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Published on: July 16, 2018
Aging impact on thoracic aorta 3D morphometry in intermediate-risk subjects: looking beyond coronary arteries with
Damian Craiem1, Gilles Chironi, Alban Redheuil
1Favaloro University, Av. Belgrano 1723, CP 1093 Buenos Aires, Argentina. dcraiem@favaloro.edu.ar
Insights
Non-contrast cardiac CT can assess thoracic aorta geometry in aging men. This method quanties changes in aortic dimensions and shape, revealing age-related aortic remodeling.
Area of Science:
- Medical Imaging
- Cardiovascular Imaging
- Radiology
Background:
- Non-contrast cardiac computed tomography (CT) is increasingly used for atherosclerosis burden assessment in asymptomatic individuals.
- Existing CT protocols offer opportunities to evaluate thoracic aorta geometry without additional radiation exposure.
Purpose of the Study:
- To develop and validate a semi-automatic method for objectively assessing thoracic aorta dimensions and shape from non-contrast CT.
- To investigate the effects of aging on thoracic aorta geometry using this novel method.
Main Methods:
- A semi-automatic segmentation technique was developed to identify vessel centerline coordinates and reconstruct oblique planes.
- Iterative circle fitting was employed to determine cross-sectional dimensions.
- Thoracic aorta dimensions (diameter, volume, length) and shape parameters (curvature, tortuosity) were calculated.
Main Results:
- Age-related increases in thoracic aorta length, mean diameter, and volume were observed in 200 normotensive men.
- Aortic shape changed with aging, characterized by reduced tortuosity and increased radius of curvature, particularly in the aortic arch.
- Significant differences in dimensions and shape were found per decade of life.
Conclusions:
- Non-contrast cardiac CT is a viable tool for comprehensive 3D morphometric assessment of the thoracic aorta.
- The developed method provides objective quantitative data on age-related thoracic aorta remodeling.
- This approach enhances the utility of cardiac CT beyond coronary artery evaluation.
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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