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      Comparison of different methods for the estimation of aortic pulse wave velocity from 4D flow cardiovascular magnetic resonance

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          Abstract

          Background

          Arterial pulse wave velocity (PWV) is associated with increased mortality in aging and disease. Several studies have shown the accuracy of applanation tonometry carotid-femoral PWV (Cf-PWV) and the relevance of evaluating central aorta stiffness using 2D cardiovascular magnetic resonance (CMR) to estimate PWV, and aortic distensibility-derived PWV through the theoretical Bramwell-Hill model (BH-PWV). Our aim was to compare various methods of aortic PWV (aoPWV) estimation from 4D flow CMR, in terms of associations with age, Cf-PWV, BH-PWV and left ventricular (LV) mass-to-volume ratio while evaluating inter-observer reproducibility and robustness to temporal resolution.

          Methods

          We studied 47 healthy subjects (49.5 ± 18 years) who underwent Cf-PWV and CMR including aortic 4D flow CMR as well as 2D cine SSFP for BH-PWV and LV mass-to-volume ratio estimation. The aorta was semi-automatically segmented from 4D flow data, and mean velocity waveforms were estimated in 25 planes perpendicular to the aortic centerline. 4D flow CMR aoPWV was calculated: using velocity curves at two locations, namely ascending aorta (AAo) and distal descending aorta (DAo) aorta (S1, 2D-like strategy), or using all velocity curves along the entire aortic centreline (3D-like strategies) with iterative transit time (TT) estimates (S2) or a plane fitting of velocity curves systolic upslope (S3). For S1 and S2, TT was calculated using three approaches: cross-correlation (TTc), wavelets (TTw) and Fourier transforms (TTf). Intra-class correlation coefficients (ICC) and Bland-Altman biases (BA) were used to evaluate inter-observer reproducibility and effect of lower temporal resolution.

          Results

          4D flow CMR aoPWV estimates were significantly ( p < 0.05) correlated to the CMR-independent Cf-PWV, BH-PWV, age and LV mass-to-volume ratio, with the strongest correlations for the 3D-like strategy using wavelets TT (S2-TTw) ( R = 0.62, 0.65, 0.77 and 0.52, respectively, all p < 0.001). S2-TTw was also highly reproducible (ICC = 0.99, BA = 0.09 m/s) and robust to lower temporal resolution (ICC = 0.97, BA = 0.15 m/s).

          Conclusions

          Reproducible 4D flow CMR aoPWV estimates can be obtained using full 3D aortic coverage. Such 4D flow CMR stiffness measures were significantly associated with Cf-PWV, BH-PWV, age and LV mass-to-volume ratio, with a slight superiority of the 3D strategy using wavelets transit time (S2-TTw).

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          Most cited references32

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          SPIRiT: Iterative self-consistent parallel imaging reconstruction from arbitrary k-space.

          A new approach to autocalibrating, coil-by-coil parallel imaging reconstruction, is presented. It is a generalized reconstruction framework based on self-consistency. The reconstruction problem is formulated as an optimization that yields the most consistent solution with the calibration and acquisition data. The approach is general and can accurately reconstruct images from arbitrary k-space sampling patterns. The formulation can flexibly incorporate additional image priors such as off-resonance correction and regularization terms that appear in compressed sensing. Several iterative strategies to solve the posed reconstruction problem in both image and k-space domain are presented. These are based on a projection over convex sets and conjugate gradient algorithms. Phantom and in vivo studies demonstrate efficient reconstructions from undersampled Cartesian and spiral trajectories. Reconstructions that include off-resonance correction and nonlinear l(1)-wavelet regularization are also demonstrated.
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            Age-related left ventricular remodeling and associated risk for cardiovascular outcomes: the Multi-Ethnic Study of Atherosclerosis.

            Age-related alterations of left ventricular (LV) structure and function that may predispose to cardiovascular events are not well understood. We used cardiac MRI to examine age-related differences in LV structure and function in 5004 participants without overt cardiovascular disease when enrolled in the Multi-Ethnic Study of Atherosclerosis; 1099 participants received additional strain analyses by MRI tagging. We also assessed the relation of age-associated remodeling with cardiovascular outcomes using Cox proportional hazard models adjusting for cardiovascular risk factors. Although LV mass decreased with age (-0.3 g per year), the mass-to-volume ratio markedly increased (+5 mg/mL per year, P or =65 years; hazard ratio, 1.68 [CI 0.77 to 3.68]) individuals with the highest compared to lowest mass-to-volume ratio quintile (P(interaction)=0.013). Age is associated with a phenotype of LV remodeling marked by increased mass-to-volume ratio and accompanied by systolic as well as diastolic myocardial dysfunction that is not reflected by preserved ejection fraction. This pattern of ventricular remodeling confers significant cardiovascular risk, particularly when present earlier in life.
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              Quantification of wave reflection in the human aorta from pressure alone: a proof of principle.

