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


Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
01 2019
Historique:
received: 03 03 2018
accepted: 25 05 2018
pubmed: 6 11 2018
medline: 24 3 2020
entrez: 4 11 2018
Statut: ppublish

Résumé

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. To validate MRI-based pressure mapping against pressure drop derived from heart catheterization and to define minimal clinical requirements. Prospective clinical validation study. Twenty-seven coarctation patients with an indicated heart catheterization were enrolled at two clinical centers. 1.5T including 4D velocity-encoded MRI and 3D anatomical imaging of the aorta. 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. Pressure drop was compared to peak-to-peak measurements. A two-sample paired mean equivalence test was used. 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). 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. 2 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:81-89.

Sections du résumé

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.

Identifiants

pubmed: 30390353
doi: 10.1002/jmri.26230
doi:

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

81-89

Informations de copyright

© 2018 International Society for Magnetic Resonance in Medicine.

Auteurs

Leonid Goubergrits (L)

Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany.

Florian Hellmeier (F)

Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany.

Dominik Neumann (D)

Medical Imaging Technologies, Siemens Healthcare, Erlangen, Germany.

Viorel Mihalef (V)

Medical Imaging Technologies, Siemens Medical Solutions, Princeton, New Jersey, USA.

Mehmet A Gulsun (MA)

Medical Imaging Technologies, Siemens Medical Solutions, Princeton, New Jersey, USA.

Marcello Chinali (M)

Department of Cardiology and Cardiac Surgery, Bambino Gesú Children's Research Hospital, Rome, Italy.

Aurelio Secinaro (A)

Department of Imaging, Bambino Gesú Children's Research Hospital, Rome, Italy.

Kilian Runte (K)

Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany.
German Heart Center Berlin, Department of Congenital Heart Disease, Unit of Cardiovascular Imaging, Berlin, Germany.

Stephan Schubert (S)

German Heart Center Berlin, Department of Congenital Heart Disease, Unit of Cardiovascular Imaging, Berlin, Germany.

Felix Berger (F)

German Heart Center Berlin, Department of Congenital Heart Disease, Unit of Cardiovascular Imaging, Berlin, Germany.
Charité, Universitätsmedizin Berlin, Pediatric Cardiology, Berlin, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.

Titus Kuehne (T)

Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.

Anja Hennemuth (A)

Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany.

Marcus Kelm (M)

Institute for Computational and Imaging Science in Cardiovascular Medicine, Charité, Universitätsmedizin Berlin, Berlin, Germany.
German Heart Center Berlin, Department of Congenital Heart Disease, Unit of Cardiovascular Imaging, Berlin, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.

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