Document Detail


Evaluation of texture for classification of abdominal aortic aneurysm after endovascular repair.
MedLine Citation:
PMID:  21901536     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The use of the endovascular prostheses in abdominal aortic aneurysm has proven to be an effective technique to reduce the pressure and rupture risk of aneurysm. Nevertheless, in a long-term perspective, complications such as leaks inside the aneurysm sac (endoleaks) could appear causing a pressure elevation and increasing the danger of rupture consequently. At present, computed tomographic angiography (CTA) is the most common examination for medical surveillance. However, endoleak complications cannot always be detected by visual inspection on CTA scans. The investigation on new techniques to detect endoleaks and analyse their effects on treatment evolution is of great importance for endovascular aneurysm repair (EVAR) technique. The purpose of this work was to evaluate the capability of texture features obtained from the aneurysmatic thrombus CT images to discriminate different types of evolutions caused by endoleaks. The regions of interest (ROIs) from patients with different post-EVAR evolution were extracted by experienced radiologists. Three techniques were applied to each ROI to obtain texture parameters, namely the grey level co-occurrence matrix (GLCM), the grey level run length matrix (GLRLM) and the grey level difference method (GLDM). The results showed that GLCM, GLRLM and GLDM features presented a good discrimination ability to differentiate between favourable or unfavourable evolutions. GLCM was the most efficient in terms of classification accuracy (93.41% ± 0.024) followed by GLRLM (90.17% ± 0.077) and finally by GLDM (81.98% ± 0.045). According to the results, we can consider texture analysis as complementary information to classified abdominal aneurysm evolution after EVAR.
Authors:
Guillermo García; Josu Maiora; Arantxa Tapia; Mariano De Blas
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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 Jun 
Date Detail:
Created Date:  2012-05-10     Completed Date:  2012-09-20     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  369-76     Citation Subset:  IM    
Affiliation:
University of the Basque Country, Systems Engineering and Automatic Department, Polytechnical University College, Plaza Europa 1, San Sebastian, Spain. g.garcia@ehu.es
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MeSH Terms
Descriptor/Qualifier:
Aged
Aged, 80 and over
Aortic Aneurysm, Abdominal / radiography*,  surgery*
Blood Vessel Prosthesis Implantation*
Endoleak / classification,  radiography*
Female
Humans
Male
Neural Networks (Computer)
Postoperative Complications / classification,  radiography*
Tomography, X-Ray Computed*
Treatment Outcome
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