Assessment of Computed Tomography as a Diagnostic Tool for Upper Respiratory Tract Disorders in Sheep

Author:

Castells Enrique1,Quílez Pablo23ORCID,Ortín Aurora23ORCID,Villanueva-Saz Sergio23ORCID,Ruiz de Arcaute Marta23ORCID,Climent María34ORCID,De las Heras Marcelo2ORCID,Ruiz Héctor23ORCID,Navarro Teresa23ORCID,Lacasta Delia23ORCID

Affiliation:

1. Centro Clínico Veterinario de Zaragoza, Madre Genoveva Torres Morales, 8, 50006 Zaragoza, Spain

2. Department of Animal Pathology, Veterinary Faculty, Instituto Agroalimentario de Aragón-IA2 (Universidad de Zaragoza-CITA), University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain

3. Ruminant Clinical Service, Veterinary Faculty, University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain

4. Department of Anatomy, Embryology, and Animal Genetics, Veterinary Faculty, University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain

Abstract

Upper respiratory tract diseases are a major concern in sheep, causing economic losses and affecting animal welfare. Accurate diagnosis is crucial for effective treatment and prevention. This case-based study assessed the use of computed tomography for diagnosing these diseases in sheep. Thirty-three sheep showing clinical signs of one or more upper respiratory tract diseases underwent computed tomography scans, which were compared to clinical diagnoses and postmortem examinations. Results showed that clinical diagnosis matched the postmortem findings in 26 of 38 cases, while computed tomography diagnosis matched in 36 of 38 diagnosed conditions, demonstrating higher accuracy. Computed tomography provided detailed anatomical reconstructions of the respiratory tract, allowing precise detection of lesions, identification of their origin or content, and clear visualisation of surrounding structures. Despite limitations such as high costs, risks related to general anaesthesia, and radiation exposure, its accuracy makes it a valuable tool for managing these diseases. The creation of extensive databases on common diseases affecting sheep could improve the accessibility and effectiveness of computed tomography in veterinary clinics.

Funder

Aragon Government

Publisher

MDPI AG

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