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使用超声心动图、磁共振成像和心脏计算机断层扫描对左心室致密化不全与心肌致密化不全心肌病进行风险分层

Risk Stratification of Left Ventricle Hypertrabeculation Versus Non-Compaction Cardiomyopathy Using Echocardiography, Magnetic Resonance Imaging, and Cardiac Computed Tomography.

作者信息

Mirchuk Marianna

机构信息

Department of Radiation Diagnostics, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine.

Ukrainian-Polish Heart Center Lviv, Lviv, Ukraine.

出版信息

Echocardiography. 2025 May;42(5):e70165. doi: 10.1111/echo.70165.

DOI:10.1111/echo.70165
PMID:40309756
Abstract

Non-compaction cardiomyopathy (NCCM) is a rare, congenital form of cardiomyopathy characterized by excessive trabeculations in the left ventricle myocardium. NCCM is often an underdiagnosed heart condition characterized by abnormal myocardial trabeculations, which can lead to a wide range of clinical outcomes, from asymptomatic cases to severe heart failure and arrhythmias. It is often diagnosed using imaging techniques like echocardiography, cardiac magnetic resonance imaging (CMR), and cardiac computed tomography (CT), which help assess the heart's structure and function. Although echocardiography remains a key tool, CMR is a gold standard for left ventricle NCCM diagnosis, structural and functional assessment, accurate trabecular quantification, detects fibrosis with late gadolinium enhancement, superior in risk stratification for sudden cardiac death. CT has gained importance in diagnosing NCCM, especially in ruling out coronary artery disease and evaluating complications such as left ventricle thrombus. Accurate risk stratification is crucial for identifying high-risk patients and providing timely interventions. This review examined the contributions of echocardiography, CMR, and cardiac CT in diagnosing NCCM, assessing disease severity, and guiding treatment decisions. We highlighted the strengths and limitations of each imaging modality, discussing their ability to detect myocardial abnormalities, evaluate heart function, and identify fibrosis or other structural changes. We also emphasized integrating imaging findings with clinical and genetic data to enhance patient management and outcomes. Finally, we explored the potential future applications of artificial intelligence in improving diagnostic accuracy and refining risk assessment in NCCM.

摘要

非致密化型心肌病(NCCM)是一种罕见的先天性心肌病,其特征是左心室心肌小梁增多。NCCM常常是一种诊断不足的心脏疾病,其特征为心肌小梁异常,可导致从无症状病例到严重心力衰竭和心律失常等广泛的临床后果。它通常使用超声心动图、心脏磁共振成像(CMR)和心脏计算机断层扫描(CT)等成像技术进行诊断,这些技术有助于评估心脏的结构和功能。尽管超声心动图仍然是一项关键工具,但CMR是左心室NCCM诊断、结构和功能评估、小梁准确量化、通过延迟钆增强检测纤维化以及在心脏性猝死风险分层方面更具优势的金标准。CT在NCCM诊断中变得越来越重要,尤其是在排除冠状动脉疾病和评估诸如左心室血栓等并发症方面。准确的风险分层对于识别高危患者并提供及时干预至关重要。本综述探讨了超声心动图、CMR和心脏CT在诊断NCCM、评估疾病严重程度以及指导治疗决策方面的作用。我们强调了每种成像方式的优势和局限性,讨论了它们检测心肌异常、评估心脏功能以及识别纤维化或其他结构变化的能力。我们还强调将成像结果与临床和基因数据相结合以改善患者管理和预后。最后,我们探讨了人工智能在提高NCCM诊断准确性和完善风险评估方面的潜在未来应用。

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Risk Stratification of Left Ventricle Hypertrabeculation Versus Non-Compaction Cardiomyopathy Using Echocardiography, Magnetic Resonance Imaging, and Cardiac Computed Tomography.使用超声心动图、磁共振成像和心脏计算机断层扫描对左心室致密化不全与心肌致密化不全心肌病进行风险分层
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