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NASCET Percent Stenosis Semi-Automated Versus Manual Measurement on CTA.
MedLine Citation:
PMID:  22547515     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Purpose: To compare North American Symptomatic Carotid Endarterectomy Trial (NASCET) stenosis values and NASCET grade categorization (mild, moderate, severe) of semi-automated vessel analysis software versus manual measurements on computed tomography angiography (CTA). Methods: There were four observers. Two independently analyzed 81 carotid artery CTAs using semi-automated vessel analysis software according to a blinded protocol. The software measured the narrowest stenosis in millimeters (mm), distal internal carotid artery (ICA) in mm, and calculated percent stenosis based on NASCET criteria. One of these two observers performed this task twice on each carotid, the second analysis was delayed two months in order to mitigate recall bias. Two other observers manually measured the narrowest stenosis in mm, distal ICA in mm, and calculated NASCET percent stenosis in a blinded fashion. The calculated NASCET stenoses were categorized into mild, moderate, or severe. Chi square and analysis of variance (ANOVA) were used to test for statistical differences. Results: ANOVA did not find a statistically significant difference in the mean percent stenosis when comparing the two manual measurements, the two semi-automated measurements, and the repeat semi-automated. Chi square demonstrated that the distribution of grades of stenosis were statistically different (p<0.05) between the manual and semiautomated grades. Semi-automated vessel analysis tended to underestimate the degree of stenosis compared to manual measurement. Conclusion: The mean percentage stenosis determined by semi-automated vessel analysis is not significantly different from manual measurement. However, when the data is categorized into mild, moderate and severe stenosis, there is a significant difference between semi-automated and manual measurements. The semi-automated software tends to underestimate the stenosis grade compared to manual measurement.
Authors:
Kevin Lian; Jeremy H White; Eric S Bartlett; Aditya Bharatha; Richard I Aviv; Allan J Fox; Sean P Symons
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques     Volume:  39     ISSN:  0317-1671     ISO Abbreviation:  Can J Neurol Sci     Publication Date:  2012 May 
Date Detail:
Created Date:  2012-05-01     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0415227     Medline TA:  Can J Neurol Sci     Country:  Canada    
Other Details:
Languages:  eng     Pagination:  343-6     Citation Subset:  IM    
Affiliation:
Division of Neuroradiology, Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
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