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CT冠状动脉斑块评估的影响因素及改进方法

Influencing factors and improvement methods of coronary artery plaque evaluation in CT.

作者信息

Gao Yaqi, Pan Yao, Jia Chongfu

机构信息

Department of Cardiovascular Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

出版信息

Front Cardiovasc Med. 2024 Jun 25;11:1395350. doi: 10.3389/fcvm.2024.1395350. eCollection 2024.

DOI:10.3389/fcvm.2024.1395350
PMID:38984352
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11232181/
Abstract

Accurate evaluation of the nature and composition of coronary plaque involves clinical follow-up and prognosis. Coronary CT angiography is the most commonly non-invasive method for plaque evaluation, however, the qualitative and quantitative evaluation of plaque based on CT value is inaccurate, due to the influence of luminal attenuation, tube voltage, parameter setting and the subjectivity.

摘要

准确评估冠状动脉斑块的性质和成分涉及临床随访及预后。冠状动脉CT血管造影是最常用的无创斑块评估方法，然而，由于管腔衰减、管电压、参数设置及主观性的影响，基于CT值对斑块进行定性和定量评估并不准确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5983/11232181/61e609bbf5f8/fcvm-11-1395350-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5983/11232181/39d0c4104de6/fcvm-11-1395350-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5983/11232181/61e609bbf5f8/fcvm-11-1395350-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5983/11232181/39d0c4104de6/fcvm-11-1395350-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5983/11232181/61e609bbf5f8/fcvm-11-1395350-g002.jpg

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1
Influencing factors and improvement methods of coronary artery plaque evaluation in CT.CT冠状动脉斑块评估的影响因素及改进方法
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本文引用的文献

1
Pericoronary Adipose Tissue Attenuation in Patients With Acute Coronary Syndrome Versus Stable Coronary Artery Disease.急性冠状动脉综合征与稳定型冠状动脉疾病患者的冠状动脉旁脂肪组织衰减。
Circ Cardiovasc Imaging. 2023 Feb;16(2):e014672. doi: 10.1161/CIRCIMAGING.122.014672. Epub 2023 Feb 3.
2
Non-Invasive Modalities in the Assessment of Vulnerable Coronary Atherosclerotic Plaques.非侵入性方式评估易损性冠状动脉粥样斑块。
Tomography. 2022 Jul 6;8(4):1742-1758. doi: 10.3390/tomography8040147.
3
Marked variation in atherosclerotic plaque progression between the major epicardial coronary arteries.
主要心外膜冠状动脉之间动脉粥样硬化斑块进展存在明显差异。
Eur Heart J Cardiovasc Imaging. 2022 Oct 20;23(11):1482-1491. doi: 10.1093/ehjci/jeac044.
4
Determinants of Non-calcified Low-Attenuation Coronary Plaque Burden in Patients Without Known Coronary Artery Disease: A Coronary CT Angiography Study.无已知冠状动脉疾病患者非钙化低衰减冠状动脉斑块负荷的决定因素：一项冠状动脉CT血管造影研究
Front Cardiovasc Med. 2022 Apr 7;9:824470. doi: 10.3389/fcvm.2022.824470. eCollection 2022.
5
Synergizing Light and Machine Learning to Comprehensively Reveal Coronary Plaque Composition.光与机器学习协同作用以全面揭示冠状动脉斑块成分。
JACC Basic Transl Sci. 2021 Dec 27;6(12):961-963. doi: 10.1016/j.jacbts.2021.10.016. eCollection 2021 Dec.
6
Dual-energy CT: minimal essentials for radiologists.双能 CT：放射科医生必备知识。
Jpn J Radiol. 2022 Jun;40(6):547-559. doi: 10.1007/s11604-021-01233-2. Epub 2022 Jan 4.
7
Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography.深度学习图像重建降低冠状动脉 CT 血管造影的辐射剂量。
Eur Radiol. 2022 Apr;32(4):2620-2628. doi: 10.1007/s00330-021-08367-x. Epub 2021 Nov 18.
8
Association of Tube Voltage With Plaque Composition on Coronary CT Angiography: Results From PARADIGM Registry.冠状动脉CT血管造影中管电压与斑块成分的关联：来自PARADIGM注册研究的结果
JACC Cardiovasc Imaging. 2021 Dec;14(12):2429-2440. doi: 10.1016/j.jcmg.2021.07.011. Epub 2021 Aug 18.
9
Cardiovascular risk stratification by coronary computed tomography angiography imaging: current state-of-the-art.冠状动脉 CT 血管成像的心血管风险分层：最新技术现状。
Eur J Prev Cardiol. 2022 Mar 30;29(4):608-624. doi: 10.1093/eurjpc/zwab067.
10
JCS 2018 Guideline on Diagnosis of Chronic Coronary Heart Diseases.《日本循环学会2018年慢性冠状动脉疾病诊断指南》
Circ J. 2021 Mar 25;85(4):402-572. doi: 10.1253/circj.CJ-19-1131. Epub 2021 Feb 16.