Literature DB >> 30390353

Patient-specific requirements and clinical validation of MRI-based pressure mapping: A two-center study in patients with aortic coarctation.

Leonid Goubergrits1, Florian Hellmeier1, Dominik Neumann2, Viorel Mihalef3, Mehmet A Gulsun3, Marcello Chinali4, Aurelio Secinaro5, Kilian Runte1,6, Stephan Schubert6, Felix Berger6,7,8, Titus Kuehne1,8, Anja Hennemuth1, Marcus Kelm1,6,8.   

Abstract

BACKGROUND: Invasive peak-to-peak pressure gradients are the current clinical reference standard for assessing aortic coarctation. To obtain them, patients need to undergo arterial heart catheterization. Unless an intervention is performed, the procedure remains purely diagnostic, while the concomitant risks remain.
PURPOSE: To validate MRI-based pressure mapping against pressure drop derived from heart catheterization and to define minimal clinical requirements. STUDY TYPE: Prospective clinical validation study. POPULATION: Twenty-seven coarctation patients with an indicated heart catheterization were enrolled at two clinical centers. MRI SEQUENCES: 1.5T including 4D velocity-encoded MRI and 3D anatomical imaging of the aorta. ASSESSMENT: Pressure drop across the stenosis was calculated by pressure mapping based on the pressure Poisson equation. Calculated pressure drops were compared with catheter measured data. Spatial and temporal resolution were analyzed using in silico phantom-based data as well as in vivo measurements. STATISTICS: Pressure drop was compared to peak-to-peak measurements. A two-sample paired mean equivalence test was used.
RESULTS: In patients without imaging artifacts and a required spatial resolution ≥5 voxel/diameter, significant equivalence of pressure mapping compared to heart catheterization was found (17.5 ± 6.49 vs. 16.6 ± 6.53 mmHg, P < 0.001). DATA
CONCLUSION: Pressure mapping provides equivalent accuracy to pressure drop obtained from heart catheterization in patients 1) without previous stenting and 2) with sufficient spatial image resolution (at least 5 voxels/diameter). In these patients the method can reliably be performed prior to the actual procedure, and thus allows safe noninvasive treatment planning based on MRI. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:81-89.
© 2018 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  4D VEC MRI; aortic coarctation; catheterization; congenital heart disease; image-based cardiovascular modeling; noninvasive diagnostics

Mesh:

Year:  2018        PMID: 30390353     DOI: 10.1002/jmri.26230

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

Review 1.  4D flow MRI applications in congenital heart disease.

Authors:  Judy Rizk
Journal:  Eur Radiol       Date:  2020-09-01       Impact factor: 5.315

2.  CTA-Based Non-invasive Estimation of Pressure Gradients Across a CoA: a Validation Against Cardiac Catheterisation.

Authors:  Mingzi Zhang; Jinlong Liu; Haibo Zhang; David I Verrelli; Qian Wang; Liwei Hu; Yujie Li; Makoto Ohta; Jinfen Liu; Xi Zhao
Journal:  J Cardiovasc Transl Res       Date:  2021-03-04       Impact factor: 4.132

3.  A Patient-Specific CFD Pipeline Using Doppler Echocardiography for Application in Coarctation of the Aorta in a Limited Resource Clinical Context.

Authors:  Liam Swanson; Benjamin Owen; Amir Keshmiri; Amin Deyranlou; Thomas Aldersley; John Lawrenson; Paul Human; Rik De Decker; Barend Fourie; George Comitis; Mark E Engel; Bernard Keavney; Liesl Zühlke; Malebogo Ngoepe; Alistair Revell
Journal:  Front Bioeng Biotechnol       Date:  2020-06-03

4.  Intra-cardiac pressure drop and flow distribution of bicuspid aortic valve disease in preserved ejection fraction.

Authors:  Shirin Aliabadi; Alireza Sojoudi; Murad F Bandali; Michael S Bristow; Carmen Lydell; Paul W M Fedak; James A White; Julio Garcia
Journal:  Front Cardiovasc Med       Date:  2022-08-24

5.  Assessment of hemodynamic responses to exercise in aortic coarctation using MRI-ergometry in combination with computational fluid dynamics.

Authors:  Charlotte Schubert; Jan Brüning; Leonid Goubergrits; Anja Hennemuth; Felix Berger; Titus Kühne; Marcus Kelm
Journal:  Sci Rep       Date:  2020-11-03       Impact factor: 4.379

  5 in total

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