Document Detail


Carotid artery stenosis quantification: Concordance analysis between radiologist and semi-automatic computer software by using Multi-Detector-Row CT angiography.
MedLine Citation:
PMID:  20031358     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
PURPOSE: Carotid artery stenosis quantification is still considered a leading parameter in the choice of the therapeutic option. Our purpose was to asses the concordance between radiologist and a semi-automatic computer software in the stenosis quantification of carotid artery studied by using a Multi-Detector-Row CT angiography (MDCTA).
METHODS AND MATERIAL: 45 patients studied by using a 40-detector row CT scanner were retrospectively analyzed. Carotid artery stenosis was quantified by one high experienced radiologist in vessel analysis and by using a dedicated software. Carotid artery stenosis was calculated according to the ECST method. Bland-Altman statistics was used to measure the inter- and intra-concordance between radiologist and software and correlation coefficient between measures were performed by using nonparametric Spearmann correlation statistic. A p value<0.05 was considered to mean statistical significance.
RESULTS: A strength correlation according to linear regression (correlation Spearman'ρ coefficient=0.975; p<0.0001) between radiologist and software of vessel analysis was observed. Between first and second stenosis of carotid artery quantification performed by radiologist and software of vessel analysis we observed a Spearman'ρ coefficient=0.943 (p<0.0001) and a Spearman'ρ coefficient=0.9879; (p<0.0001) respectively.
CONCLUSIONS: Our results indicated that there is a strength correlation according to linear regression between stenosis of carotid artery quantification performed by radiologist and semi-automatic software. Reproducibility between measurements performed by semi-automatic software are higher compared to radiologist.
Authors:
Luca Saba; Roberto Sanfilippo; Roberto Montisci; Giancarlo Calleo; Giorgio Mallarini
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Publication Detail:
Type:  Journal Article     Date:  2009-12-23
Journal Detail:
Title:  European journal of radiology     Volume:  79     ISSN:  1872-7727     ISO Abbreviation:  Eur J Radiol     Publication Date:  2011 Jul 
Date Detail:
Created Date:  2011-06-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8106411     Medline TA:  Eur J Radiol     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  80-4     Citation Subset:  IM    
Copyright Information:
Copyright © 2009 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Department of Radiology, Policlinico Universitario, A.O.U. Cagliari, s.s. 554 Monserrato, Cagliari 09045, Italy; Department of Vascular Surgery, Policlinico Universitario, A.O.U. Cagliari, s.s. 554 Monserrato, Cagliari 09045, Italy.
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