Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients

Autores
Bulant, C. A.; Blanco, P. J.; Clausse, Alejandro; Assunção, A. N.; Lima, T. P.; Ávila, L. F. R.; Feijóo, Raúl Antonino; Lemos, P. A.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Geometrical risk factors for coronary atherosclerosis were proposed in the eighties as a complement to fluid dynamic and biomechanical mechanisms for atherosclerotic genesis and progression. Up to date there are no conclusive results in the subject, although several studies suggest that there is an underlying relation between geometry and disease. Coronary computed tomography angiographies of 48 patients were processed, and the left anterior descending artery (LAD) of each patient was geometrically characterized by computing point-wise curvature. Distal averaging of this feature was used as discriminating variable to identify healthy and diseased arteries. Standard statistical analysis was performed and a binary classifier was used to assess the discriminating capability of the so called average distal curvature (κ¯d). A significant difference between the distribution of κ¯d in healthy and diseased LADs was found (p < 0.01). Performance of the classifier for a cut-off value of κ¯d=0.0537 mm−1 in terms of accuracy, sensitivity and specificity is 75%, 70% and 80% respectively. The area under the receiver-operator curve is 0.75. The results presented here support the hypothesis of a significant correlation between low values of average distal curvature and stenotic lesions in LAD arteries.
Fil: Bulant, C. A.. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; Brasil. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Blanco, P. J.. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; Brasil. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Clausse, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Comisión Nacional de Energía Atómica; Argentina
Fil: Assunção, A. N.. Universidade de Sao Paulo; Brasil
Fil: Lima, T. P.. Universidade de Sao Paulo; Brasil
Fil: Ávila, L. F. R.. Universidade de Sao Paulo; Brasil
Fil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; Brasil. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; Brasil
Fil: Lemos, P. A.. Universidade de Sao Paulo; Brasil
Materia
AVERAGE DISTAL CURVATURE
CORONARY ARTERY DISEASE
CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY
GEOMETRIC RISK FACTORS
LEFT ANTERIOR DESCENDING ARTERY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/95702

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network_name_str CONICET Digital (CONICET)
spelling Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patientsBulant, C. A.Blanco, P. J.Clausse, AlejandroAssunção, A. N.Lima, T. P.Ávila, L. F. R.Feijóo, Raúl AntoninoLemos, P. A.AVERAGE DISTAL CURVATURECORONARY ARTERY DISEASECORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHYGEOMETRIC RISK FACTORSLEFT ANTERIOR DESCENDING ARTERYhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Geometrical risk factors for coronary atherosclerosis were proposed in the eighties as a complement to fluid dynamic and biomechanical mechanisms for atherosclerotic genesis and progression. Up to date there are no conclusive results in the subject, although several studies suggest that there is an underlying relation between geometry and disease. Coronary computed tomography angiographies of 48 patients were processed, and the left anterior descending artery (LAD) of each patient was geometrically characterized by computing point-wise curvature. Distal averaging of this feature was used as discriminating variable to identify healthy and diseased arteries. Standard statistical analysis was performed and a binary classifier was used to assess the discriminating capability of the so called average distal curvature (κ¯d). A significant difference between the distribution of κ¯d in healthy and diseased LADs was found (p < 0.01). Performance of the classifier for a cut-off value of κ¯d=0.0537 mm−1 in terms of accuracy, sensitivity and specificity is 75%, 70% and 80% respectively. The area under the receiver-operator curve is 0.75. The results presented here support the hypothesis of a significant correlation between low values of average distal curvature and stenotic lesions in LAD arteries.Fil: Bulant, C. A.. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; Brasil. Laboratorio Nacional de Computacao Cientifica; BrasilFil: Blanco, P. J.. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; Brasil. Laboratorio Nacional de Computacao Cientifica; BrasilFil: Clausse, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Comisión Nacional de Energía Atómica; ArgentinaFil: Assunção, A. N.. Universidade de Sao Paulo; BrasilFil: Lima, T. P.. Universidade de Sao Paulo; BrasilFil: Ávila, L. F. R.. Universidade de Sao Paulo; BrasilFil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; Brasil. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; BrasilFil: Lemos, P. A.. Universidade de Sao Paulo; BrasilElsevier2017-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/95702Bulant, C. A.; Blanco, P. J.; Clausse, Alejandro; Assunção, A. N.; Lima, T. P.; et al.; Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients; Elsevier; Biomedical Signal Processing and Control; 31; 1-2017; 569-5751746-8094CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.bspc.2016.09.023info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1746809416301495info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:31Zoai:ri.conicet.gov.ar:11336/95702instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:31.322CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
title Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
spellingShingle Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
Bulant, C. A.
