Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis

Autores
Gonzalo, Nieves; García García, Héctor M.; Ligthart, Jurgen; Rodriguez Granillo, Gaston Alfredo; Meliga, Emanuele; Onuma, Yoshinobu; Schuurbiers, Johan C. H.; Bruining, Nico; Serruys, Patrick W.
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Objectives (i) To explore the relation between greyscale intravascular ultrasound (IVUS) plaque qualitative classification and IVUS radiofrequency data (RFD) analysis tissue types; (ii) to evaluate if plaque composition as assessed by RFD analysis can be predicted by visual assessment of greyscale IVUS images. Methods In 120 IVUS-RFD cross-sections, a sector of the plaque with homogenous tissue composition (e.g., fibrous, fibrofatty, necrotic core, and dense calcium) was selected. Two experienced observers analyzed twice the corresponding greyscale IVUS images to: (1) classify the selected sectors according to greyscale IVUS plaque type classification and (2) predict the tissue type expected in the sector by RFD analysis. Results In the greyscale IVUS plaque type classification, the observers agreed in 90/120 sectors (κ = 0.64). Calcified, soft and mixed plaques by greyscale IVUS classification were mainly composed of dense calcium, fibrofatty, and necrotic core, respectively, in the RFD analysis. The plaques classified in greyscale IVUS as fibrous were actually fibrous tissue by IVUS RFD in only 30% of the cases. Overall, high interobserver variability in the prediction of RFD results by visual assessment of greyscale IVUS images (κ = 0.23 for observer 1 and 0.55 for observer 2) was found. Sensitivities for detection of calcified tissue and NC by greyscale IVUS visual assessment were 88% and 58%, respectively. Conclusions High interobserver variability in the prediction of tissue type by visual assessment of greyscale IVUS images was observed. This underlines the need of quantitative methods for the analysis of the ultrasound characteristics of coronary plaque components.
Fil: Gonzalo, Nieves. Thoraxcenter; Países Bajos
Fil: García García, Héctor M.. Thoraxcenter; Países Bajos
Fil: Ligthart, Jurgen. Thoraxcenter; Países Bajos
Fil: Rodriguez Granillo, Gaston Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Sanatorio "Otamendi y Miroli S. A."; Argentina
Fil: Meliga, Emanuele. Thoraxcenter; Países Bajos
Fil: Onuma, Yoshinobu. Thoraxcenter; Países Bajos
Fil: Schuurbiers, Johan C. H.. Thoraxcenter; Países Bajos
Fil: Bruining, Nico. Thoraxcenter; Países Bajos
Fil: Serruys, Patrick W.. Thoraxcenter; Países Bajos
Materia
ATHEROSCLEROSIS
INTRAVASCULAR ULTRASOUND
PLAQUE CLASSIFICATION
TISSUE COMPOSITION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/244901

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysisGonzalo, NievesGarcía García, Héctor M.Ligthart, JurgenRodriguez Granillo, Gaston AlfredoMeliga, EmanueleOnuma, YoshinobuSchuurbiers, Johan C. H.Bruining, NicoSerruys, Patrick W.ATHEROSCLEROSISINTRAVASCULAR ULTRASOUNDPLAQUE CLASSIFICATIONTISSUE COMPOSITIONhttps://purl.org/becyt/ford/3.5https://purl.org/becyt/ford/3Objectives (i) To explore the relation between greyscale intravascular ultrasound (IVUS) plaque qualitative classification and IVUS radiofrequency data (RFD) analysis tissue types; (ii) to evaluate if plaque composition as assessed by RFD analysis can be predicted by visual assessment of greyscale IVUS images. Methods In 120 IVUS-RFD cross-sections, a sector of the plaque with homogenous tissue composition (e.g., fibrous, fibrofatty, necrotic core, and dense calcium) was selected. Two experienced observers analyzed twice the corresponding greyscale IVUS images to: (1) classify the selected sectors according to greyscale IVUS plaque type classification and (2) predict the tissue type expected in the sector by RFD analysis. Results In the greyscale IVUS plaque type classification, the observers agreed in 90/120 sectors (κ = 0.64). Calcified, soft and mixed plaques by greyscale IVUS classification were mainly composed of dense calcium, fibrofatty, and necrotic core, respectively, in the RFD analysis. The plaques classified in greyscale IVUS as fibrous were actually fibrous tissue by IVUS RFD in only 30% of the cases. Overall, high interobserver variability in the prediction of RFD results by visual assessment of greyscale IVUS images (κ = 0.23 for observer 1 and 0.55 for observer 2) was found. Sensitivities for detection of calcified tissue and NC by greyscale IVUS visual assessment were 88% and 58%, respectively. Conclusions High interobserver variability in the prediction of tissue type by visual assessment of greyscale IVUS images was observed. This