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新型 QCA 方法学和血管造影评分。

Novel QCA methodologies and angiographic scores.

机构信息

Columbia University Medical Center, New York, NY, USA.

出版信息

Int J Cardiovasc Imaging. 2011 Feb;27(2):157-65. doi: 10.1007/s10554-010-9787-9. Epub 2011 Feb 20.

DOI:10.1007/s10554-010-9787-9
PMID:21337026
Abstract

Coronary angiography remains the gold-standard method for evaluating coronary artery disease and interventional treatments. As percutaneous coronary interventions have advanced, quantitative coronary angiography (QCA) techniques have also evolved in order to provide more accurate assessments of these therapies. Improvements have been made at each step of the QCA process from image acquisition to vessel analysis. In addition, multiple scoring systems have been developed in order to utilize QCA data, both alone and in conjunction with clinical factors, to better stratify patient risk. This article will review the recent advancements in QCA techniques and outcome prediction models.

摘要

冠状动脉造影仍然是评估冠状动脉疾病和介入治疗的金标准方法。随着经皮冠状动脉介入治疗的进步,定量冠状动脉造影(QCA)技术也在不断发展,以便更准确地评估这些治疗方法。从图像采集到血管分析,QCA 过程的每一步都有所改进。此外,已经开发出多种评分系统,以便单独使用和结合临床因素使用 QCA 数据,从而更好地对患者风险进行分层。本文将回顾 QCA 技术和结果预测模型的最新进展。

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本文引用的文献

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Clinical and angiographic predictors of short- and long-term ischemic events in acute coronary syndromes: results from the Acute Catheterization and Urgent Intervention Triage strategY (ACUITY) trial.急性冠脉综合征中短期和长期缺血事件的临床和血管造影预测因素:来自急性导管插入和紧急介入治疗策略(ACUITY)试验的结果。
Circ Cardiovasc Interv. 2010 Aug;3(4):308-16. doi: 10.1161/CIRCINTERVENTIONS.109.887604. Epub 2010 Jul 20.
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A new tool for the risk stratification of patients with complex coronary artery disease: the Clinical SYNTAX Score.一种用于复杂冠状动脉疾病患者风险分层的新工具:临床 SYNTAX 评分。
Circ Cardiovasc Interv. 2010 Aug;3(4):317-26. doi: 10.1161/CIRCINTERVENTIONS.109.914051. Epub 2010 Jul 20.
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使用CZT相机的心肌灌注图像对定量冠状动脉造影值进行深度学习预测。
J Nucl Cardiol. 2023 Feb;30(1):116-126. doi: 10.1007/s12350-022-02995-6. Epub 2022 May 24.
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Stent visualization methods to guide percutaneous coronary interventions and assess long-term patency.用于指导经皮冠状动脉介入治疗并评估长期通畅性的支架可视化方法。
World J Cardiol. 2021 Sep 26;13(9):416-437. doi: 10.4330/wjc.v13.i9.416.
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Applying Deep Neural Networks over Homomorphic Encrypted Medical Data.基于同态加密的医学数据的深度神经网络应用。
Comput Math Methods Med. 2020 Apr 9;2020:3910250. doi: 10.1155/2020/3910250. eCollection 2020.
6
Impact of Coronary Artery Disease Severity Assessed With the SYNTAX Score on Outcomes Following Transcatheter Aortic Valve Replacement.用SYNTAX评分评估的冠状动脉疾病严重程度对经导管主动脉瓣置换术后结局的影响。
J Am Heart Assoc. 2017 Feb 20;6(2):e005070. doi: 10.1161/JAHA.116.005070.
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Comparison between the NERS (New Risk Stratification) score and the SYNTAX (Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery) score in outcome prediction for unprotected left main stenting.
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JACC Cardiovasc Interv. 2010 Jun;3(6):632-41. doi: 10.1016/j.jcin.2010.04.006.
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Usefulness of the SYNTAX score for predicting clinical outcome after percutaneous coronary intervention of unprotected left main coronary artery disease.SYNTAX 评分在预测无保护左主干冠状动脉疾病经皮冠状动脉介入治疗后临床转归中的作用。
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