86 research outputs found

    Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA

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    Background and aims: Artificial intelligence (AI) is increasing its role in diagnosis of patients with suspicious coronary artery disease. The aim of this manuscript is to develop a deep convolutional neural network (CNN) to classify coronary computed tomography angiography (CCTA) in the correct Coronary Artery Disease Reporting and Data System (CAD-RADS) category. Methods: Two hundred eighty eight patients who underwent clinically indicated CCTA were included in this single-center retrospective study. The CCTAs were stratified by CAD-RADS scores by expert readers and considered as reference standard. A deep CNN was designed and tested on the CCTA dataset and compared to on-site reading. The deep CNN analyzed the diagnostic accuracy of the following three Models based on CAD-RADS classification: Model A (CAD-RADS 0 vs CAD-RADS 1–2 vs CAD-RADS 3,4,5), Model 1 (CAD-RADS 0 vs CAD-RADS>0), Model 2 (CAD-RADS 0–2 vs CAD-RADS 3–5). Time of analysis for both physicians and CNN were recorded. Results: Model A showed a sensitivity, specificity, negative predictive value, positive predictive value and accuracy of 47%, 74%, 77%, 46% and 60%, respectively. Model 1 showed a sensitivity, specificity, negative predictive value, positive predictive value and accuracy of 66%, 91%, 92%, 63%, 86%, respectively. Conversely, Model 2 demonstrated the following sensitivity, specificity, negative predictive value, positive predictive value and accuracy: 82%, 58%, 74%, 69%, 71%, respectively. Time of analysis was significantly lower using CNN as compared to on-site reading (530.5 ± 179.1 vs 104.3 ± 1.4 sec, p=0.01) Conclusions: Deep CNN yielded accurate automated classification of patients with CAD-RADS

    Left and right ventricle assessment with Cardiac CT: validation study vs. Cardiac MR

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    Objectives To compare Magnetic Resonance (MR) and Computed Tomography (CT) for the assessment of left (LV) and right (RV) ventricular functional parameters. Methods Seventy nine patients underwent both Cardiac CT and Cardiac MR. Images were acquired using short axis (SAX) reconstructions for CT and 2D cine b-SSFP (balanced- steady state free precession) SAX sequence for MR, and evaluated using dedicated software. Results CT and MR images showed good agreement: LV EF (Ejection Fraction) (52±14% for CT vs. 52±14% for MR; r0 0.73; p>0.05); RV EF (47±12% for CT vs. 47±12% for MR; r00.74; p>0.05); LV EDV (End Diastolic Volume) (74± 21 ml/m 2 for CT vs. 76±25 ml/m 2 for MR; r00.59; p>0.05); RV EDV (84±25 ml/m 2 for CT vs. 80±23 ml/m 2 for MR; r0 0.58; p>0.05); LV ESV (End Systolic Volume)(37±19 ml/m 2 for CT vs. 38±23 ml/m 2 for MR; r00.76; p>0.05); RV ESV (46±21 ml/m 2 for CT vs. 43±18 ml/m 2 for MR; r00.70; p>0.05). Intra- and inter-observer variability were good, and the performance of CT was maintained for different EF subgroups. Conclusions Cardiac CT provides accurate and reproducible LVand RV volume parameters compared with MR, and can be considered as a reliable alternative for patients who are not suitable to undergo MR. Key Points • Cardiac-CT is able to provide Left and Right Ventricular function. • Cardiac-CT is accurate as MR for LV and RV volume assessment. • Cardiac-CT can provide accurate evaluation of coronary arteries and LV and RV function

    Territorial longitudinal strain discloses the culprit vessel in a patient with non-ST-segment elevation acute coronary syndrome

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    orthestudyrelatingtothiscasereportseeA.I.Guaricci,G. . vesselinpatientswithnon–ST-segmentelevationacute Chiarello, E. Gherbesi, L. Fusini, N. Soldato, P. Siena, et al. . coronary syndrome. European Heart Journal Open 2022; Coronary-specific quantification of myocardial deform- . doi: 10.1093/ehjopen/oeac010. https://doi.org/10.1093/ ation by strain echocardiography may disclose the culprit . ehjopen/oeac010

    Pulse-Cancellation Echocardiography for Clinical Evaluation of Myocardial Scar Burden

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    Purpose of Review: Echocardiography has been completely abandoned as far as myocardial tissue characterization is concerned, but recently, the possibility to detect scarred myocardial tissue has been revived. We review the most recent studies aiming to assess the presence of myocardial fibrosis or scar using echocardiography. Recent Findings: The use of a simple and clinically available ultrasound, such as method pulse-cancellation, is a promising add-on to standard echocardiography for the detection of scarred myocardial tissue, mostly, but not only, in the setting of post-myocardial infarction patients. Summary: Pulse-cancellation technique, available since at least 20 years ago on commercial ultrasound machines, is reasonably accurate to detect myocardial scar tissue caused by recent or prior myocardial infarction, the accuracy varying depending on the spatial distribution of myocardial scars in the left ventricle. Severe myocardial fibers disarray, as found in hypertrophic cardiomyopathy, can also be detected by this ultrasound method

    CarDiac MagnEtic Resonance for Primary Prevention Implantable CardioVerter DebrillAtor ThErapy international registry: Design and rationale of the DERIVATE study

