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Scott, Michael

https://orcid.org/0000-0001-7160-4248

Mayo Clinic

Northwestern University

Citations 3

Investigation of Aortic Wall Thickness, Stiffness and Flow Reversal in Patients With Cryptogenic Stroke: A 4D Flow MRI Study
Jarvis, Kelly , Soulat, Gilles , Scott, Michael , Vali, Alireza , Pathrose, Ashitha , Syed, Amer Ahmed, Kinno, Menhel , Markl, Michael , Collins, Jeremy D. , Markl, Michael , Prabhakaran, Shyam

Journal of Magnetic Resonance Imaging | August 31, 2020 | Volume: 53 | Issue: 3 | Pages: 942-952

10.1002/jmri.27345 Get It

BackgroundStroke etiology is undetermined in approximately one‐sixth to one‐third of patients. The presence of aortic flow reversal and plaques in the descending aorta (DAo) has been identified as a potential retrograde embolic mechanism.PurposeTo assess the relationships between aortic stiffness, wall thickness, and flow reversal in patients with cryptogenic stroke and healthy controls.Study TypeProspective.PopulationTwenty one patients with cryptogenic stroke and proven DAo plaques (69 ± 9 years, 43% female), 18 age‐matched controls (age: 65 ± 8 years, 61% female), and 14 younger controls (36 ± 9 years, 57% female).Field Strength/Sequence1.5T; 4D flow MRI and 3D dark blood T1‐weighted turbo spin echo MRI of the aorta.AssessmentNoncontrast aortic 4D flow MRI to measure 3D flow dynamics and 3D dark blood aortic wall MRI to assess wall thickness. 4D flow MRI analysis included automated quantification of aortic stiffness by pulse wave velocity (PWV) and voxelwise mapping of the flow reversal fraction (FRF).Statistical TestsAnalysis of variance (ANOVA) or Kruskal–Wallis tests, Student's unpaired t‐tests or Wilcoxon rank‐sum tests, regression analysis.ResultsAortic PWV and FRF were statistically higher in patients (8.9 ± 1.7 m/s, 18.4 ± 7.7%) than younger controls (5.3 ± 0.8 m/s, P < 0.0167; 8.5 ± 2.9%, P < 0.0167), but not age‐matched controls (8.2 ± 1.6 m/s, P = 0.22; 15.6 ± 5.8%, P = 0.22). Maximum aortic wall thickness was higher in patients (3.1 ± 0.7 mm) than younger controls (2.2 ± 0.2 mm, P < 0.0167) and age‐matched controls (2.7 ± 0.5 mm) (P < 0.0167). For all subjects, positive relationships were found between PWV and age (R2 = 0.71, P < 0.05), aortic wall thickness (R2 = 0.20, P < 0.05), and FRF (R2 = 0.47, P < 0.05). Patients demonstrated relationships between PWV and FRF in the ascending aorta (R2 = 0.32, P < 0.05) and arch (R2 = 0.24, P < 0.05).Data ConclusionThis study showed the utility of 4D flow MRI for evaluating aortic PWV and voxelwise flow reversal. Positive relationships between aortic PWV, wall thickness, and flow reversal support the hypothesis that aortic stiffness is involved in this retrograde embolic mechanism.Level of Evidence2Technical Efficacy Stage1
Renin Angiotensin System Inhibitors Reduce Aortic Stiffness and Flow Reversal After a Cryptogenic Stroke
Soulat, Gilles , Jarvis, Kelly , Pathrose, Ashitha , Vali, Alireza , Scott, Michael , Syed, Amer Ahmed, Kinno, Menhel , Markl, Michael , Collins, Jeremy D. , Markl, Michael , Prabhakaran, Shyam

Journal of Magnetic Resonance Imaging | August 8, 2020 | Volume: 53 | Issue: 1 | Pages: 213-221

