Peer-reviewed veterinary case report
Nuclear size in dog skin tumors predicts survival and aggression
By Strefezzi, Ricardo de Francisco et al.·Published in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc·2009·Departamento de Patologia, Brazil·View original on PubMed →
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Original publication title: Nuclear morphometry in cytopathology: a prognostic indicator for canine cutaneous mast cell tumors.
- Species:
- dog
Plain-English summary
A study looked at 29 dogs with skin tumors called mast cell tumors (MCTs) to see if measuring the size of the tumor cells' nuclei could help predict how aggressive the tumors were and how long the dogs might survive. The findings showed that larger nuclei were linked to more aggressive tumors, while smaller nuclei were associated with better outcomes. This method could help veterinarians quickly determine the severity of the tumors and guide treatment decisions. Overall, it suggests that nuclear size measurements can be a useful tool in managing dogs with MCTs.
People also search for: dog skin tumor prognosis · mast cell tumor treatment in dogs · canine cutaneous mast cell tumor survival rate
Abstract
Twenty-nine canine cutaneous mast cell tumors (MCTs) were morphometrically analyzed with regard to mean nuclear area (MNA) using cytopathology smears. The results showed a correlation between MNA and survival. When graded into 2 morphometrically different groups, there were statistically significant differences among high- and low-grade MCTs, regarding both Romanowsky-type stain and hematoxylin and eosin. Cytomorphometry could also separate histologic grade II tumors with better prognosis from the more aggressive MCTs. The results indicated that nuclear morphometry on cytopathology preparations can predict the biological behavior of cutaneous MCTs in dogs in an independent manner, yielding a rapid and reproducible diagnosis, which renders the method useful for veterinary oncology.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/19901282/