Cardiac Magnetic Resonance Research Articles

Favourable outcome of acute myocarditis diagnosed by cardiac magnetic resonance imaging

aim: Acute myocarditis (AM) is increasingly diagnosed in the era of more sensitive imaging techniques. The natural history of AM diagnosed on cardiac magnetic resonance imaging (cMRI) may be different to historic cohorts due to the detection of milder disease. This study aims to measure the outcome of patients with AM detected by cMRI. methods: We retrospectively reviewed all cMRI studies performed over a 10-year period between 2012 and 2022. Patients with a diagnosis of AM based on cMRI criteria and clinical assessment were selected for inclusion. results: One hundred and ninety-six patients were included. The mean age was 42 years and 79% were male. Chest pain, fever or viral prodrome and dyspnoea were the most common presenting symptoms, and one patient presented with cardiac arrest. On cMRI, nine patients had left ventricular ejection fraction <40% and 174 patients had evidence of late gadolinium enhancement, most commonly affecting the basal inferolateral and inferior segments in a subepicardial and mid-wall distribution. Five patients required admission to intensive care unit (ICU). Important outcomes included the occurrence of ventricular arrhythmias in 17, recurrent or chronic myocarditis in 15 and implantable cardioverter defibrillator insertion in five patients, respectively. After a median follow-up of 4.6 years, there were no cardiac-related deaths, and three patients died from malignancy-related causes. conclusion: Patients with AM diagnosed by cMRI have a favourable medium-term outcome. Severe left ventricular dysfunction and ICU admission are rare. cMRI should be considered early in patients with suspected AM.

The Diagnosis and Treatment of Hypertrophic Cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) with or without left ventricular outflow tract (LVOT) obstruction is a common primary myocardial disease, with a prevalence of 1:500. It is characterized by thickening of the myocardium. Its diagnostic evaluation includes history-taking and physical examination, genetic studies, transthoracic echocardiography, and cardiac MRI. When optimally treated, it carries a mortality of less than 1% per year. This review is based on pertinent publications retrieved by a selective literature search, including the current guidelines. In symptomatic patients with high LVOT gradients (≥ 50 mm Hg), the treatment of first choice is pharmacotherapy with non-vasodilating beta-blockers or non-dihydropyridine-type calcium channel antagonists. Common side effects include bradycardia and hypotension, and there is a risk of AV nodal blockade. Both substance classes lower the LVOT gradient. Beta-blockers alleviate dyspnea and improve patients' quality of life. Verapamil can increase physical resilience. A further option is mavacamten, a myosin inhibitor that gained approval in Germany in mid-2023: it, too, lowers the LVOT gradient and improves quality of life. In 7-10% of patients, there is a reversible reduction of the left ventricular ejection fraction to less than 50%. Septal reduction treatments can be considered if drug therapy fails. Attention must also be paid to the management of sequelae such as atrial fibrillation, malignant arrhythmias, and mitral valve insufficiency. Patients with HCM have a near-normal life expectancy if the disease is diagnosed early and treated according to the guidelines. The treatment of HCM and HOCM (hypertrophic obstructive cardiomyopathy) have been studied in no more than a few clinical trials, and randomized studies with clinical endpoints are needed.

Advantages of using T1-mapping in cardiac magnetic resonance imaging in patients with acromegaly

Aim. To determine the incidence of interstitial myocardial fibrosis (MF) in acromegaly, which leads to the development of cardiac arrhythmias and conduction disorders. Materials and methods. A single-center study was conducted, including 70 patients with acromegaly. All patients underwent standard medical examinations, including hormonal blood tests, electrocardiograms, echocardiography, Holter monitoring electrocardiograms and magnetic resonance imaging (MRI) of the heart with gadolinium contrast, additionally 48 patients underwent T1-mapping, which is an MRI method that allows the detection of diffuse changes by measuring the values of myocardial relaxation time – T1. Results. The study revealed a high incidence of MF – 53 (75.7%) cases (21 women, 32 men). The duration of the disease was found to be critical for myocardial remodeling (p=0.006). Compliance criteria for the T1-mapping technique were determined, with reduced T1-mapping values observed in 85.2% of cases. The ROC analysis (Receiver Operator Characteristic) determined the diagnostic value of post-contrast T1-mapping: AUC (Area Under the Curve)=0.906 (95% confidence interval 0.789–1.000), a sensitivity of 90%, and a specificity of 76.5%, indicating high diagnostic efficiency. According to the Youden index, a cut-off point of 372.5 ms was selected. Conclusion. Myocardial T1-mapping is a novel MRI method that allows to assess the degree of MF without the need for myocardial biopsy. The obtained information is crucial for the diagnosis and prognostic assessment of heart diseases, particularly in cases of hypertrophic cardiomyopathy or infiltrative diseases. The T1-mapping method, which is actively developing, can serve as a marker for early diffuse myocardial fibrosis and help determine the prognosis for patients with acromegalic cardiomyopathy.

