| Issue |
BIO Web Conf.
Volume 95, 2024
III International Conference on Current Issues of Breeding, Technology and Processing of Agricultural Crops and Environment (CIBTA-III-2024)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 6 | |
| Section | Issues of Sustainable Development of Agriculture | |
| DOI | https://doi.org/10.1051/bioconf/20249501017 | |
| Published online | 27 March 2024 | |
Visual diagnosis of internal tumors of dogs and cats in Samarkand
1 Samarkand State University of Veterinary Medicine, Livestock and Biotechnologies, Samarkand, Uzbekistan
2 Specialized Veterinary Clinic of National Cynology Center, 100044, Tashkent, Uzbekistan
* Corresponding author: jasurvet0908@gmail.com
In this article, is provided the importance and effectivity using visual diagnostic methods in the practice of veterinary oncology for the purpose of early diagnosis and treatment of tumors as ultrasound and X-ray and also blood morphological biochemical parameters in 15 dogs with oncological diseases of internal organs in the of canine service dogs and 2 cats belonging to the population of Samarkand region. During the research, 55 service dogs, 110 dogs under the care of the population in the regions of Samarkand and Tashkent and 123 street dogs a total of 288 dogs, as well as the clinic of the “Veterinary Surgery and Obstetrics” Department of the SamSUVM and Specialization of veterinary clinic of the National Cynology Center of Custom service in Tashkent. As a result of clinical and visual diagnosis of 56 heads of population brought to the veterinary clinic, 15 (5.3%) dogs and 2 (3.6%) cats had problems related to tumors located in various internal organs. Tumors identified were uterine and ovarian tumors in 6 (40%) dogs and 2 cats (100%), vaginal tumors in 3 (20%), liver tumors in 2 (13.3%), 1 (6.69%) tumor in stomach, 1 (6.69 %) esophagus, 2 (13.3 %) intestinal tumors were determinated.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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