Title :
Evaluation of aortic flow alterations using MRI: Associations with left ventricular remodeling
Author :
Bargiotas, Ioannis ; Bollache, Emilie ; de Cesare, Alain ; Redheuil, Alban ; Mousseaux, Elie ; Kachenoura, Nadjia
Author_Institution :
Lab. d´Imagerie Biomed., Sorbonne Univ., Paris, France
Abstract :
Aims: Evaluate ascending aorta (AA) flow alterations from MRI velocity data and their associations with age and LV remodeling, defined as LV-mass (LVM) divided by end-diastolic volume (EDV), in comparison with tonometric stiffness indices (pulse wave velocity (PWV) and reflection index (AIx)). Methods: For 70 healthy volunteers (46±15 years; 40 males), MRI LV cine data and through-plane AA velocity were used to assess LVM and EDV as well as late systolic morphological flow and velocity curves changes, such as a) time-interval required for deceleration to reach half of systolic peak, normalized by systolic deceleration time-interval (DT), b) decelerating slopes calculated using these timings and c) decrease in magnitude during half of DT, expressed in percentage of systolic peak,. Results: While slopes were independent correlates of age (r>0.35, p<;0.002) and AIx (r>0.40, p<;0.001), magnitude (r>0.35, p<;0.002) and timing (r>-0.39, p<;0.002) indices were independently associated with LVM/EDV, after adjustment for age, gender, weight, height, heart-rate and systolic blood pressures. PWV was significantly associated with LVM/EDV (r=0.25, p<;0.04) but did not remain significant after adjustment. Conclusion: Local indices of AA flow alterations are stronger correlates of LV remodeling than conventional indices of arterial stiffness.
Keywords :
biomedical MRI; blood pressure measurement; blood vessels; AA velocity; EDV; LV remodeling; LV-mass; LVM; MRI LV cine data; MRI velocity data; arterial stifness; ascending aorta flow alteration evaluation; heart-rate; left ventricular remodeling; systolic blood pressures; systolic deceleration time-interval; systolic morphological flow; velocity curves; Abstracts; Coils; Heart; Image segmentation; Magnetic resonance imaging; Pulse measurements; Velocity measurement;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
Print_ISBN :
978-1-4799-4346-3