A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions

Detalhes bibliográficos
Autor(a) principal: Falcão,Breno A. A.
Data de Publicação: 2015
Outros Autores: Falcão,João Luiz A. A., Morais,Gustavo R., Silva,Rafael C., Lopes,Augusto C., Soares,Paulo R., Mariani Jr,José, Kalil-Filho,Roberto, Edelman,Elazer R., Lemos,Pedro A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos Brasileiros de Cardiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2015002300390
Resumo: Background:Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions.Objective:to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions.Methods:Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI.Results:According to the new algorithm, “Ectatic” remodeling pattern was least common, “Complete compensatory” remodeling was present in approximately half of the instances, and “Negative” and “Incomplete compensatory” remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH.Conclusion:Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression.
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spelling A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal DimensionsCoronary Artery DiseasesVascular RemodelingAtherosclerosis / physiopathologyNeovascularization, PathologicUltrasonographyBackground:Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions.Objective:to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions.Methods:Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI.Results:According to the new algorithm, “Ectatic” remodeling pattern was least common, “Complete compensatory” remodeling was present in approximately half of the instances, and “Negative” and “Incomplete compensatory” remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH.Conclusion:Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression.Sociedade Brasileira de Cardiologia - SBC2015-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2015002300390Arquivos Brasileiros de Cardiologia v.105 n.4 2015reponame:Arquivos Brasileiros de Cardiologia (Online)instname:Sociedade Brasileira de Cardiologia (SBC)instacron:SBC10.5935/abc.20150098info:eu-repo/semantics/openAccessFalcão,Breno A. A.Falcão,João Luiz A. A.Morais,Gustavo R.Silva,Rafael C.Lopes,Augusto C.Soares,Paulo R.Mariani Jr,JoséKalil-Filho,RobertoEdelman,Elazer R.Lemos,Pedro A.eng2015-11-06T00:00:00Zoai:scielo:S0066-782X2015002300390Revistahttp://www.arquivosonline.com.br/https://old.scielo.br/oai/scielo-oai.php||arquivos@cardiol.br1678-41700066-782Xopendoar:2015-11-06T00:00Arquivos Brasileiros de Cardiologia (Online) - Sociedade Brasileira de Cardiologia (SBC)false
dc.title.none.fl_str_mv A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
title A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
spellingShingle A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
Falcão,Breno A. A.
Coronary Artery Diseases
Vascular Remodeling
Atherosclerosis / physiopathology
Neovascularization, Pathologic
Ultrasonography
title_short A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
title_full A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
title_fullStr A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
title_full_unstemmed A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
title_sort A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions
author Falcão,Breno A. A.
author_facet Falcão,Breno A. A.
Falcão,João Luiz A. A.
Morais,Gustavo R.
Silva,Rafael C.
Lopes,Augusto C.
Soares,Paulo R.
Mariani Jr,José
Kalil-Filho,Roberto
Edelman,Elazer R.
Lemos,Pedro A.
author_role author
author2 Falcão,João Luiz A. A.
Morais,Gustavo R.
Silva,Rafael C.
Lopes,Augusto C.
Soares,Paulo R.
Mariani Jr,José
Kalil-Filho,Roberto
Edelman,Elazer R.
Lemos,Pedro A.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Falcão,Breno A. A.
Falcão,João Luiz A. A.
Morais,Gustavo R.
Silva,Rafael C.
Lopes,Augusto C.
Soares,Paulo R.
Mariani Jr,José
Kalil-Filho,Roberto
Edelman,Elazer R.
Lemos,Pedro A.
dc.subject.por.fl_str_mv Coronary Artery Diseases
Vascular Remodeling
Atherosclerosis / physiopathology
Neovascularization, Pathologic
Ultrasonography
topic Coronary Artery Diseases
Vascular Remodeling
Atherosclerosis / physiopathology
Neovascularization, Pathologic
Ultrasonography
description Background:Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions.Objective:to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions.Methods:Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI.Results:According to the new algorithm, “Ectatic” remodeling pattern was least common, “Complete compensatory” remodeling was present in approximately half of the instances, and “Negative” and “Incomplete compensatory” remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH.Conclusion:Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2015002300390
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2015002300390
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/abc.20150098
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia - SBC
publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia - SBC
dc.source.none.fl_str_mv Arquivos Brasileiros de Cardiologia v.105 n.4 2015
reponame:Arquivos Brasileiros de Cardiologia (Online)
instname:Sociedade Brasileira de Cardiologia (SBC)
instacron:SBC
instname_str Sociedade Brasileira de Cardiologia (SBC)
instacron_str SBC
institution SBC
reponame_str Arquivos Brasileiros de Cardiologia (Online)
collection Arquivos Brasileiros de Cardiologia (Online)
repository.name.fl_str_mv Arquivos Brasileiros de Cardiologia (Online) - Sociedade Brasileira de Cardiologia (SBC)
repository.mail.fl_str_mv ||arquivos@cardiol.br
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