Imperial College London
Alternate

Professor Xiao Yun Xu

Faculty of Engineering, Department of Chemical Engineering

Professor, Biofluid Mechanics & Director of Graduate School
 
 
 
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Contact

 

yun.xu Website

 
 
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Location

 

407ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Saitta:2019:10.1016/j.jbiomech.2019.07.004,
author = {Saitta, S and Pirola, S and Piatti, F and Votta, E and Lucherini, F and Pluchinotta, F and Carminati, M and Lombardi, M and Geppert, C and Cuomo, F and Figueroa, C and Xu, X and Redaelli, A},
doi = {10.1016/j.jbiomech.2019.07.004},
journal = {Journal of Biomechanics},
pages = {13--21},
title = {Evaluation of 4D Flow MRI-based non-invasive pressure assessment in aortic coarctations},
url = {http://dx.doi.org/10.1016/j.jbiomech.2019.07.004},
volume = {94},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Severity of aortic coarctation (CoA) is currently assessed by estimating trans-coarctation pressure drops through cardiac catheterization or echocardiography. In principle, more detailed information could be obtained non-invasively based on space- and time-resolved magnetic resonance imaging (4D flow) data. Yet the limitations of this imaging technique require testing the accuracy of 4D flow-derived hemodynamic quantities against other methodologies.With the objective of assessing the feasibility and accuracy of this non-invasive method to support the clinical diagnosis of CoA, we developed an algorithm (4DF-FEPPE) to obtain relative pressure distributions from 4D flow data by solving the Poisson pressure equation. 4DF-FEPPE was tested against results from a patient-specific fluid-structure interaction (FSI) simulation, whose patient-specific boundary conditions were prescribed based on 4D flow data. Since numerical simulations provide noise-free pressure fields on fine spatial and temporal scales, our analysis allowed to assess the uncertainties related to 4D flow noise and limited resolution.4DF-FEPPE and FSI results were compared on a series of cross-sections along the aorta. Bland-Altman analysis revealed very good agreement between the two methodologies in terms of instantaneous data at peak systole, end-diastole and time-averaged values: biases (means of differences) were +0.4mmHg, −1.1mmHg and +0.6mmHg, respectively. Limits of agreement (2 SD) were ±0.978mmHg, ±1.06mmHg and ±1.97mmHg, respectively. Peak-to-peak and maximum trans-coarctation pressure drops obtained with 4DF-FEPPE differed from FSI results by 0.75mmHg and −1.34mmHg respectively. The present study considers important validation aspects of non-invasive pressure difference estimation based on 4D flow MRI, showing the potential of this technology to be more broadly applied to the clinical practice.
AU  - Saitta,S
AU  - Pirola,S
AU  - Piatti,F
AU  - Votta,E
AU  - Lucherini,F
AU  - Pluchinotta,F
AU  - Carminati,M
AU  - Lombardi,M
AU  - Geppert,C
AU  - Cuomo,F
AU  - Figueroa,C
AU  - Xu,X
AU  - Redaelli,A
DO  - 10.1016/j.jbiomech.2019.07.004
EP  - 21
PY  - 2019///
SN  - 0021-9290
SP  - 13
TI  - Evaluation of 4D Flow MRI-based non-invasive pressure assessment in aortic coarctations
T2  - Journal of Biomechanics
UR  - http://dx.doi.org/10.1016/j.jbiomech.2019.07.004
UR  - https://www.sciencedirect.com/science/article/pii/S0021929019304440?via%3Dihub
UR  - http://hdl.handle.net/10044/1/71875
VL  - 94
ER  -
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