{"title":"用于区分全闭塞和严重狭窄的冠状动脉计算机断层扫描定量评估。","authors":"","doi":"10.1016/j.jcct.2024.04.013","DOIUrl":null,"url":null,"abstract":"<div><h3>Backgrounds</h3><p>The impact of quantitative assessment to differentiate total occlusions (TOs) from severe stenoses on coronary computed tomography angiography (CCTA) remains unknown.</p></div><div><h3>Objective</h3><p>This study investigated whether quantitative characteristics assessed on CCTA could help differentiate a TO from a severe stenosis on invasive coronary angiography (ICA).</p></div><div><h3>Methods</h3><p>This study is a sub-analysis of the FASTTRACK CABG (NCT04142021) in which both CCTA and ICA were routinely performed. Quantitative analysis was performed with semi-automated CCTA plaque-analysis software. Blinded analysts compared TOs on CCTA, defined as a complete lack of contrast opacification within the coronary occlusion, with corresponding ICA.</p></div><div><h3>Results</h3><p>Eighty-four TOs were seen on CCTA in 59 of the 114 patients enrolled in the trial. The concordance in diagnosing a TO between ICA and CCTA was 56.0% (n = 47). Compared to severe stenoses, TOs had a significantly longer lesion length (25.1 ± 23.0 mm vs 9.4 ± 11.2 mm, P < 0.001). The best cut-off value to differentiate a TO from severe stenosis was a lesion length of 5.5 mm (area under the curve 0.77, 95% CI: 0.66–0.87), with a 91.1% sensitivity and 61.1% specificity. Dense calcium percentage atheroma volume (PAV) was significantly higher in TOs compared to severe stenoses (18.7 ± 19.6% vs. 6.6 ± 13.0%, P < 0.001), whilst the opposite was seen for fibro-fatty PAV (31.3 ± 14.2% vs. 19.5 ± 10.5%, P < 0.001). On a multivariable logistic regression analysis, lesion length (>5.5 mm) was the only parameter associated with differentiating a TO from a severe stenosis.</p></div><div><h3>Conclusion</h3><p>In quantitative CCTA analysis, a lesion length >5.5 mm was the only independent predictor differentiating a TO from a severe stenosis.</p></div><div><h3>NCT registration number</h3><p>NCT04142021.</p></div>","PeriodicalId":49039,"journal":{"name":"Journal of Cardiovascular Computed Tomography","volume":null,"pages":null},"PeriodicalIF":5.5000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1934592524001084/pdfft?md5=8555967a909e58a1724b99ff7f9ace4c&pid=1-s2.0-S1934592524001084-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Quantitative coronary computed tomography assessment for differentiating between total occlusions and severe stenoses\",\"authors\":\"\",\"doi\":\"10.1016/j.jcct.2024.04.013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Backgrounds</h3><p>The impact of quantitative assessment to differentiate total occlusions (TOs) from severe stenoses on coronary computed tomography angiography (CCTA) remains unknown.</p></div><div><h3>Objective</h3><p>This study investigated whether quantitative characteristics assessed on CCTA could help differentiate a TO from a severe stenosis on invasive coronary angiography (ICA).</p></div><div><h3>Methods</h3><p>This study is a sub-analysis of the FASTTRACK CABG (NCT04142021) in which both CCTA and ICA were routinely performed. Quantitative analysis was performed with semi-automated CCTA plaque-analysis software. Blinded analysts compared TOs on CCTA, defined as a complete lack of contrast opacification within the coronary occlusion, with corresponding ICA.</p></div><div><h3>Results</h3><p>Eighty-four TOs were seen on CCTA in 59 of the 114 patients enrolled in the trial. The concordance in diagnosing a TO between ICA and CCTA was 56.0% (n = 47). Compared to severe stenoses, TOs had a significantly longer lesion length (25.1 ± 23.0 mm vs 9.4 ± 11.2 mm, P < 0.001). The best cut-off value to differentiate a TO from severe stenosis was a lesion length of 5.5 mm (area under the curve 0.77, 95% CI: 0.66–0.87), with a 91.1% sensitivity and 61.1% specificity. Dense calcium percentage atheroma volume (PAV) was significantly higher in TOs compared to severe stenoses (18.7 ± 19.6% vs. 6.6 ± 13.0%, P < 0.001), whilst the opposite was seen for fibro-fatty PAV (31.3 ± 14.2% vs. 19.5 ± 10.5%, P < 0.001). On a multivariable logistic regression analysis, lesion length (>5.5 mm) was the only parameter associated with differentiating a TO from a severe stenosis.</p></div><div><h3>Conclusion</h3><p>In quantitative CCTA analysis, a lesion length >5.5 mm was the only independent predictor differentiating a TO from a severe stenosis.</p></div><div><h3>NCT registration number</h3><p>NCT04142021.</p></div>\",\"PeriodicalId\":49039,\"journal\":{\"name\":\"Journal of Cardiovascular Computed Tomography\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1934592524001084/pdfft?md5=8555967a909e58a1724b99ff7f9ace4c&pid=1-s2.0-S1934592524001084-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cardiovascular Computed Tomography\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1934592524001084\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cardiovascular Computed Tomography","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1934592524001084","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Quantitative coronary computed tomography assessment for differentiating between total occlusions and severe stenoses
Backgrounds
The impact of quantitative assessment to differentiate total occlusions (TOs) from severe stenoses on coronary computed tomography angiography (CCTA) remains unknown.
Objective
This study investigated whether quantitative characteristics assessed on CCTA could help differentiate a TO from a severe stenosis on invasive coronary angiography (ICA).
Methods
This study is a sub-analysis of the FASTTRACK CABG (NCT04142021) in which both CCTA and ICA were routinely performed. Quantitative analysis was performed with semi-automated CCTA plaque-analysis software. Blinded analysts compared TOs on CCTA, defined as a complete lack of contrast opacification within the coronary occlusion, with corresponding ICA.
Results
Eighty-four TOs were seen on CCTA in 59 of the 114 patients enrolled in the trial. The concordance in diagnosing a TO between ICA and CCTA was 56.0% (n = 47). Compared to severe stenoses, TOs had a significantly longer lesion length (25.1 ± 23.0 mm vs 9.4 ± 11.2 mm, P < 0.001). The best cut-off value to differentiate a TO from severe stenosis was a lesion length of 5.5 mm (area under the curve 0.77, 95% CI: 0.66–0.87), with a 91.1% sensitivity and 61.1% specificity. Dense calcium percentage atheroma volume (PAV) was significantly higher in TOs compared to severe stenoses (18.7 ± 19.6% vs. 6.6 ± 13.0%, P < 0.001), whilst the opposite was seen for fibro-fatty PAV (31.3 ± 14.2% vs. 19.5 ± 10.5%, P < 0.001). On a multivariable logistic regression analysis, lesion length (>5.5 mm) was the only parameter associated with differentiating a TO from a severe stenosis.
Conclusion
In quantitative CCTA analysis, a lesion length >5.5 mm was the only independent predictor differentiating a TO from a severe stenosis.
期刊介绍:
The Journal of Cardiovascular Computed Tomography is a unique peer-review journal that integrates the entire international cardiovascular CT community including cardiologist and radiologists, from basic to clinical academic researchers, to private practitioners, engineers, allied professionals, industry, and trainees, all of whom are vital and interdependent members of our cardiovascular imaging community across the world. The goal of the journal is to advance the field of cardiovascular CT as the leading cardiovascular CT journal, attracting seminal work in the field with rapid and timely dissemination in electronic and print media.