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基于电影心脏磁共振成像的放射组学特征与ST段抬高型心肌梗死患者微血管阻塞之间的关联。

Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment elevation myocardial infarction.

作者信息

Peng Yongjia, Wu Kongyang, Wang Yi Xiang J, Gong Jingshan

机构信息

The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China.

College of Electrical and Information Engineering, Jinan University, Guangzhou, China.

出版信息

J Thorac Dis. 2022 Apr;14(4):969-978. doi: 10.21037/jtd-21-1706.

Abstract

BACKGROUND

In the process of percutaneous coronary intervention (PCI), patients with ST-segment elevation myocardial infarction (STEMI) may receive large doses of the iodine contrast agent. Some adverse events may be aroused if the patients receive the gadolinium agents. We investigate the association between cine cardiac magnetic resonance (CMR)-based radiomics signature and microvascular obstruction (MVO) in patients with STEMI.

METHODS

A total of 116 STEMI patients who received continuous CMR within 6 days after PCI were retrospectively included in this study. According to the late gadolinium enhancement (LGE) of CMR, the myocardial infarction (MI) was divided into with and without MVO. Radiomic features were extracted from cine CMR images and the least absolute shrinkage and selectionator operator (LASSO) algorithm was used for features selection and radiomic signatures construction. Binary logistic regression was used to assess association between radiomic signatures and MVO with adjusted for baseline clinical characteristics.

RESULTS

Of 116 patients with STEMI, MI with MVO was found in 50 patients and MI without MVO was found in 66 patients. LASSO regression selected five radiomics features for radiomics signature construction. Logistic regression revealed that radiomics score, high sensitivity C-reactive protein (hs-CRP) and creatine phosphokinases (CPK) were independent risk factors for MVO with odds ratio (OR) of 4.41 (95% CI: 2.26-9.93), 1.018 (95% CI: 1.006-1.034) and 1.0007 (95% CI: 1.0004-1.0012), respectively. Area under curve (AUC) of receiver operating characteristic (ROC) of radiomics score to predict MVO was 0.75 (95% CI: 0.68-0.85).

CONCLUSIONS

Cine CMR-based radiomics signature was an independent predictive factor of MVO in patients with STEMI, which showed the potential of this contrast free radiomics signature to be an imaging biomarker for MVO.

摘要

背景

在经皮冠状动脉介入治疗(PCI)过程中,ST段抬高型心肌梗死(STEMI)患者可能会接受大剂量碘造影剂。如果患者接受钆剂,可能会引发一些不良事件。我们研究了基于电影心脏磁共振成像(CMR)的影像组学特征与STEMI患者微血管阻塞(MVO)之间的关联。

方法

本研究回顾性纳入了116例在PCI术后6天内接受连续CMR检查的STEMI患者。根据CMR的延迟钆增强(LGE)情况,将心肌梗死(MI)分为伴有和不伴有MVO。从电影CMR图像中提取影像组学特征,并使用最小绝对收缩和选择算子(LASSO)算法进行特征选择和影像组学特征构建。采用二元逻辑回归评估影像组学特征与MVO之间的关联,并对基线临床特征进行校正。

结果

116例STEMI患者中,50例患者的MI伴有MVO,66例患者的MI不伴有MVO。LASSO回归选择了5个影像组学特征用于构建影像组学特征。逻辑回归显示,影像组学评分、高敏C反应蛋白(hs-CRP)和肌酸磷酸激酶(CPK)是MVO的独立危险因素,比值比(OR)分别为4.41(95%CI:2.26-9.93)、1.018(95%CI:1.006-1.034)和1.0007(95%CI:1.0004-1.0012)。影像组学评分预测MVO的受试者操作特征(ROC)曲线下面积(AUC)为0.75(95%CI:0.68-0.85)。

结论

基于电影CMR的影像组学特征是STEMI患者MVO的独立预测因素,这表明这种无需造影剂的影像组学特征有可能成为MVO的影像学生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/827d/9096300/95daabd08e21/jtd-14-04-969-f1.jpg

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