A rare case of inferior sinus venosus atrial septal defect and concomitant hypoplasia of the posterior mitral valve leaflet.

Inferior sinus venosus atrial septal defect (SVASD) is the rarest form of the atrial septal defect (ASD) and can sometimes go unnoticed. Although this defect can be associated with other congenital anomalies, its association with hypoplasia of the posterior mitral leaflet is extremely rare. In this case, we present a woman with a history of surgery for an ostium secundum ASD who exhibited persistent right heart chamber dilation. Echocardiography revealed hypoplasia of the posterior mitral leaflet, and cardiac magnetic resonance (CMR) imaging confirmed the presence of a previously undetected inferior sinus venosus ASD.

Incidence, Outcomes, and Predictors of Ventricular Thrombus after Reperfused ST-Segment-Elevation Myocardial Infarction by Using Sequential Cardiac MR Imaging.

Purpose To characterize the incidence, outcomes, and predictors of left ventricular (LV) thrombus by using sequential cardiac magnetic resonance (MR) imaging after ST-segment-elevation myocardial infarction (STEMI). Materials and Methods Written informed consent was obtained from all patients, and the study protocol was approved by the committee on human research. In a cohort of 772 patients with STEMI, 392 (mean age, 58 years; range, 24-89 years) were retrospectively selected who were studied with cardiac MR imaging at 1 week and 6 months. Cardiac MR imaging guided the initiation and withdrawal of anticoagulants. Patients with LV thrombus at 6 months were restudied at 1 year. For predicting the occurrence of LV thrombus, a multiple regression model was applied. Results LV thrombus was detected in 27 of 392 patients (7%): 18 (5%) at 1 week and nine (2%) at 6 months. LV thrombus resolved in 22 of 25 patients (88%) restudied within the first year. During a mean follow-up of 181 weeks ± 168, patients with LV thrombus displayed a very low rate of stroke (0%), peripheral embolism (0%), and severe hemorrhage (n = 1, 3.7%). LV ejection fraction (LVEF) less than 50% (P < .001) and anterior infarction (P = .008) independently helped predict LV thrombus. The incidence of LV thrombus was as follows: (a) nonanterior infarction, LVEF 50% or greater (one of 135, 1%); (b) nonanterior infarction, LVEF less than 50% (one of 50, 2%); (c) anterior infarction, LVEF 50% or greater (two of 92, 2%); and (d) anterior infarction, LVEF less than 50% (23 of 115, 20%) (P < .001 for the trend). Conclusion Cardiac MR imaging contributes information for the diagnosis and therapy of LV thrombus after STEMI. Patients with simultaneous anterior infarction and LVEF less than 50% are at highest risk. © RSNA, 2017 Online supplemental material is available for this article.

Detection and Classification of Myocardial Infarction Transmurality Using Cardiac MR Image Analysis and Machine Learning Algorithms.

The presence of abnormalities when the left ventricle is deformed is related to the patients' prognosis after a first myocardial infarction. These deformations can be detected by performing a cardiac magnetic resonance (CMR) study. Currently, late gadolinium enhancement (LGE) is considered to be the gold standard when performing CMR imaging. However, CMR with LGE overestimates infarct size and underestimates recovery of dysfunctional segments after myocardial infarction. Based on this statement, the objective is to detect, characterize, and quantify the extent of myocardial infarction in patients with cardiac pathologies, using parameters derived from CMR, in order to obtain greater precision in patients' recovery predictions than when only studying LGE images. For this purpose, we studied the infarct presence and extension from a total of 105 images from 35 patients, and calculated myocardium strain and torsion to characterize and quantify the affected tissue. A total of twenty-one parameters were selected to create predictive models. Moreover, we compared two feature extraction methods, and the performance of five machine learning algorithms. Results show that both temporal and strain parameters are the most relevant to detect and characterize the extent of myocardial infarction. The use of imaging techniques and machine learning algorithms have great potential and show promising results when it comes to detecting the presence and extent of myocardial infarction. The current study proposes a novel approach to detect, quantify, and characterize cardiac infarction by using strain and torsion parameters from different CMR images and different Machine Learning algorithms. This would potentially overcome LGE, the current state of the art technique, in estimating the extension of damaged tissue and enable an objective diagnosis and clinical decision.

Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer.

