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Myocardial feature tracking (FT) provides a comprehensive analysis of myocardial deformation from cine balanced steady-state free-precession images (bSSFP). However, FT remains time-consuming, precluding its clinical adoption.To compare left-ventricular global radial strain (GRS) and global circumferential strain (GCS) values measured using automated DeepStrain analysis of short-axis cine images to those calculated using manual commercially available FT analysis.Retrospective, single-center.A total of 30 healthy subjects and 120 patients with cardiac disease for DeepStrain development. For evaluation, 47 healthy subjects (36 male, 53 ± 5 years) and 533 patients who had undergone a clinical cardiac MRI (373 male, 59 ± 14 years). FIELD STRENGTH/SEQUENCE: bSSFP sequence at 1.5 T (Phillips) and 3 T (Siemens).Automated DeepStrain measurements of GRS and GCS were compared to commercially available FT (Circle, cvi42) measures obtained by readers with 1 year and 3 years of experience. Comparisons were performed overall and stratified by scanner manufacturer.Paired t-test, linear regression slope, Pearson correlation coefficient (r).Overall, FT and DeepStrain measurements of GCS were not significantly different (P = 0.207), but measures of GRS were significantly different. Measurements of GRS from Philips (slope = 1.06 [1.03 1.08], r = 0.85) and Siemens (slope = 1.04 [0.99 1.09], r = 0.83) data showed a very strong correlation and agreement between techniques. Measurements of GCS from Philips (slope = 0.98 [0.98 1.01], r = 0.91) and Siemens (slope = 1.0 [0.96 1.03], r = 0.88) data similarly showed a very strong correlation. The average analysis time per subject was 4.1 ± 1.2 minutes for FT and 34.7 ± 3.3 seconds for DeepStrain, representing a 7-fold reduction in analysis time.This study demonstrated high correlation of myocardial GCS and GRS measurements between freely available fully automated DeepStrain and commercially available manual FT software, with substantial time-saving in the analysis.3 TECHNICAL EFFICACY: Stage 3.

Layered plaques are the effect of a previous plaque event. They are associated with coronary spasm and found in more than 50% of patients with stable angina and a quarter of those with an acute coronary syndrome. Nevertheless, it is not clear whether their presence is indicative of a healing process or rather is predictive of an increased risk of future events. A 71-year-old male, heavy smoker and hypertensive, presented with episodes of angina at rest that resolved spontaneously in less than 5 minutes, with evidence of ST-segment elevation (STE) in the lower leads during one of these episodes. Coronary angiography showed an intermediate stenosis at the end of the mid segment of the dominant right coronary artery (RCA) (Figure A). Optical coherence tomography (OCT) revealed a layered plaque, consisting of high backscattering layers alternated with low reflection layers (Figures A1-3). Given the minimum luminal area of 3.65 mm2 and the absence of other criteria for plaque instability (erosion, thin-cap, etc.), we treated the patient conservatively with medical therapy alone, consisting of a single antiplatelet agent and a high-dose statin with ezetimibe. A non-dihydropyridine calcium antagonist and a long-acting nitrate were started given the suspicion of coronary spasm. Four months later the patient returned to the emergency department for persistent oppressive chest pain unresponsive to sublingual nitrates with evidence of STE in the lower leads. Emergency coronary angiography showed an acute occlusion of RCA with TIMI 0 flow in correspondence to the layered plaque highlighted 4 months earlier on OCT (Figure B). Antegrade flow was restored with manual thrombus aspiration (Figure C) and OCT showed lesion progression with many new layers, together with a cavity suggestive of plaque rupture (Figures C1-3). A 3.5×38 mm everolimus eluting stent was deployed – based on OCT sizing – and post-dilated with a 4.0×8 mm non-compliant balloon, obtaining an excellent angiographic result with TIMI 3 flow (Figure D). Low-reflecting layers within layered plaques are generally considered to be lipid deposits, but they could also represent intraplaque haemorrhages, generated by coronary spasm. The haematoma can be reorganised within the plaque to create a new layer, leading to lesion progression without necessarily requiring a loss of endothelial integrity. The progressive increase of the haematoma may lead to plaque rupture when the pressure exceeds the resistance of superficial layers. This case reveals a new possible mechanism of plaque progression in patients with coronary spasm and explains how layered plaques can be ambivalently considered to be either stable or vulnerable. Their treatment should be meticulously tailored not only based on classical criteria of plaque instability but also according to the underlying trigger mechanism.

