Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum

Adventitial vasa vasorum are physiologic microvessels that nourish artery walls. In the presence of cardiovascular risk factors, these microvessels proliferate abnormally. Studies have reported that they are the first stage of atheromatous disease. Contrast-enhanced ultrasound (CEUS) of the carotid...

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Autores: Pereira, Tania, Muguruza, José, Virtu, Maria, Vilaprinyo Terré, Ester, Sorribas Tello, Albert, Fernández i Giráldez, Elvira, Fernández Armenteros, José Manuel, Baena-Fustegueras, Juan A, Rius, Ferran, Betriu i Bars, M. Àngels, Solsona Tehàs, Francesc, Alves, Rui
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/465105
Acesso em linha:https://doi.org/10.1016/j.ultrasmedbio.2018.07.027
https://hdl.handle.net/10459.1/465105
Access Level:acceso abierto
Palavra-chave:Vasa Vasorum
Contrast-enhanced Ultrasound
Carotid Artery
Automatic Image analysis
Atherosclerosis
Adventitial Layer
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spelling Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa VasorumPereira, TaniaMuguruza, JoséVirtu, MariaVilaprinyo Terré, EsterSorribas Tello, AlbertFernández i Giráldez, ElviraFernández Armenteros, José ManuelBaena-Fustegueras, Juan ARius, FerranBetriu i Bars, M. ÀngelsSolsona Tehàs, FrancescAlves, RuiVasa VasorumContrast-enhanced UltrasoundCarotid ArteryAutomatic Image analysisAtherosclerosisAdventitial LayerAdventitial vasa vasorum are physiologic microvessels that nourish artery walls. In the presence of cardiovascular risk factors, these microvessels proliferate abnormally. Studies have reported that they are the first stage of atheromatous disease. Contrast-enhanced ultrasound (CEUS) of the carotid allows direct, quantitative and non-invasive visualization of the adventitial vasa vasorum. Hence, the development of computer-assisted methods that speed image analysis and eliminate user subjectivity is important. We developed methods for automatic analyses and quantification of vasa vasorum neovascularization in CEUS and tested these methods in a cohort of 186 individuals, 63 of whom were healthy volunteers. We implemented alternative automatic strategies for using the images to stratify patients according to their risk group and compare the strategies with respect to diagnostic performance. An automatic single-parameter strategy performs less effectively than the corresponding Arcidiacono method based on manual interpretation of the images (68 < area under the receiver operating characteristic curve [AUROC] for the manual Arcidiacono method < 82; 60 < AUROC for the automatic single-parameter strategy < 63). However, by use of additional image parameters, an automatic multiparameter strategy has significantly improved performance with respect to the manual Arcidiacono method (78 < AUROC < 90). The automatic multiparameter strategy is a valuable alternative to the manual Arcidiacono method, improving both diagnostic speed and diagnostic accuracy.This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no [609396] and from bridge grants from CMB and VR of the University of Lleida. Data acquisition was supported by a fellowship from the Spanish Society of Endocrinology and Nutrition (Sociedad Española de Endocrinología y Nutrición, FSEEN) and two projects from FIS (GLD15/00206 and PI15/00332). We thank the anonymous reviewers for clearly improving the clarity and quality of this paper.Elsevier2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1016/j.ultrasmedbio.2018.07.027https://hdl.handle.net/10459.1/465105reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1016/j.ultrasmedbio.2018.07.027Ultrasound in Medicine and Biology, 2018, vol. 44, núm. 12, p. 2780-2792info:eu-repo/grantAgreement/EC/FP7/609396cc-by-nc-nd (c) Elservier, 2018Attribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:recercat.cat:10459.1/4651052026-05-29T05:05:01Z
dc.title.none.fl_str_mv Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum
title Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum
spellingShingle Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum
Pereira, Tania
Vasa Vasorum
Contrast-enhanced Ultrasound
Carotid Artery
Automatic Image analysis
Atherosclerosis
Adventitial Layer
title_short Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum
title_full Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum
title_fullStr Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum
title_full_unstemmed Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum
title_sort Automatic Methods for Carotid Contrast-Enhanced Ultrasound Imaging Quantification of Adventitial Vasa Vasorum
dc.creator.none.fl_str_mv Pereira, Tania
Muguruza, José
Virtu, Maria
Vilaprinyo Terré, Ester
Sorribas Tello, Albert
Fernández i Giráldez, Elvira
Fernández Armenteros, José Manuel
Baena-Fustegueras, Juan A
Rius, Ferran
Betriu i Bars, M. Àngels
Solsona Tehàs, Francesc
Alves, Rui
author Pereira, Tania
author_facet Pereira, Tania
Muguruza, José
Virtu, Maria
Vilaprinyo Terré, Ester
Sorribas Tello, Albert
Fernández i Giráldez, Elvira
Fernández Armenteros, José Manuel
Baena-Fustegueras, Juan A
Rius, Ferran
Betriu i Bars, M. Àngels
Solsona Tehàs, Francesc
Alves, Rui
author_role author
author2 Muguruza, José
Virtu, Maria
Vilaprinyo Terré, Ester
Sorribas Tello, Albert
Fernández i Giráldez, Elvira
Fernández Armenteros, José Manuel
Baena-Fustegueras, Juan A
Rius, Ferran
Betriu i Bars, M. Àngels
Solsona Tehàs, Francesc
Alves, Rui
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Vasa Vasorum
Contrast-enhanced Ultrasound
Carotid Artery
Automatic Image analysis
Atherosclerosis
Adventitial Layer
topic Vasa Vasorum
Contrast-enhanced Ultrasound
Carotid Artery
Automatic Image analysis
Atherosclerosis
Adventitial Layer
description Adventitial vasa vasorum are physiologic microvessels that nourish artery walls. In the presence of cardiovascular risk factors, these microvessels proliferate abnormally. Studies have reported that they are the first stage of atheromatous disease. Contrast-enhanced ultrasound (CEUS) of the carotid allows direct, quantitative and non-invasive visualization of the adventitial vasa vasorum. Hence, the development of computer-assisted methods that speed image analysis and eliminate user subjectivity is important. We developed methods for automatic analyses and quantification of vasa vasorum neovascularization in CEUS and tested these methods in a cohort of 186 individuals, 63 of whom were healthy volunteers. We implemented alternative automatic strategies for using the images to stratify patients according to their risk group and compare the strategies with respect to diagnostic performance. An automatic single-parameter strategy performs less effectively than the corresponding Arcidiacono method based on manual interpretation of the images (68 < area under the receiver operating characteristic curve [AUROC] for the manual Arcidiacono method < 82; 60 < AUROC for the automatic single-parameter strategy < 63). However, by use of additional image parameters, an automatic multiparameter strategy has significantly improved performance with respect to the manual Arcidiacono method (78 < AUROC < 90). The automatic multiparameter strategy is a valuable alternative to the manual Arcidiacono method, improving both diagnostic speed and diagnostic accuracy.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.ultrasmedbio.2018.07.027
https://hdl.handle.net/10459.1/465105
url https://doi.org/10.1016/j.ultrasmedbio.2018.07.027
https://hdl.handle.net/10459.1/465105
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.ultrasmedbio.2018.07.027
Ultrasound in Medicine and Biology, 2018, vol. 44, núm. 12, p. 2780-2792
info:eu-repo/grantAgreement/EC/FP7/609396
dc.rights.none.fl_str_mv cc-by-nc-nd (c) Elservier, 2018
Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
rights_invalid_str_mv cc-by-nc-nd (c) Elservier, 2018
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.198674

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