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Four-dimensional Flow Magnetic Resonance Imaging Quantification of Blood Flow in Bicuspid Aortic Valve.
Gordon, Daniel Z; Abbasi, Muhannad A; Lee, Jeesoo; Sarnari, Roberto; Sojoudi, Alireza; Wei, Qiao; Scott, Michael B; Collins, Jeremy D; Allen, Bradley D; Blaisdell, Julie A; Carr, James C; Markl, Michael.
Afiliación
  • Gordon DZ; Department of Radiology, Northwestern University, Chicago.
  • Abbasi MA; Department of Radiology, Northwestern University, Chicago.
  • Lee J; Department of Radiology, Northwestern University, Chicago.
  • Sarnari R; Department of Radiology, Northwestern University, Chicago.
  • Sojoudi A; Circle Cardiovascular Imaging, Calgary, AB, Canada.
  • Wei Q; Circle Cardiovascular Imaging, Calgary, AB, Canada.
  • Scott MB; Department of Radiology, Northwestern University, Chicago.
  • Collins JD; Department of Radiology, Mayo Clinic, Rochester, MN.
  • Allen BD; Department of Radiology, Northwestern University, Chicago.
  • Blaisdell JA; Department of Radiology, Northwestern University, Chicago.
  • Carr JC; Department of Radiology, Northwestern University, Chicago.
  • Markl M; Department of Radiology, Northwestern University, Chicago.
J Thorac Imaging ; 35(6): 383-388, 2020 Nov 01.
Article en En | MEDLINE | ID: mdl-32453278
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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Enfermedad de la Válvula Aórtica Bicúspide / Enfermedades de las Válvulas Cardíacas Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: J Thorac Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Enfermedad de la Válvula Aórtica Bicúspide / Enfermedades de las Válvulas Cardíacas Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Revista: J Thorac Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article