Transcatheter aortic valve implantation (TAVI) has emerged as an alternative treatment for symptomatic severe aortic stenosis in patients deemed to be at high operative risk for the surgery. Despite its high success, TAVI is associated with rare life-threatening complications. The frequency of aortic annular rupture (AAR) has been reduced by advances in pre-procedural screening and patient selection but, when occurs, often requires emergency surgery with a very high mortality. We described an unusual case managed conservatively. A 86-year-old female patient with NYHA Class III and STS score for mortality of 4.8% underwent TAVI via a transfemoral approach. At preprocedural MDCT the aortic annular area was 293 mm2 with severe calcification of the valve leaflets extending in the outflow tract and in the sinotubular junction with effacement of the coronary sinuses (Fig. 1A-B). Following deployment of a 23-mm self-expanding valve (Medtronic Evolut Pro+) without predilatation, moderate-to-severe residual aortic regurgitation (AR) was observed (Vid. 1). After balloon post-dilatation using a 20×40mm noncompliant (NC) OSYPKA - VACS III balloon, mild-to-moderate AR still persisted (Fig. 1C, Vid. 2). Accordingly, we decided to perform a second post-dilatation using a 22×40mm NC balloon which reduced AR to mild but caused a contained AAR was observed (Fig. D&E, Vid. 3). The patient remained hemodynamically stable with no chest pain and had no pericardial effusion on echo. The risk of a Bentall operation in such a frail elderly patient was judged prohibitive and a conservative strategy was recommended. Postprocedural MDCT confirmed the presence of a pseudoaneurysm with the maximum dimensions of 24×15 mm (Fig. 1F). Patient was followed-up for 23 days first in hospital keeping a low blood pressure with iv nitrates and then in a rehabilitation centre. An MDCT control on day 10 showed no growth of the pseudoaneurysm with a reduction of the brisk filling initially observed. She was discharged without additional problems, and scheduled for a three month control MDCT. Established risk factors for AAR include valve and balloon oversizing, bicuspid valve, small annulus, shallow Valsalva sinuses, and massive annular or sub/supra-annular calcification. When these recognized risk factors are present, a conservative strategy for valve postdilatation is strongly recommended. Early recognition and prompt surgical management of AAR are essential but occasionally also a conserative strategy can prove successful.

BACKGROUND Heart failure patients with preserved ejection fraction (HFpEF) are at increased risk of future hospitalization. Contrast agents are often contra-indicated in HFpEF patients due to the high prevalence of concomitant kidney disease. Therefore, the prognostic value of a noncontrast cardiac magnetic resonance imaging (MRI) for HF-hospitalization is important. PURPOSE To develop and test an explainable machine learning (ML) model to investigate incremental value of noncontrast cardiac MRI for predicting HF-hospitalization. STUDY TYPE Retrospective. POPULATION A total of 203 HFpEF patients (mean, 64 ± 12 years, 48% women) referred for cardiac MRI were randomly split into training validation (143 patients, ~70%) and test sets (60 patients, ~30%). FIELD STRENGTH A 1.5 T, balanced steady-state free precession (bSSFP) sequence. ASSESSMENT Two ML models were built based on the tree boosting technique and the eXtreme Gradient Boosting model (XGBoost): 1) basic clinical ML model using clinical and echocardiographic data and 2) cardiac MRI-based ML model that included noncontrast cardiac MRI markers in addition to the basic model. The primary end point was defined as HF-hospitalization. STATISTICAL TESTS ML tool was used for advanced statistics, and the Elastic Net method for feature selection. Area under the receiver operating characteristic (ROC) curve (AUC) was compared between models using DeLong's test. To gain insight into the ML model, the SHapley Additive exPlanations (SHAP) method was leveraged. A P-value

