Measurement of aortic arch pulse wave velocity in cardiovascular MR: Comparison of transit time estimators and description of a new approach

Dogui, Anas; Redheuil, Alban; Lefort, Muriel; Decesare, A.; Kachenoura, Nadjia; Herment, A.; Mousseaux, Élie

doi:10.1002/jmri.22570

Cited by 65 publications

(94 citation statements)

References 34 publications

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“…With our curve-fitting technique we found that half maximum velocity was more accurate than the foot of the slope owing to errors in extrapolating the intersection of baseline and upstroke velocities. There is precedent for using the point of half maximum to estimate arrival time at MR imaging (23,24), and this methodology has been shown in a recent study to have higher correlation with age and carotid femoral PWV (25). Further studies are needed to affirm prognostic and therapeutic implications of our findings.…”

Section: Discussionmentioning

confidence: 83%

“…This distance was termed the aortic arch distance. PWV was calculated by dividing the aortic arch distance by the transit time, which was calculated as the time between the ascending and descending upstroke velocities at half maximum (23)(24)(25). Further details regarding aortic arch PWV measurement are shown in the Figure. Cardiovascular risk factors.-Variables were assessed at entry into DHS-1.…”

Section: Predictor Variablesmentioning

confidence: 99%

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White Matter Hyperintensities: Use of Aortic Arch Pulse Wave Velocity to Predict Volume Independent of Other Cardiovascular Risk Factors

King¹,

Chen²,

Hulsey³

et al. 2013

Radiology

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Purpose:To evaluate the relationship between pulse wave velocity (PWV) from the aortic arch and subsequent cerebral microvascular disease independent of other baseline cardiovascular risk factors among the participants in the multiethnic Dallas Heart Study. Materials and Methods:Each subject gave written consent to participate in this HIPAA-compliant, institutional review board-approved prospective study. Aortic arch PWV was measured with phase-contrast magnetic resonance (MR) imaging in a population sample (n = 1270) drawn from the probabilitybased Dallas Heart Study. Seven years later, the volume of white matter hyperintensities (WMHs) was determined from brain MR images. Linear regression was conducted with aortic arch PWV, 15 other cardiovascular risk factors, and age, sex, and ethnicity included as predictors of WMH. The authors implemented a smoothly clipped absolute deviation-penalized variable selection method to evaluate an optimal predictive risk factor model. Results:Aortic arch PWV helped predict WMH volume independent of the other demographic and cardiovascular risk factors (regression coefficient: 0.29; standard error: 0.06; 95% confidence interval: 0.17, 0.42; P , .0001). The optimal predictor variables of subsequent WMH volume adjusted for sex and ethnicity included aortic arch PWV, age, systolic blood pressure, hypertension treatment, and congestive heart failure. The authors estimated that a 1% increase in aortic arch PWV (in meters per second) is related to a 0.3% increase in subsequent WMH volume (in milliliters) when all other variables in the model are held constant. Conclusion:Aortic arch PWV measured with phase-contrast MR imaging is a highly significant independent predictor of subsequent WMH volume, with a higher standardized effect than any other cardiovascular risk factor assessed except for age. In an optimal predictive model of subsequent WMH burden, aortic arch PWV provides a distinct contribution along with systolic blood pressure, hypertension treatment, congestive heart failure, and age.

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Section: Discussionmentioning

confidence: 83%

Section: Predictor Variablesmentioning

confidence: 99%

White Matter Hyperintensities: Use of Aortic Arch Pulse Wave Velocity to Predict Volume Independent of Other Cardiovascular Risk Factors

King¹,

Chen²,

Hulsey³

et al. 2013

Radiology

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“…All analyses were performed using validated software (ART-FUN, Inserm, Paris). 26,27 The path length was defined on the anatomic images to create a 3D Bezier curve through the centerline of the aorta intersecting the plane at which flow measurements had been obtained.…”

Section: Image Analysismentioning

confidence: 99%

“…27 Volumetric analysis of the LV cine images was performed with CMRtools (Cardiovascular Imaging Solutions, London, United Kingdom) using semiautomated segmentation of the left ventricle with tracking of the mitral and aortic valves. LV mass and cardiac output were derived from these data.…”

Section: Image Analysismentioning

confidence: 99%

Body Fat Is Associated With Reduced Aortic Stiffness Until Middle Age

et al. 2013

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Abstract-Obesity is a major risk factor for cardiometabolic disease, but the effect of body composition on vascular aging and arterial stiffness remains uncertain. We investigated relationships among body composition, blood pressure, age, and aortic pulse wave velocity in healthy individuals. Pulse wave velocity in the thoracic aorta, an indicator of central arterial stiffness, was measured in 221 volunteers (range, 18-72 years; mean, 40.3±13 years) who had no history of cardiovascular disease using cardiovascular MRI. In univariate analyses, age (r=0.78; P<0.001) and blood pressure (r=0.41; P<0.001) showed a strong positive association with pulse wave velocity. In multivariate analysis, after adjustment for age, sex, and mean arterial blood pressure, elevated body fat% was associated with reduced aortic stiffness until the age of 50 years, thereafter adiposity had an increasingly positive association with aortic stiffness (β=0.16; P<0.001). Body fat% was positively associated with cardiac output when age, sex, height, and absolute lean mass were adjusted for (β=0.23; P=0.002). These findings suggest that the cardiovascular system of young adults may be capable of adapting to the state of obesity and that an adverse association between body fat and aortic stiffness is only apparent in later life. (Hypertension. 2013;61:1322-1327.)

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“…However, the optimal method for estimation of transit time from the resultant velocity curves remains under review [114]. Research is currently focused on a revision of the traditional 2-slice method to a two-directional in-plane velocity-encoded CMR covering the entire aorta in 3 parallel oblique-sagittal slices and, more recently, to a 4-slice breath-hold throughplane velocity-encoded CMR [115,116].…”

Section: Post Surgical Assessmentmentioning

confidence: 99%