[1]甘宏博 高电萨 左中.心脏磁共振特征追踪技术评估心脏功能的应用价值[J].心血管病学进展,2022,(4):326-330.[doi:10.16806/j.cnki.issn.1004-3934.2022.04.010]
 GAN HongboGAO DiansaZUO Zhong?/html>.The Value of Cardiac Magnetic Resonance Feature Tracing in?valuating Cardiac Function[J].Advances in Cardiovascular Diseases,2022,(4):326-330.[doi:10.16806/j.cnki.issn.1004-3934.2022.04.010]
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《心血管病学进展》[ISSN:51-1187/R/CN:1004-3934]

卷:
期数:
2022年4期
页码:
326-330
栏目:
综述
出版日期:
2022-04-25

文章信息/Info

Title:
The Value of Cardiac Magnetic Resonance Feature Tracing in?valuating Cardiac Function
作者:
甘宏博 高电萨 左中
(重庆医科大学附属第一医院心血管内科,重庆 400016)
Author(s):
GAN HongboGAO DiansaZUO Zhong?/html>
(The First Affiliated Hospital of Chongqing Medical University,Chongqing 400016,China)
关键词:
心脏功能磁共振成像心肌应变特征追踪心血管疾病
Keywords:
Cardiac functionMagnetic resonance imagingMyocardial strainFeature trackingCardiovascular disease
DOI:
10.16806/j.cnki.issn.1004-3934.2022.04.010
摘要:
心脏磁共振特征追踪(CMR-FT)技术是在心脏磁共振电影序列图像基础上,无创测量心肌应变参数的一种新技术。CMR-FT技术通过定量评估心肌局部和整体的功能,能在亚临床水平发现心肌受损,为疾病早期诊断、风险分层及预后判断提供新途径。目前CMR-FT技术在心肌应变方向的研究发展迅速,已成为心脏磁共振技术中的研究热点。现就CMR-FT技术在评估心脏功能方面的应用价值进行综述。
Abstract:
Cardiac magnetic resonance feature tracking (CMR-FT) is a new noninvasive method to measure myocardial strain parameters based on cardiac magnetic resonance cine sequence images. By quantitatively evaluating the segmental and global function of the myocardium,CMR-FT can detect myocardial damage at the subclinical level,which provides a new way for early diagnosis,risk stratification and prognosis judgment of the disease. At present,CMR-FT develops rapidly in the research of myocardial strain,and has become a research hotspot in cardiac magnetic resonance (CMR) technology. This paper reviews the application value of CMR-FT in the evaluation of cardiac function.

参考文献/References:

[1] Arnold JR,McCann GP. Cardiovascular magnetic resonance:applications and practical considerations for the general cardiologist[J]. Heart,2020,106(3):174-181.

[2] Schuster A,Hor KN,Kowallick JT,et al. Cardiovascular magnetic resonance myocardial feature tracking:concepts and clinical applications[J]. Circ Cardiovasc Imaging,2016,9(4):e004077.

[3] Claus P,Omar AMS,Pedrizzetti G,et al. Tissue tracking technology for assessing cardiac mechanics:principles,normal values,and clinical applications[J]. JACC Cardiovasc Imaging,2015,8(12):1444-1460.

[4] Cikes M,Solomon SD. Beyond ejection fraction:an integrative approach for assessment of cardiac structure and function in heart failure[J]. Eur Heart J,2016,37(21):1642-1650.

[5] Schneeweis C,Qiu J,Schnackenburg B,et al. Value of additional strain analysis with feature tracking in dobutamine stress cardiovascular magnetic resonance for detecting coronary artery disease[J]. J Cardiovasc Magn Reson,2014,16(1):72.

[6] Nucifora G,Muser D,Tioni C,et al. Prognostic value of myocardial deformation imaging by cardiac magnetic resonance feature-tracking in patients with a first ST-segment elevation myocardial infarction[J]. Int J Cardiol,2018,271:387-391.

[7] Eitel I,Stiermaier T,Lange T,et al. Cardiac magnetic resonance myocardial feature tracking for optimized prediction of cardiovascular events following myocardial infarction[J]. JACC Cardiovasc Imaging,2018,11(10):1433-1444.

[8] Romano S,Judd RM,Kim RJ,et al. Feature-tracking global longitudinal strain predicts death in a multicenter population of patients with ischemic and nonischemic dilated cardiomyopathy incremental to ejection fraction and late gadolinium enhancement[J]. JACC Cardiovasc Imaging,2018,11(10):1419-1429.

[9] Buss SJ,Breuninger K,Lehrke S,et al. Assessment of myocardial deformation with cardiac magnetic resonance strain imaging improves risk stratification in patients with dilated cardiomyopathy[J]. Eur Heart J Cardiovasc Imaging,2015,16(3):307-315.

[10]Vigneault DM,Yang E,Jensen PJ,et al. Left ventricular strain is abnormal in preclinical and overt hypertrophic cardiomyopathy:cardiac MR feature tracking[J]. Radiology,2019,290(3):640-648.

[11]Srivastava S,Yavari M,Al-Abcha A,et al. Ventricular non-compaction review[J]. Heart Fail Rev,2021 Jul 7.DOI:10.1007/s10741-021-10128-3.Online ahead of print.

[12]Weir-McCall JR,Yeap PM,Papagiorcopulo C,et al. Left ventricular noncompaction:anatomical phenotype or distinct cardiomyopathy?[J]. J Am Coll Cardiol,2016,68(20):2157-2165.

[13]Dreisbach JG,Mathur S,Houbois CP,et al. Cardiovascular magnetic resonance based diagnosis of left ventricular non-compaction cardiomyopathy:impact of cine bSSFP strain analysis[J]. J Cardiovasc Magn Reson,2020,22(1):9.