The number of studies in the medical field that uses machine learning and deep learning techniques has been increasing in the last years. However, these techniques require a huge amount of data that can be difficult and expensive to obtain. This specially happens with cardiac magnetic resonance (MR) images. One solution to the problem is raise the dataset size by generating synthetic data. Convolutional Variational Autoencoder (CVAe) is a deep learning technique which allows to generate synthetic images, but sometimes the synthetic images can be slightly blurred. We propose the combination of the CVAe technique combined with Style Transfer technique to generate synthetic realistic cardiac MR images. Clinical Relevance-The current work presents a tool to increase in a simple easy and fast way the cardiac magnetic resonance images dataset with which perform machine learning and deep learning studies.

Exercise ECG Testing and Stress Cardiac Magnetic Resonance for Risk Prediction in Patients With Chronic Coronary Syndrome.

PURPOSE: Vasodilator stress cardiac magnetic resonance (VS-CMR) has become crucial in the workup of patients with known or suspected chronic coronary syndrome (CCS). Whether traditional exercise ECG testing (ExECG) contributes prognostic information beyond VS-CMR is unclear. METHODS: We retrospectively included 288 patients with known or suspected CCS who had undergone ExECG and subsequent VS-CMR in our institution. Clinical, ExECG, and VS-CMR variables were recorded. We defined the serious adverse events (SAE) as a combined endpoint of acute coronary syndrome, admission for heart failure, or all-cause death. RESULTS: During a mean follow-up of 4.2 ± 2.15 yr, we registered 27 SAE (15 admissions for acute coronary syndrome, eight admissions for heart failure, and four all-cause deaths). Once adjusted for clinical, ExECG, and VS-CMR parameters associated with SAE, the only independent predictors were HRmax in ExECG (HR = 0.98: 95% CI, 0.96-0.99; P = .01) and more extensive stress-induced perfusion defects (PDs, number of segments) in VS-CMR (HR = 1.19: 95% CI, 1.07-1.34; P < .01). Adding HRmax significantly improved the predictive power of the multivariable model for SAE, including PDs (continuous reclassification improvement index: 0.47: 95% CI, 0.10-0.81; P < .05). The annualized SAE rate was 1% (if PD < 2 segments and HRmax > 130 bpm), 2% (if PD < 2 segments and HRmax ≤ 130 bpm), 3.2% (if PD ≥ 2 segments and HRmax > 130 bpm), and 6.3% (if PD ≥ 2 segments and HRmax ≤ 130 bpm), P < .01, for the trend. In patients on ß-blocker therapy, however, only PDs in VS-CMR, but not HRmax, predicted SAE. CONCLUSIONS: We conclude that ExECG contributes significantly to prognostic information beyond VS-CMR in patients with known or suspected CCS.

Cardiac sarcoidosis as an incidental finding: A case report.

BACKGROUND: This case illustrates the evaluation of a healthy young male with ECG anomalies in a perioperative electrocardiogram (ECG) that ended up with the diagnosis of a severe systemic disease. CASE: A 28-year-old man was attended at the outpatient cardiology department to perform a preoperative ECG for lacrimal duct obstruction surgery, which showed Q and T negative waves in inferior leads. Echocardiogram and cardiac magnetic resonance (CMR) displayed left ventricular (LV) aneurysm at basal segments of the inferior, posterior, and lateral wall with myocardial thinning and dyskinesia. CMR and thoracic computed tomography (CT) showed bilateral nodular images in parotid glands, cervical, and thoracic lymphadenopathies. All those findings suggested the diagnosis of sarcoidosis, which was supported by Gallium-67 single-photon emission computed tomography (SPECT) results and finally confirmed by skin biopsy. CONCLUSIONS: The present case highlights the complexity of sarcoidosis diagnosis. This young male was apparently asymptomatic; however, at presentation, he actually had three manifestations of active sarcoidosis: lacrimal duct obstruction, skin lesions, and cervical lymphadenopathies. It is essential to have a low threshold for sarcoidosis suspicion in the setting of unexplained systemic signs and symptoms.

Role of PCSK9 in the course of ejection fraction change after ST-segment elevation myocardial infarction: a pilot study.

