解读心脏MR厚心肌:放射科医生的实用指南。

IF 0.6
Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI:10.3348/jksr.2025.0130
Moon Young Kim, Hyun Jung Koo, Eun Ju Chun, Whal Lee
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引用次数: 0

摘要

心脏MR (CMR)成像通过对心肌形态和组织特征的全面评估,在厚心肌的鉴别诊断中起着核心作用。电影成像有助于评估肥厚的分布和对称性、心室腔大小和局灶性形态学异常。T1/T2定位和细胞外体积测量提供了心肌纤维化、炎症和浸润的定量评估,而晚期钆增强模式提供了疾病特异性组织损伤的定性可视化。应变分析提供了早期功能损伤的补充信息。在这篇综述中,我们提出了一种实用的基于cmr的方法来解释心肌壁厚增加,将壁厚增加作为初始成像发现。我们系统地区分真正的病理性肥大、压力相关性或生理性肥大和假性增厚。本文综述了肥厚性心肌病、代谢性和全身性疾病,包括心脏淀粉样变性、法布里病、尿毒症性心肌病、结节病和心肌炎的急性炎症期,以及高血压心脏病、主动脉瓣狭窄和运动员心脏,重点介绍了它们的病理生理学和特征性CMR特征。讨论了常见的诊断缺陷和一种适用于常规临床实践的逐步诊断算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interpreting a Thick Myocardium on Cardiac MR: A Practical Guide for Radiologists.

Cardiac MR (CMR) imaging plays a central role in the differential diagnosis of a thick myocardium by enabling a comprehensive assessment of myocardial morphology and tissue characteristics. Cine imaging is useful for assessing the distribution and symmetry of hypertrophy, ventricular cavity size, and focal morphological abnormalities. T1/T2 mapping and extracellular volume measurement provide a quantitative assessment of myocardial fibrosis, inflammation, and infiltration, whereas late gadolinium enhancement patterns offer qualitative visualization of disease-specific tissue injury. Strain analyses provide complementary information on early functional impairment. In this review, we propose a practical CMR-based approach for interpreting increased myocardial wall thickness using increased wall thickness as the initial imaging finding. We systematically distinguish true pathological hypertrophy from pressure-related or physiological hypertrophy, and pseudothickening. Hypertrophic cardiomyopathy, metabolic and systemic diseases, including cardiac amyloidosis, Fabry disease, uremic cardiomyopathy, and acute inflammatory phases of sarcoidosis and myocarditis, along with hypertensive heart disease, aortic stenosis, and athlete's heart, are reviewed with emphasis on their pathophysiology and characteristic CMR features. Common diagnostic pitfalls and a stepwise diagnostic algorithm applicable in routine clinical practice are also discussed.

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