OBJECTIVES: Pulse wave velocity (PWV) of the aortic arch is usually estimated by using 2D phase contrast in MRI. Thanks to 4D flow MRI, segmental PWV of the ascending and descending aorta, as well as PWV of the entire thoracic aorta can now be estimated within the same examination. Our objective is to compare PWVs obtained by 2D and 4D PC, through their relationships with carotid-femoral PWV (cf-PWV), age and left ventricular remodelling. BASIC METHODS: MRI examinations were performed at 3 Tesla, including 2D PC acquisitions with through-plane velocity encoding and sagittal 4D phase contrast acquisitions covering the thoracic aorta volume. PWVs were calculated after estimating aortic lengths and flow transit times between the ascending aorta and descending aorta in 2D and between valve, isthmus and diaphragm in 4D resulting in 2D-PWV, 4D-TA-PWV; 4D-AA-PWV, 4D-DA-PWV. MAIN RESULTS: Fifty-seven healthy volunteers (25 men, age 51 years ± 17) were studied. All MRI-PWVs were correlated with cf-PWV (r = 0.67; r = 0.63: r = 0.47; r = 0.61 for 2D-PWV, 4D-TA-PWV; 4D-AA-PWV, 4D-DA-PWV, respectively, P < 0.001). 2D-PWV and 4D-TA-PWV were strongly related with age (r = 0.76 and r = 0.77, respectively). The highest correlation, between left ventricular thickness or LV mass/end diastolic volume (EDV) ratio and segmental PWVs of the thoracic aorta was found with 4D-AA-PWV (r = 0.43, P < 0.01 and r = 0.48, P < 0.01). PRINCIPAL CONCLUSIONS: Global and segmental PWV analysis of the thoracic aorta can be accurately assessed using 4D flow MRI. 4D-PWVs were highly correlated with ageing and cf-PWV. The strong association between the ascending aorta stiffness and the left ventricular remodelling in healthy volunteers is encouraging to better estimate left ventricular afterload.
OBJECTIVES: Pulse wave velocity (PWV) of the aortic arch is usually estimated by using 2D phase contrast in MRI. Thanks to 4D flow MRI, segmental PWV of the ascending and descending aorta, as well as PWV of the entire thoracic aorta can now be estimated within the same examination. Our objective is to compare PWVs obtained by 2D and 4D PC, through their relationships with carotid-femoral PWV (cf-PWV), age and left ventricular remodelling. BASIC METHODS: MRI examinations were performed at 3 Tesla, including 2D PC acquisitions with through-plane velocity encoding and sagittal 4D phase contrast acquisitions covering the thoracic aorta volume. PWVs were calculated after estimating aortic lengths and flow transit times between the ascending aorta and descending aorta in 2D and between valve, isthmus and diaphragm in 4D resulting in 2D-PWV, 4D-TA-PWV; 4D-AA-PWV, 4D-DA-PWV. MAIN RESULTS: Fifty-seven healthy volunteers (25 men, age 51 years ± 17) were studied. All MRI-PWVs were correlated with cf-PWV (r = 0.67; r = 0.63: r = 0.47; r = 0.61 for 2D-PWV, 4D-TA-PWV; 4D-AA-PWV, 4D-DA-PWV, respectively, P < 0.001). 2D-PWV and 4D-TA-PWV were strongly related with age (r = 0.76 and r = 0.77, respectively). The highest correlation, between left ventricular thickness or LV mass/end diastolic volume (EDV) ratio and segmental PWVs of the thoracic aorta was found with 4D-AA-PWV (r = 0.43, P < 0.01 and r = 0.48, P < 0.01). PRINCIPAL CONCLUSIONS: Global and segmental PWV analysis of the thoracic aorta can be accurately assessed using 4D flow MRI. 4D-PWVs were highly correlated with ageing and cf-PWV. The strong association between the ascending aorta stiffness and the left ventricular remodelling in healthy volunteers is encouraging to better estimate left ventricular afterload.
Authors: Kelly Jarvis; Michael B Scott; Gilles Soulat; Mohammed S M Elbaz; Alex J Barker; James C Carr; Michael Markl; Ann Ragin Journal: J Magn Reson Imaging Date: 2022-01-10 Impact factor: 5.119
Authors: Michael R Sood; Sahar S Abdelmoneim; Nripen Dontineni; Alexander Ivanov; Ernest Lee; Michael Rubin; Michael Vittoria; Marcella Meykler; Vidhya Ramachandran; Terrence Sacchi; Sorin Brener; Igor Klem; John F Heitner Journal: Vasc Health Risk Manag Date: 2022-08-30