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BI-RADS classification and gray level histogram of malignant mammary tumors in bitches
- Source :
- Pesquisa Veterinária Brasileira, Vol 38, Iss 10, Pp 1942-1948, Pesquisa Veterinária Brasileira v.38 n.10 2018, Pesquisa Veterinária Brasileira, Colégio Brasileiro de Patologia Animal (CBPA), instacron:EMBRAPA
- Publication Year :
- 2018
- Publisher :
- FapUNIFESP (SciELO), 2018.
-
Abstract
- Mammary tumor is the most frequent among the tumors that affect canine females, with relevant importance in veterinary medicine. The objective of this study was to determine the image characteristics of mammary tumors in female dogs, and compare different ultrasonographic techniques for neoplastic evaluation. During the experiment, 30 bitches with presence of nodular lesion in the mammary gland were used. Initially females were submitted to clinical and laboratory evaluations, and subsequent to the ultrasound examination of the tumor mass, as well as abdominal ultrasound and thoracic x-ray for the metastasis investigation. Quantitative analysis by histogram of the gray levels and categorization of the tumor masses by the BI-RADS system were performed. Later, the bitches were submitted to surgical resection of the tumors, where samples of the neoplastic tissue were collected for histopathological analysis. Carcinoma in mixed tumor showed a higher rate (33.3%), and the malignancy degree of epidermal tumors were classified in grade 1 (n=9), grade 2 (n=12) and grade 3 (n=3). Malignancy degree showed positive correlation with BI-RADS (r=0.55; P
- Subjects :
- dogs
tumor
BI-RADS
040301 veterinary sciences
bitches
Mammary gland
Malignancy
030218 nuclear medicine & medical imaging
Metastasis
0403 veterinary science
03 medical and health sciences
0302 clinical medicine
medicine
Carcinoma
mammary tumors
breast
Mammary tumor
Mixed tumor
lcsh:Veterinary medicine
General Veterinary
ultrasound
business.industry
Ultrasound
Echogenicity
04 agricultural and veterinary sciences
medicine.disease
medicine.anatomical_structure
lcsh:SF600-1100
histogram
Nuclear medicine
business
neoplasm
Subjects
Details
- ISSN :
- 16785150 and 0100736X
- Volume :
- 38
- Database :
- OpenAIRE
- Journal :
- Pesquisa Veterinária Brasileira
- Accession number :
- edsair.doi.dedup.....d5bc3ba55ec21f6cfb81ec46b075762d
- Full Text :
- https://doi.org/10.1590/1678-5150-pvb-5220