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Morphometry As a Diagnostic Tool for Potentially Malignant Lesions
Vineetha Christopher1, Sarvani Murthy2, Ashwinirani Sr3
1Research Scholar, Stem Cell Laboratory, Narayan Nethralaya , Bommasandra, Bangalore, Karnataka, India .
Journal of Clinical and Diagnostic Research : JCDR
|January 28, 2016
Summary
Morphometric analysis reveals significant cellular and nuclear changes in oral potentially malignant lesions. These findings aid in better diagnosis and prediction of cancerous transformation risk for oral leukoplakia, verrucous carcinoma, and squamous cell carcinoma.
Area of Science:
- Oral pathology
- Oncology
- Cell biology
Background:
- Accurate diagnosis of potentially malignant oral lesions remains a challenge.
- Prognostic markers for predicting cancerous transformation are limited.
- Current methods often rely on established clinical and malignant changes.
Purpose of the Study:
- To establish morphometric parameters of normal oral epithelium cells.
- To analyze cellular changes in Oral Leukoplakia (OL), Oral Verrucous Carcinoma (OVC), and Oral Squamous Cell Carcinoma (OSCC).
- To identify potential diagnostic markers for oral cancer progression.
Main Methods:
- Morphometric analysis of parabasal and spinous cells from 40 patients.
- Inclusion of normal oral mucosa, OL, OVC, and OSCC groups.
- Measurement of cell area, cell diameter, nuclear area, nuclear diameter, and nuclear cytoplasmic ratio.
- Statistical analysis using one-way ANOVA and T-test.
Main Results:
- Significant increases in nuclear diameter, nuclear area, cell area, and nuclear cytoplasmic ratio were observed in OL, OVC, and OSCC compared to normal oral mucosa.
- A statistically significant decrease in cell diameter was noted in OL, OVC, and OSCC patients.
- These cellular and nuclear parameter changes were statistically significant.
Conclusions:
- Cellular and nuclear parameters demonstrate statistically significant alterations in oral potentially malignant and malignant lesions.
- These morphometric changes offer potential as diagnostic and prognostic indicators.
- Further research can validate these parameters for early cancer detection.