PURPOSE To reduce inflow and motion artifacts in free-breathing, free-running, steady-state spoiled gradient echo T1 -weighted (SPGR) myocardial perfusion imaging. METHOD Unsaturated spins from inflowing blood or out-of-plane motion cause flashing artifacts in free-running SPGR myocardial perfusion. During free-running SPGR, 1 non-selective RF excitation was added after every 3 slice-selective RF excitations to suppress inflow artifacts by forcing magnetization in neighboring regions to steady-state. Bloch simulations and phantom experiments were performed to evaluate the impact of the flip angle and non-selective RF frequency on inflowing spins and tissue contrast. Free-running perfusion with (n = 11) interleaved non-selective RF or without (n = 11) were studied in 22 subjects (age = 60.2 ± 14.3 years, 11 male). Perfusion images were graded on a 5-point Likert scale for conspicuity of wall enhancement, inflow/motion artifact, and streaking artifact and compared using Wilcoxon sum-rank testing. RESULT Numeric simulation showed that 1 non-selective RF excitation applied after every 3 slice-selective RF excitations produced superior out-of-plane signal suppression compared to 1 non-selective RF excitation applied after every 6 or 9 slice-selective RF excitations. In vitro experiments showed that a 30° flip angle produced near-optimal myocardial contrast. In vivo experiments demonstrated that the addition of interleaved non-selective RF significantly (P < .01) improved conspicuity of wall enhancement (mean score = 4.4 vs. 3.2) and reduced inflow/motion (mean score = 4.5 vs. 2.5) and streaking (mean score = 3.9 vs. 2.4) artifacts. CONCLUSION Non-selective RF excitations interleaved between slice-selective excitations can reduce image artifacts in free-breathing, ungated perfusion images. Further studies are warranted to assess the diagnostic accuracy of the proposed solution for evaluating myocardial ischemia.

PURPOSE To develop a free-breathing sequence, that is, Multislice Joint T1 -T2 , for simultaneous measurement of myocardial T1 and T2 for multiple slices to achieve whole left-ventricular coverage. METHODS Multislice Joint T1 -T2 adopts slice-interleaved acquisition to collect 10 single-shot electrocardiogram-triggered images for each slice prepared by saturation and T2 preparation to simultaneously estimate myocardial T1 and T2 and achieve whole left-ventricular coverage. Prospective slice-tracking using a respiratory navigator and retrospective image registration are used to reduce through-plane and in-plane motion, respectively. Multislice Joint T1 -T2 was validated through numerical simulations and phantom and in vivo experiments, and compared with saturation-recovery single-shot acquisition and T2 -prepared balanced Steady-State Free Precession (T2 -prep SSFP) sequences. RESULTS Phantom T1 and T2 from Multislice Joint T1 -T2 had good accuracy and precision, and were insensitive to heart rate. Multislice Joint T1 -T2 yielded T1 and T2 maps of nine left-ventricular slices in 1.4 minutes. The mean left-ventricular T1 difference between saturation-recovery single-shot acquisition and Multislice Joint T1 -T2 across healthy subjects and patients was 191 ms (1564 ± 60 ms versus 1373 ± 50 ms; P < .05) and 111 ms (1535 ± 49 ms vs 1423 ± 49 ms; P < .05), respectively. The mean difference in left-ventricular T2 between T2 -prep SSFP and Multislice Joint T1 -T2 across healthy subjects and patients was -6.3 ms (42.4 ± 1.4 ms vs 48.7 ± 2.5; P < .05) and -5.7 ms (41.6 ± 2.5 ms vs 47.3 ± 2.7; P < .05), respectively. CONCLUSION Multislice Joint T1 -T2 enables quantification of whole left-ventricular T1 and T2 during free breathing within a clinically feasible scan time of less than 2 minutes.

