Literature DB >> 22700326

Integration of the computational fluid dynamics technique with MRI in aortic dissections.

Christof Karmonik1, Sasan Partovi, Mark G Davies, Jean Bismuth, Dipan J Shah, Deniz Bilecen, Daniel Staub, George P Noon, Matthias Loebe, Georg Bongartz, Alan B Lumsden.   

Abstract

Short-term and long-term prognosis and their determining factors of Type III/Stanford B aortic dissections (TB-AD), which separate the aorta distal at the origin of the subclavian artery into a true lumen and false lumen, have been elusive: One quarter of patients thought to be treated successfully, either by medical or by surgical means, do not survive 3 years. Unfavorable hemodynamic conditions are believed to lead to false lumen pressure increases and complications. A better characterization of TB-AD hemodynamics may therefore impact therapeutic decision making and improve outcome. The large variations in TB-AD morphology and hemodynamics favor a patient-specific approach. Magnetic resonance imaging with its capability to provide high-resolution structural images of the lumen and aortic wall and also to quantify aortic flow and kinetics of an exogenous tracer is a promising clinical modality for developing a deeper understanding of TB-AD hemodynamics in an individual patient. With the information obtained with magnetic resonance imaging, computational fluid dynamics simulations can be performed to augment the image information. Here, an overview of the interplay of magnetic resonance imaging and computational fluid dynamics techniques is given illustrating the synergy of these two approaches toward a comprehensive morphological and hemodynamic characterization of TB-AD.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22700326     DOI: 10.1002/mrm.24376

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  9 in total

1.  4D-flow MRI of double aortic arch in a 14-year-old patient.

Authors:  Nadya Al-Wakeel; Sebastian Kelle; Mustafa Yigitbasi; Felix Berger; Titus Kuehne
Journal:  Cardiovasc Diagn Ther       Date:  2014-02

Review 2.  Multimodality imaging assessment of endoleaks post-endovascular aortic repair.

Authors:  Sasan Partovi; Thomas Trischman; Vasileios Rafailidis; Suvranu Ganguli; Fabian Rengier; Harold Goerne; Prabhakar Rajiah; Daniel Staub; Indravadan J Patel; George Oliveira; Brian Ghoshhajra
Journal:  Br J Radiol       Date:  2018-05-02       Impact factor: 3.039

3.  Hemodynamic analysis of renal artery stenosis using computational fluid dynamics technology based on unenhanced steady-state free precession magnetic resonance angiography: preliminary results.

Authors:  Weisheng Zhang; Yi Qian; Jiang Lin; Peng Lv; Kaavya Karunanithi; Mengsu Zeng
Journal:  Int J Cardiovasc Imaging       Date:  2013-12-07       Impact factor: 2.357

Review 4.  Review of recent results using computational fluid dynamics simulations in patients receiving mechanical assist devices for end-stage heart failure.

Authors:  Mina Berty Farag; Christof Karmonik; Fabian Rengier; Matthias Loebe; Matthias Karck; Hendrik von Tengg-Kobligk; Arjang Ruhparwar; Sasan Partovi
Journal:  Methodist Debakey Cardiovasc J       Date:  2014 Jul-Sep

5.  Image quality and radiation dose of ECG-triggered High-Pitch Dual-Source cardiac computed tomography angiography in children for the evaluation of central vascular stents.

Authors:  Christian A Barrera; Hansel J Otero; Ammie M White; David Saul; David M Biko
Journal:  Int J Cardiovasc Imaging       Date:  2019-01-25       Impact factor: 2.357

6.  Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study.

Authors:  Jaykrishna Singh; Gerd Brunner; Joel D Morrisett; Christie M Ballantyne; Alan B Lumsden; Dipan J Shah; Paolo Decuzzi
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2016-10-12

7.  Assessment of wall elasticity variations on intraluminal haemodynamics in descending aortic dissections using a lumped-parameter model.

Authors:  Paula A Rudenick; Bart H Bijnens; Patrick Segers; David García-Dorado; Arturo Evangelista
Journal:  PLoS One       Date:  2015-04-16       Impact factor: 3.240

Review 8.  MRI in Chronic Aortic Dissection: A Systematic Review and Future Directions.

Authors:  Andrew G Sherrah; Stuart M Grieve; Richmond W Jeremy; Paul G Bannon; Michael P Vallely; Rajesh Puranik
Journal:  Front Cardiovasc Med       Date:  2015-02-19

9.  Model-Based Therapy Planning Allows Prediction of Haemodynamic Outcome after Aortic Valve Replacement.

Authors:  M Kelm; L Goubergrits; J Bruening; P Yevtushenko; J F Fernandes; S H Sündermann; F Berger; V Falk; T Kuehne; S Nordmeyer
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

  9 in total

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