| Title |
Aging Impact on Thoracic Aorta 3D Morphometry in Intermediate-Risk Subjects: Looking Beyond Coronary Arteries with Non-Contrast Cardiac CT
|
|---|---|
| Published in |
Annals of Biomedical Engineering, December 2011
|
| DOI | 10.1007/s10439-011-0487-y |
| Pubmed ID | |
| Authors |
Damian Craiem, Gilles Chironi, Alban Redheuil, Mariano Casciaro, Elie Mousseaux, Alain Simon, Ricardo L. Armentano |
| Abstract |
An increasing number of intermediate risk asymptomatic subjects benefit from measures of atherosclerosis burden like coronary artery calcification studies with non-contrast heart computed tomography (CT). However, additional information can be derived from these studies, looking beyond the coronary arteries and without exposing the patients to further radiation. We report a semi-automatic method that objectively assesses ascending, arch and descending aorta dimension and shape from non-contrast CT datasets to investigate the effect of aging on thoracic aorta geometry. First, the segmentation process identifies the vessel centerline coordinates following a toroidal path for the curvilinear portion and axial planes for descending aorta. Then, reconstructing oblique planes orthogonal to the centerline direction, it iteratively fits circles inside the vessel cross-section. Finally, regional thoracic aorta dimensions (diameter, volume and length) and shape (vessel curvature and tortuosity) are calculated. A population of 200 normotensive men was recruited. Length, mean diameter and volume differed by 1.2 cm, 0.13 cm and 21 cm(3) per decade of life, respectively. Aortic shape uncoiled with aging, reducing its tortuosity and increasing its radius of curvature. The arch was the most affected segment. In conclusion, non-contrast cardiac CT imaging can be successfully employed to assess thoracic aorta 3D morphometry. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Netherlands | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 66 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 14 | 20% |
| Student > Bachelor | 6 | 9% |
| Professor > Associate Professor | 6 | 9% |
| Student > Master | 6 | 9% |
| Other | 11 | 16% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 26 | 37% |
| Medicine and Dentistry | 15 | 21% |
| Computer Science | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Physics and Astronomy | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 12 | 17% |