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Computed tomographic findings of kawasaki disease with cervical lymphadenopathy.
MedLine Citation:
PMID:  22261784     Owner:  NLM     Status:  In-Data-Review    
OBJECTIVE: The purpose of this study was to describe CT findings in patients with Kawasaki disease with cervical lymphadenopathy.
MATERIALS AND METHODS: Twelve patients with cervical lymphadenopathy were difficult to diagnose at the initial visit and underwent CT for the assessment of lymphadenopathy. Computed tomographic images were assessed for numbers, sizes, locations of enlarged nodes, and other imaging findings.
RESULTS: Seventy-two enlarged nodes were identified. The maximum diameter of enlarged nodes ranged from 1.0 to 2.5 cm (mean, 1.5 cm). Lymphadenopathy was unilateral in 8 patients (67%) and located at level IB in 2 patients, II in 50 patients, III in 10 patients, IV in 1 patient, and V in 9 patients. Perinodal infiltration was found in 10 patients (83%), and 3 patients (25%) had focal low attenuation within nodes. Retropharyngeal hypodense area was present in 4 patients (33%), peritonsilar hypodense area in 3 patients (25%), and enlarged tonsils in 4 patients (33%).
CONCLUSIONS: Cervical lymphadenopathy in Kawasaki disease usually showed unilateral distribution predominantly at levels II, III, and V with perinodal infiltration occasionally accompanied by retropharyngeal hypodense area, peritonsilar hypodense area, and enlarged tonsils.
Hiroki Kato; Masayuki Kanematsu; Zenichiro Kato; Takahide Teramoto; Naomi Kondo; Hiroaki Hoshi
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of computer assisted tomography     Volume:  36     ISSN:  1532-3145     ISO Abbreviation:  J Comput Assist Tomogr     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-01-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7703942     Medline TA:  J Comput Assist Tomogr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  138-42     Citation Subset:  IM    
From the *Department of Radiology, Gifu University School of Medicine; †High-level Imaging Diagnosis Center, Gifu University Hospital; and ‡Department of Pediatrics, Gifu University School of Medicine, Gifu, Japan.
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