International Journal of Cardiovascular Imaging最新文献

The myocardial performance index (MPI) is an index that shows both systolic and diastolic functions of the ventricle. Presystolic wave (PSW) is a late diastolic wave encountered in the left ventricular outflow tract (LVOT) and is associated with increased left ventricular stiffness and decreased left ventricular compliance. In our study, MPI was compared between patients with metabolic syndrome and normal patients, and we also investigated whether PSW could predict subclinical left ventricular dysfunction (SCLVD) in patients with metabolic syndrome. A total of 119 patients, 59 with metabolic syndrome and 60 healthy volunteers, were included in our study. Our study is a two-center prospective study. The patient groups were compared in terms of demographic, laboratory and echocardiographic parameters. Univariate and multivariate regression analyzes were performed to detect predictors of SCLVD. Higher MPI and PSW were found in patients with metabolic syndrome compared to the normal population (0.56 ± 0.11 vs. 0.46 ± 0.07, p < 0.001, 34 (57.6%) vs. 19 (31.7%), p = 0.004, respectively). MPI was found to be higher in patients with metabolic syndrome with PSW ( +) (0.59 ± 0.13 vs. 0.52 ± 0.05, p = 0.005). Smoking and PSW were found as Independent Predictors of Subclinical Left Ventricular Dysfunction in the Multivariate Logistic Regression Analysis Model (OR 0.146, 95%CI 0.028-0.767, p = 0.023 and OR 10.689, 95%CI 2.176-52.515, p = 0.004, respectively). Higher MPI and SCLVD were detected in patients with metabolic syndrome compared to the normal population. In addition, PSW positivity was associated with SCLVD in this patient group.

Objective: Incomplete recovery with long-term complications weeks beyond the acute coronavirus disease 2019 (COVID-19) infection is referred to as long COVID. Among the well-known long-term complications of COVID-19, myocardial damage is a frequently encountered side effect. Yet there is a lack of data for identifying high-risk patients who are more likely to develop long-term cardiovascular complications following COVID-19. Myocardial perfusion imaging (MPI) is the primary functional imaging modality in evaluating myocardial ischemia This study aimed to investigate the role of MPI in predicting myocardial ischemia in patients diagnosed with long COVID.

Methods: Subjects were selected from eligible long COVID patients and control subjects without a prior history of COVID-19 who were referred to the nuclear medicine department for stress and rest single-photon emission computed tomography (SPECT) MPI. All participants' past medical records and clinical, and demographic characteristics were scanned. In addition, patients undergoing coronary angiography (CAG) following SPECT MPI were documented and patients with critical coronary stenosis were identified.

Results: Our results revealed that long COVID patients had higher rates of abnormal summed stress scores compared to the control subjects (p < 0.05). Additionally, serum CRP level, SPECT lung-to-heart ratio (LHR), and the presence of long COVID were independent predictors of ischemia. The presence of long COVID was the best predictor of ischemia among the aforementioned parameters (p < 0.001).

Conclusion: Our data indicate that SPECT MPI provides comprehensive information on myocardial perfusion and left ventricular function in long COVID patients.

Transthoracic and transesophageal echocardiography detected a left atrial mass attached to the intra-atrialseptum. Intravenous contrast agent ruled out atrial thrombus, sugesting a left atrial myxoma. This highlights theimportance of contrast echocardiography for differential diagnosis of left atrial findings.

Chronic total occlusion (CTO) is a common finding in patients with known or suspected coronary artery disease and has a distinctive role in these patients' quality of life. However, there is still a lack of evidence of correct patient selection for percutaneous coronary intervention (PCI). From July 2017 to August 2020, 68 patients with successful PCI of a CTO and previous evidence of viability for PCI by cardiovascular magnetic resonance imaging (CMR) were prospectively included in this single-centre observational study. Of these patients, 62 underwent follow-up CMR, and 56 underwent surveys using the Seattle Angina Questionnaire before PCI and 3, 12 and 24 months after PCI. The CMR results were assessed for volumetric, functional and deformation parameters. From the baseline to the follow-up, there was a significant reduction in the left ventricular volumes (all p < 0.001) and an increase in the left ventricular ejection fraction (57.6 ± 11.6% vs. 60.3 ± 9.4%, p = 0.006). Among the deformation parameters, only the left ventricular radial strain showed significant improvement. The SAQ showed an early improvement that emphasised angina stability and frequency as well as a summary score, which persisted after 24 months. A low SAQ summary score before PCI was the best predictive factor of good clinical improvement thereafter. Improvements in myocardial function and quality of life can be achieved with PCI of a CTO. Patient selection for PCI should be performed primarily among relevantly symptomatic patients when evidence of viability for PCI is present. The SAQ can help guide such patient selection.Trial registration ISRCTN, identifier: ISRCTN33203221. Retrospectively registered on 01.04.2020. https://www.isrctn.com/ISRCTN33203221.

Aim: The COVID-19 disease primarily affects the respiratory system; however, cardiac involvement has been documented in the acute phase. We aimed to evaluate the cardiac autonomic function and subtle left ventricular dysfunction in those subjects recovered from mild to moderate acute COVID-19 patients but still symptomatic.