Clinical phenotype of COVID-19 vaccine-associated myocarditis in Victoria, 2021-22: a cross-sectional study.

To describe myocarditis as an adverse event after coronavirus disease 2019 (COVID-19) vaccination, including a detailed description of clinical phenotypes and diagnostic test results and differences by age, sex, and degree of troponin level elevation. Retrospective cross-sectional study. Cases of suspected myocarditis following the administration of a COVID-19 vaccine in Victoria during 22February 2021 - 30 September 2022 reported to Surveillance of Adverse Events Following Vaccination In the Community (SAEFVIC), with symptom onset within 14 days of vaccination, and deemed to be confirmed myocarditis according to the Brighton Collaboration Criteria. Demographic (sex, broad age group), vaccine, and clinical presentation characteristics; cardiac investigation results (troponin levels, electrocardiography, echocardiography, cardiac magnetic resonance imaging [cMRI]). Of 454 SAEFVIC reports of suspected COVID-19 vaccine-associated myocarditis, 206 were deemed confirmed cases. The median age of people with confirmed myocarditis was 21 years (interquartile range [IQR], 16-32 years; range, 10-76 years); 129 were aged 24 years or younger (63%), 155 were male (75%). The median time from vaccination to symptom onset was two days (IQR, 1-4 days); 201 cases (98%) followed the administration of mRNA vaccines; five cases followed vaccination with AZD122. Forty-six cases followed first vaccine doses (22%), 138 second doses (67%), and 22 cases third vaccine doses (11.0%). In 201 cases, people initially presented to emergency departments; 129 people were admitted to hospital (63%; median length of stay, two days; IQR, 1-3 days). Five people were admitted to intensive care. Echocardiographic abnormalities were identified in 26 of 200 patients (13%); electrocardiographic abnormalities were identified in 105 of 206 patients (51%; less frequently in female than male patients: adjusted odds ratio, 0.75; 95% confidence interval, 0.64-0.89). Troponin levels were elevated in 205 of 206 patients; the median increase was greater in male (95.3-fold; IQR, 5.8-273-fold) than female patients (9.9-fold; IQR, 4.7-50-fold). No cMRI abnormalities were found in patients for whom the troponin increase was threefold or less. The clinical severity of COVID-19 vaccine-associated myocarditis in Victoria was generally mild. Markers of a more severe phenotype were more frequently recorded for male patients and people aged 24 years or younger. A threefold troponin increase could be used as a threshold for risk stratification of people with COVID-19 vaccine-associated myocarditis, especially in hospitals with limited access to cMRI facilities.

Association of Myocardial Perfusion and Coronary Flow Reserve with Prognosis in Patients with Aortic Stenosis: Systematic Review and Meta-Analysis

Background: Coronary microvascular disease is associated with adverse prognosis in a range of cardiovascular diseases, but its prognostic role in patients with aortic stenosis (AS) is unclear. The aim of this systematic review and meta-analysis is to determine the prognostic role of myocardial perfusion and coronary flow reserve, assessed using non-invasive imaging modalities, in patients with AS. Methods: We conducted a systematic review and meta-analysis of all studies assessing myocardial perfusion reserve (MPR) or coronary flow reserve (CFR) in patients with AS and reporting clinical outcomes, from inception to January 2024. The definition of abnormal MPR/CFR and major adverse cardiovascular events (MACE) was that used in each study. Estimates of effect were calculated from hazard ratios (HRs) and 95% confidence intervals (CIs) using a random-effects model. Results: Four studies comprising 384 participants met the inclusion criteria. Myocardial/coronary blood flow was assessed using Doppler echocardiography (n = 2), PET (n = 1), or cardiac magnetic resonance (n = 1). The median optimal cutoff for MPR/CFR across all studies was 2.01 (range 1.85–2.13), with 109 events. Impaired MPR/CFR was associated with a higher incidence of MACE (HR 3.67, 95% CI: 1.66, 8.09, I2 = 63%) in the overall population. Conclusions: Reduced MPR/CFR is associated with increased risk of MACE in patients with AS, although significant heterogeneity exists in published studies. Further studies are required to establish its role in the risk stratification of asymptomatic patients with AS.

Catheter Ablation of Parahisian Premature Ventricular Complexes From the Right Sinus of Valsalva.

