| Autor: |
Shanmukha R. Y., Ashokkumar, Pandya Jay, Kapila, Supriya Nikita |
| Předmět: |
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| Zdroj: |
Journal of Oral & Maxillofacial Pathology (0973029X); 2014 Special Issue, Vol. 18, pS43-S43, 1/3p |
| Abstrakt: |
Background: Carcinogenesis follows complex molecular alterations, which are triggered by subtle chromatin architectural changes that are imperceptible to the human eye. As the treatment decisions in OSCC are hindered by the imprecise clinical stage determination and inter-observer variability in histological grading, focus in recent years has shifted to discovering markers related to neoplastic cell morphology studied through computer-aided image analysis. One such approach is the assessment of fractal geometry, a technique first described by Mandelbrot, which aids in precise assessment of architecture of natural objects. Assessment and quantification of degree of complexity of these fractal objects (self-similarities in structural complexity at different magnifying scales) is described as fractal dimension (FD). Aim: To evaluate the nuclear fractal dimension in OSCC using computer-aided image analysis. Materials and Methods: Histological sections of 14 selected cases of OSCC (test) and 6 normal buccal mucosa (control) were stained with hematoxylin-eosin for histopathological examination and Feulgen stain for evaluation of nuclear complexity. Fifteen HPF of Feulgen-stained sections were selected and photographed at invasive tumor front (ITF) and tumor proper (TP) of test and control cases. At ITF, TP and normal buccal mucosa, 200 nuclei each were selected and analyzed using ImageJ software to quantify FD. The test and control groups are compared statistically using Independent sample T-test and one-way ANOVA. Results and Conclusion: Increase in nuclear FD from normal buccal mucosa to tumor progression was seen implying quantification of nuclear architectural changes as a prognostic marker. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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