Journal article
Quantitative assessment of the entire thoracic aorta from magnetic resonance images
Cardiology in the young, Vol.21(2), pp.170-177
04/2011
DOI: 10.1017/S1047951110001678
PMCID: PMC4355944
PMID: 21205418
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.
Details
- Title: Subtitle
- Quantitative assessment of the entire thoracic aorta from magnetic resonance images
- Creators
- Ryan K Johnson - Department of Pediatrics, University of Iowa Children’s Hospital, Iowa City, Iowa, United States of AmericaSenthil Premraj - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States of AmericaSonali S Patel - Department of Pediatrics, University of Iowa Children’s Hospital, Iowa City, Iowa, United States of AmericaAndreas Wahle - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States of AmericaAlan Stolpen - Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States of AmericaMilan Sonka - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United States of AmericaThomas D Scholz - Department of Pediatrics, University of Iowa Children’s Hospital, Iowa City, Iowa, United States of America
- Resource Type
- Journal article
- Publication Details
- Cardiology in the young, Vol.21(2), pp.170-177
- DOI
- 10.1017/S1047951110001678
- PMID
- 21205418
- PMCID
- PMC4355944
- NLM abbreviation
- Cardiol Young
- ISSN
- 1047-9511
- eISSN
- 1467-1107
- Language
- English
- Date published
- 04/2011
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Cardiology; Stead Family Department of Pediatrics; Radiation Oncology; Injury Prevention Research Center; Child and Community Health; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047799302771
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