Purpose To develop and validate a saturation-delay-inversion recovery preparation, slice tracking and multi-slice based sequence for measuring whole-heart native T1 . Method The proposed free-breathing sequence performs T1 mapping of multiple left-ventricular slices by slice-interleaved acquisition to collect 10 electrocardiogram-triggered single-shot slice-selective images for each slice. A saturation-delay-inversion recovery pulse is used for T1 preparation. Prospective slice tracking by the diaphragm navigator and retrospective registration are used to reduce through-plane and in-plane motion, respectively. The proposed sequence was validated in both phantom and human subjects (12 healthy subjects and 15 patients who were referred for a clinical cardiac MR exam) and compared with saturation recovery single-shot acquisition (SASHA) and modified Look-Locker inversion recovery (MOLLI). Results Phantom T1 measured by the proposed sequence had excellent agreement (R2 = 0.99) with the ground-truth T1 and was insensitive to heart rate. In both healthy subjects and patients, the proposed sequence yielded nine left-ventricular T1 maps per volume in less than 2 minutes (healthy volunteers: 1.8 ± 0.4 minutes; patients: 1.9 ± 0.2 minutes). The average T1 of whole left ventricle for all healthy subjects and patients were 1560 ± 61 and 1535 ± 49 ms by SASHA, 1208 ± 42 and 1233 ± 56 ms by MOLLI5(3)3, and 1397 ± 34 and 1433 ± 56 ms by the proposed sequence, respectively. The corresponding coefficient of variation of T1 were 6.2 ± 1.4% and 5.8 ± 1.6%, 5.3 ± 1.1% and 5.1 ± 0.8%, and 4.9 ± 0.8% and 4.5 ± 0.8%, respectively. Conclusion The proposed sequence enables quantification of whole heart T1 with good accuracy and precision in less than 2 minutes during free breathing.

To develop and evaluate a free breathing non-electrocardiograph (ECG) myocardial TA free-running TNumerical simulation demonstrated that changes in TThe free-running T

Purpose To develop and evaluate a real-time phase contrast (PC) MRI protocol via complex-difference deep learning (DL) framework. Methods DL used two 3D U-nets to separately filter aliasing artifact from radial real-time velocity-compensated and complex-difference images. U-nets were trained with synthetic real-time PC generated from electrocardiograph (ECG) -gated, breath-hold, segmented PC (ECG-gated segmented PC) acquired at the ascending aorta of 510 patients. In 21 patients, free-breathing, ungated real-time (acceleration rate = 28.8) and ECG-gated segmented (acceleration rate = 2) PC were prospectively acquired at the ascending aorta. Hemodynamic parameters (cardiac output [CO], stroke volume [SV], and mean velocity at peak systole [peak mean velocity]) were measured for ECG-gated segmented and DL-filtered synthetic real-time PC and compared using Bland-Altman and linear regression analyses. Additionally, hemodynamic parameters were quantified from DL-filtered, compressed-sensing (CS) -reconstructed, and gridding reconstructed prospective real-time PC and compared to ECG-gated segmented PC. Results Synthetic real-time PC with DL showed strong correlation (R > 0.98) and good agreement with ECG-gated segmented PC for quantified hemodynamic parameters (mean-difference: CO = -0.3 L/min, SV = -4.3 mL, peak mean velocity = -2.3 cm/s). On average, DL required 0.39 s/frame to filter prospective real-time PC, which was 4.6-fold faster than CS. Compared to CS, DL showed superior correlation, tighter limits of agreement (LOAs), better bias for peak mean velocity, and worse bias for CO and SV. Compared to gridding, DL showed similar correlation, tighter LOAs for CO and SV, similar bias for CO, and worse bias for SV and peak mean velocity. Conclusion The complex-difference DL framework accelerated real-time PC-MRI by nearly 28-fold, enabling rapid free-running real-time assessment of flow hemodynamics.

We developed a deep convolutional neural network (CNN) based method to remove streaking artefact from accelerated radial acquisitions of myocardial T

Objectives This study sought to investigate the sensitivity of electroanatomical mapping (EAM) to detect scar as identified by late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR). Background Previous studies have shown correlation between low voltage electrogram amplitude and myocardial scar. However, voltage amplitude is influenced by the distance between the scar and the mapping surface and its extent. The aim of this study is to examine the reliability of low voltage EAM as a surrogate for myocardial scar using LGE-derived scar as the reference. Methods Twelve swine underwent anterior wall infarction by occlusion of the left anterior descending artery (LAD) (n = 6) or inferior wall infarction by occlusion of the left circumflex artery (LCx) (n = 6). Subsequently, animals underwent CMR and EAM using a multielectrode mapping catheter. CMR characteristics, including wall thickness, LGE location and extent, and EAM maps, were independently analyzed, and concordance between voltage maps and CMR characteristics was assessed. Results LGE volume was similar between the LCx and LAD groups (8.5 ± 2.2 ml vs. 8.3 ± 2.5 ml, respectively; p = 0.852). LGE scarring in the LAD group was more subendocardial, affected a larger surface area, and resulted in significant wall thinning (4.88 ± 0.43 mm). LGE scarring in the LCx group extended from the endocardium to the epicardium with minimal reduction in wall thickness (scarred: 5.4 ± 0.67 mm vs. remote: 6.75 ± 0.38 mm). In all the animals in the LAD group, areas of low voltage corresponded with LGE and wall thinning, whereas only 2 of 6 animals in the LCx group had low voltage areas on EAM. Bipolar and unipolar voltage amplitudes were higher in thick inferior walls in the LCx group than in thin anterior walls in the LAD group, despite a similar LGE volume. Conclusions Discordances between LGE-detected scar areas and low voltage areas by EAM highlighted the limitations of the current EAM system to detect scar in thick myocardial wall regions.

