Mostrar el registro sencillo del ítem
dc.contributor.author
Casciaro, Mariano Ezequiel
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Craiem, Damian
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Chironi, Gilles
dc.contributor.author
Graf Caride, Diego Sebastián
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Macron, Laurent
dc.contributor.author
Mousseaux, Elie
dc.contributor.author
Simon, Alain
dc.contributor.author
Armentano, Ricardo Luis
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.date.available
2017-11-17T17:45:42Z
dc.date.issued
2014-07
dc.identifier.citation
Casciaro, Mariano Ezequiel; Craiem, Damian; Chironi, Gilles; Graf Caride, Diego Sebastián; Macron, Laurent; et al.; Identifying the Principal Modes of Variation in Human Thoracic Aorta Morphology; Lippincott Williams; Journal of Thoracic Imaging; 29; 4; 7-2014; 224-232
dc.identifier.issn
0883-5993
dc.identifier.uri
http://hdl.handle.net/11336/28448
dc.description.abstract
Purpose: Diagnosis and management of thoracic aorta (TA) disease demand the assessment of accurate quantitative information of the aortic anatomy. We investigated the principal modes of variation in aortic 3-dimensional geometry paying particular attention to the curvilinear portion.
Materials and Methods: Images were obtained from extended noncontrast multislice computed tomography scans, originally intended for coronary calcium assessment. The ascending, arch, and descending aortas of 500 asymptomatic patients (57±9 y, 81% male) were segmented using a semiautomated algorithm that sequentially inscribed circles inside the vessel cross-section. Axial planes were used for the descending aorta, whereas oblique reconstructions through a toroid path were required for the arch. Vessel centerline coordinates and the corresponding diameter values were obtained. Twelve size and shape geometric parameters were calculated to perform a principal component analysis.
Results: Statistics revealed that the geometric variability of the TA was successfully explained using 3 factors that account for ∼80% of total variability. Averaged aortas were reconstructed varying each factor in 5 intervals. Analyzing the parameter loadings for each principal component, the dominant contributors were interpreted as vessel size (46%), arch unfolding (22%), and arch symmetry (12%). Variables such as age, body size, and risk factors did not substantially modify the correlation coefficients, although some particular differences were observed with sex.
Conclusions: We conclude that vessel size, arch unfolding, and symmetry form the basis for characterizing the variability of TA morphology. The numerical data provided in this study as supplementary material can be exploited to accurately reconstruct the curvilinear shape of normal TAs.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Lippincott Williams
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Principal Components
dc.subject
Thoracic Aorta
dc.subject
Computed Tomography
dc.title
Identifying the Principal Modes of Variation in Human Thoracic Aorta Morphology
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-11-15T13:49:51Z
dc.journal.volume
29
dc.journal.number
4
dc.journal.pagination
224-232
dc.journal.pais
Estados Unidos
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.journal.ciudad
Filadelfia
dc.description.fil
Fil: Casciaro, Mariano Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina
dc.description.fil
Fil: Craiem, Damian. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Chironi, Gilles. Universite de Paris V; Francia
dc.description.fil
Fil: Graf Caride, Diego Sebastián. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Macron, Laurent. Universite de Paris V; Francia
dc.description.fil
Fil: Mousseaux, Elie. Universite de Paris V; Francia
dc.description.fil
Fil: Simon, Alain. Universite de Paris V; Francia
dc.description.fil
Fil: Armentano, Ricardo Luis. Universidad Favaloro. Facultad de Ingeniería y Ciencias Exactas y Naturales; Argentina
dc.journal.title
Journal of Thoracic Imaging
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://insights.ovid.com/pubmed?pmid=24296697
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1097/RTI.0000000000000060
Archivos asociados