Cargando…

CT imaging features of fat stranding in cats and dogs with abdominal disorder

BACKGROUND: Fat stranding is a non-specific finding of an increased fat attenuation on computed tomography (CT) images. Fat stranding is used for detecting the underlying lesion in humans. OBJECTIVES: To assess the clinical significance of fat stranding on CT images for identifying the underlying ca...

Descripción completa

Detalles Bibliográficos
Autores principales: Jang, Seolyn, Lee, Suhyun, Choi, Jihye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Veterinary Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715384/
https://www.ncbi.nlm.nih.gov/pubmed/36038190
http://dx.doi.org/10.4142/jvs.22059
Descripción
Sumario:BACKGROUND: Fat stranding is a non-specific finding of an increased fat attenuation on computed tomography (CT) images. Fat stranding is used for detecting the underlying lesion in humans. OBJECTIVES: To assess the clinical significance of fat stranding on CT images for identifying the underlying cause in dogs and cats. METHODS: In this retrospective study, the incidence, location, extent, distribution, and pattern of fat stranding were assessed on CT studies obtained from 134 cases. RESULTS: Fat stranding was found in 38% (51/134) of all cases and in 35% (37/107) of tumors, which was significantly higher in malignant tumors (44%) than benign tumors (12%). Moreover, fat stranding was found in more than two areas in malignant tumors (16/33) and in a single area in benign tumors (4/4). In inflammation, fat stranding was demonstrated in 54% (7/13) in a single area (7/7) as a focal distribution (6/7). In trauma, fat stranding was revealed in 50% (7/14) and most were in multiple areas (6/7). Regardless of the etiologies, fat stranding was always around the underlying lesion and a reticular pattern was the most common presentation. Logistic regression analysis revealed that multiple areas (p = 0.040) of fat stranding and a reticulonodular pattern (p = 0.022) are the significant predictors of malignant tumor. CONCLUSIONS: These findings indicated that CT fat stranding can be used as a clue for identifying the underlying lesion and can be useful for narrowing the differential list based on the extent and pattern.