Abstract
Objectives: Although magnetic resonance imaging is a primary modality for following patients with connective tissue diseases, only a limited amount of the image data is utilised. The purpose of this study was to show the clinical applicability of an automated four-dimensional analysis method of magnetic resonance images of the aorta and develop normative data for the cross-sectional area of the entire thoracic aorta. Study design: Magnetic resonance imaging was obtained serially over 3 years from 32 healthy individuals and 24 patients with aortopathy and a personal or family history of connective tissue disorder. Graph theory-based segmentation was used to determine the cross-sectional area for the thoracic aorta. Healthy individual data were used to construct a nomogram representing the maximum cross-sectional area 5th-95th percentile along the entire thoracic aorta. Aortic root diameters calculated from the cross-sectional area were compared to measured diameters from echocardiographic data. The cross-sectional area of the entire thoracic aorta in patients was compared to healthy individuals. Results: Calculated aortic root diameters correlated with measured diameters from echo data - correlation coefficient was 0.74-0.87. The cross-sectional area in patients was significantly greater in the aortic root, ascending aorta, and descending aorta compared to healthy individuals. Conclusion: The presentation of the dimensional data for the entire thoracic aorta shows an important clinical tool for following patients with connective tissue disorders and aortopathy.
Original language | English (US) |
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Pages (from-to) | 170-177 |
Number of pages | 8 |
Journal | Cardiology in the Young |
Volume | 21 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2011 |
Externally published | Yes |
Keywords
- Aortopathy
- connective tissue disease
- cross-sectional area
- Marfan syndrome
- thoracic aortic aneurysm
ASJC Scopus subject areas
- Pediatrics, Perinatology, and Child Health
- Cardiology and Cardiovascular Medicine