Literature DB >> 21889017

Congenital thoracic vascular anomalies: evaluation with state-of-the-art MR imaging and MDCT.

Jeffrey C Hellinger1, Melissa Daubert, Edward Y Lee, Monica Epelman.   

Abstract

Congenital thoracic vascular anomalies include embryologic developmental disorders of the thoracic aorta, aortic arch branch arteries, pulmonary arteries, thoracic systemic veins, and pulmonary veins. Diagnostic evaluation of these anomalies in pediatric patients has evolved with innovations in diagnostic imaging technology. State-of-the-art magnetic resonance (MR) imaging, MR angiography multidetector-row computed tomographic (MDCT) angiography, and advanced postprocessing visualization techniques offer accurate and reliable high-resolution two-dimensional and three-dimensional noninvasive anatomic displays for interpretation and clinical management of congenital thoracic vascular anomalies. This article reviews vascular MR imaging, MR angiography, MDCT angiography, and advanced visualization techniques and applications for the assessment of congenital thoracic vascular anomalies, emphasizing clinical embryology and the characteristic imaging findings.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21889017     DOI: 10.1016/j.rcl.2011.06.013

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  3 in total

1.  Advanced large airway CT imaging in children: evolution from axial to 4-D assessment.

Authors:  Edward Y Lee; Evan J Zucker; Ricardo Restrepo; Pedro Daltro; Phillip M Boiselle
Journal:  Pediatr Radiol       Date:  2013-02-16

2.  Multidetector Computed Tomography (CT) in Evaluation of Congenital Cyanotic Heart Diseases.

Authors:  Moanes M Enaba; Doaa I Hasan; Ahmed M Alsowey; Hany Elsayed
Journal:  Pol J Radiol       Date:  2017-11-17

3.  Quantified evaluation of tracheal compression in pediatric complex congenital vascular ring by computed tomography.

Authors:  Rong Xu; Ke Shi; Zhi-Gang Yang; Kai-Yue Diao; Qin Zhao; Hua-Yan Xu; Ying-Kun Guo
Journal:  Sci Rep       Date:  2018-07-25       Impact factor: 4.379

  3 in total

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