Cather ablation of parahisian premature ventricular complexes (PVCs) often requires ablation in multiple cardiac chambers, including the sinuses of Valsalva (SoV). The safety and efficacy of ablation within the right SoV to target parahisian arrhythmias has not been widely reported. To report on the demographic and procedural characteristics of patients undergoing catheter ablation of PVCs who underwent ablation in the right SoV, and to examine the impact of late-gadolinium enhanced cardiac magnetic resonance (LGE-CMR) on procedural findings. Consecutive patients undergoing ablation of parahisian PVCs and ablation in the right SoV with preprocedural LGE-CMR were included. Eleven patients were included in the study population (11 males (100%), median age: 68 ± 7 years, median ejection fraction: 53% ± 7%, PVC burden 23% ± 13%). Intramural LGE-CMR scar was present in all patients and involved the basal anteroseptum/outflow tract in nine patients. Ablation within the right SoV eliminated (n = 9) or suppressed (n = 2) PVCs in all patients. The successful SoV site displayed the absolute earliest presystolic activation time or matching pacemaps in only 44% and 55% of patients, respectfully. Transient heart block during right SoV ablation occurred in 1/11(9%) patients. The post procedure PVC burden decreased from 23% ± 13% to 7% ± 6%, procedural success was attained in 10/11(91%) of patients. Parahisian PVCs ablated from the right SoV are often intramural, may require ablation in multiple chambers, and colocalize with intramural LGE-CMR scar. Traditional EGM markers of successful ablation sites were less frequently seen at successful site of SoV ablation, long term success was achieved in 91% of patients.

Cardiac Magnetic Resonance Imaging with Myocardial Strain Assessment Correlates with Cardiopulmonary Exercise Testing in Patients with Pectus Excavatum

Objectives: To evaluate correlations between cardiac magnetic resonance imaging (cMRI) at rest including strain imaging and variables derived from quantitative cardiopulmonary exercise testing using a treadmill in patients with pectus excavatum. Methods: We retrospectively correlated the results of cMRI and cardiopulmonary exercise testing in 17 patients with pectus excavatum, in whom both examinations were performed during their pre-operative clinical evaluation. In addition to cardiac volumetry, we assessed the strain rates of both ventricles using a feature-tracking algorithm of a piece of commercially available post-processing software. Results: Right ventricular (RV) ejection fraction correlated negatively with heart rate at anaerobic threshold (rho = −0.543, p = 0.024). A positive correlation between radial strain rate at the RV base and percentage of predicted maximum heart rate (rho = 0.72, p = 0.001) was shown, with equivalent results for circumferential strain rate (rho = −0.64, p = 0.005). Radial strain rate at the RV base correlated in a strongly negative way with maximum oxygen uptake (rho = −0.8, p < 0.001), with a correspondingly positive correlation for circumferential strain rate (rho = 0.73, p = 0.001). Conclusions: Quantitative parameters derived from cMRI at rest, especially those acquired at the most severely compressed RV base, correlated with cardiopulmonary exercise testing variables. The compression of the RV base by the sternum might be partially compensated by an increased strain rate to induce higher heart frequencies during exercise. However, high strain rates were associated with a higher disease severity and a lower maximum oxygen uptake, indicating a limitation of this compensation mechanism.

Strain Analysis for Early Detection of Fibrosis in Arrhythmogenic Cardiomyopathy: Insights from a Preliminary Study

Background: Arrhythmogenic cardiomyopathy (ACM) is a genetic disorder characterized by fibrofatty replacement of myocardial tissue, predominantly affecting the right ventricle (RV), but often involving the left ventricle (LV) as well. The early detection of fibrosis, crucial for risk stratification, has been enhanced by advanced imaging techniques. Global longitudinal strain (GLS) has shown promise as a surrogate marker for late enhancement (LE) in identifying myocardial fibrosis, yet precise cut-off values for strain are lacking. The aim of the study is to evaluate LV strain as a predictor of LE in ACM and to define strain cut-offs for early fibrosis detection, enhancing non-invasive diagnostic accuracy. Methods: This retrospective single-center study included 64 patients diagnosed with ACM. Echocardiographic analysis using speckle-tracking echocardiography was performed to assess LV strain. LE was evaluated through cardiac magnetic resonance (CMR) or via cardiac computed tomography (CCT) in cases with CMR contraindications. The study aimed to correlate regional LV strain values with the presence of LE, identifying cut-off values predictive of fibrosis. Results: The study found significant correlations between reduced LV strain values and the presence of LE, particularly in the anterolateral and inferolateral segments (p < 0.05). Specific strain thresholds, such as those for segment 12 (p = 0.02) and segment 17 (p = 0.03), were identified as predictive markers for LE. These findings suggest that strain imaging could serve as a non-invasive tool for the early detection of myocardial fibrosis in ACM patients. Conclusions: LV strain analysis offers potential as a non-invasive surrogate marker for myocardial fibrosis in ACM. Incorporating strain imaging into routine echocardiographic evaluations could improve early diagnosis and risk stratification, guiding patient management.