Purpose Cardiac MR cine imaging allows accurate and reproducible assessment of cardiac function. However, its long scan time not only limits the spatial and temporal resolutions but is challenging in patients with breath‐holding difficulty or non‐sinus rhythms. To reduce scan time, we propose a multi‐domain convolutional neural network (MD‐CNN) for fast reconstruction of highly undersampled radial cine images. Methods MD‐CNN is a complex‐valued network that processes MR data in k‐space and image domains via k‐space interpolation and image‐domain subnetworks for residual artifact suppression. MD‐CNN exploits spatio‐temporal correlations across timeframes and multi‐coil redundancies to enable high acceleration. Radial cine data were prospectively collected in 108 subjects (50 ± 17 y, 72 males) using retrospective‐gated acquisition with 80%:20% split for training/testing. Images were reconstructed by MD‐CNN and k‐t Radial Sparse‐Sense(kt‐RASPS) using an undersampled dataset (14 of 196 acquired views; relative acceleration rate = 14). MD‐CNN images were evaluated quantitatively using mean‐squared‐error (MSE) and structural similarity index (SSIM) relative to reference images, and qualitatively by three independent readers for left ventricular (LV) border sharpness and temporal fidelity using 5‐point Likert‐scale (1‐non‐diagnostic, 2‐poor, 3‐fair, 4‐good, and 5‐excellent). Results MD‐CNN showed improved MSE and SSIM compared to kt‐RASPS (0.11 ± 0.10 vs. 0.61 ± 0.51, and 0.87 ± 0.07 vs. 0.72 ± 0.07, respectively; P < .01). Qualitatively, MD‐CCN significantly outperformed kt‐RASPS in LV border sharpness (3.87 ± 0.66 vs. 2.71 ± 0.58 at end‐diastole, and 3.57 ± 0.6 vs. 2.56 ± 0.6 at end‐systole, respectively; P < .01) and temporal fidelity (3.27 ± 0.65 vs. 2.59 ± 0.59; P < .01). Conclusion MD‐CNN reduces the scan time of cine imaging by a factor of 23.3 and provides superior image quality compared to kt‐RASPS.

Several deep-learning models have been proposed to shorten MRI scan time. Prior deep-learning models that utilize real-valued kernels have limited capability to learn rich representations of complex MRI data. In this work, we utilize a complex-valued convolutional network (ℂNet) for fast reconstruction of highly under-sampled MRI data and evaluate its ability to rapidly reconstruct 3D late gadolinium enhancement (LGE) data. ℂNet preserves the complex nature and optimal combination of real and imaginary components of MRI data throughout the reconstruction process by utilizing complex-valued convolution, novel radial batch normalization, and complex activation function layers in a U-Net architecture. A prospectively under-sampled 3D LGE cardiac MRI dataset of 219 patients (17 003 images) at acceleration rates R = 3 through R = 5 was used to evaluate ℂNet. The dataset was further retrospectively under-sampled to a maximum of R = 8 to simulate higher acceleration rates. We created three reconstructions of the 3D LGE dataset using (1) ℂNet, (2) a compressed-sensing-based low-dimensional-structure self-learning and thresholding algorithm (LOST), and (3) a real-valued U-Net (realNet) with the same number of parameters as ℂNet. LOST-reconstructed data were considered the reference for training and evaluation of all models. The reconstructed images were quantitatively evaluated using mean-squared error (MSE) and the structural similarity index measure (SSIM), and subjectively evaluated by three independent readers. Quantitatively, ℂNet-reconstructed images had significantly improved MSE and SSIM values compared with realNet (MSE, 0.077 versus 0.091; SSIM, 0.876 versus 0.733, respectively; p < 0.01). Subjective quality assessment showed that ℂNet-reconstructed image quality was similar to that of compressed sensing and significantly better than that of realNet. ℂNet reconstruction was also more than 300 times faster than compressed sensing. Retrospective under-sampled images demonstrate the potential of ℂNet at higher acceleration rates. ℂNet enables fast reconstruction of highly accelerated 3D MRI with superior performance to real-valued networks, and achieves faster reconstruction than compressed sensing.