[14]Gastl M,Gotschy A,Polacin M,et al. Determinants of myocardial function characterized by CMR-derived strain parameters in left ventricular non-compaction cardiomyopathy[J]. Sci Rep,2019,9(1):15882.

[15]Prati G,Vitrella G,Allocca G,et al. Right ventricular strain and dyssynchrony assessment in arrhythmogenic right ventricular cardiomyopathy:cardiac magnetic resonance feature-tracking study[J]. Circ Cardiovasc Imaging,2015,8(11):e003647.

[16]Moon TJ,Choueiter N,Geva T,et al. Relation of biventricular strain and dyssynchrony in repaired tetralogy of fallot measured by cardiac magnetic resonance to death and sustained ventricular tachycardia[J]. Am J Cardiol,2015,115(5):676-680.

[17]Orwat S,Diller GP,Kempny A,et al. Myocardial deformation parameters predict outcome in patients with repaired tetralogy of Fallot[J]. Heart,2016,102(3):209-215.

[18]Meyer SL,Ridderbos FS,Wolff D,et al. Serial cardiovascular magnetic resonance feature tracking indicates early worsening of cardiac function in Fontan patients[J]. Int J Cardiol,2020,303:23-29.

[19]Ishizaki U,Nagao M,Shiina Y,et al. Global strain and dyssynchrony of the single ventricle predict adverse cardiac events after the Fontan procedure:analysis using feature-tracking cine magnetic resonance imaging[J]. J Cardiol,2019,73(2):163-170.

[20]Lin ACW,Seale H,Hamilton-Craig C,et al. Quantification of biventricular strain and assessment of ventriculo-ventricular interaction in pulmonary arterial hypertension using exercise cardiac magnetic resonance imaging and myocardial feature tracking[J]. J Magn Reson Imaging,2019,49(5):1427-1436.

[21]de Siqueira ME,Pozo E,Fernandes VR,et al. Characterization and clinical significance of right ventricular mechanics in pulmonary hypertension evaluated with cardiovascular magnetic resonance feature tracking[J]. J Cardiovasc Magn Reson,2016,18(1):39.

[22]Sturgeon KM,Deng L,Bluethmann SM,et al. A population-based study of cardiovascular disease mortality risk in US cancer patients[J].?Eur Heart J,2019,40(48):3889-3897.

[23]Gong IY,Ong G,Brezden-Masley C,et al. Early diastolic strain rate measurements by cardiac MRI in breast cancer patients treated with trastuzumab:a longitudinal study[J]. Int J Cardiovasc Imaging,2019,35(4):653-662.

[24]Lunning MA,Kutty S,Rome ET,et al. Cardiac magnetic resonance imaging for the assessment of the myocardium after doxorubicin-based chemotherapy[J]. Am J Clin Oncol,2015,38(4):377-381.

[25]Higgins AY,Arbune A,Soufer A,et al. Left ventricular myocardial strain and tissue characterization by cardiac magnetic resonance imaging in immune checkpoint inhibitor associated cardiotoxicity[J]. PLoS One,2021,16(2):e0246764.

[26]Evin M,Cluzel P,Lamy J,et al. Assessment of left atrial function by MRI myocardial feature tracking[J]. J Magn Reson Imaging,2015,42(2):379-389.

[27]Truong VT,Palmer C,Wolking S,et al. Normal left atrial strain and strain rate using cardiac magnetic resonance feature tracking in healthy volunteers[J].?Eur Heart J Cardiovasc Imaging,2020,21(4):446-453.

[28]Kowallick JT,Kutty S,Edelmann F,et al. Quantification of left atrial strain and strain rate using cardiovascular magnetic resonance myocardial feature tracking:a feasibility study[J]. J Cardiovasc Magn Reson,2014,16(1):60.

[29]杨映霞,汪芳,尹刚,等. 基于心脏磁共振特征追踪技术的中国正常人左心房功能的定量研究[J]. 第二军医大学学报,2019,40(3):250-256.

[30]Yang Y,Yin G,Jiang Y,et al. Quantification of left atrial function in patients with non-obstructive hypertrophic cardiomyopathy by cardiovascular magnetic resonance feature tracking imaging:a feasibility and reproducibility study[J]. J Cardiovasc Magn Reson,2020,22(1):1.

[31]Hinojar R,Zamorano JL,Fernández-Méndez M,et al. Prognostic value of left atrial function by cardiovascular magnetic resonance feature tracking in hypertrophic cardiomyopathy[J]. Int J Cardiovasc Imaging,2019,35(6):1055-1065.

[32]Li L,Chen X,Yin G,et al. Early detection of left atrial dysfunction assessed by CMR feature tracking in hypertensive patients[J]. Eur Radiol,2020,30(2):702-711.

[33]Backhaus SJ,Stiermaier T,Lange T,et al. Atrial mechanics and their prognostic impact in Takotsubo syndrome:a cardiovascular magnetic resonance imaging study[J]. Eur Heart J Cardiovasc Imaging,2019,20(9):1059-1069.

[34]李志伟,丛利芙,马晓海,等. MR特征追踪技术评价心房颤动患者左心房功能的初步研究[J]. 中华放射学杂志,2017,51(9):682-688.

[35]Chirinos JA,Sardana M,Ansari B,et al. Left atrial phasic function by cardiac magnetic resonance feature tracking is a strong predictor of incident cardiovascular events[J]. Circ Cardiovasc Imaging,2018,11(12):e007512.

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更新日期/Last Update: 2022-05-13