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Int J Cardiovasc Imaging ; 40(4): 801-809, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38376720

ABSTRACT

Recently, a classification with four types of septal longitudinal strain patterns was described using echocardiography, suggesting a pathophysiological continuum of left bundle branch block (LBBB)-induced left ventricle (LV) remodeling. The aim of this study was to assess the feasibility of classifying these strain patterns using cardiovascular magnetic resonance (CMR), and to evaluate their association with LV remodeling and myocardial scar. Single center registry included LBBB patients with septal flash (SF) referred to CMR to assess the cause of LV systolic dysfunction. Semi-automated feature-tracking cardiac resonance (FT-CMR) was used to quantify myocardial strain and detect the four strain patterns. A total of 115 patients were studied (age 66 ± 11 years, 57% men, 28% with ischemic heart disease). In longitudinal strain analysis, 23 patients (20%) were classified in stage LBBB-1, 37 (32.1%) in LBBB-2, 25 (21.7%) in LBBB-3, and 30 (26%) in LBBB-4. Patients at higher stages had more prominent septal flash, higher LV volumes, lower LV ejection fraction, and lower absolute strain values (p < 0.05 for all). Late gadolinium enhancement (LGE) was found in 55% of the patients (n = 63). No differences were found between the strain patterns regarding the presence, distribution or location of LGE. Among patients with LBBB, there was a good association between strain patterns assessed by FT-CMR analysis and the degree of LV remodeling and LV dysfunction. This association seems to be independent from the presence and distribution of LGE.


Subject(s)
Bundle-Branch Block , Feasibility Studies , Magnetic Resonance Imaging, Cine , Predictive Value of Tests , Registries , Ventricular Function, Left , Ventricular Remodeling , Humans , Male , Female , Bundle-Branch Block/physiopathology , Bundle-Branch Block/diagnostic imaging , Aged , Middle Aged , Myocardial Contraction , Ventricular Dysfunction, Left/physiopathology , Ventricular Dysfunction, Left/diagnostic imaging , Stroke Volume , Reproducibility of Results , Biomechanical Phenomena , Image Interpretation, Computer-Assisted , Fibrosis , Retrospective Studies
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