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dc.rights.licenseopenen_US
dc.contributor.authorKIMURA, Yoshitaka
dc.contributor.authorWALLET, Justin
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorBOUYER, Benjamin
dc.contributor.authorJONGBLOED, Monique R M
dc.contributor.authorBERTELS, Robin
dc.contributor.authorHAZEKAMP, Mark G
dc.contributor.authorTHAMBO, Jean-Benoit
dc.contributor.authorIRIART, Xavier
dc.contributor.authorCOCHET, Hubert
dc.contributor.authorSACHER, Frederic
dc.contributor.authorLAMB, Hildo J
dc.contributor.authorBLOM, Nico A
dc.contributor.authorZEPPENFELD, Katja
dc.date.accessioned2024-06-27T08:05:17Z
dc.date.available2024-06-27T08:05:17Z
dc.date.issued2024-05-14
dc.identifier.issn1522-9645en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/200666
dc.description.abstractEnBACKGROUND AND AIMS: Patients with repaired tetralogy of Fallot remain at risk of life-threatening ventricular tachycardia related to slow-conducting anatomical isthmuses (SCAIs). Preventive ablation of SCAI identified by invasive electroanatomical mapping is increasingly performed. This study aimed to non-invasively identify SCAI using 3D late gadolinium enhancement cardiac magnetic resonance (3D-LGE-CMR). METHODS: Consecutive tetralogy of Fallot patients who underwent right ventricular electroanatomical mapping (RV-EAM) and 3D-LGE-CMR were included. High signal intensity threshold for abnormal myocardium was determined based on direct comparison of bipolar voltages and signal intensity by co-registration of RV-EAM with 3D-LGE-CMR. The diagnostic performance of 3D-LGE-CMR to non-invasively identify SCAI was determined, validated in a second cohort, and compared with the discriminative ability of proposed risk scores. RESULTS: The derivation cohort consisted of 48 (34 ± 16 years) and the validation cohort of 53 patients (36 ± 18 years). In the derivation cohort, 78 of 107 anatomical isthmuses (AIs) identified by EAM were normal-conducting AI, 22 were SCAI, and 7 blocked AI. High signal intensity threshold was 42% of the maximal signal intensity. The sensitivity and specificity of 3D-LGE-CMR for identifying SCAI or blocked AI were 100% and 90%, respectively. In the validation cohort, 85 of 124 AIs were normal-conducting AI, 36 were SCAI, and 3 blocked AI. The sensitivity and specificity of 3D-LGE-CMR were 95% and 91%, respectively. All risk scores showed an at best modest performance to identify SCAI (area under the curve ≤ .68). CONCLUSIONS: 3D late gadolinium enhancement cardiac magnetic resonance can identify SCAI with excellent accuracy and may refine non-invasive risk stratification and patient selection for invasive EAM in tetralogy of Fallot.
dc.language.isoENen_US
dc.subject.enAnatomical isthmus
dc.subject.enCardiac magnetic resonance
dc.subject.enRisk stratification
dc.subject.enTetralogy of Fallot
dc.subject.enVentricular tachycardia
dc.title.enThree-dimensional cardiac magnetic resonance allows the identification of slow-conducting anatomical isthmuses in tetralogy of Fallot
dc.title.alternativeEur Heart Jen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/eurheartj/ehae268en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed38748258en_US
bordeaux.journalEuropean Heart Journalen_US
bordeaux.page2079-2094en_US
bordeaux.volume45en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue23en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamAHEAD_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-04626735
hal.version1
hal.date.transferred2024-06-27T08:05:20Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=European%20Heart%20Journal&rft.date=2024-05-14&rft.volume=45&rft.issue=23&rft.spage=2079-2094&rft.epage=2079-2094&rft.eissn=1522-9645&rft.issn=1522-9645&rft.au=KIMURA,%20Yoshitaka&WALLET,%20Justin&BOUYER,%20Benjamin&JONGBLOED,%20Monique%20R%20M&BERTELS,%20Robin&rft.genre=article


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