Logo do repositório
 
Publicação

An ultrasonographic risk score for detecting symptomatic carotid atherosclerotic plaques

2015Artigo científico Acesso restrito
Ver registo simples
dc.contributor.authorAfonso, David
dc.contributor.authorSeabra, José
dc.contributor.authorPedro, Luís M
dc.contributor.authorFernandes, Jose Fernandes e
dc.contributor.authorSanches, J. Miguel
dc.date.accessioned2020-11-10T16:25:25Z
dc.date.available2020-11-10T16:25:25Z
dc.date.issued2015
dc.description© 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.pt_PT
dc.description.abstractThis paper proposes a risk score computed from ultrasound data that correlates to plaque activity. It has the twofold purpose of detecting symptomatic plaques and estimating the likelihood of the asymptomatic lesion to become symptomatic. The proposed ultrasonographic activity index (UAI) relies on the plaque active profile, which is a combination of the most discriminate ultrasound parameter associated with symptoms. These features are extracted by the automatic algorithm and also by the physician from the ultrasound images and from some transformations on it, such as monogenic decomposition, which is a novelty in this clinical problem. This information is used to compute a risk score from the conditional probabilities of either symptomatic or asymptomatic groups. Symptom detection performance is evaluated on a transversal dataset of 146 plaques, where UAI obtained 83.5% accuracy, 84.1% sensitivity, and 83.7% specificity. Performance is also assessed on a longitudinal study of 112 plaques, where UAI shows a significant improvement over the gold standard degree of stenosis, demonstrating higher power at predicting which asymptomatic plaques developed symptoms in an average follow-up of ten months. Results suggest that this score could have a positive impact on early stroke prevention and treatment planning.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationIEEE Journal of Biomedical and Health Informatics, vol. 19, no. 4, pp. 1505-1513, July 2015pt_PT
dc.identifier.doi10.1109/JBHI.2014.2359236pt_PT
dc.identifier.eissn2168-2208
dc.identifier.issn2168-2194
dc.identifier.urihttp://hdl.handle.net/10451/44827
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221020pt_PT
dc.subjectFeature extractionpt_PT
dc.subjectSpecklept_PT
dc.subjectUltrasonic imagingpt_PT
dc.subjectVectorspt_PT
dc.subjectBiomedical imagingpt_PT
dc.subjectIndexespt_PT
dc.subjectMedical servicespt_PT
dc.titleAn ultrasonographic risk score for detecting symptomatic carotid atherosclerotic plaquespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1513pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage1505pt_PT
oaire.citation.titleIEEE Journal of Biomedical and Health Informaticspt_PT
oaire.citation.volume19pt_PT
person.familyNamePedro
person.givenNameLuís
person.identifier.ciencia-id0B14-1812-24DC
person.identifier.orcid0000-0003-4310-9324
person.identifier.scopus-author-id7004454630
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationff4d548a-318e-4368-b735-e8b82e060dd3
relation.isAuthorOfPublication.latestForDiscoveryff4d548a-318e-4368-b735-e8b82e060dd3

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
Ultrasonographic_risk.pdf
Tamanho:
795.67 KB
Formato:
Adobe Portable Document Format
Ver/Abrir

Coleções

FM - Artigos em Revistas Internacionais