Huiming Dong1,2, Ria Mazumder1,3,4, Venkata Sita Priyanka Illapani1,2, Xiaokui Mo5, Richard D White1,6, Arunark Kolipaka1,2,6. 1. Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA. 2. Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA. 3. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA. 4. Department of Biomedical Engineering, Widener University, Chester, Pennsylvania, USA. 5. Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA. 6. Department of Internal Medicine-Division of Cardiology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Abstract
PURPOSE: Aortic stiffness plays an important role in evaluating and predicting the progression of systemic arterial hypertension (SAH). The aim of this study is to determine the stiffness of aortic wall using MR elastography (MRE) in a hypertensive porcine model and compare it against invasive aortic pressure measurements. METHODS: Renal wrapping surgery was performed on eight pigs to induce SAH. Aortic MRE was performed at baseline and 2 months postsurgery using a retrospectively pulse-gated gradient-echo MRE sequence on a 1.5 tesla scanner. Mechanical waves of 70 Hz were introduced into the aorta. Invasive central aortic pressure measurements were obtained prior to each scan to calculate mean arterial pressure (MAP). MRE data were analyzed to obtain effective aortic stiffness. Spearman's rank correlation analysis was performed to assess the relationship between MAP and MRE-derived aortic stiffness. RESULTS: Significant increase in effective aortic stiffness was observed between baseline and 2 months postsurgery measurements (paired t test; P = 0.004). The average MAP, determined by pooling all animals, was 65.24 ± 9.42 mm Hg at baseline and 92.57 ± 11.80 mm Hg 2 months postsurgery with P < 0.0001. Moderate linear correlation was observed between MAP and effective aortic stiffness (ρ = 0.52; P = 0.046). CONCLUSION: This study demonstrated that, in a SAH porcine model, MRE-derived aortic stiffness increased with increase in MAP. Magn Reson Med 78:2315-2321, 2017.
PURPOSE: Aortic stiffness plays an important role in evaluating and predicting the progression of systemic arterial hypertension (SAH). The aim of this study is to determine the stiffness of aortic wall using MR elastography (MRE) in a hypertensive porcine model and compare it against invasive aortic pressure measurements. METHODS: Renal wrapping surgery was performed on eight pigs to induce SAH. Aortic MRE was performed at baseline and 2 months postsurgery using a retrospectively pulse-gated gradient-echo MRE sequence on a 1.5 tesla scanner. Mechanical waves of 70 Hz were introduced into the aorta. Invasive central aortic pressure measurements were obtained prior to each scan to calculate mean arterial pressure (MAP). MRE data were analyzed to obtain effective aortic stiffness. Spearman's rank correlation analysis was performed to assess the relationship between MAP and MRE-derived aortic stiffness. RESULTS: Significant increase in effective aortic stiffness was observed between baseline and 2 months postsurgery measurements (paired t test; P = 0.004). The average MAP, determined by pooling all animals, was 65.24 ± 9.42 mm Hg at baseline and 92.57 ± 11.80 mm Hg 2 months postsurgery with P < 0.0001. Moderate linear correlation was observed between MAP and effective aortic stiffness (ρ = 0.52; P = 0.046). CONCLUSION: This study demonstrated that, in a SAH porcine model, MRE-derived aortic stiffness increased with increase in MAP. Magn Reson Med 78:2315-2321, 2017.
Authors: Patricia M Kearney; Megan Whelton; Kristi Reynolds; Paul Muntner; Paul K Whelton; Jiang He Journal: Lancet Date: 2005 Jan 15-21 Impact factor: 79.321
Authors: Andrew D Stewart; Benyu Jiang; Sandrine C Millasseau; James M Ritter; Philip J Chowienczyk Journal: Hypertension Date: 2006-08-14 Impact factor: 10.190
Authors: Huiming Dong; Duncan S Russell; Alan S Litsky; Matthew E Joseph; Xiaokui Mo; Richard D White; Arunark Kolipaka Journal: Invest Radiol Date: 2020-07 Impact factor: 10.065