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The International Journal of Cardiovascular Imaging

Erschienen in:

18.06.2018 | Original Paper

Distinguishing acute from chronic aortic dissections using CT imaging features

verfasst von: Norman A. Orabi, Leslie E. Quint, Kuanwong Watcharotone, Bin Nan, David M. Williams, Karen M. Kim

Erschienen in: The International Journal of Cardiovascular Imaging | Ausgabe 11/2018

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Abstract

The aim was to compare computed tomography (CT) features in acute and chronic aortic dissections (AADs and CADs) and determine if a certain combination of imaging features was reliably predictive of the acute versus chronic nature of disease in individual patients. Consecutive patients with aortic dissection and a chest CT scan were identified, and 120 CT scans corresponding to 105 patients were reviewed for a variety of imaging features. Statistical tests assessed for differences in the frequency of these features. A predictive model was created and tested on an additional 120 CT scans from 115 patients. Statistically significant features of AAD included periaortic confluent soft tissue opacity, curved dissection flap, and highly mobile dissection flap, and features of CAD included thick dissection flap, false lumen (FL) outer wall calcification, FL thrombus, dilated FL, and tear edges curling into the FL. The model predicted the chronicity of a dissection with an area under the curve of 0.98 (CI 0.98–1.00). AADs and CADs demonstrated significantly different CT imaging features.

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Titel: Distinguishing acute from chronic aortic dissections using CT imaging features
verfasst von: Norman A. Orabi
Leslie E. Quint
Kuanwong Watcharotone
Bin Nan
David M. Williams
Karen M. Kim
Publikationsdatum: 18.06.2018
Verlag: Springer Netherlands
Erschienen in: The International Journal of Cardiovascular Imaging / Ausgabe 11/2018
Print ISSN: 1569-5794
Elektronische ISSN: 1875-8312
DOI: https://doi.org/10.1007/s10554-018-1398-x

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