Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/14598 |
Resumo: | Ultrasound contrast imaging has been used to assess tumour growth and regression by assessing the flow through the macro- and micro-vasculature. Our aim was to differentiate the blood kinetics of vessels such as veins, arteries and microvasculature within the limits of the spatial resolution of contrast-enhanced ultrasound imaging. The highly vascularised ovine ovary was used as a biological model. Perfusion of the ovary with SonoVue was recorded with a Philips iU22 scanner in contrast imaging mode. One ewe was treated with prostaglandin to induce vascular regression. Time-intensity curves (TIC) for different regions of interest were obtained, a lognormal model was fitted and flow parameters calculated. Parametric maps of the whole imaging plane were generated for 2 × 2 pixel regions of interest. Further analysis of TICs from selected locations helped specify parameters associated with differentiation into four categories of vessels (arteries, veins, medium-sized vessels and micro-vessels). Time-dependent parameters were associated with large veins, whereas intensity-dependent parameters were associated with large arteries. Further development may enable automation of the technique as an efficient way of monitoring vessel distributions in a clinical setting using currently available scanners. |
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Differentiation of vascular characteristics using contrast-enhanced ultrasound imagingAnimalsContrast mediaFemaleIn vitro techniquesOvaryPhospholipidsReproducibility of resultsSheepSulfur HexafluorideUltrasonographyDopplerUltrasound contrast imaging has been used to assess tumour growth and regression by assessing the flow through the macro- and micro-vasculature. Our aim was to differentiate the blood kinetics of vessels such as veins, arteries and microvasculature within the limits of the spatial resolution of contrast-enhanced ultrasound imaging. The highly vascularised ovine ovary was used as a biological model. Perfusion of the ovary with SonoVue was recorded with a Philips iU22 scanner in contrast imaging mode. One ewe was treated with prostaglandin to induce vascular regression. Time-intensity curves (TIC) for different regions of interest were obtained, a lognormal model was fitted and flow parameters calculated. Parametric maps of the whole imaging plane were generated for 2 × 2 pixel regions of interest. Further analysis of TICs from selected locations helped specify parameters associated with differentiation into four categories of vessels (arteries, veins, medium-sized vessels and micro-vessels). Time-dependent parameters were associated with large veins, whereas intensity-dependent parameters were associated with large arteries. Further development may enable automation of the technique as an efficient way of monitoring vessel distributions in a clinical setting using currently available scanners.Agência financiadora Medical Research Council UK (MRC) 30800896 Science & Technology Facilities Council (STFC) ST/M007804/1 British Heart Foundation PG/10/021/28254 Life Sciences Discovery Fund 3292512 United States Department of Defense CA160415/PRCRPElsevierSapientiaButler, MaireadPerperidis, AntoniosZahra, Jean-Luc MatteoSilva, NadiaAverkiou, MichalakisDuncan, W. ColinMcNeilly, AlanSboros, Vassilis2020-08-04T14:02:34Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/14598eng10.1016/j.ultrasmedbio.2019.05.015info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:26:54Zoai:sapientia.ualg.pt:10400.1/14598Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:05:36.390659Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging |
title |
Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging |
spellingShingle |
Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging Butler, Mairead Animals Contrast media Female In vitro techniques Ovary Phospholipids Reproducibility of results Sheep Sulfur Hexafluoride Ultrasonography Doppler |
title_short |
Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging |
title_full |
Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging |
title_fullStr |
Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging |
title_full_unstemmed |
Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging |
title_sort |
Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging |
author |
Butler, Mairead |
author_facet |
Butler, Mairead Perperidis, Antonios Zahra, Jean-Luc Matteo Silva, Nadia Averkiou, Michalakis Duncan, W. Colin McNeilly, Alan Sboros, Vassilis |
author_role |
author |
author2 |
Perperidis, Antonios Zahra, Jean-Luc Matteo Silva, Nadia Averkiou, Michalakis Duncan, W. Colin McNeilly, Alan Sboros, Vassilis |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Butler, Mairead Perperidis, Antonios Zahra, Jean-Luc Matteo Silva, Nadia Averkiou, Michalakis Duncan, W. Colin McNeilly, Alan Sboros, Vassilis |
dc.subject.por.fl_str_mv |
Animals Contrast media Female In vitro techniques Ovary Phospholipids Reproducibility of results Sheep Sulfur Hexafluoride Ultrasonography Doppler |
topic |
Animals Contrast media Female In vitro techniques Ovary Phospholipids Reproducibility of results Sheep Sulfur Hexafluoride Ultrasonography Doppler |
description |
Ultrasound contrast imaging has been used to assess tumour growth and regression by assessing the flow through the macro- and micro-vasculature. Our aim was to differentiate the blood kinetics of vessels such as veins, arteries and microvasculature within the limits of the spatial resolution of contrast-enhanced ultrasound imaging. The highly vascularised ovine ovary was used as a biological model. Perfusion of the ovary with SonoVue was recorded with a Philips iU22 scanner in contrast imaging mode. One ewe was treated with prostaglandin to induce vascular regression. Time-intensity curves (TIC) for different regions of interest were obtained, a lognormal model was fitted and flow parameters calculated. Parametric maps of the whole imaging plane were generated for 2 × 2 pixel regions of interest. Further analysis of TICs from selected locations helped specify parameters associated with differentiation into four categories of vessels (arteries, veins, medium-sized vessels and micro-vessels). Time-dependent parameters were associated with large veins, whereas intensity-dependent parameters were associated with large arteries. Further development may enable automation of the technique as an efficient way of monitoring vessel distributions in a clinical setting using currently available scanners. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z 2020-08-04T14:02:34Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/14598 |
url |
http://hdl.handle.net/10400.1/14598 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1016/j.ultrasmedbio.2019.05.015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133296019374080 |