Document Detail


Sixteen-detector row CT angiography for lower-leg arterial occlusive disease: analysis of section width.
MedLine Citation:
PMID:  16244274     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Institutional review board approval and written informed consent from all patients were obtained. Diagnostic accuracy of three reconstructions of 16-detector row computed tomographic (CT) angiography data with different section widths and increments (2.0 and 1.0 mm [CT data set 1], 1.0 and 0.5 mm [CT data set 2], and 0.75 and 0.4 mm [CT data set 3]) was compared with that of digital subtraction angiography (DSA) in 163 arterial segments in 17 patients with occlusive peripheral arterial disease (PAD). Arterial visibility was superior with CT as compared with DSA (P < .008). Sensitivity for stenosis detection did not differ between the CT reconstructions, whereas specificity was significantly improved when CT data set 3 was used (P < .017). Stenosis length did not differ significantly between CT angiography and DSA. Accuracy of stenosis detection was 88.2%, 90.8%, and 96.1% with CT data sets 1, 2, and 3, respectively. CT angiography has excellent diagnostic accuracy in the assessment of lower-leg PAD provided that the thinnest possible section width is used.
Authors:
Thomas Schertler; Simon Wildermuth; Hatem Alkadhi; Michael Kruppa; Borut Marincek; Thomas Boehm
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Radiology     Volume:  237     ISSN:  0033-8419     ISO Abbreviation:  Radiology     Publication Date:  2005 Nov 
Date Detail:
Created Date:  2005-10-24     Completed Date:  2005-11-29     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0401260     Medline TA:  Radiology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  649-56     Citation Subset:  AIM; IM    
Affiliation:
Institute of Diagnostic Radiology, University Hospital Zurich, Switzerland.
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MeSH Terms
Descriptor/Qualifier:
Aged
Aged, 80 and over
Angiography / methods*
Angiography, Digital Subtraction
Arterial Occlusive Diseases / radiography*
Female
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Leg / blood supply*
Male
Middle Aged
Prospective Studies
Sensitivity and Specificity
Statistics, Nonparametric
Tomography, X-Ray Computed*

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


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