Literature DB >> 24834415

Review of MRI-based measurements of pulse wave velocity: a biomarker of arterial stiffness.

Andrew L Wentland1, Thomas M Grist1, Oliver Wieben1.   

Abstract

Atherosclerosis is the leading cause of cardiovascular disease (CVD) in the Western world. In the early development of atherosclerosis, vessel walls remodel outwardly such that the vessel luminal diameter is minimally affected by early plaque development. Only in the late stages of the disease does the vessel lumen begin to narrow-leading to stenoses. As a result, angiographic techniques are not useful for diagnosing early atherosclerosis. Given the absence of stenoses in the early stages of atherosclerosis, CVD remains subclinical for decades. Thus, methods of diagnosing atherosclerosis early in the disease process are needed so that affected patients can receive the necessary interventions to prevent further disease progression. Pulse wave velocity (PWV) is a biomarker directly related to vessel stiffness that has the potential to provide information on early atherosclerotic disease burden. A number of clinical methods are available for evaluating global PWV, including applanation tonometry and ultrasound. However, these methods only provide a gross global measurement of PWV-from the carotid to femoral arteries-and may mitigate regional stiffness within the vasculature. Additionally, the distance measurements used in the PWV calculation with these methods can be highly inaccurate. Faster and more robust magnetic resonance imaging (MRI) sequences have facilitated increased interest in MRI-based PWV measurements. This review provides an overview of the state-of-the-art in MRI-based PWV measurements. In addition, both gold standard and clinical standard methods of computing PWV are discussed.

Entities:  

Keywords:  Pulse wave velocity (PWV); arterial stiffness; atherosclerosis; magnetic resonance imaging (MRI); velocity mapping

Year:  2014        PMID: 24834415      PMCID: PMC3996237          DOI: 10.3978/j.issn.2223-3652.2014.03.04

Source DB:  PubMed          Journal:  Cardiovasc Diagn Ther        ISSN: 2223-3652


  68 in total

Review 1.  Clinical applications of arterial stiffness, Task Force III: recommendations for user procedures.

Authors:  Luc M Van Bortel; Daniel Duprez; Mirian J Starmans-Kool; Michel E Safar; Christina Giannattasio; John Cockcroft; Daniel R Kaiser; Christian Thuillez
Journal:  Am J Hypertens       Date:  2002-05       Impact factor: 2.689

2.  Pulse-wave velocity measured in one heartbeat using MR tagging.

Authors:  Christopher K Macgowan; R Mark Henkelman; Michael L Wood
Journal:  Magn Reson Med       Date:  2002-07       Impact factor: 4.668

3.  A new method for the determination of aortic pulse wave velocity using cross-correlation on 2D PCMR velocity data.

Authors:  Samuel W Fielden; Brandon K Fornwalt; Michael Jerosch-Herold; Robert L Eisner; Arthur E Stillman; John N Oshinski
Journal:  J Magn Reson Imaging       Date:  2008-06       Impact factor: 4.813

4.  Reproducibility of pulse wave velocity measurements with phase contrast magnetic resonance and applanation tonometry.

Authors:  Jonathan D Suever; John Oshinski; Enrique Rojas-Campos; David Huneycutt; Francesca Cardarelli; Arthur E Stillman; Paolo Raggi
Journal:  Int J Cardiovasc Imaging       Date:  2011-07-31       Impact factor: 2.357

Review 5.  MRI studies of atherosclerotic vascular disease: structural evaluation and physiological measurements.

Authors:  R H Mohiaddin; D B Longmore
Journal:  Br Med Bull       Date:  1989-10       Impact factor: 4.291

6.  Age-related changes of human aortic flow wave velocity measured noninvasively by magnetic resonance imaging.

Authors:  R H Mohiaddin; D N Firmin; D B Longmore
Journal:  J Appl Physiol (1985)       Date:  1993-01

7.  Measuring aortic pulse wave velocity using high-field cardiovascular magnetic resonance: comparison of techniques.

Authors:  El-Sayed H Ibrahim; Kevin R Johnson; Alan B Miller; Jean M Shaffer; Richard D White
Journal:  J Cardiovasc Magn Reson       Date:  2010-05-11       Impact factor: 5.364

8.  ApoE-deficient mice develop lesions of all phases of atherosclerosis throughout the arterial tree.

Authors:  Y Nakashima; A S Plump; E W Raines; J L Breslow; R Ross
Journal:  Arterioscler Thromb       Date:  1994-01

9.  Validation and reproducibility of aortic pulse wave velocity as assessed with velocity-encoded MRI.

Authors:  Heynric B Grotenhuis; Jos J M Westenberg; Paul Steendijk; Rob J van der Geest; Jaap Ottenkamp; Jeroen J Bax; J Wouter Jukema; Albert de Roos
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

10.  Bramwell-Hill modeling for local aortic pulse wave velocity estimation: a validation study with velocity-encoded cardiovascular magnetic resonance and invasive pressure assessment.