              Wave reflections affect the proximal aortic pressure and flow waves and play a role in systolic hypertension. A measure of wave reflection, receiving much attention, is the augmentation index (AI), the ratio of the secondary rise in pressure and pulse pressure. AI can be limiting, because it depends not only on the magnitude of wave reflection but also on wave shapes and timing of incident and reflected waves. More accurate measures are obtainable after separation of pressure in its forward (P(f)) and reflected (P(b)) components. However, this calculation requires measurement of aortic flow. We explore the possibility of replacing the unknown flow by a triangular wave, with duration equal to ejection time, and peak flow at the inflection point of pressure (F(tIP)) and, for a second analysis, at 30% of ejection time (F(t30)). Wave form analysis gave forward and backward pressure waves. Reflection magnitude (RM) and reflection index (RI) were defined as RM=P(b)/P(f) and RI=P(b)/(P(f)+P(b)), respectively. Healthy subjects, including interventions such as exercise and Valsalva maneuvers, and patients with ischemic heart disease and failure were analyzed. RMs and RIs using F(tIP) and F(t30) were compared with those using measured flow (F(m)). Pressure and flow were recorded with high fidelity pressure and velocity sensors. Relations are: RM(tIP)=0.82RM(mf)+0.06 (R(2)=0.79; n=24), RM(t30)=0.79RM(mf)+0.08 (R(2)=0.85; n=29) and RI(tIP)=0.89RI(mf)+0.02 (R(2)=0.81; n=24), RI(t30)=0.83RI(mf)+0.05 (R(2)=0.88; n=29). We suggest that wave reflection can be derived from uncalibrated aortic pressure alone, even when no clear inflection point is distinguishable and AI cannot be obtained. Epidemiological studies should establish its clinical value.
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                Author and article information

                Contributors
                sophia.houriezgombaudsaintonge@gmail.com
                elie.mousseaux@aphp.fr
                ioannisbargiotas@gmail.com
                alain.decesare@lib.upmc.fr
                thomas.dietenbeck@sorbonne-universite.fr
                kevin.bouaou@gmail.com
                alban.redheuil@aphp.fr
                gilles.soulat@aphp.fr
                alain.giron@lib.upmc.fr
                umit.gencer-ext@aphp.fr
                damian@craiem.com.ar
                emmanuel.messas@aphp.fr
                emilie.bollache@inserm.fr
                yasmina.chenoune@esme.fr
                nadjia.kachenoura@inserm.fr
                Journal
                J Cardiovasc Magn Reson
                J Cardiovasc Magn Reson
                Journal of Cardiovascular Magnetic Resonance
                BioMed Central (London )
                1097-6647
                1532-429X
                12 December 2019
                12 December 2019
                2019
                : 21
                : 75
                Affiliations
                [1 ]ISNI 0000 0001 2112 9282, GRID grid.4444.0, Sorbonne Université, INSERM, CNRS, Laboratoire d’Imagerie Biomédicale (LIB), ; 75006 Paris, France
                [2 ]GRID grid.462239.8, ESME Sudria Research Lab, ; Paris, France
                [3 ]GRID grid.477396.8, Institute of Cardiometabolism and Nutrition (ICAN), ; Paris, France
                [4 ]GRID grid.414093.b, Hopital Européen Georges Pompidou, ; Paris, France
                [5 ]ISNI 0000 0004 1758 8373, GRID grid.462850.d, CMLA, ENS Cachan, CNRS, Université Paris-Saclay, ; 94235 Cachan, France
                [6 ]ISNI 0000 0004 0608 3193, GRID grid.411168.b, Universidad Favaloro-CONICET, IMeTTyB, ; Buenos Aires, Argentina
                Article
                584
                10.1186/s12968-019-0584-x
                6907267
                31829235
                0f08769d-6061-4a3d-8efb-4c3139360238
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 12 November 2018
                : 22 October 2019
                Funding
                Funded by: ECOS-SUD
                Award ID: A15S04
                Award Recipient :
                Funded by: Fondation Recherche Medicale
                Award ID: ING20150532487
                Award Recipient :
                Funded by: ESME-SUDRIA
                Award ID: NA
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Cardiovascular Medicine
                pulse wave velocity,4d flow cmr,aortic stiffness,aging
                Cardiovascular Medicine
                pulse wave velocity, 4d flow cmr, aortic stiffness, aging

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