NDLI: Aortic backward flow indices estimated from phase-contrast cardiovascular magnetic resonance data

Content Provider	IEEE Xplore Digital Library
Author	Bensalah, M. Bollache, E. Kachenoura, N. De Cesare, A. Lefort, M. Redheuil, A. Mousseaux, E.
Copyright Year	2012
Description	Author affiliation: INSERM U678 / UPMC Univ Paris 6, Paris, France (Bensalah, M.; Bollache, E.; Kachenoura, N.; De Cesare, A.; Lefort, M.; Redheuil, A.; Mousseaux, E.)
Abstract	Aging is a major cardiovascular risk factor and is associated with arterial stiffness. We hypothesized that quantitative parameters related to backward flow (BF) in the ascending aorta (AA) estimated from phase-contrast cardiovascular magnetic resonance (PC-CMR) data could be relevant markers of aging. We studied 100 healthy subjects (age: 40±15years). Aortic stiffness (aortic arch pulse wave velocity, AA distensibility) and geometry (AA diastolic diameter and arch length) indices and parameters of AA global flow, forward flow (FF) and BF (volumes and flow rate peaks) were semi-automatically estimated from 2D PC-CMR data. Carotid-femoral pulse wave velocity and carotid augmentation index (AIx) were assessed using applanation tonometry. AA flow parameters were highly reproducible (interobserver variability<1.6±8.4%). Aortic BF significantly increased in terms of volume and flow rate peak with age (r>0.50, p<0.0001), while global flow and FF parameters were stable (p>0.06). Multivariate analysis showed that BF was strongly associated to aortic geometry and AIx independent of age, gender, body size, blood pressure and heart rate. Thus, aortic PC-CMR BF parameters could be early functional markers of subclinical impairment of circulatory efficiency and could help to further understand physiology of vascular aging.
Starting Page	565
Ending Page	568
File Size	274969
Page Count	4
File Format	PDF
ISBN	9781467320764
ISSN	2325887X
e-ISBN	9781467320771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-09
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Geometry Blood flow Magnetic resonance Reflection Aging Biomedical imaging Predictive models
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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