Changes in the Structure, Function, and Fat Content of the Heart in Patients with Obesity After Bariatric Surgery-A Prospective Magnetic Resonance Imaging Study.

Changes in myocardial fat in addition to changes in cardiac structure and function have not been accurately evaluated in obese patients following surgery. Forty-four obese patients who underwent sleeve gastrectomy and completed preoperative and postoperative cardiac magnetic resonance imaging (CMR) before surgery and at 1, 3, and 6 months after surgery were enrolled, and their clinical and laboratory data were collected. The differences and correlations between clinical, laboratory, and CMR parameters between the preoperative and postoperative groups were analysed. The left ventricular mass (LVM), left ventricle cardiac output (LVCO), pericardial adipose tissue volume (PATV), and myocardial proton density fat fraction (M-PDFF) decreased after surgery (all P < 0.05). The left ventricle global longitudinal strain increased at 6 months after surgery (P = 0.004). A decrease in BMI was positively correlated with the LVCO (r = 0.58, P < 0.001) at 3months after surgery and was positively correlated with the LVM and PATV (r = 0.54, P < 0.05) at 6months after surgery. Six months after surgery, the changes in PATV were positively correlated with the changes in triglycerides (r = 0.61, P < 0.01). There was a moderately positive correlation between the decrease in the LVM and PATV (r = 0.54 ~ 0.71, P < 0.02) after surgery. After surgery, the cardiac structure and function of obese patients significantly improved, the PATV and M-PDFF decreased, and there was a correlation between the structure and function of the heart and several clinical and laboratory indicators.

Automatic segmentation of pericardial adipose tissue from cardiac MR images via semi-supervised method with difference-guided consistency.

Accurate and automatic segmentation of pericardial adipose tissue (PEAT) in cardiac magnetic resonance (MR) images is essential for the diagnosis and treatment of cardiovascular diseases. Precise segmentation is challenging due to high costs and the need for specialized knowledge, as a large amount of accurately annotated data is required, demanding significant time and medicalresources. In order to reduce the burden of data annotation while maintaining the high accuracy of segmentation tasks, this paper introduces a semi-supervised learning method to solve the limitations of current PEAT segmentationmethods. In this paper, we propose a difference-guided collaborative mean teacher (DCMT) semi-supervised method, designed for the segmentation of PEAT from DCMT consists of two main components: a semi-supervised framework with a difference fusion strategy and a backbone network MCM-UNet using Mamba-CNN mixture (MCM) blocks. The differential fusion strategy effectively utilizes the uncertain areas in unlabeled data, encouraging the model to reach a consensus in predictions across these difficult-to-segment yet information-rich areas. In addition, considering the sparse and scattered distribution of PEAT in cardiac MR images, which makes it challenging to segment, we propose MCM-UNet as the backbone network in our semi-supervised framework. This not only enhances the processing ability of global information, but also accurately captures the detailed local features of the image, which greatly improves the accuracy of PEATsegmentation. Our experiments conducted on the MRPEAT dataset show that our DCMT method outperforms existing state-of-the-art semi-supervised methods in terms of segmentation accuracy. These findings underscore the effectiveness of our approach in handling the specific challenges associated with PEATsegmentation. The DCMT method significantly improves the accuracy of PEAT segmentation in cardiac MR images. By effectively utilizing uncertain areas in the data and enhancing feature capture with the MCM-UNet, our approach demonstrates superior performance and offers a promising solution for semi-supervised learning in medical image segmentation. This method can alleviate the extensive annotation requirements typically necessary for training accurate segmentation models in medicalimaging.

The size of myocardial infarction and peri-infarction edema are not major determinants of diastolic impairment after acute myocardial infarction.

