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Fractal pattern of canine trichoblastoma
Gionata De Vico1, Marielda Cataldi, Paola Maiolino
1Department of Biological Sciences, Faculty of Mathematics, Physics and Natural Sciences, Naples University Federico II, Naples. gionata.devico@unina.it
Fractal analysis effectively differentiates canine trichoblastoma subtypes by evaluating unique fractal dimensions (FDs) derived from tumor masks. This method offers objective characterization of these benign tumors, aiding in understanding their specific architecture and growth patterns.
Area of Science:
- Veterinary Pathology
- Dermatology
- Oncology
Background:
- Canine trichoblastoma is a benign tumor originating from the hair germ.
- Understanding its subtypes requires detailed analysis of tissue architecture and growth patterns.
Purpose of the Study:
- To apply fractal analysis to characterize subtypes of canine trichoblastoma.
- To assess the specific architecture, growth pattern, and tissue distribution of these tumors.
Main Methods:
- Tumor masks and outlines were generated from immunohistologic images using gray threshold segmentation.
- Fractal analysis and conventional morphometry were employed to determine fractal dimensions (FDs).
- FDs were calculated from the slope of regression lines within bi-asymptotic curves.
Main Results:
- Tumor masks and outlines exhibited fractal self-similar properties.
- Significantly different FD values (1.75–1.85) were observed in tumor masks, enabling subtype discrimination.
- Fractal analysis proved reliable for objective characterization.
Conclusions:
- Iterative morphogenetic processes involving the hair germ and dermal papilla likely shape trichoblastoma architecture.
- Fractal analysis provides a reliable method for objective characterization of canine trichoblastoma subtypes.
