Editorial: Multimodality imaging in the assessment of ischemic chronic coronary syndrome.
作者信息
Muscogiuri Giuseppe, Guglielmo Marco
机构信息
Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, Milan, Italy.
School of Medicine, University of Milano-Bicocca, Milan, Italy.
出版信息
Front Cardiovasc Med. 2023 Apr 11;10:1146050. doi: 10.3389/fcvm.2023.1146050. eCollection 2023.
Abstract
摘要
相似文献
1
Editorial: Multimodality imaging in the assessment of ischemic chronic coronary syndrome.社论：缺血性慢性冠状动脉综合征评估中的多模态成像
Front Cardiovasc Med. 2023 Apr 11;10:1146050. doi: 10.3389/fcvm.2023.1146050. eCollection 2023.
2
Editorial: Multimodality imaging of left ventricular assist devices: applications in advanced heart failure.社论：左心室辅助装置的多模态成像：在晚期心力衰竭中的应用
Front Cardiovasc Med. 2023 Sep 28;10:1277563. doi: 10.3389/fcvm.2023.1277563. eCollection 2023.
3
The chronic coronary syndrome-Heart failure roundabout: A multimodality imaging workflow approach.慢性冠状动脉综合征-心力衰竭的循环路径：一种多模态成像工作流程方法。
Front Cardiovasc Med. 2022 Nov 22;9:1019529. doi: 10.3389/fcvm.2022.1019529. eCollection 2022.
4
Multimodality Imaging in Ischemic Chronic Cardiomyopathy.缺血性慢性心肌病的多模态成像
J Imaging. 2022 Feb 1;8(2):35. doi: 10.3390/jimaging8020035.
5
Validation of dynamic 3-dimensional whole heart magnetic resonance myocardial perfusion imaging against fractional flow reserve for the detection of significant coronary artery disease.动态 3 维全心脏磁共振心肌灌注成像与血流储备分数检测用于诊断显著冠状动脉疾病的验证。
J Am Coll Cardiol. 2012 Aug 21;60(8):756-65. doi: 10.1016/j.jacc.2012.02.075. Epub 2012 Jul 18.
6
Usefulness of late gadolinium enhancement MRI combined with stress imaging in predictive significant coronary stenosis in new-diagnosed left ventricular dysfunction.延迟钆增强磁共振成像联合负荷成像在预测新诊断左心室功能不全患者显著冠状动脉狭窄中的应用价值
Int J Cardiol. 2016 Dec 1;224:337-342. doi: 10.1016/j.ijcard.2016.09.039. Epub 2016 Sep 19.
7
Fusion of CT coronary angiography and whole-heart dynamic 3D cardiac MR perfusion: building a framework for comprehensive cardiac imaging.CT冠状动脉造影与全心动态3D心脏磁共振灌注成像的融合：构建综合心脏成像框架
Int J Cardiovasc Imaging. 2018 Apr;34(4):649-660. doi: 10.1007/s10554-017-1260-6. Epub 2017 Oct 28.
8
CAD detection in patients with intermediate-high pre-test probability: low-dose CT delayed enhancement detects ischemic myocardial scar with moderate accuracy but does not improve performance of a stress-rest CT perfusion protocol.在具有中高度预检测概率的患者中进行 CAD 检测：低剂量 CT 延迟增强以中等准确度检测缺血性心肌瘢痕，但不能提高负荷-静息 CT 灌注方案的性能。
JACC Cardiovasc Imaging. 2013 Oct;6(10):1062-1071. doi: 10.1016/j.jcmg.2013.04.013. Epub 2013 Sep 4.
9
10
Artificial Intelligence Based Multimodality Imaging: A New Frontier in Coronary Artery Disease Management.基于人工智能的多模态成像：冠状动脉疾病管理的新前沿。
Front Cardiovasc Med. 2021 Sep 22;8:736223. doi: 10.3389/fcvm.2021.736223. eCollection 2021.
本文引用的文献
1
Clinical implications of cardiac magnetic resonance imaging fibrosis.心脏磁共振成像纤维化的临床意义。
Eur Heart J Suppl. 2022 Nov 12;24(Suppl I):I123-I126. doi: 10.1093/eurheartjsupp/suac085. eCollection 2022 Nov.
2
Multimodality Imaging in Ischemic Chronic Cardiomyopathy.缺血性慢性心肌病的多模态成像
J Imaging. 2022 Feb 1;8(2):35. doi: 10.3390/jimaging8020035.
3
Cardiac Magnetic Resonance Tissue Characterization in Ischemic Cardiomyopathy.缺血性心肌病的心脏磁共振组织特征。
J Thorac Imaging. 2022 Jan 1;37(1):2-16. doi: 10.1097/RTI.0000000000000621.
4
Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm.基于 2D 多节段钆延迟增强（LGE）联合人工智能重建深度学习降噪算法评估缺血性心肌病 LGE 的可行性。
Int J Cardiol. 2021 Nov 15;343:164-170. doi: 10.1016/j.ijcard.2021.09.012. Epub 2021 Sep 10.
5
Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network.使用密集全卷积神经网络对心脏磁共振图像进行自动左右心室腔分割
Comput Methods Programs Biomed. 2021 Jun;204:106059. doi: 10.1016/j.cmpb.2021.106059. Epub 2021 Mar 21.
6
Epicardial fat and coronary artery disease: Role of cardiac imaging.心外膜脂肪与冠状动脉疾病：心脏影像学的作用。
Atherosclerosis. 2021 Mar;321:30-38. doi: 10.1016/j.atherosclerosis.2021.02.008. Epub 2021 Feb 16.
7
Artificial intelligence in cardiac radiology.人工智能在心脏放射学中的应用。
Radiol Med. 2020 Nov;125(11):1186-1199. doi: 10.1007/s11547-020-01277-w. Epub 2020 Sep 18.
8
The Prognostic Significance of Quantitative Myocardial Perfusion: An Artificial Intelligence-Based Approach Using Perfusion Mapping.定量心肌灌注的预后意义：基于灌注图的人工智能方法。
Circulation. 2020 Apr 21;141(16):1282-1291. doi: 10.1161/CIRCULATIONAHA.119.044666. Epub 2020 Feb 14.
9
2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes.2019年欧洲心脏病学会慢性冠状动脉综合征诊断和管理指南
Eur Heart J. 2020 Jan 14;41(3):407-477. doi: 10.1093/eurheartj/ehz425.
10
Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images.基于深度学习的CMR-LGE图像瘢痕分割策略的开发与测试
MAGMA. 2019 Apr;32(2):187-195. doi: 10.1007/s10334-018-0718-4. Epub 2018 Nov 20.
Zotero 插件