| Carotid artery stenosis quantification: Concordance analysis between radiologist and semi-automatic computer software by using Multi-Detector-Row CT angiography. | |
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MedLine Citation:
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PMID: 20031358 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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. |
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Authors:
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Luca Saba; Roberto Sanfilippo; Roberto Montisci; Giancarlo Calleo; Giorgio Mallarini |
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Publication Detail:
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Type: Journal Article Date: 2009-12-23 |
Journal Detail:
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Title: European journal of radiology Volume: 79 ISSN: 1872-7727 ISO Abbreviation: Eur J Radiol Publication Date: 2011 Jul |
Date Detail:
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Created Date: 2011-06-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8106411 Medline TA: Eur J Radiol Country: Ireland |
Other Details:
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Languages: eng Pagination: 80-4 Citation Subset: IM |
Copyright Information:
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Copyright © 2009 Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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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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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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