10.1002/jmri.27279 Get It

Background Blood flow reversal is a possible mechanism for retrograde embolism in the setting of high‐risk atherosclerotic plaques in the descending aorta (DAo). Evidence suggests that pulse wave velocity (PWV) is a determinant of blood flow reversal and can be reduced by the destiffening effect of renin‐angiotensin system inhibitors (RASI). Purpose To evaluate the impact of antihypertensive therapy on in vivo changes in PWV and flow reversal in patients with cryptogenic stroke. Study Type Prospective. Population Sixteen patients (69 ± 9 years; 10 males) included after cryptogenic stroke. Field Strength/Sequence 3T. 4D flow sequence (temporal resolution = 19.6 msec) Assessment Patients underwent aortic MRI at baseline and at 6‐month follow‐up. Patients received standard‐of‐care antihypertensive therapy that were classified as RASI vs. non‐RASI medications (ie, destiffening vs. nondestiffening).We compared aortic PWV, flow reversal fraction (FRF), aortic measurements, cardiac function, and other aortic and cardiac measurements in the antihypertensive therapy groups. Statistical Tests Two‐tailed paired or unpaired Student's t ‐tests (normal distributions) or Wilcoxon tests (nonnormal distribution). Univariate correlations using Pearson correlation coefficients. Results There was a significant decrease in PWV in the RASI ( n = 10) group (9.4 ± 1.6 m/s vs. 8.3 ± 1.9 m/s; P < 0.05), as well as FRF (18.6% ± 4.1% vs. 16.3% ± 4.0%; P < 0.05) between baseline and the 6‐month MRI studies. There were no changes in PWV or FRF in the non‐RASI ( n = 6) group ( P = 0.146 and P = 0.32). A decrease in FRF was significantly correlated with a decrease in PWV ( r = 0.53; P < 0.05). Data Conclusion The findings of our study suggest that RASI therapy after cryptogenic stroke resulted in a decrease of blood flow reversal and aortic stiffness. Evidence Level 1 Technical Efficacy Stage 4
Four-dimensional Flow Magnetic Resonance Imaging Quantification of Blood Flow in Bicuspid Aortic Valve
Gordon, Daniel , Abbasi, Muhannad , Lee, Jeesoo , Sarnari, Roberto, Sojoudi, Alireza , Wei, Qiao, Scott, Michael , Allen, Bradley D. , Blaisdell, Julie , Carr, James , Markl, Michael , Collins, Jeremy D. , Allen, Bradley A , Markl, Michael , Wei, Qiao

Journal of Thoracic Imaging | May 26, 2020 | Volume: 35 | Issue: 6 | Pages: 383-388

10.1097/rti.0000000000000535 Get It

Background: Four-dimensional (D) flow magnetic resonance imaging (MRI) is limited by time-consuming and nonstandardized data analysis. We aimed to test the efficiency and interobserver reproducibility of a dedicated 4D flow MRI analysis workflow. Materials and Methods: Thirty retrospectively identified patients with bicuspid aortic valve (BAV, age=47.8±11.8 y, 9 male) and 30 healthy controls (age=48.8±12.5 y, 21 male) underwent Aortic 4D flow MRI using 1.5 and 3 T MRI systems. Two independent readers performed 4D flow analysis on a dedicated workstation including preprocessing, aorta segmentation, and placement of four 2D planes throughout the aorta for quantification of net flow, peak velocity, and regurgitant fraction. 3D flow visualization using streamlines was used to grade aortic valve outflow jets and extent of helical flow. Results: 4D flow analysis workflow time for both observers: 5.0±1.4 minutes per case (range=3 to 10 min). Valve outflow jets and flow derangement was visible in all 30 BAV patients (both observers). Net flow, peak velocity, and regurgitant fraction was significantly elevated in BAV patients compared with controls except for regurgitant fraction in plane 4 (91.1±29.7 vs. 62.6±19.6 mL/s, 37.1% difference; 121.7±49.7 vs. 90.9±26.4 cm/s, 28.9% difference; 9.3±10.1% vs. 2.0±3.4%, 128.0% difference, respectively; P <0.001). Excellent intraclass correlation coefficient agreement for net flow: 0.979, peak velocity: 0.931, and regurgitant fraction: 0.928. Conclusion: Our study demonstrates the potential of an efficient data analysis workflow to perform standardized 4D flow MRI processing in under 10 minutes and with good-to-excellent reproducibility for flow and velocity quantification in the thoracic aorta.