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Year : 2020  |  Volume : 12  |  Issue : 5  |  Page : 204-209

Morphometric analysis of suprabasal cell layer in oral epithelial dysplasia: A computer-assisted microscopic study

1 Department of Oral and Maxillofacial Pathology, KSR Institute of Dental Science and Research, Namakkal, Tamil Nadu, India
2 Department of Oral and Maxillofacial Pathology, PMS College of Dental Science and Research, Thiruvananthapuram, Kerala, India
3 Department of Prosthodontics and Oral Implantology, KSR Institute of Dental Science and Research, Namakkal, Tamil Nadu, India

Correspondence Address:
Viswanathan Prema
Department of Oral and Maxillofacial Pathology, KSR Institute of Dental Science and Research, KSR Kalvi Nagar, Tiruchengode, Tamil Nadu.
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jpbs.JPBS_60_20

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Background: Oral leukoplakia is the most common precancerous lesion. Various grading systems based on histological findings have been proposed for dysplasia. Recently, computer-assisted morphometric analysis has been established to reduce the interobserver and intraobserver variability during the histological grading of epithelial dysplasia. This study was undertaken to establish the morphometric changes in the suprabasal cell layer of different grades of oral epithelial dysplasia. Materials and Methods: Forty paraffin-embedded tissue sections (10 normal mucosa, 10 mild dysplasia, 10 moderate dysplasia, and 10 severe dysplasia cases) were stained using hematoxylin and eosin stain, and analyzed for cellular and nuclear morphometry using binocular microscope. Results: Our results showed that values of nuclear area, nuclear perimeter, nuclear volume density, and nuclear/cytoplasmic (N/C) ratio were increased gradually in dysplasia compared to control groups and the values were statistically significant (P = 0.001). Nuclear diameter and cellular area were increased in dysplasia when compared to control group (P = 0.001). Mild and moderate dysplasia showed decreased value of nuclear form factor compared to control group, whereas severe dysplasia showed highest value. A fair correlation was found when comparing histological grading and grouping based on nuclear area, nuclear perimeter, N/C ratio, and nuclear volume density. Conclusion: Nuclear features reflect cell behavior, and its morphometric analysis can be considered as a reliable tool for differentiating various grades of epithelial dysplasia.

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