Volume 45 Issue 8
Aug.  2024
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Wei GAO, Wei CHEN, Yu WANG, Tianfu QI, lingjiao WU, Zhiming LI, Wei ZHAO. Predictive Value of CMR Layer-Specific Longitudinal Strain for Endocardial LGE in Hypertrophic Cardiomyopathy[J]. Journal of Kunming Medical University, 2024, 45(8): 58-66. doi: 10.12259/j.issn.2095-610X.S20240809
Citation: Wei GAO, Wei CHEN, Yu WANG, Tianfu QI, lingjiao WU, Zhiming LI, Wei ZHAO. Predictive Value of CMR Layer-Specific Longitudinal Strain for Endocardial LGE in Hypertrophic Cardiomyopathy[J]. Journal of Kunming Medical University, 2024, 45(8): 58-66. doi: 10.12259/j.issn.2095-610X.S20240809

Predictive Value of CMR Layer-Specific Longitudinal Strain for Endocardial LGE in Hypertrophic Cardiomyopathy

doi: 10.12259/j.issn.2095-610X.S20240809
  • Received Date: 2024-04-09
    Available Online: 2024-07-09
  • Publish Date: 2024-08-05
  •   Objective   This study aims to evaluate the left ventricular myocardial function in HCM patients with or without subendocardial LGE by cardiac magnetic resonance (CMR) layer-specific strain technology and to explore the factors for predicting subendocardial LGE in HCM patients.   Methods  A retrospective study was conducted on 61 patients with HCM who underwent CMR imaging at the First Affiliated Hospital of Kunming Medical University from January 2017 to September 2020, with 49 healthy controls matched for age and gender. The HCM patients were divided into a group without subendocardial LGE (G1 group, n = 40) and a group with subendocardial LGE (G2 group, n = 21). CMR-based feature tracking was used to obtain global longitudinal strain (GLS) and endocardial longitudinal strain (endoLS) of the left ventricular myocardium. Differences in cardiac structure, function, and strain parameters among the three groups were compared. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for subendocardial LGE in HCM patients, and the predictive performance was assessed using receiver operating characteristic (ROC) curve.   Results  GLS and endoLS were significantly lower in G2 than those in G1 and control group (GLS: -10.57%±2.56%(G2)Vs. -12.53%±2.49%(G1)Vs. -17.35%±1.77%(controls), endoLS: -10.35%±2.47%(G2)Vs. -13.60%±2.52%(G1)Vs. -18.58%±1.86% (controls), all P < 0.001). Multivariate Logistic regression analysis showed that endoLS was an independent risk factor for subendocardial LGE in HCM patients (OR = 1.696, P = 0.001). The area under the curve (AUC) for predicting subendocardial LGE was 0.852, the cutoff value was -11.87%, the sensitivity was 81.0% and the specificity was 85.0%.   Conclusion  CMR-layered strain index endoLS can identify early dysfunction of the endocardium in HCM patients, and may be an ideal predictor for the occurrence of endocardial LGE in HCM patients.
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