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Updated: Jul 14, 2025

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
Published on: June 11, 2019
Assessment of late gadolinium enhancement in hypertrophic cardiomyopathy improves risk stratification based on
Jiaxin Wang1, Shujuan Yang1, Xuan Ma1
1MR Center, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China.
Insights
The 2022 European Society of Cardiology (ESC) model improves sudden cardiac death (SCD) prediction in hypertrophic cardiomyopathy (HCM) patients. Late gadolinium enhancement (LGE) further refines risk stratification for implantable cardioverter defibrillator (ICD) candidacy.
Area of Science:
- Cardiology
- Medical Imaging
- Risk Stratification
Background:
- Identifying hypertrophic cardiomyopathy (HCM) patients at risk for sudden cardiac death (SCD) is critical for implantable cardioverter defibrillator (ICD) implantation.
- Current risk stratification models require external validation and refinement.
Purpose of the Study:
- To externally validate the 2022 European Society of Cardiology (ESC) model for SCD risk prediction in HCM.
- To compare the performance of the 2022 ESC model against previous guidelines and assess the utility of late gadolinium enhancement (LGE) for risk stratification.
Main Methods:
- Retrospective enrollment of 774 consecutive patients who underwent cardiac magnetic resonance imaging.
- Validation of multiple guideline-based ICD class of recommendation (ICD-COR) models, including the 2022 ESC model.
- Analysis of SCD events, ESC Risk-SCD scores, and LGE extent during a mean follow-up of 7.4 years.
Main Results:
- The 2022 ESC model demonstrated superior performance (C-statistic 0.78) compared to the 2014 ESC model (C-statistic 0.64) for SCD prediction.
- Late gadolinium enhancement (LGE) ≥5% significantly increased SCD risk (seven-fold) in patients without extensive LGE.
- Patients with LGE ≥5% and <15% showed significantly worse prognosis across ICD-COR II and III categories.
Conclusions:
- The 2022 ESC model offers improved sensitivity and accuracy for SCD risk prediction in HCM patients compared to the 2014 ESC model.
- Late gadolinium enhancement (LGE) provides valuable additional information for refining risk stratification and guiding ICD implantation decisions in HCM.
Background And Aims:
Identifying patients with hypertrophic cardiomyopathy (HCM) who are candidates for implantable cardioverter defibrillator (ICD) implantation in primary prevention for sudden cardiac death (SCD) is crucial. The aim of this study was to externally validate the 2022 European Society of Cardiology (ESC) model and other guideline-based ICD class of recommendation (ICD-COR) models and explore the utility of late gadolinium enhancement (LGE) in further risk stratification.
Methods:
Seven hundred and seventy-four consecutive patients who underwent cardiac magnetic resonance imaging were retrospectively enrolled.
Results:
Forty-six (5.9%) patients reached the SCD-related endpoint during 7.4 ± 2.5 years of follow-up. Patients suffering from SCD had higher ESC Risk-SCD score (4.3 ± 2.4% vs. 2.8 ± 2.1%, P < .001) and LGE extent (13.7 ± 9.4% vs. 4.9 ± 6.6%, P < .001). Compared with the 2014 ESC model, the 2022 ESC model showed increased area under the curve (.76 vs. .63), sensitivity (76.1% vs. 43.5%), positive predictive value (16.8% vs. 13.6%), and negative predictive value (98.1% vs. 95.9%). The C-statistics for SCD prediction of 2011 American College of Cardiology (ACC)/American Heart Association (AHA), 2014 ESC, 2020 AHA/ACC, and 2022 ESC models were .68, .64, .76 and .78, respectively. Furthermore, in patients without extensive LGE, LGE ≥5% was responsible for seven-fold SCD risk after multivariable adjustment. Whether in ICD-COR II or ICD-COR III, patients with LGE ≥5% and <15% showed significantly worse prognosis than those with LGE <5% (all P < .001).
Conclusions:
The 2022 ESC model performed better than the 2014 ESC model with especially improved sensitivity. LGE enabled further risk stratification based on current guidelines.
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