Risk Factors of Plaque Progression in Patients with Angina Pectoris and Their Relationships with Coronary CT Angiography
Objective: To investigate the risk factors of plaque progression in patients with angina pectoris and their relationships with coronary computed tomography (CT) angiography. Methods: Clinical data of 236 patients with angina pectoris were retrospectively analyzed from January 2017 to January 2020. A...
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| Format: | Article |
| Language: | English |
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Editorial Office of Computerized Tomography Theory and Application
2023-03-01
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| Series: | CT Lilun yu yingyong yanjiu |
| Subjects: | |
| Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2022.219 |
| _version_ | 1797776557558726656 |
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| author | Najun ZHU Xinxin FANG Yijun YIN Shuitian ZHOU |
| author_facet | Najun ZHU Xinxin FANG Yijun YIN Shuitian ZHOU |
| author_sort | Najun ZHU |
| collection | DOAJ |
| description | Objective: To investigate the risk factors of plaque progression in patients with angina pectoris and their relationships with coronary computed tomography (CT) angiography. Methods: Clinical data of 236 patients with angina pectoris were retrospectively analyzed from January 2017 to January 2020. All patients were grouped according to whether plaque progression occurred, and the general information and coronary CT angiography indexes were compared between the two groups. A logistic regression model was used to evaluate the independent risk factors of plaque progression in patients with angina pectoris. The receiver operating characteristic (ROC) curve was delineated to analyze the clinical value of the prediction model based on coronary CT angiography indicators in predicting plaque progression risk. Results: There were significant differences in sex, the proportion of hyperlipidemia, proportion of statins, degree of stenosis, minimum lumen area, total plaque volume, RI, and CT-derived fractional flow reserve (FFR) between the two groups. The results of single factor analysis showed that the degree of stenosis, the minimum lumen area, plaque volume, the volume of non-calcified plaque, RI, and CT-FFR levels were related to the plaque progression in patients with angina pectoris. Univariate analysis showed that the degree of stenosis, minimum lumen area, plaque volume, non-calcified plaque volume, RI, and CT-FFR levels were associated with plaque progression in patients with angina pectoris. Multivariate analysis showed that RI and CT-FFR levels were independent factors of plaque progression in patients with angina pectoris. ROC curve analysis showed that the combination of stenosis degree + RI + CT-FFR was better than that of simple stenosis degree and stenosis degree + RI in predicting the area under the curve of plaque progression. Conclusion: RI and CT-FFR levels are important factors leading to plaque progression in patients with angina pectoris. The prediction model based on RI and CT-FFR can more accurately identify plaque progression. |
| first_indexed | 2024-03-12T22:51:37Z |
| format | Article |
| id | doaj.art-fa7dd4bdf78a49419cf3ab0a765c0c80 |
| institution | Directory Open Access Journal |
| issn | 1004-4140 |
| language | English |
| last_indexed | 2024-03-12T22:51:37Z |
| publishDate | 2023-03-01 |
| publisher | Editorial Office of Computerized Tomography Theory and Application |
| record_format | Article |
| series | CT Lilun yu yingyong yanjiu |
| spelling | doaj.art-fa7dd4bdf78a49419cf3ab0a765c0c802023-07-20T08:57:31ZengEditorial Office of Computerized Tomography Theory and ApplicationCT Lilun yu yingyong yanjiu1004-41402023-03-0132221722210.15953/j.ctta.2022.2192022.219Risk Factors of Plaque Progression in Patients with Angina Pectoris and Their Relationships with Coronary CT AngiographyNajun ZHU0Xinxin FANG1Yijun YIN2Shuitian ZHOU3Department of Radiology, The 909th Hospital of joint Logistic Support Force (Dongnan Hospital of Xiamen University) , Zhangzhou 363000, ChinaDepartment of Radiology, The 909th Hospital of joint Logistic Support Force (Dongnan Hospital of Xiamen University) , Zhangzhou 363000, ChinaDepartment of Radiology, The 909th Hospital of joint Logistic Support Force (Dongnan Hospital of Xiamen University) , Zhangzhou 363000, ChinaDepartment of Radiology, The 909th Hospital of joint Logistic Support Force (Dongnan Hospital of Xiamen University) , Zhangzhou 363000, ChinaObjective: To investigate the risk factors of plaque progression in patients with angina pectoris and their relationships with coronary computed tomography (CT) angiography. Methods: Clinical data of 236 patients with angina pectoris were retrospectively analyzed from January 2017 to January 2020. All patients were grouped according to whether plaque progression occurred, and the general information and coronary CT angiography indexes were compared between the two groups. A logistic regression model was used to evaluate the independent risk factors of plaque progression in patients with angina pectoris. The receiver operating characteristic (ROC) curve was delineated to analyze the clinical value of the prediction model based on coronary CT angiography indicators in predicting plaque progression risk. Results: There were significant differences in sex, the proportion of hyperlipidemia, proportion of statins, degree of stenosis, minimum lumen area, total plaque volume, RI, and CT-derived fractional flow reserve (FFR) between the two groups. The results of single factor analysis showed that the degree of stenosis, the minimum lumen area, plaque volume, the volume of non-calcified plaque, RI, and CT-FFR levels were related to the plaque progression in patients with angina pectoris. Univariate analysis showed that the degree of stenosis, minimum lumen area, plaque volume, non-calcified plaque volume, RI, and CT-FFR levels were associated with plaque progression in patients with angina pectoris. Multivariate analysis showed that RI and CT-FFR levels were independent factors of plaque progression in patients with angina pectoris. ROC curve analysis showed that the combination of stenosis degree + RI + CT-FFR was better than that of simple stenosis degree and stenosis degree + RI in predicting the area under the curve of plaque progression. Conclusion: RI and CT-FFR levels are important factors leading to plaque progression in patients with angina pectoris. The prediction model based on RI and CT-FFR can more accurately identify plaque progression.https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2022.219ctangiographyangina pectorisplaquecoronary artery |
| spellingShingle | Najun ZHU Xinxin FANG Yijun YIN Shuitian ZHOU Risk Factors of Plaque Progression in Patients with Angina Pectoris and Their Relationships with Coronary CT Angiography CT Lilun yu yingyong yanjiu ct angiography angina pectoris plaque coronary artery |
| title | Risk Factors of Plaque Progression in Patients with Angina Pectoris and Their Relationships with Coronary CT Angiography |
| title_full | Risk Factors of Plaque Progression in Patients with Angina Pectoris and Their Relationships with Coronary CT Angiography |
| title_fullStr | Risk Factors of Plaque Progression in Patients with Angina Pectoris and Their Relationships with Coronary CT Angiography |
| title_full_unstemmed | Risk Factors of Plaque Progression in Patients with Angina Pectoris and Their Relationships with Coronary CT Angiography |
| title_short | Risk Factors of Plaque Progression in Patients with Angina Pectoris and Their Relationships with Coronary CT Angiography |
| title_sort | risk factors of plaque progression in patients with angina pectoris and their relationships with coronary ct angiography |
| topic | ct angiography angina pectoris plaque coronary artery |
| url | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2022.219 |
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