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心脏 CT 测量心肌细胞外容积。

Myocardial extracellular volume measurement using cardiac computed tomography.

机构信息

Victorian Heart Institute, Monash University, 631 Blackburn Road, Clayton, VIC, 3168, Australia.

Victorian Heart Hospital, Monash Health, Clayton, VIC, Australia.

出版信息

Int J Cardiovasc Imaging. 2024 Nov;40(11):2237-2245. doi: 10.1007/s10554-024-03226-4. Epub 2024 Oct 14.

DOI:10.1007/s10554-024-03226-4
PMID:39400790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11561108/
Abstract

Myocardial fibrosis is a common endpoint of many cardiac diseases and increasingly recognized as a predictor of heart failure, arrhythmia, and death. Recent studies have utilised cardiac computed tomography (CT) scans with delayed phase imaging to quantify diffuse fibrosis of the myocardium. CT extracellular volume (CT-ECV) measurement correlates well with CMR and histological myocardial fibrosis. Furthermore, CT-ECV predicts outcomes such as death, heart failure and arrhythmia in various disease states. This review summarizes the rationale and methodology behind CT-ECV measurement and provides a detailed summary of the current clinical evidence for the use of CT-ECV.

摘要

心肌纤维化是许多心脏疾病的共同终点，并且越来越被认为是心力衰竭、心律失常和死亡的预测指标。最近的研究利用心脏 CT（CT）扫描和延迟相成像来定量心肌弥漫性纤维化。CT 细胞外容积（CT-ECV）测量与 CMR 和组织学心肌纤维化密切相关。此外，CT-ECV 可预测各种疾病状态下的结局，如死亡、心力衰竭和心律失常。本综述总结了 CT-ECV 测量背后的原理和方法，并详细总结了 CT-ECV 使用的当前临床证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/59671a198b53/10554_2024_3226_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/698088144bee/10554_2024_3226_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/a4d6a7688a71/10554_2024_3226_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/f9a28df2211f/10554_2024_3226_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/12e011999d69/10554_2024_3226_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/20d89ff89eb8/10554_2024_3226_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/59671a198b53/10554_2024_3226_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/698088144bee/10554_2024_3226_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/a4d6a7688a71/10554_2024_3226_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/f9a28df2211f/10554_2024_3226_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/12e011999d69/10554_2024_3226_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/20d89ff89eb8/10554_2024_3226_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92dd/11561108/59671a198b53/10554_2024_3226_Fig5_HTML.jpg

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本文引用的文献

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Increased CT angiography-derived extracellular volume fraction predicts less benefit in left ventricular remodeling and ejection fraction after transcatheter edge to edge repair for severe mitral regurgitation.计算机断层血管造影衍生的细胞外容积分数增加预示着经导管缘对缘修复严重二尖瓣反流后左心室重构和射血分数改善较少。
J Cardiovasc Comput Tomogr. 2024 Mar-Apr;18(2):217-218. doi: 10.1016/j.jcct.2024.01.002. Epub 2024 Feb 1.
2
Cardiac Computed Tomography for Quantification of Myocardial Extracellular Volume Fraction: A Systematic Review and Meta-Analysis.心脏计算机断层扫描定量心肌细胞外容积分数：系统评价和荟萃分析。
JACC Cardiovasc Imaging. 2023 Oct;16(10):1306-1317. doi: 10.1016/j.jcmg.2023.03.021. Epub 2023 May 31.
3
心脏计算机断层扫描的组织特征分析：一种正在成为现实的有趣可能性。
Int J Cardiovasc Imaging. 2024 Nov;40(11):2233-2235. doi: 10.1007/s10554-024-03285-7.
Importance of imaging-acquisition protocol and post-processing analysis for extracellular volume fraction assessment by computed tomography.
CT 评估细胞外容积分数中成像采集方案和后处理分析的重要性。
J Cardiovasc Comput Tomogr. 2023 May-Jun;17(3):222-225. doi: 10.1016/j.jcct.2023.02.007. Epub 2023 Mar 13.
4
Extracellular Volume Fraction by Computed Tomography Predicts Long-Term Prognosis Among Patients With Cardiac Amyloidosis.通过计算机断层扫描测定的细胞外容积分数可预测心脏淀粉样变性患者的长期预后。
JACC Cardiovasc Imaging. 2022 Dec;15(12):2082-2094. doi: 10.1016/j.jcmg.2022.08.006. Epub 2022 Oct 19.
5
CT Extracellular Volume Fraction versus Myocardium-to-Lumen Signal Ratio for Cardiac Amyloidosis.CT 细胞外容积分数与心肌内腔信号比在心脏淀粉样变性中的应用
Radiology. 2023 Mar;306(3):e220542. doi: 10.1148/radiol.220542. Epub 2022 Oct 18.
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Insights Imaging. 2020 Nov 23;11(1):120. doi: 10.1186/s13244-020-00922-2.