计算机断层血管造影术中基于机器学习的缺血预测：迈向稳定冠心病无创一站式诊断的前景？ - Suppr

Machine Learning for Ischemia Prediction in CTA: Perspective Toward the Noninvasive One-Stop Shop for Stable CAD?

作者信息

Hadamitzky Martin

机构信息

Institut für Radiologie und Nuklearmedizin, Deutsches Herzzentrum München, Klinik an der Technischen Universität München, Munich, Germany.

出版信息

JACC Cardiovasc Imaging. 2021 Mar;14(3):642-643. doi: 10.1016/j.jcmg.2020.09.005. Epub 2020 Nov 25.

DOI:10.1016/j.jcmg.2020.09.005

PMID:33248956

Abstract

摘要

相似文献

Machine Learning for Ischemia Prediction in CTA: Perspective Toward the Noninvasive One-Stop Shop for Stable CAD?

JACC Cardiovasc Imaging. 2021 Mar;14(3):642-643. doi: 10.1016/j.jcmg.2020.09.005. Epub 2020 Nov 25.

Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.

Eur Radiol. 2019 May;29(5):2378-2387. doi: 10.1007/s00330-018-5834-z. Epub 2018 Dec 6.

Rationale and design of the DeFACTO (Determination of Fractional Flow Reserve by Anatomic Computed Tomographic AngiOgraphy) study.

J Cardiovasc Comput Tomogr. 2011 Sep-Oct;5(5):301-9. doi: 10.1016/j.jcct.2011.08.003. Epub 2011 Aug 7.

CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning.

JACC Cardiovasc Imaging. 2021 Mar;14(3):629-641. doi: 10.1016/j.jcmg.2020.08.025. Epub 2020 Nov 25.

On-Site Computed Tomography-Derived Fractional Flow Reserve Using a Machine-Learning Algorithm　- Clinical Effectiveness in a Retrospective Multicenter Cohort.

Circ J. 2019 Jun 25;83(7):1563-1571. doi: 10.1253/circj.CJ-19-0163. Epub 2019 Jun 8.

CT Angiography for the Prediction of Hemodynamic Significance in Intermediate and Severe Lesions: Head-to-Head Comparison With Quantitative Coronary Angiography Using Fractional Flow Reserve as the Reference Standard.

JACC Cardiovasc Imaging. 2016 May;9(5):559-64. doi: 10.1016/j.jcmg.2015.08.021. Epub 2016 Feb 17.

CT Assessment of Myocardial Perfusion and Fractional Flow Reserve.

Prog Cardiovasc Dis. 2015 May-Jun;57(6):623-31. doi: 10.1016/j.pcad.2015.03.003. Epub 2015 Mar 12.

Low-dose CT perfusion with combined use of CTP and CTP-derived coronary CT angiography at 70 kVp: validation with invasive fractional flow reserve.

Eur Radiol. 2021 Feb;31(2):1119-1129. doi: 10.1007/s00330-020-07096-x. Epub 2020 Aug 18.

Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

Eur Radiol. 2018 Jun;28(6):2655-2664. doi: 10.1007/s00330-017-5223-z. Epub 2018 Jan 19.

Evaluation of Significant Coronary Artery Disease Based on CT Fractional Flow Reserve and Plaque Characteristics Using Random Forest Analysis in Machine Learning.

Acad Radiol. 2020 Dec;27(12):1700-1708. doi: 10.1016/j.acra.2019.12.013. Epub 2020 Feb 10.

引用本文的文献

Osteopontin targeted theranostic nanoprobes for laser-induced synergistic regression of vulnerable atherosclerotic plaques.

Acta Pharm Sin B. 2022 Apr;12(4):2014-2028. doi: 10.1016/j.apsb.2021.12.020. Epub 2021 Dec 31.

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型，支持多种主流文档格式。

立即体验

Machine Learning for Ischemia Prediction in CTA: Perspective Toward the Noninvasive One-Stop Shop for Stable CAD?

作者信息

机构信息

出版信息

相似文献

引用本文的文献

文献AI研究员

用中文搜PubMed

文档翻译

Suppr 超能文献

相似文献

引用本文的文献