Substrate characterization of the right ventricle in repaired tetralogy of Fallot using late enhancement cardiac magnetic resonance

• Published in: Heart rhythm Vol. 18; no. 11; pp. 1868 - 1875
• Main Authors: Rivas-Gándara, Nuria, Dos-Subirá, Laura, Francisco-Pascual, Jaume, Rodríguez-García, Julián, Pijuan-Domenech, Antonia, Benito, Begoña, Valente, Filipa, Pascual-González, Gabriel, Santos-Ortega, Alba, Miranda, Berta, Pérez-Rodon, Jordi, Ribera-Solé, Aida, Burcet-Rodriguez, Gemma, Roses-Noguer, Ferran, Gordon, Blanca, Rodríguez-Palomares, Jose, Ferreira-González, Ignacio
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.11.2021
• Subjects: Adult; Algorithms; Cardiac magnetic resonance; Congenital heart disease; Contrast Media; Electroanatomic mapping; Epicardial Mapping; Female; High-density mapping; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging, Cine - methods; Male; Middle Aged; Organometallic Compounds; Tetralogy of Fallot; Tetralogy of Fallot - diagnostic imaging; Tetralogy of Fallot - surgery; Ventricular Dysfunction, Right - diagnostic imaging; Ventricular tachycardia ablation; Tetralogy of Fallot; Ventricular tachycardia ablation; Congenital heart disease; High-density mapping; Cardiac magnetic resonance; Electroanatomic mapping
• ISSN: 1547-5271; 1556-3871
• DOI: 10.1016/j.hrthm.2021.05.032

Three-dimensional (3D) substrate characterization by high-resolution late gadolinium enhancement cardiac magnetic resonance (LE-CMR) is useful for guiding ventricular tachycardia ablation of the left ventricle in ischemic heart disease. The purpose of this study was to validate the substrate characterization and 3D reconstruction of LE-CMR images of the right ventricle (RV) in patients with repaired tetralogy of Fallot (rTOF) and to identify the algorithm that best fits with electroanatomic mapping (EAM). RV LE-CMR images were compared with RV EAM in 10 patients with rTOF. RV LE-CMR images were postprocessed and analyzed to identify fibrotic tissue on 3D color maps. The 3D RV substrate reconstructions were created using an adjustable percentage of the maximum voxel signal intensity (MSI) of the scar region to define the threshold between core, transitional zone (TZ), and healthy tissue. Extensions of the core and TZ areas were compared with the scar (<0.5 mV) and low-voltage (0.5–1.5 mV) areas obtained by RV EAM. Agreement on anatomic isthmi identification was quantified. The best match between core and scar was obtained at 65% MSI cutoff (mean areas 17.4 ± 9.9 cm2 vs 16.9 ± 10.0 cm2, respectively; r = 0.954; P <.001). Agreement on anatomic isthmi identification was best at 60% MSI cutoff, which identified 95% of isthmi and achieved a total fit in 90% of patients. This study demonstrates that characterization of the RV substrate by postprocessing LE-CMR images in rTOF patients is feasible and validates the technique against RV EAM, which could help in planning target ablation.