AIMS: Proprotein convertase subtilisin/kexin type 9 (PCSK9) has emerged as a therapeutic target for reducing plasma low-density lipoprotein cholesterol. Beyond lipid control, recent findings suggest a deleterious effect of this protein in the pathogenesis of postmyocardial infarction left ventricle remodelling and heart failure-related complications. The aim of this study was to assess the relationship between circulating PCSK9 and 6 month cardiac magnetic resonance imaging-derived left ventricular ejection fraction (LVEF) after a first ST-segment elevation myocardial infarction (STEMI). METHODS AND RESULTS: We prospectively evaluated 40 patients with a first STEMI, LVEF < 50% and treated with primary percutaneous coronary intervention in which PCSK9 was measured 24 h postreperfusion. All patients underwent cardiac magnetic resonance imaging 1 week and 6 months after STEMI. Baseline characteristics were compared across median values of PCSK9. The association between PCSK9 levels and LVEF at 6 months was evaluated by analysis of covariance. The mean age of the sample was 60 ± 12 years and 33 (82.5%) were male patients. The infarct location was anterior in 27 patients (67.5%), and 9 patients (22.5%) were Killip class ≥ II. The mean 1 week and 6 month LVEF were 41 ± 7% and 48 ± 10%, respectively. The mean PCSK9 was 1.93 ± 0.38 U/mL. Testing the association between serum PCSK9 and 6 month LVEF with analysis of covariance revealed an inverse relationship (r = -0.35, P = 0.028). After multivariate adjustment, circulating PCSK9 remained significant and inversely associated with 6 month LVEF (P = 0.002). CONCLUSIONS: In patients with a first STEMI with reduced ejection fraction at index admission and treated with primary percutaneous coronary intervention, circulating PCSK9 was associated with lower LVEF at 6 months.

ST2 and left ventricular remodeling after ST-segment elevation myocardial infarction: A cardiac magnetic resonance study.

BACKGROUND: The association of soluble interleukin-1 receptor-like 1 (ST2) with left ventricular (LV) remodeling is unclear in patients with a first ST-segment elevation myocardial infarction (STEMI). The objective of this work was to assess the relationship between ST2, a marker of inflammation, and cardiac magnetic resonance (CMR) imaging-derived LV remodeling after a first STEMI. METHODS: We prospectively evaluated 109 patients with a first STEMI treated with primary percutaneous coronary intervention who had ST2 assessed 24 h post-reperfusion. All patients underwent CMR imaging 1 week and 6 months after STEMI. The independent associations between ST2, LV diastolic and systolic volume indices, and LV ejection fraction (LVEF) were evaluated by linear mixed models. RESULTS: The mean age of the sample was 59 ±â€¯12 years, 85 patients (78%) were male, and 13 (11.9%) had a LVEF ≤40%. The median (IQR) of ST2 was 55.3 (38.7-94.1) pg/mL. At 1-week CMR higher ST2 was related to more infarct size and less myocardial salvage index (p < 0.01). Overall, after comprehensive multivariable adjustment, higher baseline ST2 was associated with progressive LV volume indices dilation and LVEF deterioration (p < 0.05). This effect was stronger in patients with severe 1-week structural damage, namely those with large infarct size, extensive microvascular obstruction or LVEF ≤40%. CONCLUSIONS: In patients with a first STEMI treated with primary percutaneous coronary intervention, soluble ST2 predicts dynamic changes in CMR-derived LV volumes and LVEF. Future studies must assess whether targeting interleukin-1 leads to lower ST2 levels and less LV remodeling.

Changes in myocardial iron content following administration of intravenous iron (Myocardial-IRON): Study design.

Treatment with intravenous ferric carboxymaltose (FCM) has been shown to improve symptoms, functional capacity, and quality of life in patients with heart failure and iron deficiency. However, the underlying mechanisms for these beneficial effects remain undetermined. The aim of this study is to quantify cardiac magnetic resonance changes in myocardial iron content after administration of intravenous FCM in patients with heart failure and iron deficiency and contrast them with parameters of heart failure severity. This is a multicenter, double-blind, randomized study. Fifty patients with stable symptomatic heart failure, left ventricular ejection fraction <50%, and iron deficiency will be randomly assigned 1:1 to receive intravenous FCM or placebo. Intramyocardial iron will be evaluated by T2* and T1 mapping cardiac magnetic resonance sequences before and at 7 and 30 days after FCM. After 30 days, patients assigned to placebo will receive intravenous FCM in case of persistent iron deficiency. The main endpoint will be changes from baseline in myocardial iron content at 7 and 30 days. Secondary endpoints will include the correlation of these changes with left ventricular ejection fraction, functional capacity, quality of life, and cardiac biomarkers. The results of this study will add important knowledge about the effects of intravenous FCM on myocardial tissue and cardiac function. We hypothesize that short-term (7 and 30 days) myocardial iron content changes after intravenous FCM, evaluated by cardiac magnetic resonance, will correlate with simultaneous changes in parameters of heart failure severity. The study is registered at http://www.clinicaltrials.gov (NCT03398681).