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Anatomic, computed tomographic, and ultrasonographic assessment of the lymph nodes in presumed healthy adult cats: The head, neck, thorax, and forelimb

Authors :
Restrepo, Mauricio Tobón
Espada, Yvonne
Aguilar, Adrià
Moll, Xavier
Novellas, Rosa
Diagnostische beeldvorming
dCSCA AVR
CS_Welfare & emerging diseases
Diagnostische beeldvorming
dCSCA AVR
CS_Welfare & emerging diseases
Source :
Journal of Anatomy, 239(2), 264. Wiley-Blackwell
Publication Year :
2021

Abstract

Assessment of the lymph nodes is key in staging cancer patients. Descriptions of normal features of the feline lymph nodes using computed tomography (CT) and ultrasound (US) are limited. A prospective anatomic and comparative imaging study was performed. The frequency of identification and the size of the lymph nodes during gross pathology from 6 feline cadavers were compared to the images of lymph nodes from 30 presumed healthy adult cats obtained by CT and US. Measurements (length, width, and height) were compared among techniques. The CT and US features of the identified lymph nodes were also recorded. The frequency of identification of the lymph centers varied among techniques and individually. The mandibular lymph nodes were identified in 100% of the cadavers and in 100% of the healthy cats using CT and US. The medial retropharyngeal lymph nodes were identified in 100% of the cats using CT and US. The deep cervical lymph nodes were not visualized in the cadavers. The cranial mediastinal and tracheobronchial lymph nodes were not visualized using US. Lymph nodes showed a higher length on CT and higher width on US. The height was the most statistically significant variable measurement among techniques. On CT, lymph nodes were most frequently isoattenuating or slightly hypoattenuating to surrounding musculature, with homogeneous contrast enhancement. On US, most lymph nodes were isoechoic or hypoechoic to surrounding fat tissue. The lymph nodes were most frequently elongated or rounded.

Details

Language :
English
ISSN :
00218782
Volume :
239
Issue :
2
Database :
OpenAIRE
Journal :
Journal of Anatomy
Accession number :
edsair.doi.dedup.....f31c4d36d3e01ad19343780f338eb0bc