To study the relationship between myocardial infarction size (IS), myocardial edema, and diastolic dysfunction after acute myocardial infarction (MI) both in the acute phase, and in the development of diastolic dysfunction in the follow-up setting. A further purpose is to study diastolic function using a mechanistic model as well as conventional parameters. Patients underwent cardiovascular magnetic resonance (CMR) imaging and echocardiography including mechanistic analysis using the parameterized diastolic filling method within 4-7days (acute) and 6months after a first acute anterior MI (n = 74). Linear regression modeling of echocardiographic diastolic parameters using CMR IS with and without inclusion of the myocardium at risk (MAR) and model comparisons with likelihood ratio tests were performed. Diastolic parameters at 6months follow-up were modelled using final IS. For most parameters there was no association with acute IS, except for deceleration time (R2 = 0.24, p < 0.001), left atrial volume index (R2 = 0.13, p = 0.01) and the mechanistic stiffness parameter (R2 = 0.21, p < 0.001). Adding MAR improved only the e' model (adjusted R2 increase: 0.08, p = 0.02). At 6months follow-up, final IS was only associated with viscoelastic energy loss (R2 = 0.22, p = 0.001). In acute MI, both IS and MAR are related to diastolic function but only to a limited extent. At 6months after infarction, increasing IS is related to less viscoelastic energy loss, albeit also to a limited extent. The relationship between IS and diastolic dysfunction seems to be mediated by mechanisms beyond simply the spatial extent of ischemia or infarction.

Low Penetrance Sarcomere Variants Contribute to Additive Risk in Hypertrophic Cardiomyopathy.

Classically, hypertrophic cardiomyopathy (HCM) has been viewed as a single-gene (monogenic) disease caused by pathogenic variants in sarcomere genes. Pathogenic sarcomere variants are individually rare and convey high risk for developing HCM (highly penetrant). Recently, important polygenic contributions have also been characterized. Low penetrance sarcomere variants (LowSVs) at intermediate frequencies and effect sizes have not been systematically investigated. We hypothesize that LowSVs may be common in HCM with substantial influence on disease risk and severity. Among all sarcomere variants observed in the Sarcomeric Human Cardiomyopathy Registry (SHaRe), we identified putative LowSVs defined by (1) population frequency greater than expected for highly penetrant (monogenic) HCM (allele frequency >5×10-5 in the Genome Aggregation Database, gnomAD) and (2) moderate enrichment (>2×) in patients with HCM compared with gnomAD. LowSVs were examined for their association with disease severity and clinical outcomes. Functional effects of selected LowSVs were assessed using induced pluripotent stem cell-derived cardiomyocytes. Association of LowSVs with HCM-adjacent traits in the general population was tested using UK Biobank cardiac magnetic resonance imaging data. Among 6045 patients and 1159 unique variants in sarcomere genes, 12 LowSVs were identified. LowSVs were collectively common in the general population (1:350) and moderately enriched in HCM (aggregate odds ratio, 14.9 [95% CI, 12.5-17.9]). Isolated LowSVs were associated with an older age of HCM diagnosis and fewer adverse events. However, LowSVs in combination with a pathogenic sarcomere variant conferred higher morbidity (eg, composite adverse event hazard ratio, 5.4 [95% CI, 3.0-9.8] versus single pathogenic sarcomere variant, 2.0 [95% CI, 1.8-2.2]; P<0.001). An intermediate functional impact was validated for 2 specific LowSVs-MYBPC3 c.442G>A (partial splice gain) and TNNT2 c.832C>T (intermediate effect on contractile mechanics). Cardiac magnetic resonance imaging analysis of the general population revealed 5 of 12 LowSVs were significantly associated with HCM-adjacent traits without overt HCM. This study establishes a new class of low penetrance sarcomere variants that are relatively common in the population. When penetrant, isolated LowSVs cause mild HCM. In combination with pathogenic sarcomere variants, LowSVs markedly increase disease severity, supporting a clinically significant additive effect. Last, LowSVs also contribute to age-related remodeling even in the absence of overt HCM.

Mean pulmonary artery pressure prediction with explainable multi-view cardiac MR cine series deep learning model

BackgroundPulmonary hypertension (PH) is a heterogeneous condition and regardless of aetiology impacts negatively on survival. Diagnosis of PH is based on hemodynamic parameters measured invasively at right heart catheterization (RHC), however, a non-invasive alternative would be clinically valuable. Our aim was to estimate RHC parameters non-invasively from cardiac MR data using deep learning models and to identify key contributing imaging features. MethodsWe constructed an explainable convolutional neural network (CNN) taking cardiac MR cine series from 4 different views as input to predict mean pulmonary artery pressure (mPAP). The model was trained and evaluated on 1646 examinations. The model’s attention weight and predictive performance associated with each frame, view, or phase was used to judge its importance. Additionally, the importance of each cardiac chamber was inferred by perturbing part of the input pixels. ResultsThe model achieved a Pearson Correlation Coefficient (PCC) of 0.80 and R2 of 0.64 in predicting mPAP, and identified the right ventricle (RV) region on short-axis (SAX) view to be especially informative. ConclusionsHemodynamic parameters can be estimated non-invasively with a CNN, using MR cine series from 4 views, revealing key contributing features at the same time.

