conclusions:
- Nuclear morphometric parameters show a gradual change corresponding to the grade of oral epithelial dysplasia.
- Morphometric analysis of nuclear features is a reliable method for differentiating oral epithelial dysplasia grades.
- This approach can aid in reducing diagnostic variability and improving the management of oral precancerous lesions.

