Document Detail

MedLine Citation:
PMID:  22612269     Owner:  NLM     Status:  Publisher    
Abdominal ultrasound (US) is used frequently as a first-line screening tool for abdominal disease. Although computed tomography (CT) is superior to US in the diagnosis of some abdominal diseases, a major impediment is the requirement of general anesthesia to prevent motion and for safe restraint. With multidetector helical CT, faster examinations allow general anesthesia to be avoided, while producing diagnostic-quality images. Abdominal US and CT were compared for lesion detection in 27 sedated dogs, divided into three even groups based on body weight. Lesions were categorized further as to subjective clinical relevance. In dogs less than 25 kg, there is no significant difference in lesion detection between CT and US. In dogs weighing greater than 25 kg, more lesions were detected with CT than with US (P = 0.0001), including clinically relevant lesions (P = 0.0277). From these results, it appears that CT has an advantage in lesion detection in dogs greater than 25 kg, making it a better screening test for abdominal disease in these patients.
Erica L Fields; Ian D Robertson; Jason A Osborne; James C Brown
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-5-22
Journal Detail:
Title:  Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association     Volume:  -     ISSN:  1058-8183     ISO Abbreviation:  -     Publication Date:  2012 May 
Date Detail:
Created Date:  2012-5-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9209635     Medline TA:  Vet Radiol Ultrasound     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2012 Veterinary Radiology & Ultrasound.
Department of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Tennessee, C247 Veterinary Teaching Hospital Knoxville, TN, 37996 (Fields).
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