Utilization of Computed Tomography at the Aydin Adnan Menderes University Faculty of Veterinary Medicine Research and Application Hospital: An Analysis of Preliminary Results on Patient Demographics and Case Distribution

Year 2024, Volume: 13 Issue: 2, 26 - 31, 30.12.2024

Murat Sarıerler , Cavit Kum , Yalçın Alper Özturan , Bülent Ulutaş , İbrahim Akın

https://doi.org/10.53913/aduveterinary.1571608

Abstract

This study examines the distribution of computed tomography (CT) usage at Aydin Adnan Menderes University Faculty of Veterinary Medicine Research and Application Hospital between 2023 and 2024. CT, a widely adopted diagnostic tool in veterinary medicine, allows for detailed imaging of internal organs and anatomical structures, enhancing the diagnosis of complex cases. The study analyzed data from 143 animals, including dogs, cats, and other species, to assess the frequency of CT scans based on species, age, sex, breed, and imaged anatomical regions. A total of 350 CT scans were reviewed, with dogs (n=87) undergoing the majority of scans (200), followed by cats (n=50) with 175 scans, and other species accounting for 26 scans. Cranium, thorax, and abdomen were the most frequently imaged regions across all species. The study found that older animals, particularly large-breed dogs and male cats, required more imaging, while younger animals (0-6 months) underwent fewer CT scans. The findings emphasize the need for tailored diagnostic approaches based on species, age, and sex to improve early detection and treatment outcomes in veterinary practice. Furthermore, the study highlights the potential for expanding CT use in non-traditional veterinary species, with the goal of improving diagnostic precision. The results provide important insights for enhancing veterinary services through the strategic application of CT imaging.

Keywords

Computed tomography, diagnostic imaging, veterinary medicine

Ethical Statement

Retrospective ethics committee approval is not necessary for the nature of the present retrospective study.

Supporting Institution

Aydın Adnan Menderes University, Scientific Research Foundation (BAP)

Project Number

VTF-20024

Thanks

The authors would like to thank İ. Batuhan Kar and M. Ali Efe for their assistance with the data extraction.

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