W. Zhao , N. Li , B. Jiang , R. Zhang , W. Dong , J. Liu , T. Zhang , Z. Wen , L. Xu , N. Zhang
{"title":"使用冠状动脉计算机断层血管造影(CCTA)预测冠状动脉斑块,重点关注新发、高风险和阻塞性斑块","authors":"W. Zhao , N. Li , B. Jiang , R. Zhang , W. Dong , J. Liu , T. Zhang , Z. Wen , L. Xu , N. Zhang","doi":"10.1016/j.crad.2025.107018","DOIUrl":null,"url":null,"abstract":"<div><h3>AIM</h3><div>To develop and validate a predictive model based on CCTA-derived fat attenuation index (FAI) for the formation of new, high-risk, and obstructive plaques.</div></div><div><h3>MATERIALS AND METHODS</h3><div>This research retrospectively included 160 patients with cardiovascular risk factors for model development and 60 patients for external verification. All patients underwent at least two CCTA examinations within a 5-year period, and initial results were normal. Newly formed plaques, along with their vulnerability and luminal stenosis was assessed. The FAI was quantitatively evaluated on the three major coronary arteries with the initial CCTA.</div></div><div><h3>RESULTS</h3><div>Among 160 participants, newly formed plaques were identified in 60 patients. FAI had a certain value in predicting new (area under the curve (AUC) 0.723 [95% CI: 0.645, 0.802], with a cut-off value of -80.5 HU, sensitivity of 73.3% and specificity of 64.0%), high-risk (AUC 0.822 [95% CI: 0.715, 0.929], with a cut-off value of -78.5 HU, sensitivity of 90.9% and specificity of 65.3%), and obstructive (AUC 0.823 [95% CI: 0.720, 0.926], with a cut-off value of -77.5 HU, sensitivity of 90.0% and specificity of 74.0%) plaques and exhibited an incremental value compared with conventional clinical risk factors (0.817 vs 0.749; 0.862 vs. 0.700; 0.876 vs 0.740, all <em>P</em> < 0.001).</div></div><div><h3>CONCLUSION</h3><div>FAI and cardiovascular risk factors aided in predicting the probability of coronary plaque formation (FAI: -80.5 HU), especially high-risk (FAI: -78.5 HU) and obstructive (FAI: -77.5 HU) plaques.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"88 ","pages":"Article 107018"},"PeriodicalIF":1.9000,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The use of coronary computed tomography angiography (CCTA) to predict coronary artery plaque, with a focus on new, high-risk, and obstructive plaques\",\"authors\":\"W. Zhao , N. Li , B. Jiang , R. Zhang , W. Dong , J. Liu , T. Zhang , Z. Wen , L. Xu , N. Zhang\",\"doi\":\"10.1016/j.crad.2025.107018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>AIM</h3><div>To develop and validate a predictive model based on CCTA-derived fat attenuation index (FAI) for the formation of new, high-risk, and obstructive plaques.</div></div><div><h3>MATERIALS AND METHODS</h3><div>This research retrospectively included 160 patients with cardiovascular risk factors for model development and 60 patients for external verification. All patients underwent at least two CCTA examinations within a 5-year period, and initial results were normal. Newly formed plaques, along with their vulnerability and luminal stenosis was assessed. The FAI was quantitatively evaluated on the three major coronary arteries with the initial CCTA.</div></div><div><h3>RESULTS</h3><div>Among 160 participants, newly formed plaques were identified in 60 patients. FAI had a certain value in predicting new (area under the curve (AUC) 0.723 [95% CI: 0.645, 0.802], with a cut-off value of -80.5 HU, sensitivity of 73.3% and specificity of 64.0%), high-risk (AUC 0.822 [95% CI: 0.715, 0.929], with a cut-off value of -78.5 HU, sensitivity of 90.9% and specificity of 65.3%), and obstructive (AUC 0.823 [95% CI: 0.720, 0.926], with a cut-off value of -77.5 HU, sensitivity of 90.0% and specificity of 74.0%) plaques and exhibited an incremental value compared with conventional clinical risk factors (0.817 vs 0.749; 0.862 vs. 0.700; 0.876 vs 0.740, all <em>P</em> < 0.001).</div></div><div><h3>CONCLUSION</h3><div>FAI and cardiovascular risk factors aided in predicting the probability of coronary plaque formation (FAI: -80.5 HU), especially high-risk (FAI: -78.5 HU) and obstructive (FAI: -77.5 HU) plaques.</div></div>\",\"PeriodicalId\":10695,\"journal\":{\"name\":\"Clinical radiology\",\"volume\":\"88 \",\"pages\":\"Article 107018\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0009926025002235\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical radiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009926025002235","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
The use of coronary computed tomography angiography (CCTA) to predict coronary artery plaque, with a focus on new, high-risk, and obstructive plaques
AIM
To develop and validate a predictive model based on CCTA-derived fat attenuation index (FAI) for the formation of new, high-risk, and obstructive plaques.
MATERIALS AND METHODS
This research retrospectively included 160 patients with cardiovascular risk factors for model development and 60 patients for external verification. All patients underwent at least two CCTA examinations within a 5-year period, and initial results were normal. Newly formed plaques, along with their vulnerability and luminal stenosis was assessed. The FAI was quantitatively evaluated on the three major coronary arteries with the initial CCTA.
RESULTS
Among 160 participants, newly formed plaques were identified in 60 patients. FAI had a certain value in predicting new (area under the curve (AUC) 0.723 [95% CI: 0.645, 0.802], with a cut-off value of -80.5 HU, sensitivity of 73.3% and specificity of 64.0%), high-risk (AUC 0.822 [95% CI: 0.715, 0.929], with a cut-off value of -78.5 HU, sensitivity of 90.9% and specificity of 65.3%), and obstructive (AUC 0.823 [95% CI: 0.720, 0.926], with a cut-off value of -77.5 HU, sensitivity of 90.0% and specificity of 74.0%) plaques and exhibited an incremental value compared with conventional clinical risk factors (0.817 vs 0.749; 0.862 vs. 0.700; 0.876 vs 0.740, all P < 0.001).
CONCLUSION
FAI and cardiovascular risk factors aided in predicting the probability of coronary plaque formation (FAI: -80.5 HU), especially high-risk (FAI: -78.5 HU) and obstructive (FAI: -77.5 HU) plaques.
期刊介绍:
Clinical Radiology is published by Elsevier on behalf of The Royal College of Radiologists. Clinical Radiology is an International Journal bringing you original research, editorials and review articles on all aspects of diagnostic imaging, including:
• Computed tomography
• Magnetic resonance imaging
• Ultrasonography
• Digital radiology
• Interventional radiology
• Radiography
• Nuclear medicine
Papers on radiological protection, quality assurance, audit in radiology and matters relating to radiological training and education are also included. In addition, each issue contains correspondence, book reviews and notices of forthcoming events.