Objective: The role of psychosocial risk factors is becoming increasingly important in the etiology of acute coronary syndrome (ACS). The purpose of this study was to assess an association between the personality types of young patients with ACS and the prevalence and severity of coronary artery disease (CAD). Methods: Patients younger than 45 years of age who presented with ACS and who underwent coronary angiography in the period from 2012 to 2016 were included in the study. The coronary angiography records of the patients were examined and their Gensini score (GS) was calculated; GS ≥20 was considered to be severe CAD. The Eysenck Personality Questionnaire-Revised Short Form scales were used to measure psychoticism, extraversion, lying, and neuroticism. Results: A total of 139 patients were included in the study. The median psychoticism score of patients with GS

In patients with heart failure with preserved ejection fraction (HFpEF), diabetes mellitus (DM) and obesity are important comorbidities as well as major risk factors. Their conjoint impact on the myocardium provides insight into the HFpEF aetiology. We sought to investigate the association between obesity, DM, and their combined effect on alterations in the myocardial tissue in HFpEF patients. One hundred and sixty-two HFpEF patients (55 ± 12 years, 95 men) and 45 healthy subjects (53 ± 12 years, 27 men) were included. Patients were classified according to comorbidity prevalence (36 obese patients without DM, 53 diabetic patients without obesity, and 73 patients with both). Myocardial remodeling, fibrosis, and longitudinal contractility were quantified with cardiovascular magnetic resonance imaging using cine and myocardial native T1 images. Patients with DM and obesity had impaired global longitudinal strain (GLS) and increased myocardial native T1 compared to patients with only one comorbidity (DM + Obesity vs. DM and Obesity; GLS, − 15 ± 2.1 vs − 16.5 ± 2.4 and − 16.7 ± 2.2%; native T1, 1162 ± 37 vs 1129 ± 25 and 1069 ± 29 ms; P

To develop and validate a saturation-delay-inversion recovery preparation, slice tracking and multi-slice based sequence for measuring whole-heart native TThe proposed free-breathing sequence performs TPhantom TThe proposed sequence enables quantification of whole heart T

BACKGROUND: In patients with suspected or known hypertrophic cardiomyopathy (HCM), late gadolinium enhancement (LGE) provides diagnostic and prognostic value. However, contraindications and long-term retention of gadolinium have raised concern about repeated gadolinium administration in this population. Alternatively, native T(1)-mapping enables identification of focal fibrosis, the substrate of LGE. However HCM-specific heterogeneous fibrosis distribution leads to subtle T(1)-maps changes that are difficult to identify. PURPOSE: To apply radiomic texture analysis on native T(1)-maps to identify patients with a low likelihood of LGE(+), thereby reducing the number of patients exposed to gadolinium administration. STUDY TYPE: Retrospective interpretation of prospectively acquired data. SUBJECTS: In all, 188 (54.7 ± 14.4 years, 71% men) with suspected or known HCM. FIELD STRENGTH/SEQUENCE: A 1.5T scanner; slice-interleaved native T(1)-mapping (STONE) sequence and 3D LGE after administration of 0.1 mmol/kg of gadobenate dimeglumine. ASSESSMENT: Left ventricular LGE images were location-matched with native T(1)-maps using anatomical landmarks. Using a split-sample validation approach, patients were randomly divided 3:1 (training/internal validation vs. test cohorts). To balance the data during training, 50% of LGE(−) slices were discarded. STATISTICAL TESTS: Four sets of texture descriptors were applied to the training dataset for capture of spatially dependent and independent pixel statistics. Five texture features were sequentially selected with the best discriminatory capacity between LGE(+) and LGE(−) T(1)-maps and tested using a decision tree ensemble (DTE) classifier. RESULTS: The selected texture features discriminated between LGE(+) and LGE(−) T(1)-maps with a c-statistic of 0.75 (95% confidence interval [CI]: 0.70–0.80) using 10-fold cross-validation during internal validation in the training dataset and 0.74 (95% CI: 0.65–0.83) in the independent test dataset. The DTE classifier provided adequate labeling of all (100%) LGE(+) patients and 37% of LGE(−) patients during testing. DATA CONCLUSION: Radiomic analysis of native T(1)-images can identify ~1/3 of LGE(−) patients for whom gadolinium administration can be safely avoided. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 2

