BackgroundAs coronary computed tomography angiography (CCTA) has emerged as a non-invasive alternative for evaluation of coronary anatomy with a lower referral threshold than invasive coronary angiography (ICA), the prevalence of coronary anomalies in CCTA may more closely reflect the true prevalence in the general population. Morphological features of coronary anomalies can be evaluated more precisely by CCTA than by ICA, which might lead to a higher identification of congenital coronary anomalies in CCTA compared to ICA.To evaluate the incidence, clinical and morphological features of the anatomy of patients with coronary anomalies detected either by coronary computed tomography angiography (CCTA) with prospective ECG-triggering or invasive coronary angiography (ICA).MethodsConsecutive patients underwent 64-slice CCTA (n = 1′759) with prospective ECG-triggering or ICA (n = 9′782) and coronary anatomy was evaluated for identification of coronary anomalies to predefined criteria (origin, course and termination) according to international recommendations.ResultsThe prevalence of coronary anomalies was 7.9% (n = 138) in CCTA and 2.1% in ICA (n = 203; p < 0.01). The most commonly coronary anomaly detected by CCTA was myocardial bridging 42.8% (n = 59) vs. 21.2% (n = 43); p < 0.01, while with ICA an absent left main trunk was the most observed anomaly 36.0% (n = 73; p < 0.01). In 9.4% (n = 13) of identified coronary anomalies in CCTA 9.4% were potentially serious coronary anaomalies, defined as a course of the coronary artery between aorta and pulmonary artery were identified.ConclusionThe prevalence of coronary anomalies is substantially higher with CCTA than ICA even after exclusion of patients with myocardial bridging which is more frequently found with CCTA. This suggests that the true prevalence of coronary anomalies in the general population may have been underestimated based on ICA.

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We have evaluated the impact of increased body mass on the quality of myocardial perfusion imaging using a latest-generation g-camera with cadmium-zinc-telluride semiconductor detectors in patients with high ($40 kg/m 2 ) or very high ($45 kg/m 2 ) body mass index (BMI). Methods: We enrolled 81 patients, including 18 with no obesity (BMI , 30 kg/m 2 ), 17 in World Health Organization obese class I (BMI, 30-34.9 kg/m 2 ), 15 in class II (BMI, 35-39.9 kg/m 2 ), and 31 in class III (BMI $ 40 kg/m 2 ), including 15 with BMI $ 45 kg/m 2 . Image quality was scored as poor (1), moderate (2), good (3), or excellent (4). Patients with BMI $ 45 kg/m 2 and nondiagnostic image quality (#2) were rescanned after repositioning to better center the heart in the field of view. Receiver-operating-curve analysis was applied to determine the BMI cutoff required to obtain diagnostic image quality ($3). Results: Receiver-operating-curve analysis resulted in a cutoff BMI of 39 kg/m 2 (P , 0.001) for diagnostic image quality. In patients with BMI $ 40 kg/m 2 , image quality was nondiagnostic in 81%; after CT-based attenuation correction this decreased to 55%. Repositioning further improved image quality. Rescanning on a conventional SPECT camera resulted in diagnostic image quality in all patients with BMI $ 45 kg/m 2 . Conclusion: Patients with BMI $ 40 kg/m 2 should be scheduled for myocardial perfusion imaging on a conventional SPECT camera, as it is difficult to obtain diagnostic image quality on a cadmium-zinc-telluride camera.

Aims To assess the proportion of patients with heart failure and reduced ejection fraction (HFrEF) who are eligible for sacubitril/valsartan (LCZ696) based on the European Medicines Agency/Food and Drug Administration (EMA/FDA) label, the PARADIGM‐HF trial and the 2016 ESC guidelines, and the association between eligibility and outcomes. Methods and results Outpatients with HFrEF in the ESC‐EORP‐HFA Long‐Term Heart Failure (HF‐LT) Registry between March 2011 and November 2013 were considered. Criteria for LCZ696 based on EMA/FDA label, PARADIGM‐HF and ESC guidelines were applied. Of 5443 patients, 2197 and 2373 had complete information for trial and guideline eligibility assessment, and 84%, 12% and 12% met EMA/FDA label, PARADIGM‐HF and guideline criteria, respectively. Absent PARADIGM‐HF criteria were low natriuretic peptides (21%), hyperkalemia (4%), hypotension (7%) and sub‐optimal pharmacotherapy (74%); absent Guidelines criteria were LVEF>35% (23%), insufficient NP levels (30%) and sub‐optimal pharmacotherapy (82%); absent label criteria were absence of symptoms (New York Heart Association class I). When a daily requirement of ACEi/ARB ≥ 10 mg enalapril (instead of ≥ 20 mg) was used, eligibility rose from 12% to 28% based on both PARADIGM‐HF and guidelines. One‐year heart failure hospitalization was higher (12% and 17% vs. 12%) and all‐cause mortality lower (5.3% and 6.5% vs. 7.7%) in registry eligible patients compared to the enalapril arm of PARADIGM‐HF. Conclusions Among outpatients with HFrEF in the ESC‐EORP‐HFA HF‐LT Registry, 84% met label criteria, while only 12% and 28% met PARADIGM‐HF and guideline criteria for LCZ696 if requiring ≥ 20 mg and ≥ 10 mg enalapril, respectively. Registry patients eligible for LCZ696 had greater heart failure hospitalization but lower mortality rates than the PARADIGM‐HF enalapril group.

