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Patient-specific in-vivo dynamic motion of ascending thoracic aortic aneurysms from cine CTA

2026Artigo científico Acesso aberto
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datacite.subject.fosCiências Médicas
dc.contributor.authorValente, Rodrigo Baptista
dc.contributor.authorMourato, André
dc.contributor.authorCarvalho, Alda
dc.contributor.authorXavier, José
dc.contributor.authorBrito, Moisés
dc.contributor.authorAvril, Stéphane
dc.contributor.authorTomás, António
dc.contributor.authorFragata, José
dc.date.accessioned2026-07-15T15:49:41Z
dc.date.available2026-07-15T15:49:41Z
dc.date.issued2026
dc.description.abstractAscending Thoracic Aortic Aneurysm (ATAA) is a potentially fatal cardiovascular condition that may result in dissection or rupture. As a general rule, current guidelines recommend surgical intervention when the aneurysm diameter exceeds a critical threshold, typically around 55 mm in average-risk patients. However, acute complications have been reported in patients with smaller aneurysms, underscoring the need for more accurate and individualised risk stratification criteria. In this work, we propose a novel method to extract the motion of the ATAA from Cine Computed Tomography Angiography (cCTA) data, enabling the derivation of multiple motion-related variables and the assessment of their clinical significance. This method involves a multi-view 2D U-Net segmentation, followed by an algorithm to calculate nodal deformation between independent segmentations at each time-step of the cardiac cycle. The motion is described generally across the ATAA and then specifically focused on the Aortic Root (AR). The analysis was performed on 82 patients and, afterwards, a Principal Component Analysis (PCA) was performed on 28 metrics to understand which have a relevant impact on inter-patient variability. This showed that mean pressure, weight and centreline length are the most relevant variables to understand patient’s variability considering PCA loadings. These results can offer new insights into ATAA biomechanics, supporting the development of future risk stratification models and clinical decision-making.eng
dc.identifier.doi10.1109/TBME.2026.3681119
dc.identifier.urihttp://hdl.handle.net/10400.2/22254
dc.language.isoeng
dc.peerreviewedyes
dc.rights.uriN/A
dc.subjectAscending Thoracic Aortic Aneurysm (ATAA)
dc.subjectCine Computed Tomography Angiography (cCTA)
dc.subjectAortic root motion
dc.subjectDeformation registration
dc.titlePatient-specific in-vivo dynamic motion of ascending thoracic aortic aneurysms from cine CTAeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleIEEE Transactions on Biomedical Engineering
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameValente
person.familyNameMourato
person.familyNameCarvalho
person.familyNameXavier
person.familyNameBrito
person.familyNameAvril
person.familyNameTomás
person.familyNameFragata
person.givenNameRodrigo Baptista
person.givenNameAndré
person.givenNameAlda
person.givenNameJosé
person.givenNameMoisés
person.givenNameStéphane
person.givenNameAntónio
person.givenNameJosé
person.identifierAAA-4372-2021
person.identifier.ciencia-idFD18-CBDD-B7C7
person.identifier.orcid0000-0003-0871-0683
person.identifier.orcid0000-0002-2996-1951
person.identifier.orcid0000-0003-2642-4947
person.identifier.orcid0000-0002-7836-4598
person.identifier.orcid0000-0002-7024-9958
person.identifier.orcid0000-0002-8604-7736
person.identifier.orcid0000-0002-9144-2669
person.identifier.orcid0000-0002-4493-8178
person.identifier.scopus-author-id25027091800
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Matemática e Estatística | Artigos em revistas internacionais / Papers in international journals