Document Detail


Evaluation of computer-assisted quantification of carotid artery stenosis.
MedLine Citation:
PMID:  21786073     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The purpose of this study was to evaluate the influence of advanced software assistance on the assessment of carotid artery stenosis; particularly, the inter-observer variability of readers with different level of experience is to be investigated. Forty patients with suspected carotid artery stenosis received head and neck dual-energy CT angiography as part of their pre-interventional workup. Four blinded readers with different levels of experience performed standard imaging interpretation. At least 1 day later, they performed quantification using an advanced vessel analysis software including automatic dual-energy bone and hard plaque removal, automatic and semiautomatic vessel segmentation, as well as creation of curved planar reformation. Results were evaluated for the reproducibility of stenosis quantification of different readers by calculating the kappa and correlation values. Consensus reading of the two most experienced readers was used as the standard of reference. For standard imaging interpretation, experienced readers reached very good (k = 0.85) and good (k = 0.78) inter-observer variability. Inexperienced readers achieved moderate (k = 0.6) and fair (k = 0.24) results. Sensitivity values 80%, 91%, 83%, 77% and specificity values 100%, 84%, 82%, 53% were achieved for significant area stenosis >70%. For grading using advanced vessel analysis software, all readers achieved good inter-observer variability (k = 0.77, 0.72, 0.71, and 0.77). Specificity values of 97%, 95%, 95%, 93% and sensitivity values of 84%, 78%, 86%, 92% were achieved. In conclusion, when supported by advanced vessel analysis software, experienced readers are able to achieve good reproducibility. Even inexperienced readers are able to achieve good results in the assessment of carotid artery stenosis when using advanced vessel analysis software.
Authors:
Christina Biermann; Ilias Tsiflikas; Christoph Thomas; Bernadette Kasperek; Martin Heuschmid; Claus D Claussen
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of digital imaging     Volume:  25     ISSN:  1618-727X     ISO Abbreviation:  J Digit Imaging     Publication Date:  2012 Apr 
Date Detail:
Created Date:  2012-03-07     Completed Date:  2012-07-19     Revised Date:  2013-06-28    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  250-7     Citation Subset:  IM    
Affiliation:
Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany. christina.biermann@siemens.com
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MeSH Terms
Descriptor/Qualifier:
Angiography / methods*
Carotid Stenosis / radiography*
Contrast Media / diagnostic use
Humans
Imaging, Three-Dimensional / methods
Iopamidol / analogs & derivatives,  diagnostic use
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Sensitivity and Specificity
Software
Tomography, X-Ray Computed / methods*
User-Computer Interface
Chemical
Reg. No./Substance:
0/Contrast Media; 17E17JBP8L/iomeprol; 62883-00-5/Iopamidol
Comments/Corrections

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


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