CAD-RADS may underestimate coronary plaque progression as detected by serial CT angiography

Association between affective temperaments and the severity and the extent of coronary artery disease as obtained by coronary CT angiography

BACKGROUND

Affective temperaments are documented predictors of psychopathology, but cumulating data suggest their relationship with coronary artery disease (CAD). We aimed to evaluate their role in relation to surrogate semiquantitative markers of coronary plaque burden, as assessed by coronary CT angiography (CCTA).

METHODS

We included 351 patients who were referred for CCTA due to suspected CAD. All patients completed the Temperament Evaluation of Memphis, Pisa, Paris and San Diego Autoquestionnaire (TEMPS-A). The severity and extent of CAD was evaluated by CCTA, applying semiquantitative plaque burden scores, notably Segment Involvement Score (SIS) and Segment Stenosis Score (SSS). Logistic regression analyses were performed to define the predictors of CAD severity and extent.

RESULTS

Regarding the scores evaluated by TEMPS-A that consists of 110 questions, in men, significant inverse association was found between hyperthymic temperament score and SSS (β = -0.143, (95%CI: -0.091 to -0.004), p = 0.034). Compared to the TEMPS-A form, applying the abbreviated version - containing 40 questions - significant relationship between affective temperaments and SSS or SIS was found in case of both sexes. Concerning men, hyperthymic temperament was demonstrated to be independent predictor of both SSS (β = -0.193, (95%CI: -0.224 to -0.048), p = 0.004) and SIS (β = -0.194, (95%CI: -0.202 to -0.038), p = 0.004). Additionally, we proved, that significant positive association between irritable temperament and SSS (β = 0.152, (95%CI: 0.002 to 0.269), p = 0.047) and SIS (β = 0.155, (95%CI: 0.004 to 0.221), p = 0.042) exists among women.

LIMITATIONS

Cross-sectional analysis of a single center study with self-reported questionnaires.

CONCLUSIONS

Assessment of affective temperaments could offer added value in stratifying cardiovascular risk for patients beyond traditional risk factors.

Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment

Cardiac computed tomography angiography (CCTA) is considered the standard non-invasive tool to rule-out obstructive coronary artery disease (CAD). Moreover, several imaging biomarkers have been developed on cardiac-CT imaging to assess global CAD severity and atherosclerotic burden, including coronary calcium scoring, the segment involvement score, segment stenosis score and the Leaman-score. Myocardial perfusion imaging enables the diagnosis of myocardial ischemia and microvascular damage, and the CT-based fractional flow reserve quantification allows to evaluate non-invasively hemodynamic impact of the coronary stenosis. The texture and density of the epicardial and perivascular adipose tissue, the hypodense plaque burden, the radiomic phenotyping of coronary plaques or the fat radiomic profile are novel CT imaging features emerging as biomarkers of inflammation and plaque instability, which may implement the risk stratification strategies. The ability to perform myocardial tissue characterization by extracellular volume fraction and radiomic features appears promising in predicting arrhythmogenic risk and cardiovascular events. New imaging biomarkers are expanding the potential of cardiac CT for phenotyping the individual profile of CAD involvement and opening new frontiers for the practice of more personalized medicine.

Prognostic utility of semi-quantitative coronary computed tomography angiography scores in the SCOT-HEART trial

BACKGROUND

Information from cardiac computed tomography angiography can be summarized using visual semi-quantitative scores. However, the optimal method and their prognostic utility is unknown.

METHODS

Five semi-quantitative scores were calculated in the SCOT-HEART trial, including segment involvement score (SIS), segment stenosis score (SSS), CT Leaman (CT-LeSc), multivessel aggregate stenosis score (MVAS), and CAD-RADS 2.0 including plaque modifier (P). Prediction of fatal or non-fatal myocardial infarction and major adverse cardiovascular events (MACE) was compared to the 10-year cardiovascular risk score.

