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      Non-invasive determination of transcatheter pressure gradient in stenotic aortic valves: an analytical model.

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          Abstract

          Aortic stenosis (AS), in which the opening of the aortic valve is narrowed, is the most common valvular heart disease. Cardiac catheterization is considered the reference standard for definitive evaluation of AS severity, based on instantaneous systolic value of transvalvular pressure gradient (TPG). However, using invasive cardiac catheterization might carry high risks knowing that undergoing multiple cardiac catheterizations for follow-up in patients with AS is common. The objective of this study was to suggest an analytical description of the AS that estimates TPG without a need for high risk invasive data collection. For this purpose, Navier-Stokes equation coupled with the elastic-deformation equation was solved analytically. The estimated TPG resulted from the suggested analytical description was validated against published in vivo and in vitro measurement data. Very good concordances were found between TPG obtained from the analytical formulation and in vivo (maximum root mean square error: 3.8 mmHg) and in vitro (maximum root mean square error: 9.4 mmHg). The analytical description can be integrated to non-invasive imaging modalities to estimate AS severity as an alternative to cardiac catheterization to help preventing its risks in patients with AS.

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          Author and article information

          Journal
          Med Eng Phys
          Medical engineering & physics
          Elsevier BV
          1873-4030
          1350-4533
          Mar 2015
          : 37
          : 3
          Affiliations
          [1 ] Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA ; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA . Electronic address: zahra_km@MIT.EDU.
          [2 ] Mechanical Engineering Department, University of Guilan, Rasht, Iran.
          [3 ] Harvard Medical School, Boston, MA, USA; Biomedical Engineering Department, McGill University, Montréal, Québec, Canada. Electronic address: nima_maftoon@meei.harvard.edu.
          Article
          S1350-4533(15)00012-0
          10.1016/j.medengphy.2015.01.003
          25682932
          e84ff0d7-6326-409c-be6d-e7dbf8500a39
          History

          Analytical model,Aortic stenosis,Fluid dynamics,In vitro,Pressure gradient

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