High-resolution automated free-breathing coronary magnetic resonance angiography in comparison with coronary computed tomography angiography

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dc.catalogadorjlo
dc.contributor.authorWood, Gregory
dc.contributor.authorUglebjerg Pedersen, Alexandra
dc.contributor.authorLinde Nørgaard, Bjarne
dc.contributor.authorAlcaraz Frederiksen, Christian
dc.contributor.authorMøller Jensen, Jesper
dc.contributor.authorKunze, Karl-Philipp
dc.contributor.authorNeji, Radhouene
dc.contributor.authorWetzl, Jens
dc.contributor.authorPrieto Vásquez, Claudia Del Carmen
dc.contributor.authorBotnar, Rene Michael
dc.contributor.authorYong Kim, Won
dc.date.accessioned2025-05-23T18:59:53Z
dc.date.available2025-05-23T18:59:53Z
dc.date.issued2025
dc.description.abstractAims Clinical implementation of coronary magnetic resonance angiography (CMRA) is limited due to variability in image quality. A protocol utilizing an image navigator (iNAV) integrated with automated scan planning has been developed to facilitate consistent diagnostic image quality. The aim of this study was to evaluate the agreement of automated iNAV CMRA compared with coronary computed tomography angiography (CCTA) using Coronary Artery Disease-Reporting and Data System (CAD-RADS) to classify coronary artery disease (CAD). Methods and results Ninety-five individuals underwent automated iNAV CMRA at a resolution of 0.7 mm3 with a deep learning–assisted automated scan planning and trigger-delay detection protocol. CMRA and CCTA data sets were analysed using CAD-RADS to classify the per-patient severity of CAD. Additionally, the accuracy of both imaging modalities in predicting referral for invasive coronary angiography (ICA) and coronary revascularization was assessed. CMRA classification for CAD-RADS ≥ 1, ≥2, ≥3, and ≥4 agreed with CCTA for 80%, 73%, 63%, and 70% of cases, respectively. The area under the receiver operating characteristic curves with CAD-RADS ≥ 4 and ≥3 for CMRA and CCTA were comparable in predicting ICA referral (0.75 vs. 0.70, P = 0.687, and 0.70 vs. 0.70, P = 0.945) and revascularization (0.72 vs. 0.74, P = 0.811, and 0.68 vs. 0.76, P = 0.089). Conclusion A novel automated iNAV CMRA protocol was implemented, investigating individuals at risk of CAD. Using the CAD-RADS classification, there was moderate to good agreement between CMRA and CCTA. In patients with CAD-RADS ≥ 4 and ≥3, CMRA was as effective as CCTA in predicting ICA referral and revascularization.
dc.fechaingreso.objetodigital2025-05-22
dc.format.extent9 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1093/ehjimp/qyaf037
dc.identifier.eissn2755-9637
dc.identifier.urihttps://doi.org/10.1093/ehjimp/qyaf037
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/104478
dc.information.autorucEscuela de Ingeniería; Prieto Vásquez, Claudia Del Carmen; 0000-0003-4602-2523; 14195
dc.information.autorucInstituto de Ingeniería Biológica y Médica; Botnar, Rene Michael; 0000-0003-2811-2509; 1015313
dc.language.isoen
dc.nota.accesocontenido completo
dc.revistaEuropean Heart Journal - Imaging Methods and Practice
dc.rightsacceso abierto
dc.subjectCoronary magnetic resonance angiography
dc.subjectCoronary artery disease
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleHigh-resolution automated free-breathing coronary magnetic resonance angiography in comparison with coronary computed tomography angiography
dc.typeartículo
dc.volumen3
sipa.codpersvinculados14195
sipa.codpersvinculados1015313
sipa.trazabilidadORCID;2025-05-19
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