Literature DB >> 15122679

Estimation of the differential pressure at renal artery stenoses.

Peter J Yim1, Juan R Cebral, Ashley Weaver, Robert J Lutz, Orlando Soto, G Boudewijn C Vasbinder, Vincent B Ho, Peter L Choyke.   

Abstract

Atherosclerotic disease of the renal artery can lead to reduction in arterial caliber and ultimately to conditions including renovascular hypertension. Renal artery stenosis is conventionally assessed, using angiography, according to the severity of the stenosis. However, the severity of a stenosis is not a reliable indicator of functional significance, or associated differential pressure, of a stenosis. A methodology is proposed for estimation of the renal artery differential pressure (RADP) from MR imaging. Realistic computational fluid dynamics (CFD) models are constructed from MR angiography (MRA) and phase-contrast (PC) MR. The CFD model is constructed in a semiautomated manner from the MR images using the Isosurface Deformable Model (IDM) for surface reconstruction and a Marching Front algorithm for construction of the volumetric CFD mesh. Validation of RADP estimation was performed in a realistic physical flow-through model. Under steady flow, the CFD estimate of the differential pressure across a stenosis in the physical flow-through model differed by an average of 5.5 mmHg from transducer measurements of the pressure differential, for differential pressures less than 60 mmHg. These results demonstrate that accurate estimates of differential pressure at stenoses may be possible based only on structural and flow images. Published 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15122679     DOI: 10.1002/mrm.20078

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


  6 in total

1.  Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics.

Authors:  M A Castro; C M Putman; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

2.  Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models.

Authors:  Juan R Cebral; Marcelo A Castro; James E Burgess; Richard S Pergolizzi; Michael J Sheridan; Christopher M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2005 Nov-Dec       Impact factor: 3.825

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.  Clinical insights into the diagnosis and management of atherosclerotic renal artery disease.

Authors:  Michael J Bloch; Jan Basile
Journal:  Curr Atheroscler Rep       Date:  2006-09       Impact factor: 5.113

Review 5.  Contemporary imaging techniques for the diagnosis of renal artery stenosis.

Authors:  T Leiner; M W de Haan; P J Nelemans; J M A van Engelshoven; G B C Vasbinder
Journal:  Eur Radiol       Date:  2005-06-28       Impact factor: 5.315

6.  An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom.

Authors:  Chengyue Wu; David A Hormuth; Ty Easley; Victor Eijkhout; Federico Pineda; Gregory S Karczmar; Thomas E Yankeelov
Journal:  Med Image Anal       Date:  2021-07-20       Impact factor: 13.828

  6 in total

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