RESULTS

Imaging was performed in 1,769 individuals (age 58 ​± ​10 years, 56% male) with 41 (2.3%) experiencing myocardial infarction and 74 (4%) MACE over 4.9 ​± ​1.1 years. P based on calcium score and SIS had good agreement (weighted Cohen's kappa 0.79, 95% confidence interval [CI] 0.79, 0.79). SIS, SSS, CT-LeSec, and MVAS performed similarly for the prediction of myocardial infarction (area under the curve [AUC] 0.74, 0.75, 0.75, 0.74, all p ​> ​0.1) and MACE (AUC 0.73, 0.74, 0.74, 0.73, all p ​> ​0.1), and were superior to the cardiovascular risk score (AUC 0.62 and 0.65, both p ​< ​0.001). High semi-quantitative scores were associated with increased risk of myocardial infarction and MACE, with the greatest adjusted risk associated with CT-LeSc≥8 (Hazard ratio [HR] 5.6, 95% confidence interval [CI] 2.7, 11.6, p ​< ​0.001 and HR 5.2, 95% CI 3.1, 8.7, p ​< ​0.001) and SSS≥10 (HR 4.7, 95% CI 2.4, 8.9, p ​< ​0.001 and HR 5.3, 95% CI 3.3, 8.5, p ​< ​0.001).

CONCLUSIONS

Semi-quantitative scores performed similarly for the prediction of myocardial infarction and MACE, with all superior to the cardiovascular risk score.

Characterizing the Heart and the Myocardium With Photon-Counting CT

ABSTRACT

Noninvasive cardiac imaging has rapidly evolved during the last decade owing to improvements in computed tomography (CT)-based technologies, among which we highlight the recent introduction of the first clinical photon-counting detector CT (PCD-CT) system. Multiple advantages of PCD-CT have been demonstrated, including increased spatial resolution, decreased electronic noise, and reduced radiation exposure, which may further improve diagnostics and may potentially impact existing management pathways. The benefits that can be obtained from the initial experiences with PCD-CT are promising. The implementation of this technology in cardiovascular imaging allows for the quantification of coronary calcium, myocardial extracellular volume, myocardial radiomics features, epicardial and pericoronary adipose tissue, and the qualitative assessment of coronary plaques and stents. This review aims to discuss these major applications of PCD-CT with a focus on cardiac and myocardial characterization.

The value of Coronary Artery Disease - Reporting and Data System (CAD-RADS) in Outcome Prediction of CAD Patients; a Systematic Review and Meta-analysis

Introduction

Coronary computed tomographic angiography (CCTA) reporting has traditionally been operator-dependent, and no precise classification is broadly used for reporting Coronary Artery Disease (CAD) severity. The Coronary Artery Disease Reporting and Data Systems (CAD-RADS) was introduced to address the inconsistent CCTA reports. This systematic review with meta-analysis aimed to comprehensively appraise all available studies and draw conclusions on the prognostic value of the CAD-RADS classification system in CAD patients.

Method

Online databases of PubMed, Embase, Scopus, and Web of Science were searched until September 19th, 2022, for studies on the value of CAD-RADS categorization for outcome prediction of CAD patients.

Results

16 articles were included in this systematic review, 14 of which had assessed the value of CAD-RADS in the prediction of major adverse cardiovascular events (MACE) and 3 articles investigated the outcome of all-cause mortality. Our analysis demonstrated that all original CAD-RADS categories can be a predictor of MACE [Hazard ratios (HR) ranged from 3.39 to 8.63] and all categories, except CAD-RADS 1, can be a predictor of all-cause mortality (HRs ranged from 1.50 to 3.09). Moreover, higher CAD-RADS categories were associated with an increased hazard ratio for unfavorable outcomes among CAD patients (p for MACE = 0.007 and p for all-cause mortality = 0.018).

