Literature DB >> 35782762

The Dean Effect: An Aortic Arch Flow Artifact Mimicking Dissection.

Alan Ropp1, Aletta A Frazier1, Bradley Gelfand1, Jean Jeudy1.   

Abstract

The unique hemodynamics of the aortic arch create conditions for potential formation of a flow-related artifact that mimics disease on CT angiographic images. The hemodynamic basis for this artifact can be explained by fluid mechanics incorporating a mathematical principle known as the Dean number. Therefore, in this review, the artifact is referred to as the Dean effect. It is important for radiologists and other clinicians to recognize this artifact when encountered. It is also helpful for the interpreting radiologist to have a basic understanding of the relevant hemodynamic principles. This review provides an example of the artifact, reviews the basic underlying hemodynamics, and presents methods of how to prevent this artifact and distinguish it from pathologic mimics in clinical practice. Keywords: CT Angiography, Vascular, Thorax, Aorta, Artifacts, Blood, Dissection, Hemodynamics/Flow Dynamics © RSNA, 2022. 2022 by the Radiological Society of North America, Inc.

Entities:  

Keywords:  Aorta; Artifacts; Blood; CT Angiography; Dissection; Hemodynamics/Flow Dynamics; Thorax; Vascular

Year:  2022        PMID: 35782762      PMCID: PMC8893211          DOI: 10.1148/ryct.210229

Source DB:  PubMed          Journal:  Radiol Cardiothorac Imaging        ISSN: 2638-6135


  12 in total

1.  Effects of wall motion and compliance on flow patterns in the ascending aorta.

Authors:  Suo Jin; John Oshinski; Don P Giddens
Journal:  J Biomech Eng       Date:  2003-06       Impact factor: 2.097

2.  3-D numerical simulation of blood flow through models of the human aorta.

Authors:  L Morris; P Delassus; A Callanan; M Walsh; F Wallis; P Grace; T McGloughlin
Journal:  J Biomech Eng       Date:  2005-10       Impact factor: 2.097

3.  Multivortex micromixing.

Authors:  Arjun P Sudarsan; Victor M Ugaz
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-27       Impact factor: 11.205

4.  Computational analysis of flow in a curved tube model of the coronary arteries: effects of time-varying curvature.

Authors:  A Santamarina; E Weydahl; J M Siegel; J E Moore
Journal:  Ann Biomed Eng       Date:  1998 Nov-Dec       Impact factor: 3.934

Review 5.  Smoke: How to Differentiate Flow-related Artifacts From Pathology on Thoracic Computed Tomographic Angiography.

Authors:  Travis S Henry; Mark M Hammer; Brent P Little; Leif E Jensen; Seth J Kligerman; Jeffrey P Kanne; Howard Mann
Journal:  J Thorac Imaging       Date:  2019-09       Impact factor: 3.000

6.  Extracorporeal membranous oxygenation mimics aortic dissection on CAT scan.

Authors:  Philip M Batista; Nicholas C Cavarocchi; Hitoshi Hirose
Journal:  Ann Thorac Surg       Date:  2012-12-25       Impact factor: 4.330

7.  Three-dimensional phase contrast angiography of the mouse aortic arch using spiral MRI.

Authors:  Robert L Janiczek; Brett R Blackman; R Jack Roy; Craig H Meyer; Scott T Acton; Frederick H Epstein
Journal:  Magn Reson Med       Date:  2011-06-07       Impact factor: 4.668

8.  Contrast inhomogeneity in CT angiography of the abdominal aortic aneurysm.

Authors:  Elizabeth George; Andreas A Giannopoulos; Ayaz Aghayev; Saurabh Rohatgi; Amir Imanzadeh; Antonios P Antoniadis; Kanako K Kumamaru; Yiannis S Chatzizisis; Ruth Dunne; Michael Steigner; Michael Hanley; Edwin C Gravereaux; Frank J Rybicki; Dimitrios Mitsouras
Journal:  J Cardiovasc Comput Tomogr       Date:  2015-12-02

Review 9.  [Role of computational fluid dynamics in thoracic aortic diseases research: technical superiority and application prospect].

Authors:  Weihao Li; Chenyang Shen; Xiaoming Zhang; Tao Zhang
Journal:  Zhonghua Wai Ke Za Zhi       Date:  2015-08-01

10.  Large curvature effect on pulsatile entrance flow in a curved tube: model experiment simulating blood flow in an aortic arch.

Authors:  T Naruse; K Tanishita
Journal:  J Biomech Eng       Date:  1996-05       Impact factor: 2.097

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