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High-resolution structural-functional substrate-trigger characterization: Future roadmap for catheter ablation of ventricular tachycardia

Authors :
Job Stoks
Ben J. M. Hermans
Bas J. D. Boukens
Robert J. Holtackers
Suzanne Gommers
Yesim S. Kaya
Kevin Vernooy
Matthijs J. M. Cluitmans
Paul G. A. Volders
Rachel M. A. ter Bekke
RS: FSE DACS
Cardiologie
RS: Carim - H04 Arrhythmogenesis and cardiogenetics
RS: Carim - H08 Experimental atrial fibrillation
Fysiologie
RS: CARIM School for Cardiovascular Diseases
Beeldvorming
MUMC+: DA BV Research (9)
RS: Carim - B06 Imaging
MUMC+: DA BV Medisch Specialisten Radiologie (9)
MUMC+: MA Alg Ond Onderz Cardiologie (9)
RS: Carim - H01 Clinical atrial fibrillation
RS: Carim - H06 Electro mechanics
MUMC+: MA Cardiologie (3)
MUMC+: MA Med Staf Spec Cardiologie (9)
Stoks, Job/0000-0001-8881-5498
STOKS, Job
Hermans, Ben J. M.
Boukens, Bas J. D.
Holtackers, Robert J.
Gommers, Suzanne
Kaya, Yesim S.
Vernooy, Kevin
Cluitmans, Matthijs J. M.
Volders, Paul G. A.
ter Bekke, Rachel M. A.
Medical Biology
ACS - Heart failure & arrhythmias
Cardiology
Source :
Frontiers in cardiovascular medicine, 10:1112980. Frontiers Media S.A.
Publication Year :
2023

Abstract

Introduction Patients with ventricular tachyarrhythmias (VT) are at high risk of sudden cardiac death. When appropriate, catheter ablation is modestly effective, with relatively high VT recurrence and complication rates. Personalized models that incorporate imaging and computational approaches have advanced VT management. However, 3D patient-specific functional electrical information is typically not considered. We hypothesize that incorporating non-invasive 3D electrical and structural characterization in a patient-specific model improves VT-substrate recognition and ablation targeting.Materials and methods In a 53-year-old male with ischemic cardiomyopathy and recurrent monomorphic VT, we built a structural-functional model based on high-resolution 3D late-gadolinium enhancement (LGE) cardiac magnetic resonance imaging (3D-LGE CMR), multi-detector computed tomography (CT), and electrocardiographic imaging (ECGI). Invasive data from high-density contact and pace mapping obtained during endocardial VT-substrate modification were also incorporated. The integrated 3D electro-anatomic model was analyzed off-line.Results Merging the invasive voltage maps and 3D-LGE CMR endocardial geometry led to a mean Euclidean node-to-node distance of 5 & PLUSMN; 2 mm. Inferolateral and apical areas of low bipolar voltage (< 1.5 mV) were associated with high 3D-LGE CMR signal intensity (> 0.4) and with higher transmurality of fibrosis. Areas of functional conduction delay or block (evoked delayed potentials, EDPs) were in close proximity to 3D-LGE CMR-derived heterogeneous tissue corridors. ECGI pinpointed the epicardial VT exit at & SIM;10 mm from the endocardial site of origin, both juxtaposed to the distal ends of two heterogeneous tissue corridors in the inferobasal left ventricle. Radiofrequency ablation at the entrances of these corridors, eliminating all EDPs, and at the VT site of origin rendered the patient non-inducible and arrhythmia-free until the present day (20 months follow-up). Off-line analysis in our model uncovered dynamic electrical instability of the LV inferolateral heterogeneous scar region which set the stage for an evolving VT circuit.Discussion and conclusion We developed a personalized 3D model that integrates high-resolution structural and electrical information and allows the investigation of their dynamic interaction during arrhythmia formation. This model enhances our mechanistic understanding of scar-related VT and provides an advanced, non-invasive roadmap for catheter ablation. This study was supported by the Special Research Fund (BOF) of Hasselt University (BOF17DOCMA15) and the Maastricht University Medical Center (MUMC+) to JS, the Hein Wellens Foundation, Health Foundation Limburg (Maastricht, The Netherlands), and a Veni grant from the Netherlands Organization for Scientific Research (TTW16772) to MC, the Netherlands CardioVascular Research Initiative (CVON2017-13 VIGILANCE and CVON2018B030 PREDICT2), Den Haag, The Netherlands to PV, and a Veni grant from the Netherlands Organization for Scientific Research (NWO/ZonMw 0915016181013) to RTB.

Details

Language :
English
ISSN :
09150161 and 2297055X
Database :
OpenAIRE
Journal :
Frontiers in cardiovascular medicine, 10:1112980. Frontiers Media S.A.
Accession number :
edsair.doi.dedup.....42ad986d8b27da07ffaacc92e8f54a32