underlines the need of quantitative methods for the analysis of the ultrasound characteristics of coronary plaque components.Fil: Gonzalo, Nieves. Thoraxcenter; Países BajosFil: García García, Héctor M.. Thoraxcenter; Países BajosFil: Ligthart, Jurgen. Thoraxcenter; Países BajosFil: Rodriguez Granillo, Gaston Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Sanatorio "Otamendi y Miroli S. A."; ArgentinaFil: Meliga, Emanuele. Thoraxcenter; Países BajosFil: Onuma, Yoshinobu. Thoraxcenter; Países BajosFil: Schuurbiers, Johan C. H.. Thoraxcenter; Países BajosFil: Bruining, Nico. Thoraxcenter; Países BajosFil: Serruys, Patrick W.. Thoraxcenter; Países BajosSpringer2008-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/mswordapplication/pdfhttp://hdl.handle.net/11336/244901Gonzalo, Nieves; García García, Héctor M.; Ligthart, Jurgen; Rodriguez Granillo, Gaston Alfredo; Meliga, Emanuele; et al.; Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis; Springer; International Journal Of Cardiovascular Imaging; 24; 8; 6-2008; 811-8181569-5794CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s10554-008-9324-2info:eu-repo/semantics/altIdentifier/doi/10.1007/s10554-008-9324-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:46:55Zoai:ri.conicet.gov.ar:11336/244901instacron: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 09:46:55.541CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis
title Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis
spellingShingle Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis
Gonzalo, Nieves
ATHEROSCLEROSIS
INTRAVASCULAR ULTRASOUND
PLAQUE CLASSIFICATION
TISSUE COMPOSITION
title_short Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis
title_full Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis
title_fullStr Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis
title_full_unstemmed Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis
title_sort Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis
dc.creator.none.fl_str_mv Gonzalo, Nieves
García García, Héctor M.
Ligthart, Jurgen
Rodriguez Granillo, Gaston Alfredo
Meliga, Emanuele
Onuma, Yoshinobu
Schuurbiers, Johan C. H.
Bruining, Nico
Serruys, Patrick W.
author Gonzalo, Nieves
author_facet Gonzalo, Nieves
García García, Héctor M.
Ligthart, Jurgen
Rodriguez Granillo, Gaston Alfredo
Meliga, Emanuele
Onuma, Yoshinobu
Schuurbiers, Johan C. H.
Bruining, Nico
Serruys, Patrick W.
author_role author
author2 García García, Héctor M.
Ligthart, Jurgen
Rodriguez Granillo, Gaston Alfredo
Meliga, Emanuele
Onuma, Yoshinobu
Schuurbiers, Johan C. H.
Bruining, Nico
Serruys, Patrick W.
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ATHEROSCLEROSIS
INTRAVASCULAR ULTRASOUND
PLAQUE CLASSIFICATION
TISSUE COMPOSITION
topic ATHEROSCLEROSIS
INTRAVASCULAR ULTRASOUND
PLAQUE CLASSIFICATION
TISSUE COMPOSITION
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.5
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Objectives (i) To explore the relation between greyscale intravascular ultrasound (IVUS) plaque qualitative classification and IVUS radiofrequency data (RFD) analysis tissue types; (ii) to evaluate if plaque composition as assessed by RFD analysis can be predicted by visual assessment of greyscale IVUS images. Methods In 120 IVUS-RFD cross-sections, a sector of the plaque with homogenous tissue composition (e.g., fibrous, fibrofatty, necrotic core, and dense calcium) was selected. Two experienced observers analyzed twice the corresponding greyscale IVUS images to: (1) classify the selected sectors according to greyscale IVUS plaque type classification and (2) predict the tissue type expected in the sector by RFD analysis. Results In the greyscale IVUS plaque type classification, the observers agreed in 90/120 sectors (κ = 0.64). Calcified, soft and mixed plaques by greyscale IVUS classification were mainly composed of dense calcium, fibrofatty, and necrotic core, respectively, in the RFD analysis. The plaques classified in greyscale IVUS as fibrous were actually fibrous tissue by IVUS RFD in only 30% of the cases. Overall, high interobserver variability in the prediction of RFD results by visual assessment of greyscale IVUS images (κ = 0.23 for observer 1 and 0.55 for observer 2) was found. Sensitivities for detection of calcified tissue and NC by greyscale IVUS visual assessment were 88% and 58%, respectively. Conclusions High interobserver variability in the prediction of tissue type by visual assessment of greyscale IVUS images was observed. This underlines the need of quantitative methods for the analysis of the ultrasound characteristics of coronary plaque components.
