Document Detail


Dynamic computed tomography scanning of benign bone lesions: preliminary results.
MedLine Citation:
PMID:  6867773     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The majority of benign bone lesions can be evaluated adequately using conventional radiologic techniques. However, it is not always possible to differentiate reliably between different types of benign bone lesions on the basis of plain film appearances alone. Dynamic computed tomography (CT) scanning provides a means for further characterizing such lesions by assessing their degree of vascularity. Thus, it may help in distinguishing an osteoid osteoma, which has a hypervascular nidus, from a Brodie's abscess, which is avascular. Dynamic CT scanning may also help in the differentiation between a fluid-containing simple bone cyst, which is avascular, and other solid or semi-solid benign bone lesions which show varying degrees of vascularity. However, because of the additional irradiation involved, dynamic CT scanning should be reserved for evaluation of selected patients with benign bone lesions in whom the plain film findings are not definitive and in whom the CT findings may have a significant influence on management.
Authors:
E Levine; J R Neff
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Publication Detail:
Type:  Case Reports; Comparative Study; Journal Article    
Journal Detail:
Title:  Skeletal radiology     Volume:  9     ISSN:  0364-2348     ISO Abbreviation:  Skeletal Radiol.     Publication Date:  1983  
Date Detail:
Created Date:  1983-08-11     Completed Date:  1983-08-11     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7701953     Medline TA:  Skeletal Radiol     Country:  GERMANY, WEST    
Other Details:
Languages:  eng     Pagination:  238-45     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Bone Cysts / radiography
Bone Diseases / radiography*
Child
Diagnosis, Differential
Female
Femur
Granuloma / radiography
Humans
Male
Osteoma, Osteoid / radiography
Osteomyelitis / radiography
Tomography, X-Ray Computed*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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