MRI-derived wall thickness heterogeneity in hypertrophic cardiomyopathy and in carriers of sarcomeric gene mutations.
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Aquaro Giovanni Donato, Licordari Roberto, Todiere Giancarlo, Ianni Umberto, De Gori Carmelo, Merlo Marco, Barison Andrea, De Luca Antonio, Grigoratos Crysanthos, Raimondi Francesca, Ait-Ali Lamia, Festa Pierluigi, Negri Francesco, Bianco Francesco, Ricci Fabrizio, Botto Nicoletta, Taddei Lapo, Alberti Mattia, Italiano Andrea, Gargani Luna, Faggioni Lorenzo, Cioni Dania, Lencioni Riccardo, Emdin Michele, Neri Emanuele, Sinagra Gianfranco, De Caterina Raffaele, Di Bella Gianluca
Аннотация
OBJECTIVES: To determine whether wall thickness standard deviation (WTSD), reflecting WT heterogeneity, improves identification of HCM and mutation carriers.
METHODS AND RESULTS: Cardiac magnetic resonance was performed in 382 healthy controls, 297 patients with HCM, 82 sarcomere mutation carriers without overt hypertrophy, and 180 patients with other cardiac conditions (75 with and 105 without LV hypertrophy). End-diastolic WT was measured in 16 myocardial segments, and WTSD was computed. Diagnostic performance was compared with other WT-derived parameters using age- and sex-specific thresholds. WTSD was higher in HCM (4.3 ± 1.1 mm) and mutation carriers (2.3 ± 0.3 mm) than in controls (1.3 ± 0.3 mm; P < 0.0001). WTSD identified 97% of HCM and 64% of carriers with 99% specificity. In females, WTSD achieved 98.9% sensitivity and 100% specificity for HCM and detected 74% of carriers. WTSD outperformed demographic-based thresholds and BSA-indexed maximal WT in all subgroups. Mutation carriers showed heterogeneous remodelling with both hypertrophic and thinned segments despite normal absolute WT. WTSD was significantly higher in HCM than in all cardiac conditions with LV hypertrophy and in mutation carriers vs. non-hypertrophic conditions, except post-ischaemic severe LV dysfunction.
CONCLUSION: WTSD is a robust imaging biomarker that detects both overt and early sarcomeric HCM with high accuracy. Incorporating WT heterogeneity into diagnostic algorithms may enhance early identification, especially in women and mutation carriers.