Objective Erythropoietin (EPO) improves cardiac function and induces neovascularisation in post-myocardial infarction heart failure. The aim of this study was to analyse the association between the serum erythropoietin level and coronary collateral development in patients with coronary artery disease and chronic total occlusion. Methods A total of 168 patients consisting of 117 with coronary artery disease (CAD, (62 with chronic total occlusion (CTO), 55 without CTO)) and 51 with healthy coronary arteries were included in the study. The patients were assigned as coronary artery disease without CTO (group 0), CAD with CTO (group 1: poor collateral development, group 2: good collateral development) and normal coronary arteries (group 3). Results There was a significant positive correlation between serum EPO levels and the Rentrop scores in angiography (r = 0.243, p = 0.001). Similarly, a positive correlation was found between serum EPO levels and the Syntax scores (r = 0.253, p = 0.001). Echocardiography revealed a negative correlation between serum EPO levels and the cardiac ejection fraction (r = −0.210, p = 0.006). Conclusions Serum EPO is a useful biomarker for coronary collateral development in patients with CTO.

INTRODUCTION Paraoxonase (PON1) is an enigmatic enzyme with multiple enzymatic properties including arylesterase and lactonase activities besides its ability to hydrolyze the toxic metabolite of parathion, paraoxon. The aim of this study was to determine the phenotype distribution of PON1 in patients with cardiac disease who were classified in coronary artery bypass grafting (CABG), heart valve disease (HVD), heart failure (HF) and ST elevation myocardial infarction (STEMI) groups and healthy subjects as a control group. MATERIAL AND METHODS A total of 300 people (100 cardiac surgery (70 CABG and 30 HVD), 70 HF, 30 STEMI patients and 100 healthy controls) were admitted to this study. Individual variations in PON1 were determined using the dual substrate (paraoxon and phenylacetate) method. RESULTS The following phenotype distributions were found in the cardiac disease and control groups: cardiac disease group (n = 200): 48.5% (QQ), 42.5% (QR), 9% (RR) and control group (n = 100): 58% (QQ), 39% (QR), 3% (RR). RR (high activity) phenotypic distribution was more common in the cardiac disease group than in controls (p = 0.04). In particular, the frequency of the RR phenotype was two- to three-fold higher in the STEMI and HF patients compared to the controls as well as CABG and HVD groups. CONCLUSIONS We found a higher percentage of RR phenotype in STEMI and HF patients compared to a large control group as well as compared to two other groups of cardiac disease patients.

Fluid overload and cardiac dysfunction is well established in hemodialysis patients. But in predialysis chronic kidney disease, the association of fluid overload and cardiac dysfunction is relatively unknown. In this study, we aimed to investigate the relationship between fluid overload and cardiac dysfunction in predialysis chronic kidney disease patients.We enrolled 107 consecutive patients in our study. Fluid overload was assessed via body composition monitor. Patients were dichotomized according to the fluid overload status. The patients with FO1.1L were determined as normovolemic and those with FO ≥ 1.1L as hypervolemic according to the previously reported physiologic model. Left atrial volume index (LAVI), left ventricular end-diastolic-end-systolic index (LVEDVI, LVESVI), E/e', LVMI and global longitudinal left ventricular left ventricular strain (GLS-%) were evaluated in each patient as markers of cardiac dysfunction. Arterial stiffness was also assessed by Mobil-O-Graph(®) 24h pulse wave analysis monitor and pWV values were recorded.Fifty-five patients were normovolemic and 52 patients were hypervolemic. LAVI, LVMI, LDEDVI, LVEDSVI, E/e' were increased in hypervolemic patients. Also in hypervolemic patients pulse wave velocity was increased and GLS was decreased. Multivariate analysis showed that FO was independently associated with GLS which is the most specific echo-parameter for left ventricular dysfunction.FO was independently associated with cardiac dysfunction in patients with chronic kidney disease not ongoing dialysis. Effective treatment of hypervolemia may be important in these patients to avoid further cardiac damage.

