Evidence map›Paper›PMID 41295708›Full record

ArticleVeterinary sciences2025

Use of Computed Tomography in the Clinical Diagnosis of Lower Respiratory Tract Diseases in Sheep.

Enrique Castells, Pablo Quílez, Delia Lacasta, Aurora Ortín, Sergio Villanueva-Saz, María Climent, Lluís Luján, David Guallar, Carlos Alfonso Hedman, Héctor Ruiz and 1 more

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Enrique CastellsCentro Clínico Veterinario de Zaragoza, Madre Genoveva Torres Morales 8, 50006 Zaragoza, Spain.
Pablo QuílezAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.ORCID 0009-0003-9757-3840
Delia LacastaAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.ORCID 0000-0002-7822-6646
Aurora OrtínAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.ORCID 0000-0002-0313-5926
Sergio Villanueva-SazAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.ORCID 0000-0001-6209-4282
María ClimentRuminant Clinical Service, Veterinary Faculty, University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.ORCID 0000-0002-0606-0763
Lluís LujánAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.
David GuallarAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.
Carlos Alfonso HedmanAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.ORCID 0000-0002-0827-110X
Héctor RuizAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.ORCID 0000-0002-8474-2831
Marta Ruiz de ArcauteAnimal Pathology Department, Veterinary Faculty and Instituto Agroalimentario de Aragón-IA2, (Universidad de Zaragoza-CITA) University of Zaragoza, Miguel Servet 177, 50013 Zaragoza, Spain.ORCID 0000-0002-7655-2472

Funding

This research was partially supported by funding from the Aragon Government (AR15_23R) and the European Social Fund (AR15_23R)
6 · The paper itself

Abstract

Lower airway diseases are a major health concern in sheep, often presenting with overlapping clinical signs that hinder accurate diagnosis. This study evaluated the diagnostic value of computed tomography (CT) in 58 adult sheep examined in northeastern Spain between 2017 and 2024. All animals underwent full clinical examination, CT under general anaesthesia, and post-mortem investigation. CT identified 82 pulmonary lesions, including interstitial pneumonia, respiratory complex, gangrenous pneumonia, caseous lymphadenitis, parasitic pneumonia, pulmonary adenocarcinoma, and pulmonary hydatidosis. Tissue density measurements provided additional information regarding disease stage and severity. The level of agreement between CT findings and definitive diagnoses consistently exceeded that of clinical evaluation, reaching almost perfect concordance for several conditions. Moreover, CT revealed concomitant respiratory pathologies within the same animal, many of which were not detected by conventional diagnostic methods. Although thorough individual clinical examination remains essential for the correct interpretation of imaging findings and the accurate diagnosis of respiratory disorders in the field, these results demonstrate that CT provides superior diagnostic accuracy compared with standard approaches and yields valuable insights for both clinical practice and research. Despite its practical limitations, CT could represent a major advance in improving health, welfare, and productivity in sheep farming.

Indexed as

CT scandiagnostic imaginglung pathologypulmonary lesionssmall ruminants

Identifiers

PMID41295708
PMCPMC12656846

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.