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Published on: July 25, 2011
Nuclear features in oral squamous cell carcinoma: A computer-assisted microscopic study.
1Department of Oral Pathology and Microbiology, College of Dental Sciences, Davangere, Karnataka, India.
Journal of Oral and Maxillofacial Pathology : JOMFP
|April 25, 2012
Summary
Computer-assisted nuclear morphometry using Feulgen stain offers a reliable method for grading oral squamous cell carcinoma (OSCC). This approach aims to overcome subjectivity in traditional histopathological grading of OSCC.
Area of Science:
- Oncology
- Pathology
- Biomedical Imaging
Background:
- Oral squamous cell carcinoma (OSCC) is a prevalent tobacco-related cancer in India.
- Current histopathological grading systems for OSCC suffer from inter-observer variability and reproducibility issues.
- Nuclear morphometry has shown promise in grading other carcinomas.
Purpose of the Study:
- To grade oral OSCC using computer-assisted microscopic evaluation of nuclear features.
- To assess the utility of Feulgen stain for nuclear feature analysis in OSCC.
- To develop a novel grading system for OSCC based on nuclear characteristics.
Main Methods:
- Buccal mucosa biopsies from normal and OSCC tissues were stained using the Feulgen reaction.
- Computer-assisted image analysis quantified nuclear area (NA), nuclear perimeter (NP), and nuclear form factor (NF).
- These quantitative nuclear features were correlated with established histologic grades of OSCC.
Main Results:
- NA and NP were significantly elevated in OSCC compared to normal mucosa (P < 0.001).
- Both NA and NP showed a positive correlation with increasing OSCC grades.
- The nuclear form factor (NF) was significantly higher in the control group (P < 0.001).
Conclusions:
- Computer-assisted nuclear morphometry is a dependable tool for grading OSCC.
- The study proposes a new grading system for OSCC founded on nuclear features.
- Feulgen staining combined with image analysis provides objective data for OSCC grading.
