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Mapping pre-dissection aortic wall abnormalities: a multiparametric assessment

Authors :
Himanshu J. Patel
C. Alberto Figueroa
Frans L. Moll
Joost A. van Herwaarden
Nicholas S. Burris
Nitesh Nama
David Nordsletten
Ignas B Houben
David M. Williams
Source :
Eur J Cardiothorac Surg
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

OBJECTIVES Maximal aortic diameter is commonly used to assess aortic risk but poorly predicts the timing and location of dissection events in patients with connective tissue disease who undergo regular imaging surveillance. Hence, we aimed to use available surveillance computed tomography angiography (CTA) scans to investigate the correlation between 3-dimensional (3D) growth and cyclic transmural wall stress with the location of intimal tear formation. METHODS Three type B aortic dissection patients with 2 available electrocardiogram (ECG)-gated pre-dissection CTA scans and without surgical repair during the pre-dissection interval were retrospectively identified at our institution. Vascular deformation mapping was used to measure 3D aortic growth between 2 pre-dissection clinical CTA studies. In addition, we performed a computational analysis to estimate cyclic transmural wall stress in patient-specific baseline CTA geometries. RESULTS In all 3 connective tissue disease patients, the site of type B aortic intimal tear co-localized with areas of peak 3D aortic wall growth. Aortic growth was detected by clinical radiological assessment in only 1 case. Co-localization of peak transmural stress and the site of intimal tear formation were found in all cases. CONCLUSIONS Focal areas of growth and transmural wall stress co-localized with the site of intimal tear formation. These hypothesis-generating results suggest a possible new analytic pathway for a more sophisticated assessment of the factors leading to the initiation of dissection in patients with connective tissue disease. These methods could improve on current risk-stratification techniques.

Details

ISSN :
1873734X and 10107940
Volume :
57
Database :
OpenAIRE
Journal :
European Journal of Cardio-Thoracic Surgery
Accession number :
edsair.doi.dedup.....2534257da4950efa9f619c3b50e58d84
Full Text :
https://doi.org/10.1093/ejcts/ezz381