Carotid Artery Imaging Is More Strongly Associated With the 10-Year Atherosclerotic Cardiovascular Disease Score Than Coronary Artery Imaging

被引:6
|
作者
Li, Ying [1 ]
Zhu, Guangming [1 ]
Ding, Victoria [2 ]
Jiang, Bin [1 ]
Boothroyd, Derek [2 ]
Rodriguez, Fatima [3 ]
Fleischmann, Dominik [4 ]
Desai, Manisha [2 ]
Saloner, David [5 ]
Saba, Luca [6 ]
Hom, Jason [7 ]
Wintermark, Max [1 ]
机构
[1] Stanford Univ, Neuroradiol Sect, Sch Med, Dept Radiol, 300 Pasteur Dr,Grant S047, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Med, Sch Med, Quantitat Sci Unit, Stanford, CA 94305 USA
[3] Stanford Univ, Div Cardiovasc Med, Stanford, CA 94305 USA
[4] Stanford Univ, Sch Med, Dept Radiol, Cardiovasc Imaging Sect, Palo Alto, CA 94304 USA
[5] Univ Calif San Francisco, Dept Radiol, San Francisco, CA USA
[6] Azienda Osped Univ Cagliari, Dipartimento Radiol, Cagliari, Italy
[7] Stanford Univ, Sch Med, Dept Med, Palo Alto, CA 94304 USA
关键词
10-year ASCVD score; computed tomography angiography; head and neck CTA; calcium scoring; coronary CTA; INTIMA-MEDIA THICKNESS; PRIMARY PREVENTION; CALCIUM SCORE; RISK; PLAQUE; PREDICTION;
D O I
10.1097/RCT.0000000000000920
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose The aim of this study was to compare coronary and carotid artery imaging and determine which one shows the strongest association with atherosclerotic cardiovascular disease (ASCVD) score. Patients and Methods Two separate series patients who underwent either coronary computed tomography angiography (CTA) or carotid CTA were included. We recorded the ASCVD scores and assessed the CTA imaging. Two thirds were used to build predictive models, and the remaining one third generated predicted ASCVD scores. The Bland-Altman analysis analyzed the concordance. Results A total of 110 patients were included in each group. There was no significant difference between clinical characteristics. Three imaging variables were included in the carotid model. Two coronary models (presence of calcium or Agatston score) were created. The bias between true and predicted ASCVD scores was 0.37 +/- 5.72% on the carotid model, and 2.07 +/- 7.18% and 2.47 +/- 7.82% on coronary artery models, respectively. Conclusions Both carotid and coronary artery imaging features can predict ASCVD score. The carotid artery was more associated to the ASCVD score than the coronary artery.
引用
收藏
页码:679 / 685
页数:7
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