Fil: Gonzalo, Nieves. Thoraxcenter; Países Bajos
Fil: García García, Héctor M.. Thoraxcenter; Países Bajos
Fil: Ligthart, Jurgen. Thoraxcenter; Países Bajos
Fil: Rodriguez Granillo, Gaston Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Sanatorio "Otamendi y Miroli S. A."; Argentina
Fil: Meliga, Emanuele. Thoraxcenter; Países Bajos
Fil: Onuma, Yoshinobu. Thoraxcenter; Países Bajos
Fil: Schuurbiers, Johan C. H.. Thoraxcenter; Países Bajos
Fil: Bruining, Nico. Thoraxcenter; Países Bajos
Fil: Serruys, Patrick W.. Thoraxcenter; Países Bajos
description Objectives (i) To explore the relation between greyscale intravascular ultrasound (IVUS) plaque qualitative classification and IVUS radiofrequency data (RFD) analysis tissue types; (ii) to evaluate if plaque composition as assessed by RFD analysis can be predicted by visual assessment of greyscale IVUS images. Methods In 120 IVUS-RFD cross-sections, a sector of the plaque with homogenous tissue composition (e.g., fibrous, fibrofatty, necrotic core, and dense calcium) was selected. Two experienced observers analyzed twice the corresponding greyscale IVUS images to: (1) classify the selected sectors according to greyscale IVUS plaque type classification and (2) predict the tissue type expected in the sector by RFD analysis. Results In the greyscale IVUS plaque type classification, the observers agreed in 90/120 sectors (κ = 0.64). Calcified, soft and mixed plaques by greyscale IVUS classification were mainly composed of dense calcium, fibrofatty, and necrotic core, respectively, in the RFD analysis. The plaques classified in greyscale IVUS as fibrous were actually fibrous tissue by IVUS RFD in only 30% of the cases. Overall, high interobserver variability in the prediction of RFD results by visual assessment of greyscale IVUS images (κ = 0.23 for observer 1 and 0.55 for observer 2) was found. Sensitivities for detection of calcified tissue and NC by greyscale IVUS visual assessment were 88% and 58%, respectively. Conclusions High interobserver variability in the prediction of tissue type by visual assessment of greyscale IVUS images was observed. This underlines the need of quantitative methods for the analysis of the ultrasound characteristics of coronary plaque components.
publishDate 2008
dc.date.none.fl_str_mv 2008-06
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/11336/244901
Gonzalo, Nieves; García García, Héctor M.; Ligthart, Jurgen; Rodriguez Granillo, Gaston Alfredo; Meliga, Emanuele; et al.; Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis; Springer; International Journal Of Cardiovascular Imaging; 24; 8; 6-2008; 811-818
1569-5794
CONICET Digital
CONICET
url http://hdl.handle.net/11336/244901
identifier_str_mv Gonzalo, Nieves; García García, Héctor M.; Ligthart, Jurgen; Rodriguez Granillo, Gaston Alfredo; Meliga, Emanuele; et al.; Coronary plaque composition as assessed by greyscale intravascular ultrasound and radiofrequency spectral data analysis; Springer; International Journal Of Cardiovascular Imaging; 24; 8; 6-2008; 811-818
1569-5794
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s10554-008-9324-2
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10554-008-9324-2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/msword
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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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