Left Ventricular Hypertrophy in Aortic Stenosis: Early Cell and Matrix Regression 2 Months Post-Aortic Valve Replacement.

In aortic stenosis, the myocardium responds with left ventricular hypertrophy, which is characterized by increased left ventricular mass due to cellular hypertrophy and extracellular matrix expansion. Following aortic valve replacement (AVR), left ventricular hypertrophy regression occurs, but early cellular and extracellular dynamics are unknown. Patients with severe symptomatic aortic stenosis undergoing surgical or transcatheter AVR were prospectively recruited. Pre- and early post-AVR cardiac magnetic resonance imaging assessed left ventricular remodeling, global longitudinal strain, and T1 mapping to determine extracellular volume fraction and volume of cellular and extracellular compartments. In all, 39 patients (aged 71.4±9.8 years, male 79%, aortic valve peak velocity 4.4±0.5 m/s) underwent cardiac magnetic resonance before and at median 7.7 weeks post-AVR. Left ventricular mass index reduced significantly by 15.4% (P<0.001*), primarily driven by cellular compartment regression (18.7%, P<0.001*), with a smaller reduction in the extracellular compartment (7.2%, P<0.001*). This unbalanced regression led to an apparent increase in extracellular volume fraction (27.4±3.1% to 30.2±2.8%; P<0.001*). Although there was no significant change in global longitudinal strain post-AVR, an increase in extracellular volume fraction was associated with worsening of global longitudinal strain (Pearson r=0.41, P=0.01). Mode of intervention (transcatheter versus surgical) did not influence the above myocardial parameters post-AVR (all P>0.05). The asterisk in P values indicates a statistical significance of <0.05. Within 8 weeks of AVR for aortic stenosis, substantial left ventricular hypertrophy regression occurs involving both cellular and extracellular compartments, demonstrating the early myocardial adaptability to afterload relief. Cellular compartment regression is greater than extracellular regression, leading to an apparent increase in extracellular volume fraction. Mode of intervention did not affect degree of reverse remodeling, indicating that both are effective at resulting beneficial changes post-AVR. URL: https://www.isrctn.com; Unique identifier: NCT04627987.

Assessment of electrophysiological mechanisms of ventricular ectopia in arrhythmogenic right ventricular dysplasia

Relevance of the problem. Arrhythmogenic right ventricular dysplasia (ARVD) is one of the significant causes of sudden cardiac death (SCD) among young people. ARVD is characterized by premature ventricular ectopic contractions (PVCs) from the right ventricular outflow tract (RVOT), which may occur before morphological changes appear and, in these cases, it is necessary to assess the risk of developing SCD based on an analysis of the electrophysiological mechanism of the development of PVCs. Purpose of the study. To evaluate the electrophysiological mechanisms of PVCs in patients with ARVD according to stress tests. Material and methods. We examined 13 patients with confirmed ARVD on MRI, including 9 men and 4 women, aged from 26 to 63 years (42.9±11.0). All patients underwent the following studies: standard electrocardiography (ECG), 24-hour ECG monitoring, echocardiography, cardiac MRI, treadmill stress test. During the stress test, at each load level, ventricular ectopy was analyzed (morphology, number of ventricular ectopic complexes), and the dependence of corrected QTc on heart rate was assessed. Results. According to the data obtained, the patients were divided into two groups depending on the response of PVCs to physical activity. The first group – patients in whom the number of PVCs increased during physical activity – stress-induced ventricular ectopy – 10 people (77%). The second group – patients in whom the number of PVCs decreased, or they disappeared at the peak of the load – stress-inhibited ventricular ectopy – 3 people (23%). All patients had a normal reaction of the QT interval to physical activity – its shortening in response to an increase in heart rate. Conclusions. ARVD is characterized by ventricular ectopia from the right ventricle outflow tract or bifocal ectopia from the right ventricle outflow tract and the right ventricle apex. The electrophysiological mechanisms of ventricular ectopia in ARVD are different: the mechanism of trigger activity and increased automaticity.

