Jianli Zhong

Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
International Journal of Molecular Veterinary Research, 2024, Vol. 14, No. 4   
Received: 16 May, 2024    Accepted: 24 Jun., 2024    Published: 08 Jul., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This study reviews the current imaging techniques employed in veterinary oncology, with a focus on their diagnostic applications, including early neoplasia detection, treatment monitoring, and outcome prediction. A case study of a canine soft tissue sarcoma demonstrates the practical application of these imaging techniques and their value in clinical decision-making. Despite their benefits, challenges such as high costs, accessibility, and variability in image interpretation remain. The study also discusses future directions, highlighting technological advancements and the potential role of artificial intelligence in enhancing imaging analysis. Ultimately, this study emphasizes the transformative impact of imaging technologies on veterinary oncology, with hopes for broader access and improved outcomes for animals affected by cancer.

Veterinary oncology; Imaging techniques; Tumor staging; Treatment monitoring; Artificial intelligence