Ultrasonographic findings in the bladder of cattle at different stages of evolution of bovine enzootic hematuria in Brazil.

Intoxication Neoplasia Pteridium arachnoideum Ultrasound Urinary system

Journal

Research in veterinary science
ISSN: 1532-2661
Titre abrégé: Res Vet Sci
Pays: England
ID NLM: 0401300

Informations de publication

Date de publication:
23 Aug 2024
Historique:
received: 14 02 2024
revised: 14 08 2024
accepted: 20 08 2024
medline: 2 9 2024
pubmed: 2 9 2024
entrez: 1 9 2024
Statut: aheadofprint

Résumé

Despite the diagnostic capacity of ultrasonography (US) in cases of bovine enzootic hematuria (BEH), it has been underused in the medical clinic for ruminants. Studies comparing ultrasound findings in healthy animals (HA) with subclinical (SCH) and clinical (CH) BEH are scarce in the literature. As a result, the present work aims to describe the US findings of cattle at different stages of BEH evolution, evaluating the diagnostic capacity and precocity of the technique. The study was carried out on five rural properties in the municipalities of Rio Preto and Bom Jardim de Minas - MG, Brazil, using 46 dairy cattle, females over 18 months of age, evaluated and classified as G1/CH, G2/SCH and G3/HA, according to history, clinical examination and urinalysis, with subsequent ultrasound analysis of the bladder. The mean bladder wall thickness was 36.50 mm in G1/CH, 33.53 mm in G2/SCH and 37.93 mm in G3/HA. Irregular walls were observed in 53.33 % (8/15) of G1/CH, 27 0.78 % (5/18) of G2/SCH and 38.46 % (5/13) of G3/HA. Loss of the architecture of the urothelium layers was observed in 53.33 % (8/15) of G1/CH, 33.33 % (6/18) of G2/SCH and 38.46 % (5/13) of G3/HA. Multifocal and Grade I lesion were the most common. Ultrasonography allowed the identification of lesions in 38.46 % of animals that did not present hematuria and in 33.33 % of animals that presented occult blood and proved to be an efficient technique for detecting pre-clinical cases of BEH, allowing easy identification. and early onset of BEH cases.

Identifiants

pubmed: 39217840
pii: S0034-5288(24)00252-2
doi: 10.1016/j.rvsc.2024.105385
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105385

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no competing interests.

Auteurs

Marina Galindo Chenard (MG)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil. Electronic address: marugchenard@gmail.com.

Josielle de Almeida Pereira (J)

Self-Employed Veterinarian in Rio de Janeiro, Brazil.

Jade de Menezes Paes (J)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Luiz Filipe Cabral de Souza Ramos (LFC)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Yohany Arnold Alfonso Pérez (YAA)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Waldyr Xavier (W)

Self-Employed Veterinarian in Rio de Janeiro, Brazil.

Kicia Russano (K)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Guilherme Nunes de Souza (G)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Fabricio Nascimento Gaudêncio (FN)

Multidisciplinary Laboratory Institution, University Center of Valença (UNIFAA), 161 Sargento Vitor Hugo Street, Fátima, 27603-086, Valença, RJ, Brazil.

Kássia Valéria Gomes Coelho da Silva (KVGC)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Daniel Augusto Barroso Lessa (DAB)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Nayro Xavier Alencar (NX)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Michel Abdalla Helayel (MA)

Faculty of Veterinary Medicine, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.

Classifications MeSH