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Fractal dimension of the hepatoid adenomas and carcinomas in dogs

The fractal dimension (FD) provides an excellent explanation of the roughness and self-similarity of natural objects and has been exploited for various biomedical recognition applications, including some which are used in research pathology. The aim of our study was to evaluate histopathological features in tissue specimens from canine hepatoid gland adenoma and carcinoma using a specifi c computer-based fractal image analysis approach. In order to better analyze architectural differences we determined an optimal staining (H&E, Van Gieson and IHC /vimentin/), magnifi cation, and image analysis technique. There was a signifi cant difference (p < 0.05) with regards to tumor type in the vimentin stained tumors. Carcinomas presented signifi cant higher mean values of FD compared to adenomas and to normal circumanal gland. These results indicate that malignancy of canine hepatoid gland tumor can be characterized by describing the complex pathologic architecture of tumors using fractal image analysis approach and, what is even more important, because of its cheapness and accuracy this method could be used in the analysis of other tumours as well.

fractal dimension; hepatoid adenoma; hepatoid carcinoma; dog

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