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Analytical Cellular Pathology
Volume 2014, Article ID 247853, 9 pages
Research Article

Prognostic Efficacy of Nuclear Morphometry at Invasive Front of Oral Squamous Cell Carcinoma: An Image Analysis Microscopic Study

1Department of Oral Pathology, Manipal College of Dental Sciences, Manipal University, Mangalore, Karnataka 575001, India
2No. 24/1129, Padmapuram, Jyothipuram Lane, Valiachalai, Trivandrum, Kerala 695036, India

Received 18 April 2014; Accepted 17 July 2014

Copyright © 2014 V. K. Vaishnavi Vedam et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. Oral cancer is revisited on a pathologist perspective with advanced imaging technique. Objective. The present study assessed the new malignancy grading system at tumor proper (TP) and Bryne’s grading system at invasive tumor front (ITF), morphometric features using software, to clarify their associations with prognosis of oral cancers. Methods. Histologically confirmed oral squamous cell carcinoma (OSCC) with 5-year follow-up was assessed morphometrically using image analysis at TP and ITF, correlated with the prognosis of patient. Results. On comparison of grading systems, a moderate agreement between both (Bryne and Anneroth) was seen. Among all histological parameters, we noted inverse correlation between degree of mitosis at invasive front and decrease in lymphoplasmacytic infiltrate at ITF with increase rate of recurrence and event of death. An increase in nuclear area, diameter, and perimeter along with decrease circularity in advancing OSCC was seen. Correlation of parameters showed higher values for maximum nuclear diameter, perimeter, and circularity at TP and ITF with recurrence. Conclusion. This study, while limited in sample size, concluded that a combined assessment of clinical TNM staging, histopathological grading system excluding the parameter “mitotic activity” (due to its inverse relation), and nuclear morphometry at the ITF are better prognosticators. This combination proved to be an accurate predictive factor in eliciting the varied molecular characteristics of tumor heterogeneity.