Authors:  Jos J M Westenberg; Eveline P van Poelgeest; Paul Steendijk; Heynric B Grotenhuis; J W Jukema; Albert de Roos
Journal:  J Cardiovasc Magn Reson       Date:  2012-01-09       Impact factor: 5.364

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  57 in total

1.  Pulmonary Arterial Stiffness: Toward a New Paradigm in Pulmonary Arterial Hypertension Pathophysiology and Assessment.

Authors:  Michal Schäfer; Cynthia Myers; R Dale Brown; Maria G Frid; Wei Tan; Kendall Hunter; Kurt R Stenmark
Journal:  Curr Hypertens Rep       Date:  2016-01       Impact factor: 5.369

2.  Apparent Aortic Stiffness in Children With Pulmonary Arterial Hypertension: Existence of Vascular Interdependency?

Authors:  Michal Schäfer; D Dunbar Ivy; Steven H Abman; Alex J Barker; Lorna P Browne; Brian Fonseca; Vitaly Kheyfets; Kendall S Hunter; Uyen Truong
Journal:  Circ Cardiovasc Imaging       Date:  2017-02       Impact factor: 7.792

3.  In Vitro Validation of 4D Flow MRI for Local Pulse Wave Velocity Estimation.

Authors:  Timothy Ruesink; Rafael Medero; David Rutkowski; Alejandro Roldán-Alzate
Journal:  Cardiovasc Eng Technol       Date:  2018-09-14       Impact factor: 2.495

4.  Quantification of aortic stiffness in stroke patients using 4D flow MRI in comparison with transesophageal echocardiography.

Authors:  Thomas Wehrum; Felix Günther; Miriam Kams; Sarah Wendel; Christoph Strecker; Hanieh Mirzaee; Andreas Harloff
Journal:  Int J Cardiovasc Imaging       Date:  2018-05-24       Impact factor: 2.357

5.  Metformin Improves Insulin Sensitivity and Vascular Health in Youth With Type 1 Diabetes Mellitus.

Authors:  Petter Bjornstad; Michal Schäfer; Uyen Truong; Melanie Cree-Green; Laura Pyle; Amy Baumgartner; Yesenia Garcia Reyes; Aristides Maniatis; Sunil Nayak; R Paul Wadwa; Lorna P Browne; Jane E B Reusch; Kristen J Nadeau
Journal:  Circulation       Date:  2018-12-18       Impact factor: 29.690

6.  Carotid pulse wave velocity by magnetic resonance imaging is increased in middle-aged subjects with the metabolic syndrome.

Authors:  Gerard Blasco; Simone Balocco; Josep Puig; Javier Sánchez-González; Wifredo Ricart; Josep Daunis-i-Estadella; Xavier Molina; Salvador Pedraza; José Manuel Fernández-Real
Journal:  Int J Cardiovasc Imaging       Date:  2014-11-26       Impact factor: 2.357

7.  Proximal pulmonary vascular stiffness as a prognostic factor in children with pulmonary arterial hypertension.

Authors:  Richard M Friesen; Michal Schäfer; D Dunbar Ivy; Steven H Abman; Kurt Stenmark; Lorna P Browne; Alex J Barker; Kendall S Hunter; Uyen Truong
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-02-01       Impact factor: 6.875

Review 8.  Cardiovascular imaging in cardio-oncology.

Authors:  Amir Abbas Mahabadi; Christoph Rischpler
Journal:  J Thorac Dis       Date:  2018-12       Impact factor: 2.895

Review 9.  Determinants of Vascular Age: An Epidemiological Perspective.

Authors:  Anna M Kucharska-Newton; Lee Stoner; Michelle L Meyer
Journal:  Clin Chem       Date:  2018-11-20       Impact factor: 8.327

10.  Increased Vascular Permeability Measured With an Albumin-Binding Magnetic Resonance Contrast Agent Is a Surrogate Marker of Rupture-Prone Atherosclerotic Plaque.

Authors:  Alkystis Phinikaridou; Marcelo E Andia; Begoña Lavin; Alberto Smith; Prakash Saha; René M Botnar
Journal:  Circ Cardiovasc Imaging       Date:  2016-12       Impact factor: 7.792

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