AVERAGE DISTAL CURVATURE
CORONARY ARTERY DISEASE
CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY
GEOMETRIC RISK FACTORS
LEFT ANTERIOR DESCENDING ARTERY
title_short Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
title_full Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
title_fullStr Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
title_full_unstemmed Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
title_sort Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients
dc.creator.none.fl_str_mv Bulant, C. A.
Blanco, P. J.
Clausse, Alejandro
Assunção, A. N.
Lima, T. P.
Ávila, L. F. R.
Feijóo, Raúl Antonino
Lemos, P. A.
author Bulant, C. A.
author_facet Bulant, C. A.
Blanco, P. J.
Clausse, Alejandro
Assunção, A. N.
Lima, T. P.
Ávila, L. F. R.
Feijóo, Raúl Antonino
Lemos, P. A.
author_role author
author2 Blanco, P. J.
Clausse, Alejandro
Assunção, A. N.
Lima, T. P.
Ávila, L. F. R.
Feijóo, Raúl Antonino
Lemos, P. A.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AVERAGE DISTAL CURVATURE
CORONARY ARTERY DISEASE
CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY
GEOMETRIC RISK FACTORS
LEFT ANTERIOR DESCENDING ARTERY
topic AVERAGE DISTAL CURVATURE
CORONARY ARTERY DISEASE
CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY
GEOMETRIC RISK FACTORS
LEFT ANTERIOR DESCENDING ARTERY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Geometrical risk factors for coronary atherosclerosis were proposed in the eighties as a complement to fluid dynamic and biomechanical mechanisms for atherosclerotic genesis and progression. Up to date there are no conclusive results in the subject, although several studies suggest that there is an underlying relation between geometry and disease. Coronary computed tomography angiographies of 48 patients were processed, and the left anterior descending artery (LAD) of each patient was geometrically characterized by computing point-wise curvature. Distal averaging of this feature was used as discriminating variable to identify healthy and diseased arteries. Standard statistical analysis was performed and a binary classifier was used to assess the discriminating capability of the so called average distal curvature (κ¯d). A significant difference between the distribution of κ¯d in healthy and diseased LADs was found (p < 0.01). Performance of the classifier for a cut-off value of κ¯d=0.0537 mm−1 in terms of accuracy, sensitivity and specificity is 75%, 70% and 80% respectively. The area under the receiver-operator curve is 0.75. The results presented here support the hypothesis of a significant correlation between low values of average distal curvature and stenotic lesions in LAD arteries.
Fil: Bulant, C. A.. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; Brasil. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Blanco, P. J.. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; Brasil. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Clausse, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Comisión Nacional de Energía Atómica; Argentina
Fil: Assunção, A. N.. Universidade de Sao Paulo; Brasil
Fil: Lima, T. P.. Universidade de Sao Paulo; Brasil
Fil: Ávila, L. F. R.. Universidade de Sao Paulo; Brasil
Fil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; Brasil. National Institute Of Science And Technology In Medicine Assisted By Scientific Computing; Brasil
Fil: Lemos, P. A.. Universidade de Sao Paulo; Brasil
description Geometrical risk factors for coronary atherosclerosis were proposed in the eighties as a complement to fluid dynamic and biomechanical mechanisms for atherosclerotic genesis and progression. Up to date there are no conclusive results in the subject, although several studies suggest that there is an underlying relation between geometry and disease. Coronary computed tomography angiographies of 48 patients were processed, and the left anterior descending artery (LAD) of each patient was geometrically characterized by computing point-wise curvature. Distal averaging of this feature was used as discriminating variable to identify healthy and diseased arteries. Standard statistical analysis was performed and a binary classifier was used to assess the discriminating capability of the so called average distal curvature (κ¯d). A significant difference between the distribution of κ¯d in healthy and diseased LADs was found (p < 0.01). Performance of the classifier for a cut-off value of κ¯d=0.0537 mm−1 in terms of accuracy, sensitivity and specificity is 75%, 70% and 80% respectively. The area under the receiver-operator curve is 0.75. The results presented here support the hypothesis of a significant correlation between low values of average distal curvature and stenotic lesions in LAD arteries.
publishDate 2017
dc.date.none.fl_str_mv 2017-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/95702
Bulant, C. A.; Blanco, P. J.; Clausse, Alejandro; Assunção, A. N.; Lima, T. P.; et al.; Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients; Elsevier; Biomedical Signal Processing and Control; 31; 1-2017; 569-575
1746-8094
CONICET Digital
CONICET
url http://hdl.handle.net/11336/95702
identifier_str_mv Bulant, C. A.; Blanco, P. J.; Clausse, Alejandro; Assunção, A. N.; Lima, T. P.; et al.; Association between three-dimensional vessel geometry and the presence of atherosclerotic plaques in the left anterior descending coronary artery of high-risk patients; Elsevier; Biomedical Signal Processing and Control; 31; 1-2017; 569-575
1746-8094
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.bspc.2016.09.023
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1746809416301495
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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