A morphological indicator for aortic dissection: fitting circle of the thoracic aorta.
Humans
Aortic Dissection
/ diagnostic imaging
Aorta, Thoracic
/ diagnostic imaging
Aortic Aneurysm, Thoracic
/ diagnostic imaging
Male
Female
Middle Aged
Computed Tomography Angiography
Aortography
Predictive Value of Tests
Aged
Radiographic Image Interpretation, Computer-Assisted
Case-Control Studies
Adult
Retrospective Studies
Multidetector Computed Tomography
Algorithm
Aortic dissection
Computed tomographic angiography
Diagnostic imaging
Geometrical analysis
Journal
BMC cardiovascular disorders
ISSN: 1471-2261
Titre abrégé: BMC Cardiovasc Disord
Pays: England
ID NLM: 100968539
Informations de publication
Date de publication:
28 Aug 2024
28 Aug 2024
Historique:
received:
21
03
2023
accepted:
19
08
2024
medline:
31
8
2024
pubmed:
31
8
2024
entrez:
28
8
2024
Statut:
epublish
Résumé
This study aims to identify a morphological indicator of aortic dissection (AD) based on the geometrical characteristics of the thoracic aorta. We evaluated computed tomographic angiograms of 63 samples with AD (22 with type A AD, 41 with type B AD) and 71 healthy samples. Via centerline extraction and spatial transformation, the spatial entanglement of the aorta was minimized, and the expanded 2D aortic morphology was obtained. The 2D morphology of the thoracic aorta was fit to a circle. The applicability of the fitting circle method for identifying aortic dissection was verified by multivariable logistic regression analysis. Via the 3D coordinate transformation algorithm, the optimal aortic view was obtained. On this view, the geometrical characteristics of the thoracic aortas of the healthy controls were similar to a portion of a circle (sum of residuals: 3502.45 ± 2566.71, variance: 86.23 ± 56.60), while that of AD samples had poorer similarity to the circle (sum of residuals: 5404.78 ± 3891.69, variance: 129.90 ± 90.09). This difference was significant (p < 0.001). A logistic regression model showed that increased deformation of the thoracic aorta was a significant indicator of aortic dissection (odds ratio: 1.35, p = 0.034). The morphology of the healthy thoracic aorta could be fit to a circle, while that of the dissected aorta had poorer similarity to the circle. The statistics of the circle are an effective indicator of aortic deformation in AD. This study is registered in the Chinese Clinical Trial Registry (ChiCTR2000029219).
Sections du résumé
BACKGROUND
BACKGROUND
This study aims to identify a morphological indicator of aortic dissection (AD) based on the geometrical characteristics of the thoracic aorta.
METHODS
METHODS
We evaluated computed tomographic angiograms of 63 samples with AD (22 with type A AD, 41 with type B AD) and 71 healthy samples. Via centerline extraction and spatial transformation, the spatial entanglement of the aorta was minimized, and the expanded 2D aortic morphology was obtained. The 2D morphology of the thoracic aorta was fit to a circle. The applicability of the fitting circle method for identifying aortic dissection was verified by multivariable logistic regression analysis.
RESULTS
RESULTS
Via the 3D coordinate transformation algorithm, the optimal aortic view was obtained. On this view, the geometrical characteristics of the thoracic aortas of the healthy controls were similar to a portion of a circle (sum of residuals: 3502.45 ± 2566.71, variance: 86.23 ± 56.60), while that of AD samples had poorer similarity to the circle (sum of residuals: 5404.78 ± 3891.69, variance: 129.90 ± 90.09). This difference was significant (p < 0.001). A logistic regression model showed that increased deformation of the thoracic aorta was a significant indicator of aortic dissection (odds ratio: 1.35, p = 0.034).
CONCLUSIONS
CONCLUSIONS
The morphology of the healthy thoracic aorta could be fit to a circle, while that of the dissected aorta had poorer similarity to the circle. The statistics of the circle are an effective indicator of aortic deformation in AD.
TRIAL REGISTRATION
BACKGROUND
This study is registered in the Chinese Clinical Trial Registry (ChiCTR2000029219).
Identifiants
pubmed: 39198782
doi: 10.1186/s12872-024-04130-4
pii: 10.1186/s12872-024-04130-4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
461Subventions
Organisme : Natural Science Foundation of Anhui Provincial Education Department
ID : KJ2021A0251
Organisme : Shanghai Jiao Tong University School of Medicine Doctoral Innovation Fund
ID : BXJ201935
Organisme : Translational Medicine Science and Technology Infrastructure Opening Project
ID : TMSK-2021-121
Organisme : Clinical Research Plan of SHDC
ID : SHDC2020CR6016-003
Organisme : Shanghai Ninth People's Hospital Nursing Fund Project
ID : JYHL2020MS01
Informations de copyright
© 2024. The Author(s).
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