ArticleThe international journal of cardiovascular imaging2018
Distinguishing acute from chronic aortic dissections using CT imaging features.
Article in The international journal of cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Radiologic reporting of DeBakey type I aortic dissection: key preoperative and postoperative findings of the AMDS hybrid stent.Journal of thoracic disease · 2026Review
- A Fluid-Structure Interaction Computational Study of Residual Aortic Dissection to Investigate the Influence of Mechanical Behaviour of Wall and Flap on Flows.International journal for numerical methods in biomedical engineering · 2025Article
- Thoracic blunt trauma causing fatal cardiac rupture and aortic dissection: A narrative review.The Journal of international medical research · 2025Review
- Streamlining Acute Abdominal Aortic Dissection Management-An AI-based CT Imaging Workflow.Journal of imaging informatics in medicine · 2024Article
- Identification of high-risk patients for development of type B aortic dissection based on novel morphological parameters.Frontiers in physiology · 2023Article
- Early Diagnosis and Treatment of Nine Patients with Severe Multiple Injuries Accompanied by Traumatic Aortic Dissection during Emergency Treatment.Disease markers · 2022Article
- Chronic Type A Aortic Dissection Repair in a Double Lung Transplant Recipient.Aorta (Stamford, Conn.) · 2021Article
- Advanced Warning of Aortic Dissection on Non-Contrast CT: The Combination of Deep Learning and Morphological Characteristics.Frontiers in cardiovascular medicine · 2021Article
- Primary Antiphospholipid Antibody Syndrome Complicated with Cerebellar Hemorrhage and Aortic Dissection: A Case Report.The American journal of case reports · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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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