Methods and results: The study group was composed of 50 subjects with confirmed mild to moderate COVID-19. All subjects underwent routine 2D echocardiography assessment in addition to 2D speckle tracking and 24 h Holter monitoring for HRV analysis. The mean age of the study population was 42 ± 18 years; symptoms were reported as follows 27 (54%) had dyspnoea, 17 (34%) had palpitation, and 7 (14%) had dizziness. Time domain parameters Standard Deviation of NN intervals (SDNN), Standard Deviation of the Average NN intervals for each 5 min segment of a 24 h HRV recording (SDANN), and Root Mean Square of Successive RR interval Differences (rMSSD) were diminished with mean SDNN value being markedly impaired in 12 (24%) patients, while frequency domain parameters as assessed by the ratio of the Low-Frequency band power to the High-Frequency band power (LF/HF) with the mean of 1.837 with 8% of the patients being impaired. SDNN was significantly reduced in patients with impaired global longitudinal strain (p 0.000). The global longitudinal strain was diminished in 10 patients (20%); also, 80% of the patients with impaired GLS had decreased SDNN.

Conclusion: Our study targeted patients experiencing prolonged symptoms after COVID-19 illness. We detected a high incidence of GLS impairment using Speckle Tracking Echocardiography (STE) and a significant prevalence of diminished HRV. HRV (especially SDNN) and GLS were found to be significantly correlated.

Background: The presence of functional tricuspid regurgitation (TR) is associated with mortality and morbidity. Although uniform management with a tricuspid annuloplasty ring is currently considered as a standard surgical procedure, high rates of residual TR despite annuloplasty are reported. Therefore, the identification of the TR mechanisms would be necessary to provide personalized treatment for each TR patient.

Methods: This study population consisted of 106 patients with mitral regurgitation (MR) who were scheduled for procedure. Transthoracic and transesophageal echocardiography were performed prior to mitral valve intervention. We performed three-dimensional quantitative assessment including tricuspid annular (TA) area and the distance between the three commissures of tricuspid valve.

Results: Significant TR, which is defined as moderate or greater TR, was detected in 23 (22%). TA area (P < 0.01), the distance of septal-leaflet length (SL) (P = 0.03) and posterior-leaflet length (PL) (p = 0.02) were significantly associated with significant TR, while TA diameter assessed by transthoracic echocardiography was not. When patients were divided into four groups according to SL and PL, the group with longer SL and PL had a significantly higher incidence of significant TR (P < 0.01).

Conclusions: Greater stretch of the septal and posterior leaflet between commissures and larger TA area are associated with significant TR in patients with severe MR. In order to prevent TR recurrence, the intervention of the septal leaflet in tricuspid annuloplasty may be beneficial. The precise implement of three-dimensional transesophageal echocardiography of tricuspid valve is valuable for a personalized strategy of tricuspid annuloplasty.

Echocardiographic deformation curves provide detailed information on myocardial function. Deep neural networks (DNNs) may enable automated detection of disease features in deformation curves, and improve the clinical assessment of these curves. We aimed to investigate whether an explainable DNN-based pipeline can be used to detect and visualize disease features in echocardiographic deformation curves of phospholamban (PLN) p.Arg14del variant carriers. A DNN was trained to discriminate PLN variant carriers (n = 278) from control subjects (n = 621) using raw deformation curves obtained by 2D-speckle tracking in the longitudinal axis. A visualization technique was used to identify the parts of these curves that were used by the DNN for classification. The PLN variant carriers were clustered according to the output of the visualization technique. The DNN showed excellent discriminatory performance (C-statistic 0.93 [95% CI 0.87-0.97]). We identified four clusters with PLN-associated disease features in the deformation curves. Two clusters showed previously described features: apical post-systolic shortening and reduced systolic strain. The two other clusters revealed novel features, both reflecting delayed relaxation. Additionally, a fifth cluster was identified containing variant carriers without disease features in the deformation curves, who were classified as controls by the DNN. This latter cluster had a very benign disease course regarding development of ventricular arrhythmias. Applying an explainable DNN-based pipeline to myocardial deformation curves enables automated detection and visualization of disease features. In PLN variant carriers, we discovered novel disease features which may improve individual risk stratification. Applying this approach to other diseases will further expand our knowledge on disease-specific deformation patterns. Overview of the deep neural network-based pipeline for feature detection in myocardial deformation curves. Firstly, phospholamban (PLN) p.Arg14del variant carriers and controls were selected and a deep neural network (DNN) was trained to detect the PLN variant carriers. Subsequently, a clustering-based approach was performed on the attention maps of the DNN, which revealed 4 distinct phenotypes of PLN variant carriers with different prognoses. Moreover, a cluster without features and a benign prognosis was detected.

Advanced cardiac imaging techniques such as cardiovascular magnetic resonance (CMR) and positron emission tomography (PET) are widely used in clinical practice in patients with acute myocarditis and chronic inflammatory cardiomyopathies (I-CMP). We aimed to provide a review article with practical recommendations from the European Society of Cardiovascular Radiology (ESCR), in order to guide physicians in the use and interpretation of CMR and PET in clinical practice both for acute myocarditis and follow-up in chronic forms of I-CMP.