Cardiac positron emission tomography (PET) and positron emission tomography/computed tomography (PET/CT) are encouraging precise non-invasive imaging modalities that allow imaging of the cellular function of the heart, while other non-invasive cardiovascular imaging modalities are considered to be techniques for imaging the anatomy, morphology, structure, function and tissue characteristics. The role of cardiac PET has been growing rapidly and providing high diagnostic accuracy of coronary artery disease (CAD). Clinical cardiology has established PET as a criterion for the assessment of myocardial viability and is recommended for the proper management of reduced left ventricle (LV) function and ischemic cardiomyopathy. Hybrid PET/CT imaging has enabled simultaneous integration of the coronary anatomy with myocardial perfusion and metabolism and has improved characterization of dysfunctional areas in chronic CAD. Also, the availability of quantitative myocardial blood flow (MBF) evaluation with various PET perfusion tracers provides additional prognostic information and enhances the diagnostic performance of nuclear imaging.

Takotsubo cardiomyopathy is rapidly reversible heart failure syndrome that usually mimics the symptoms of acute myocardial infarction with the characteristic regional wall-motion abnormalities (classically with a virtual apical ballooning caused by hypokinetic or akinetic apical or midventricular myocardium and hypercontraction of the basal segments) and absence of obstructive coronary artery disease. TC is usually associated with identifiable emotional, psychological or physical stress event and most commonly appears in postmenopausal women. The certain pathophysiological mechanism remains unknown. However, the central hypothesis is supported by the excess of catecholamines and hyperactivity of nervous system. In the last decades the frequency of the TC diagnosis is increasing rapidly but at the initial presentation the diagnosis remains challenging due to the close similarities between TC and ST elevation myocardial infarction clinical presentations that consider TC as an important part of differential diagnosis in acute coronary syndrome.

To assess the impact of adaptive statistical iterative reconstruction (ASIR) on coronary plaque volume and composition analysis as well as on stenosis quantification in high definition coronary computed tomography angiography (CCTA). We included 50 plaques in 29 consecutive patients who were referred for the assessment of known or suspected coronary artery disease (CAD) with contrast-enhanced CCTA on a 64-slice high definition CT scanner (Discovery HD 750, GE Healthcare). CCTA scans were reconstructed with standard filtered back projection (FBP) with no ASIR (0 %) or with increasing contributions of ASIR, i.e. 20, 40, 60, 80 and 100 % (no FBP). Plaque analysis (volume, components and stenosis degree) was performed using a previously validated automated software. Mean values for minimal diameter and minimal area as well as degree of stenosis did not change significantly using different ASIR reconstructions. There was virtually no impact of reconstruction algorithms on mean plaque volume or plaque composition (e.g. soft, intermediate and calcified component). However, with increasing ASIR contribution, the percentage of plaque volume component between 401 and 500 HU decreased significantly (p \ 0.05). Modern image reconstruction algorithms such as ASIR, which has been developed for noise reduction in latest high resolution CCTA scans, can be used reliably without interfering with the plaque analysis and stenosis severity assessment.

A new generation of high definition computed tomography (HDCT) 64-slice devices complemented by a new iterative image reconstruction algorithm-adaptive statistical iterative reconstruction, offer substantially higher resolution compared to standard definition CT (SDCT) scanners. As high resolution confers higher noise we have compared image quality and radiation dose of coronary computed tomography angiography (CCTA) from HDCT versus SDCT. Consecutive patients (n = 93) underwent HDCT, and were compared to 93 patients who had previously undergone CCTA with SDCT matched for heart rate (HR), HR variability and body mass index (BMI). Tube voltage and current were adapted to the patient's BMI, using identical protocols in both groups. The image quality of all CCTA scans was evaluated by two independent readers in all coronary segments using a 4-point scale (1, excellent image quality; 2, blurring of the vessel wall; 3, image with artefacts but evaluative; 4, non-evaluative). Effective radiation dose was calculated from DLP multiplied by a conversion factor (0.014 mSv/mGy 9 cm). The mean image quality score from HDCT versus SDCT was comparable (2.02 ± 0.68 vs. 2.00 ± 0.76). Mean effective radiation dose did not significantly differ between HDCT (1.7 ± 0.6 mSv, range 1.0-3.7 mSv) and SDCT (1.9 ± 0.8 mSv, range 0.8-5.5 mSv; P = n.s.). HDCT scanners allow low-dose 64-slice CCTA scanning with higher resolution than SDCT but maintained image quality and equally low radiation dose. Whether this will translate into higher accuracy of HDCT for CAD detection remains to be evaluated.