Preliminary study on the value of pericoronary adipose tissue histogram parameters for the differentiation of acute coronary syndrome and stable coronary artery disease

Q4 Medicine
Qing Tao, W. Zou, Yanfen Fan, Hailin Shen, Hongdi Du, C. Qian, Feng Zhu, Su Hu, Guang-yu Hao, S. Duan, Chunhong Hu
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Abstract

Objective To investigate the value of pericoronary adipose tissue histogram parameters based on coronary CT angiography (CTA) images for the differentiation of acute coronary syndrome and stable coronary artery disease. Methods The clinical data and CTA images of 93 patients with coronary CTA examination in Suzhou Kowloon Hospital from 2013 to 2018 were analyzed retrospectively. There were 39 patients with acute coronary syndrome (acute coronary syndrome group) and 54 patients with stable coronary artery disease (stable coronary artery disease group). A region of interest (ROI) was drawn around the stenosis of the coronary arteries, with CT attenuation ranging from-190 to -30 HU to exclude non-adipose tissue. The CT attenuation of ROI excluding non-adipose were measured and histogram analysis was performed. The obtained parameters included the mean value, median value and the 5th, 10th, 45th, 55th, 70th and 95th percentiles. The differences in histogram parameters between the two groups were compared, and then the value of each parameter in differentiating acute coronary syndrome and stable coronary artery disease was evaluated based on receiver operating characteristic (ROC) analysis. The stepwise regression of multivariate logistic regression analysis was used to identify the useful features and establish the final prediction model. The ROC curve of the final model was calculated and its value was analyzed. Results The mean, median and the 5th, 10th, 45th, 55th,70th and 95th percentile differences between the acute coronary syndrome group and the stable coronary artery disease group were statistically significant (all P<0.05). The ROC curve for the median and the 95th percentile had the same area under curve (AUC) of 0.73. The sensitivity, specificity and AUC of the diagnostic model established by multiple logistic regression were 82.1%, 89.1% and 0.90 respectively. Conclusion CT attenuation histogram of pericoronary adipose tissue is of high value in differentiating acute coronary syndrome from stable coronary artery disease. Key words: Coronary disease; Tomography, X-ray computed; Adipose tissue
冠状动脉周围脂肪组织直方图参数对急性冠状动脉综合征与稳定型冠状动脉疾病鉴别价值的初步研究
目的探讨基于冠状动脉CT血管造影(CTA)图像的冠状动脉周围脂肪组织直方图参数在鉴别急性冠状动脉综合征和稳定型冠状动脉疾病中的价值。方法回顾性分析苏州九龙医院2013-2018年93例冠状动脉CTA检查患者的临床资料和CTA图像。有39名急性冠状动脉综合征患者(急性冠状动脉综合症组)和54名稳定型冠状动脉疾病患者(稳定型冠状血管疾病组)。在冠状动脉狭窄周围绘制感兴趣区域(ROI),CT衰减范围为-190至-30 HU,以排除非脂肪组织。测量ROI(不包括非脂肪)的CT衰减,并进行直方图分析。获得的参数包括平均值、中值和第5、第10、第45、第55、第70和第95个百分位数。比较两组之间直方图参数的差异,然后根据受试者操作特征(ROC)分析评估每个参数在区分急性冠状动脉综合征和稳定型冠状动脉疾病方面的价值。使用多元逻辑回归分析的逐步回归来识别有用的特征,并建立最终的预测模型。计算了最终模型的ROC曲线,并对其值进行了分析。结果急性冠状动脉综合征组与稳定型冠状动脉疾病组的平均值、中位数以及第5、第10、第45、第55、第70和第95百分位的差异具有统计学意义(均P<0.05),中位数和第95千分位的ROC曲线下面积(AUC)相同,为0.73。多元逻辑回归建立的诊断模型的敏感性、特异性和AUC分别为82.1%、89.1%和0.90。结论冠状动脉周围脂肪组织CT衰减直方图对鉴别急性冠状动脉综合征和稳定型冠状动脉疾病有较高价值。关键词:冠心病;层析成像,X射线计算机;脂肪组织
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来源期刊
Zhonghua fang she xue za zhi Chinese journal of radiology
Zhonghua fang she xue za zhi Chinese journal of radiology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
0.30
自引率
0.00%
发文量
10639
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