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Distinguishing acute from chronic aortic dissections using CT imaging features
- Source :
- The international journal of cardiovascular imaging. 34(11)
- Publication Year :
- 2018
-
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.
- Subjects :
- Adult
Male
medicine.medical_specialty
Computed Tomography Angiography
Computed tomography
030204 cardiovascular system & hematology
Aortography
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Predictive Value of Tests
medicine
Humans
Radiology, Nuclear Medicine and imaging
Thrombus
Vascular Calcification
Cardiac imaging
Aged
Retrospective Studies
Aortic dissection
medicine.diagnostic_test
business.industry
Soft tissue
Reproducibility of Results
Thrombosis
Middle Aged
medicine.disease
Prognosis
Aortic Aneurysm
Dissection
Aortic Dissection
Acute Disease
Chronic Disease
Female
Radiology
Ct imaging
Cardiology and Cardiovascular Medicine
business
Calcification
Subjects
Details
- ISSN :
- 18758312
- Volume :
- 34
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- The international journal of cardiovascular imaging
- Accession number :
- edsair.doi.dedup.....b9eba72ecf7739d0d0cd426d0f3d0d7f