Feasibility of Subtraction Coronary Computed Tomographic Angiography and Influencing Factor Analysis: a Retrospective Study

Objective To investigate the feasibility of subtraction coronary computed tomographic(CT)angiography(SubCCTA)to decline calcium artifacts and improve diagnostic accuracy in the presence of coronary calcification and analyze the factors that influence SubCCTA.Methods A total of 294 patients suspected of having coronary artery diseases underwent coronary computed tomographic angiography(CCTA)and SubCCTA.Coronary stenoses were blindly evaluated by two experienced radiologists,which were compared with invasive coronary angiography(ICA).Multiple statistical indexes were adopted to analyze the value of SubCCTA for the diagnosis of calcium stenoses.Results The diagnosable rate of SubCCTA was 67.2%(n=197),and the non-diagnosable rate was 32.8%(n=97).Using SubCCTA,the false positive rate decreased from 56.5%to 17.4%,and the corresponding diagnostic accuracy was increased from 83.6%to 92.9%.Univariate logistic regression analysis showed that height(OR=1.029,95%CI=1.001–1.058),weight(OR=1.025,95%CI=1.004–1.046),left ventricular size(OR=1.018,95%CI=1.007–1.030),cardiothoracic ratio(OR=39.917,95%CI=1.244–1281.098),the average heart rate(OR=0.866,95%CI=0.836–0.896)and heart rate range(OR=0.882,95%CI=0.853–0.912)might be the factors influencing SubCCTA.Conclusion This study suggested that SubCCTA could help improve diagnostic accuracy in the presence of calcium plaques.Moreover,several factors were discovered for the first time to possibly influence SubCCTA,which will be helpful in improving the subtracted image quality.

Impact of Clinical Guideline Recommendations on the Application of Coronary Computed Tomographic Angiography in Patients with Suspected Stable Coronary Artery Disease

Background： Coronary computed tomographic angiography （CCTA） has been widely used in patients who are at intemaediate risk for having stable coronary artery disease （SCAD）, and 2013 European Society of Cardiology Guidelines on the Management of SCAD （2013G） recommended the appropriate application of CCTA. However, 2013G has not been subjected to systematic analyses for subsequent impact on clinical practice. Methods： A total of 5320 patients suspected with SCAD were enrolled and scheduled for CCTA from March 2013 to September 2014. For each patient, pretest probability of SCAD was calculated according to updated Diamond-Forrester model （UDFM）. Appropriate CCTA or appropriate stress test was determined as described in the 2013G. A generalized estimating equation model was used to determine the trends in the half-monthly rate of appropriate CCTA. Results： Overall, only 61.37% of patients received appropriate CCTA, and there was insignificant change over time （P = 0.8701）. The application of CCTA in patients who should have had a stress test accounted for most of the inappropriate CCTA before （22.29%） or after （19.98%） the publication of the 2013G. In all patients or any subgroup, no significant change in the adjusted half-monthly rate of appropriate CCTA was found after the publication of the 2013G （odds ratio, 1.002; 95% confidence interval, 0.982-1.021; P = 0.8678）. Conclusions： These findings suggest that the 2013G have not, to date, been fully incorporated into clinical practice, and the clinical utilization of CCTA remains unreasonable to some extent.

Coronary Computed Tomographic Angiography for Suspected Stable Coronary Artery Disease： Gap Between the 2013 European Society of Cardiology Guideline Recommendations and Clinical Practice

Coronary computed tomographic angiography （CCTA） as a noninvasive diagnostic technique for the evaluation of coronary anatomy is widely used clinically. Its advantages include high sensitivity and specificity for the diagnosis of present of coronary artery lesions and lesion characteristics,

Understanding the predictive value and methods of risk assessment based on coronary computed tomographic angiography in populations with coronary artery disease:a review

Risk assessment in coronary artery disease plays an essential role in the early identification of high-risk patients.However,conventional invasive imaging procedures all require long intraprocedural times and high costs.The rapid development of coronary computed tomographic angiography(CCTA)and related image processing technology has facilitated the formulation of noninvasive approaches to perform comprehensive evaluations.Evidence has shown that CCTA has outstanding performance in identifying the degree of stenosis,plaque features,and functional reserve.Moreover,advancements in radiomics and machine learning allowmore comprehensive interpretations of CCTA images.This paper reviews conventional as well as novel diagnostic and risk assessment tools based on CCTA.