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A retrospective study of structural brain lesions identified by magnetic resonance imaging in 114 cats with neurological signs.
Prompinichpong, Kreevith; Thengchaisri, Naris; Suwanna, Nirut; Tiraphut, Bordin; Theerapan, Wutthiwong; Steiner, Jörg M; Sattasathuchana, Panpicha.
Afiliación
  • Prompinichpong K; Department of Companion Animal Clinical Sciences, Faculty of Veterinary Medicine, Kasetsart University, Bangkok, 10900, Thailand.
  • Thengchaisri N; Kasetsart University Veterinary Teaching Hospital, Kasetsart University, Bangkok, 10900, Thailand.
  • Suwanna N; Department of Companion Animal Clinical Sciences, Faculty of Veterinary Medicine, Kasetsart University, Bangkok, 10900, Thailand.
  • Tiraphut B; Department of Companion Animal Clinical Sciences, Faculty of Veterinary Medicine, Kasetsart University, Bangkok, 10900, Thailand.
  • Theerapan W; Kasetsart University Veterinary Teaching Hospital, Kasetsart University, Bangkok, 10900, Thailand.
  • Steiner JM; Department of Companion Animal Clinical Sciences, Faculty of Veterinary Medicine, Kasetsart University, Bangkok, 10900, Thailand.
  • Sattasathuchana P; Department of Small Animal Clinical Sciences, Gastrointestinal Laboratory, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, 77843, USA.
Vet World ; 16(9): 1871-1879, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37859967
Background and Aim: Magnetic resonance imaging (MRI) has been widely used as a non-invasive modality to evaluate neurological organ structures. However, brain MRI studies in cats with neurological signs are limited. This study evaluated the association between patient characteristics, neurological signs, and brain lesion locations identified by MRI. Blood profiles of cats with presumptive inflammatory and structural brain lesions were also determined. Materials and Methods: Medical records of 114 cats that underwent brain MRI were retrospectively reviewed. Cats were categorized into five groups based on the location of their lesion: Cerebrum, brainstem, cerebellum, multifocal, and non-structural. Patient characteristics, neurological signs, and hematological profiles were obtained from their medical records. Disease classification was categorized based on their etiologies. Associations were determined using Fisher's exact test. Blood parameters were compared using the Kruskal-Wallis test. Results: A total of 114 cats met the inclusion criteria. Lesions were identified in the cerebrum (21.1%), brainstem (8.8%), cerebellum (6.1%), multifocal (39.5%), and non-structural (24.6%) of the cats. Common neurological signs included seizure activity (56.1%), cerebellar signs (41.2%), and anisocoria (25.4%). The most common brain abnormality was inflammation (40.4%). There was no significant difference in hematological profiles between cats with presumptive inflammatory and non-inflammatory brain lesions. Neutrophils, platelets, total protein, and globulin concentrations were higher in cats with structural brain lesions. Conclusion: The most common neurological signs and brain disease category were seizure activity and inflammation, respectively. However, the hematological profile did not predict inflammatory and structural brain lesions.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Vet World Año: 2023 Tipo del documento: Article País de afiliación: Tailandia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Vet World Año: 2023 Tipo del documento: Article País de afiliación: Tailandia