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    Background: Implantable cardioverter defibrillator (ICD) represents the most valuable sudden cardiac death (SCD) prophylactic strategy in patients with heart failure and severely reduced left ventricular ejection fraction (LVEF). To date, it is still unknown how to integrate the information given by cardiac magnetic resonance (CMR) into clinical and transthoracic echocardiography (TTE) work-up of non-ischemic cardiomyopathy (NICM) and ischemic cardiomyopathy (ICM) patients for accurate risk stratification. Methods and results: DERIVATE is a prospective, international, multicenter, observational registry of NICM and ICM patients with chronic heart failure and reduced LVEF who will undergo clinical evaluation, TTE and CMR. The registry will enrol cohorts from 34 sites. Complete risk factor, clinical presentation, TTE and CMR data will be collected and each patient will be followed-up for outcomes. Primary end point of the study is all-cause mortality. Secondary end points are: cardiovascular death, SCD, aborted SCD, sustained ventricular tachycardia (VT), and major adverse cardiac events (MACE) defined as a composite endpoint of SCD, aborted SCD, and sustained VT. Specifically, we will determine CMR findings that predict outcomes, with incremental value over LVEF and NYHA classification. Secondary aims consist in providing a comprehensive clinical and imaging score and testing the contribution of machine learning to determine prognostic CMR parameters. Conclusions: The final objective of the study consists in the identification of prognostic CMR parameters in a large prospective cohort for a better selection of patients with heart failure being worthy of primary prevention ICD therapy. (clinicaltrials.gov registration: RTT# NCT03352648)

    Stress-echocardiography or coronary computed tomography in suspected chronic coronary syndrome after the 2019 European Guidelines? A practical guide

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    Stress-echocardiography can rightly be considered one of the champions of cardiac functional imaging, thanks to its real-Time imaging, high temporal resolution, high safety and very low cost. When stress-echocardiography is performed at top technical quality, hence taking advantage of ultrasound contrast media for endocardial border delineation at least for suboptimal cases, subjectivity is minimized, and with the routine use of coronary flow reserve measurement (left anterior descending coronary artery, stress/rest ratio reduced or normal, i.e. <>2.0) diagnostic sensitivity is strengthened.The true competitor of any type of functional imaging, stress-echocardiography included, is nowadays coronary computed tomography angiography, which is instead a diagnostic method directly, noninvasively assessing coronary anatomy, apparently the holy grail for any cardiologist. The new 2019 Guidelines on chronic coronary syndrome of the European Society of Cardiology change the existing landscape and clinical practice, while they probably cannot clarify which type of test, functional or anatomic, should be first chosen in different clinical scenarios of suspected chronic coronary syndrome.We review the existing data and the authors' personal view in order to assess how functional stress-echocardiography compares with coronary computed tomography angiography regarding three main aspects: diagnosis of coronary artery disease, guidance of therapy (coronary revascularization versus medical therapy) and risk stratification

    Acute clinical presentation of nonischemic cardiomyopathies: early detection by cardiovascular magnetic resonance

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    Nonischemic cardiomyopathies include a wide range of dilated, hypertrophic and arrhythmogenic heart muscle disorders, not explained by coronary artery disease, hypertension, valvular or congenital heart disease. Advances in medical treatments and the availability of implantable cardioverter defibrillators to prevent sudden cardiac death have allowed a substantial increase in the survival of affected individuals, thus making early diagnosis and tailored treatment mandatory. The characterization of cardiomyopathies has received a great boost from the recent advances in cardiovascular magnetic resonance (CMR) imaging, which, to date, represents the gold standard for noninvasive assessment of cardiac morphology, function and myocardial tissue changes.An acute clinical presentation has been reported in a nonnegligible proportion of patients with nonischemic cardiomyopathies, usually complaining of acute chest pain, worsening dyspnoea or palpitations; 'hot phases' of cardiomyopathies are characterized by a dynamic rise in high-sensitivity troponin, myocardial oedema on CMR, arrhythmic instability, and by an increased long-term risk of adverse remodelling, progression of myocardial fibrosis, heart failure and malignant ventricular arrhythmias. Prompt recognition of 'hot phases' of nonischemic cardiomyopathies is of utmost importance to start an early, individualized treatment in these high-risk patients. On the one hand, CMR represents the gold standard imaging technique to detect early and typical signs of ongoing myocardial remodelling in patients presenting with a 'hot phase' nonischemic cardiomyopathy, including myocardial oedema, perfusion abnormalities and pathological mapping values. On the other hand, CMR allows the differential diagnosis of other acute heart conditions, such as acute coronary syndromes, takotsubo syndrome, myocarditis, pericarditis and sarcoidosis. This review provides a deep overview of standard and novel CMR techniques to detect 'hot phases' of cardiomyopathies, as well as their clinical and prognostic utility

    Coronary atherosclerosis assessment by coronary CT angiography in asymptomatic diabetic population: A critical systematic review of the literature and future perspectives

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    The prognostic impact of diabetes mellitus (DM) on cardiovascular outcomes is well known. As a consequence of previous studies showing the high incidence of coronary artery disease (CAD) in diabetic patients and the relatively poor outcome compared to nondiabetic populations, DM is considered as CAD equivalent which means that diabetic patients are labeled as asymptomatic individuals at high cardiovascular risk. Lessons learned fromthe analysis of prognostic studies over the past decade have challenged this dogma and now support the idea that diabetic population is not uniformly distributed in the highest risk box. Detecting CAD in asymptomatic high risk individuals is controversial and, what ismore, in patients with diabetes is challenging, and that is why the reliability of traditional cardiac stress tests for detectingmyocardial ischemia is limited. Cardiac computed tomography angiography (CCTA) represents an emerging noninvasive technique able to explore the atherosclerotic involvement of the coronary arteries and, thus, to distinguish different risk categories tailoring this evaluation on each patient. The aim of the review is to provide a wide overview on the clinical meaning of CCTA in this field and to integrate the anatomical information with a reliable therapeutic approach
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