9.7 THORACIC AORTA PWV ASSESSMENT BY USING 4D FLOW IN MRI
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- 10.1016/j.artres.2016.10.074How to use a DOI?
- Abstract
Purpose: In MRI, thoracic aorta pulse wave velocity (TAPWV) is usually estimated by 2D phase contrast (PC) with either in plane or through plane velocity acquisition. Thanks to technological improvement, 4D PC with full coverage of the TA and 3 dimension velocity encoding thought time can be now achievable in 10min. Our aim was to compare estimation of TAPWV using 4DPC or 2DPC on healthy volunteer.
Methods: Acquisitions were performed on a 3 Tesla scanner (GEHC, 750w). 2DPC was done with through plane velocity encoding on an axial oblique slice perpendicular to ascending and descending TA. 4D acquisition covered the full TA volume from the aortic valve to diaphragm. Segmentation and velocity estimates were done by using cloud computing (Arterys). Optimal data view sharing was applied to obtain 8ms and 16ms temporal resolution for 2DPC and 4DPC, respectively. Flow data curves where further computed on homemade software (artfun) to assess PWV for both 2D and 4D acquisition.
Results: 31 healthy volunteers (13 male, age 50.9y ±18.6) were included. Correlation coefficient between 4DPC and 2DPC PWV was 0.69 (p<0.001) with small underestimation of 4D vs 2D (−0.17m/s limits of agreement [−3.85 ; 3.50]). A strong correlation with aging was obtained for both 4D and 2D PWV(r=0.75 p<0.001 and r=0.74 p<0.001 respectively)
Conclusions: TAPWV can be accurately estimated by 4D flow MRI, since close relation with 2DPC and aging have been obtained. By using the same data set, TAPWV should be estimates in association to other stiffness and geometric parameters of the TA.
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TY - JOUR AU - Gilles Soulat AU - Umit Gencer AU - Nadjia Kachenoura AU - Konstantinos Stampoulis AU - Yousef Alattar AU - Emmanuel Messas AU - Olivier Villemain AU - Stéphane Laurent AU - Elie Mousseaux PY - 2016 DA - 2016/11/24 TI - 9.7 THORACIC AORTA PWV ASSESSMENT BY USING 4D FLOW IN MRI JO - Artery Research SP - 70 EP - 70 VL - 16 IS - C SN - 1876-4401 UR - https://doi.org/10.1016/j.artres.2016.10.074 DO - 10.1016/j.artres.2016.10.074 ID - Soulat2016 ER -