Myocardial strain analysis by cardiac magnetic resonance associated with arrhythmias in repaired tetralogy of Fallot patients

BackgroundEvaluating myocardial function using cardiac magnetic resonance (CMR) feature tracking provides a comprehensive cardiac assessment, particularly a detailed evaluation for patients with repaired tetralogy of Fallot (rTOF). This study aimed to identify factors associated with arrhythmias in rTOF patients utilizing conventional CMR techniques, including myocardial strain measurements.MethodsThis single-center, retrospective study included 245 rTOF patients who underwent CMR between 2017 and 2023. Patients were stratified based on the presence or absence of arrhythmias during follow-up. The biventricular strain was assessed using CMR-derived feature tracking. Demographic, clinical, and imaging data were collected, and statistical analyses were performed to identify factors associated with arrhythmic events.ResultsThe median age at surgery was 5.6 years (range 1–44 years), with the median age at CMR was 27.5 years (range 15–69 years). Over the follow-up period, 25 patients (10.2%) experienced atrial or ventricular arrhythmias. Univariate analysis revealed significant associations between arrhythmic events and older age at surgery and CMR, lower functional class, larger heart size on chest radiograph, and prolonged QRS duration (QRSd). Additionally, arrhythmias were associated with increased right ventricular (RV) volume, reduced RV and left ventricular (LV) ejection fraction (EF), and impaired strain values. Multivariate binary logistic regression, adjusting for age at surgery, NYHA class, QRSd, and cardiothoracic ratio, identified that a lower RV EF (adjusted odds ratio [aOR] 6.97), RV global radial strain (GRS) (aOR 6.68), RV global circumferential strain (GCS) (aOR 6.36), RV global longitudinal strain (GLS) (aOR 3.14), and LV GRS (aOR 3.02) were all significantly associated with arrhythmias.ConclusionThis study highlights the significant contribution of CMR-derived myocardial strain measurements in predicting arrhythmic events in patients with rTOF. In addition to conventional RV EF, strain metrics—particularly those of the right ventricle- emerged as strong, independent predictors of arrhythmias, offering valuable prognostic information for clinical management in this patient population. These findings underscore the importance of myocardial strain analysis as a complementary tool to conventional imaging in evaluating arrhythmic risk in rTOF patients.Clinical trial numberNot applicable.

Prognostic value of advanced lung cancer inflammation index in heart failure patients: A comprehensive analysis.

The prognosis of heart failure (HF) is closely linked to inflammation and nutritional status. The advanced lung cancer inflammation index (ALI) is a composite indicator consisting of several parameters used to assess inflammation and nutritional status. Our study aimed to investigate the prognostic value of ALI in HF patients. The data from Study 1, which included 1359 HF patients, were extracted from the National Health and Nutrition Examination Survey (NHANES) database spanning the years 1999 to 2018. Study 2 analysed data from patients with HF who underwent cardiac magnetic resonance imaging examinations from 2020 to 2023. Kaplan-Meier curve analysis, Cox proportional hazard model, time-dependent receiver operating characteristic (ROC) curve and restricted cubic spline (RCS) were used to evaluate the relationship between ALI and long-term prognosis of patients with HF in Study 1. Logistic regression analysis was used to evaluate the correlation between ALI and left ventricular reverse remodelling, and RCS was used to determine any dose-response relationship. Spearman correlation was used to evaluate the relationship between ALI and indicators of cardiac structural changes. Study 1 found that the average age of the patients was 68years [inter-quartile range (IQR) 58-76], the proportion of males was 54.3%, and there were 699 all-cause mortality and 293 cardiovascular mortality cases. After adjusted by multivariable Cox regression analysis, elevated ALI levels were significantly associated with increased risks of all-cause [hazard ratio (HR)=0.58, 95% confidence interval (CI)=0.42-0.79, P<0.001] and cardiovascular mortality (HR=0.61, 95% CI=0.38-0.97, P=0.036) in patients with HF. A linear negative correlation was observed between ALI and both all-cause (P=0.0011 and P<0.001, P for nonlinear=0.3993) and cardiovascular mortality (P=0.0011, P for nonlinear=0.5198). Time-dependent ROC curves showed the predictive value of ALI for all-cause mortality [area under the curve (AUC)=0.678 in 3years, AUC=0.674 in 5years and AUC=0.683 in 10years] and cardiovascular mortality (AUC=0.694 in 3years, AUC=0.685 in 5years and AUC=0.697 in 10years). Study 2 included 79 patients; the average age of the patients was 44years (IQR 35-55); and the proportion of males was 74.7%. Adjusted multivariable logistic regression analysis indicated that high ALI levels were associated with left ventricular reverse remodelling (LVRR) in patients with HF following discharge from the hospital [odds ratio (OR)=3.16, 95% CI=1.06-10.8, P=0.049]. Spearman analysis revealed a correlation between ALI and extracellular volume (ECV) (r=-0.25, P=0.023). ALI is associated with all-cause and cardiovascular mortality risk and structural changes in the heart in patients with HF.

Holter Monitoring and Cardiac Biomarkers in Screening for Cardiac Sarcoidosis.

