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通过胸部计算机断层扫描对冠状动脉钙化斑块进行定量分析:与钙评分技术的相关性

Quantification of Calcified Coronary Plaques by Chest Computed Tomography: Correlation with the Calcium Score Technique.

作者信息

Souza Vitor Frauches, Santos Alair Augusto Sarmet M D Dos, Mesquita Claudio Tinoco, Martins Wolney de Andrade, Pelandre Gustavo Lemos, Marchiori Edson, Nacif Marcelo Souto

机构信息

Complexo Hospitalar de Niterói - Radiologia, Niterói, RJ - Brasil.

Hospital Universitário Antônio Pedro - Pós-Graduação em Ciências Cardiovasculares, Niterói, RJ - Brasil.

出版信息

Arq Bras Cardiol. 2020 Sep;115(3):493-500. doi: 10.36660/abc.20190235.

DOI:10.36660/abc.20190235
PMID:33027372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9363106/
Abstract

BACKGROUND

Cardiovascular disease is the leading cause of mortality in the world. Parietal calcifications of the arteries may be visualized and quantified at initial and subclinical states by computed tomography (CT), and expressed as calcium score (CS). It is possible to estimate the prognosis of future cardiovascular events using this score.

OBJECTIVES

To correlate the detection and quantification of the CS obtained by chest CT with that obtained by electrocardiography (ECG)-synchronized cardiac computed tomography (the gold-standard).

METHOD

Cross-sectional, descriptive study of 73 consecutive patients in investigation for coronary artery disease who underwent cardiac CT between June 2013 and October 2014. Chest computed tomography and CS protocols were performed in a 64-channel TC scanner. P-values <0.05 were considered statistically significant.

RESULTS

In the per-patient analysis, after logarithmic transformation, mean CS was 8.7 and 9.4 by the ECG-synchronized method and chest CT, respectively. The prevalence of disease was 49.3% (n=36), with a sensitivity of 97.2% and specificity of 100.0%. There was an excellent correlation between the methods (r= 0.993, p<0.001). In the per-segment analysis, after logarithmic transformation, mean CS was 3.0 and 3.2 by the ECG-synchronized method and chest CT, respectively. The prevalence of disease was 29.5% (n=86), with a sensitivity of 95.3% and specificity of 97.5%. There was an excellent correlation between the methods (r= 0.985, p<0.001).

CONCLUSION

ECG-synchronized CT is well correlated with the non-ECG-synchronized CT for CS determination, without statistical difference between the methods. (Arq Bras Cardiol. 2020; 115(3):493-500).

摘要

背景

心血管疾病是全球主要的死亡原因。动脉壁钙化可通过计算机断层扫描(CT)在初始和亚临床状态下进行可视化和量化,并表示为钙化评分(CS)。使用该评分可以估计未来心血管事件的预后。

目的

将胸部CT获得的CS检测和量化结果与心电图(ECG)同步心脏计算机断层扫描(金标准)获得的结果进行相关性分析。

方法

对2013年6月至2014年10月期间连续73例接受心脏CT检查的冠心病调查患者进行横断面描述性研究。在64排CT扫描仪上进行胸部计算机断层扫描和CS检查方案。P值<0.05被认为具有统计学意义。

结果

在患者个体分析中,经对数转换后,ECG同步法和胸部CT测得的平均CS分别为8.7和9.4。疾病患病率为49.3%(n=36),敏感性为97.2%,特异性为100.0%。两种方法之间存在极好的相关性(r=0.993,p<0.001)。在节段分析中,经对数转换后,ECG同步法和胸部CT测得的平均CS分别为3.0和3.2。疾病患病率为29.5%(n=86),敏感性为95.3%,特异性为97.5%。两种方法之间存在极好的相关性(r=0.985,p<0.001)。

结论

ECG同步CT与非ECG同步CT在CS测定方面具有良好的相关性,两种方法之间无统计学差异。(《巴西心脏病学杂志》。2020;115(3):493-500)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/5f4899d6efcc/0066-782X-abc-115-03-493-gf04-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/8bf5240c40c0/0066-782X-abc-115-03-493-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/cedd1552f95f/0066-782X-abc-115-03-493-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/05ccf1a6971a/0066-782X-abc-115-03-493-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/98709c4cf123/0066-782X-abc-115-03-493-gf04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/4c4837317443/0066-782X-abc-115-03-493-gf01-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/86d3cdef2b43/0066-782X-abc-115-03-493-gf02-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/e8d25493c385/0066-782X-abc-115-03-493-gf03-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/5f4899d6efcc/0066-782X-abc-115-03-493-gf04-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/8bf5240c40c0/0066-782X-abc-115-03-493-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/cedd1552f95f/0066-782X-abc-115-03-493-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/05ccf1a6971a/0066-782X-abc-115-03-493-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/98709c4cf123/0066-782X-abc-115-03-493-gf04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/4c4837317443/0066-782X-abc-115-03-493-gf01-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/86d3cdef2b43/0066-782X-abc-115-03-493-gf02-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/e8d25493c385/0066-782X-abc-115-03-493-gf03-en.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c15/9363106/5f4899d6efcc/0066-782X-abc-115-03-493-gf04-en.jpg

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