Conclusion

The evidence demonstrated that the CAD-RADS classification system can be used to predict incidence of MACE and all-cause mortality. This indicates that the implementation of CAD-RADS into clinical practice, besides enhancing the communication between physicians and improving patient care, can also guide physicians in risk assessment of the patients and predicting their prognosis.

First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography

Purpose

To assess the effect of ultra-high-resolution coronary CT angiography (CCTA) with photon-counting detector (PCD) CT on quantitative coronary plaque characterization.

Materials and methods

In this IRB-approved study, 22 plaques of 20 patients (7 women; mean age 77 ± 8 years, mean body mass index 26.1 ± 3.6 kg/m2) undergoing electrocardiography (ECG)-gated ultra-high-resolution CCTA with PCD-CT were included. Images were reconstructed with a smooth (Bv40) and a sharp (Bv64) vascular kernel, with quantum iterative reconstruction (strength level 4), and using a slice thickness of 0.6, 0.4, and 0.2 mm, respectively (field-of-view 200 mm × 200 mm, matrix size 512 × 512 pixels). Reconstructions with the Bv40 kernel and slice thickness of 0.6 mm served as the reference standard. After identification of a plaque in coronary arteries with a vessel diameter ≥2 mm, plaque composition was determined using a dedicated, semi-automated plaque quantification software. Total plaque, calcified, fibrotic, and lipid-rich plaque components were quantified in all datasets.

Results

Median plaque volume was highest (23.5 mm3, interquartiles 17.9–34.3 mm3) for reconstructions with the reference standard and lowest for ultra-high-resolution reconstructions with a slice thickness of 0.2 mm and the Bv64 kernel (18.1 mm3, interquartiles 14.1–25.8 mm3, p &lt; 0.001). Reconstructions with the reference standard showed largest calcified (85.1%, interquartiles 76.4–91.1%) and smallest lipid-rich plaque components (0.5%, interquartiles 0.0–1.5%). Smallest calcified plaque components (75.2%, interquartiles 69.9–80.8%) and largest lipid-rich components (6.7%, interquartiles 5.1–8.4%) were found for ultra-high-resolution reconstructions with a slice thickness of 0.2 mm and the Bv64 kernel. At an identical slice thickness, volume of calcified components was always lower, and volume of lipid-rich components was always higher for reconstructions with the Bv64 kernel compared with reconstructions with the Bv40 kernel (all, p &lt; 0.001).

Conclusion

This patient study indicates significant differences of ultra-high-resolution scanning with PCD-CT on quantitative coronary plaque characterization. Reduced blooming artifacts may allow improved visualization of fibrotic and lipid-rich plaque components with the ultra-high-resolution mode of PCD-CT.

Multimodality Imaging in Ischemic Chronic Cardiomyopathy

Ischemic chronic cardiomyopathy (ICC) is still one of the most common cardiac diseases leading to the development of myocardial ischemia, infarction, or heart failure. The application of several imaging modalities can provide information regarding coronary anatomy, coronary artery disease, myocardial ischemia and tissue characterization. In particular, coronary computed tomography angiography (CCTA) can provide information regarding coronary plaque stenosis, its composition, and the possible evaluation of myocardial ischemia using fractional flow reserve CT or CT perfusion. Cardiac magnetic resonance (CMR) can be used to evaluate cardiac function as well as the presence of ischemia. In addition, CMR can be used to characterize the myocardial tissue of hibernated or infarcted myocardium. Echocardiography is the most widely used technique to achieve information regarding function and myocardial wall motion abnormalities during myocardial ischemia. Nuclear medicine can be used to evaluate perfusion in both qualitative and quantitative assessment. In this review we aim to provide an overview regarding the different noninvasive imaging techniques for the evaluation of ICC, providing information ranging from the anatomical assessment of coronary artery arteries to the assessment of ischemic myocardium and myocardial infarction. In particular this review is going to show the different noninvasive approaches based on the specific clinical history of patients with ICC.