Early detection of cardiac sarcoidosis (CS) is crucial due to its association with severe complications such as ventricular arrhythmias, heart failure, and sudden cardiac death. Advanced imaging techniques like cardiac magnetic resonance imaging (CMR) and 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG-PET/CT) are effective in detecting CS but not easily accessible. The optimal method for selecting patients for advanced screening remains uncertain. In this retrospective cohort study, all extracardiac sarcoidosis patients screened for CS were reviewed. CS was defined as a multidisciplinary team (MDT) consensus diagnosis. Univariate and multivariate binary logistic regressions were used to identify factors associated with CS, assessing their diagnostic performance, and integrating them into a diagnostic model. Out of 354 patients (average age 51.5 years, 52.5% male), 18.4% were diagnosed with CS. In our cohort, male gender, a QRS duration > 120 ms, and nsVT on Holter monitoring were identified as significant markers associated with CS. Combining age, gender, AV-block or QRS > 120ms on ECG, and nsVT on Holter monitoring provided the highest diagnostic accuracy (AUC of 0.82). Cardiac biomarkers NT-proBNP and troponin T did not improve the diagnostic performance. In our cohort, male gender, a QRS duration > 120 ms, and nsVT on Holter monitoring were identified as significant markers associated with the presence of cardiac sarcoidosis. These clinical markers may aid in selecting sarcoidosis patients for screening with advanced cardiac imaging, potentially leading to earlier detection and management of the disease.

Immune Profile and MRI-Detected Cardiac Fibrosis and Edema in Hypertensive and Non-Hypertensive Patients with COVID-19

Cardiac involvement in 2019 coronavirus disease (COVID-19) survivors has been reported frequently. An exacerbated immune response may be the main mechanism of myocardial injury and late cardiac sequelae in this population. Background/Objectives: We investigated the immune profile in hypertensive and non-hypertensive patients with COVID-19 who developed late cardiac fibrosis and edema, as detected by magnetic resonance imaging (MRI). Methods: We evaluated associations of cytokine and immune-cell subset levels during hospitalization for COVID-19 with the presence of myocardial interstitial fibrosis [represented by the extracellular volume (ECV)] or edema (represented by the T2), detected by cardiac MRI examination after discharge, in hypertensive and non-hypertensive patients. Results: Patients with hypertension had reduced B-cell percentages, increased natural killer cell percentages, and higher interleukin (IL)-4, IL-5, IL-13, IL-17A, and tumor necrosis factor-β levels compared to patients without hypertension. Larger percentages of human leukocyte antigen DR isotope+ blood cells, reflecting CD8+ T-cell activation, correlated with increased T2 and ECV in hypertensive patients. The HLA-DR mean fluorescence intensity was associated with ECV in non-hypertensive patients. Conclusions: Our findings reveal cytokine and immune-cell dysregulation in both hypertensive and non-hypertensive patients with COVID-19, along with moderate correlations between CD8+ T-cell activation and increased cardiac MRI markers of myocardial interstitial fibrosis and edema. These results contribute to a deeper understanding of immune dysfunction mechanisms involved in myocardial remodeling.

Feasibility of position emission tomography derived endocardial wall strain: direct comparison with magnetic resonance using hybrid 13N ammonia PETMR system.

We aimed to evaluate the feasibility of positron emission tomography feature tracking (PETFT) for assessing endocardial wall strain by comparing it with cardiac magnetic resonance (CMR)-derived feature tracking (CMRFT). We enrolled 83 consecutive patients with coronary artery disease who underwent rest-pharmacologic stress 13N-ammonia PETMR (67 males, mean age 66years). PETFT and CMRFT were obtained through simultaneous acquisition with electrocardiography-gated PET and cine-CMR. Global longitudinal and circumferential strain (GLS and GCS) were calculated. Correlations and Bland-Altman plots were employed to evaluate associations, bias, and 95% limit of agreement (LOA) between PETFT and CMRFT. PETFT and CMRFT showed significant correlations (R = 0.57 [95% CI 0.41-0.70], R = 0.71 [95% CI 0.58-0.80], R = 0.59 [95% CI 0.43-0.71], and R = 0.69 [95% CI 0.56-0.79] for rest GLS, rest GCS, stress GLS, and stress GCS, respectively; p < 0.001 for all). Bland-Altman plot showed good agreements, while a systematic error was observed (LOA -10.2-8.8, -8.7-10.7, -10.5-8.5, and -9.4-12.0; bias -0.7, 1.0, -1.0, and 1.3; for rest GLS, rest GCS, stress GLS, and stress GCS; respectively). PETFT has been identified as a feasible technique compared to CMRFT, highlighting its potential as a novel tool for assessing wall strain in routine clinical settings.