Objective: There are many factors related to high left atrial volume index (LAVI) and global left ventricular longitudinal peak systolic strain (GLS-%) decline in chronic kidney disease. The purpose of our study is to investigate the relation between the β-2 microglobulin (β-2µ) and GLS-% and LAVI in patients with chronic kidney disease not yet on dialysis. Methods: Our study was a non-randomized, controlled, prospective study. We included 87 consecutive patients with eGFR levels below 60 ml/min/m2 not on dialysis and 82 normal healthy individuals with complaints of atypical chest pain and negative stress tests as control group in our study. Patients with hospitalization related to dialysis or heart failure attacks within 3 months, active malignancy, malnutrition, pregnancy, and uncontrolled hypertension were excluded. Brachial pulse wave velocity (PWV), augmentation index, augmentation pressure and central hemodynamics, and PWV analysis were performed in order to assess the arterial stiffness and blood pressure. According to the distribution of data, Spearman and Pearson correlations and multiple linear regression were used to determine significant and independent factor associated with high LAVI and low GLS-%. Results: There were significant correlations between β-2µ with LAVI (r=0.313, p=0.004) and with GLS-% (r=–0.222, p=0.04). In multiple linear regression, the relationship between β-2µ with GLS-% [β=–0.037, 95% CI (–0.062, –0.013), p=0.004] and LAVI [β=4.522, 95% CI (2.806, 6.238), p

We developed a deep convolutional neural network (CNN) based method to remove streaking artefact from accelerated radial acquisitions of myocardial T 1-mapping images. A deep CNN based on a modified U-Net architecture was developed and trained to remove the streaking artefacts from under-sampled T 1 mapping images. A total of 2090 T 1-weighted images for 33 patients (55 ± 15 years, 19 males) and five healthy subjects (30 ± 14 years, 2 males) were used for training and testing the network. The images were acquired using radial slice interleaved T 1 mapping sequence (STONE) and retrospectively under-sampled to achieve acceleration rate of 4 (corresponding to 48 spokes). The dataset was split into training and testing subsets with 23 subjects (60%) and 15 subjects (40%), respectively. For generating voxel-wise T 1 maps, a two-parameter fitting model was used. Network performance was evaluated using normalized mean square error (NMSE), structural similarity index (SSIM) and peak signal-to-noise ratio (PSNR) metrics. The proposed network allowed fast (T 1-weighted testing images and the corresponding T 1 maps with PSNR = 64.3 ± 1.02, NMSE = 0.2 ± 0.09 and SSIM = 0.9 ± 0.3 × 10−4. There was no statistically significant difference between the measured T 1 maps for both per-subject (reference: 1085 ± 37 ms, CNN: 1088 ± 37 ms, p = 0.4) and per-segment (reference: 1084 ± 48 ms, CNN: 1083 ± 58 ms, p = 0.9) analyses. In summary, deep CNN allows fast and reliable removal of streaking artefact from under-sampled radial T 1 mapping images. Our results show that the highly non-linear operations of deep CNN processing of T 1 mapping images do not impact accurate reconstruction of myocardial T 1 maps.

At MRI of the myocardium, only a small subset of radiomic features were reproducible, and these reproducible radiomic features varied among different sequences.

Over the past decade, there have been tremendous advances in electroanatomical mapping (EAM) technologies, including introduction of multielectrode catheters for high-resolution mapping of scar. While EAM may not be suitable for detecting mid-wall scar, it has been assumed that these are capable. We

Transcatheter aortic valve implantation (TAVI) is considered an alternative therapy in high-risk patients with severe aortic stenosis (AS). However, this minimally invasive procedure carries potential complications, such as valve embolization at time of TAVI. We present a case of balloon-expandable aortic valve embolization which was managed nonsurgically. Valve embolization was managed conservatively, as the patient refused open heart surgery for definitive treatment. The patient was transferred to the intensive care unit in stable hemodynamic condition and discharged 1 week following the procedure.

Electrocardiography alterations and cardiac enzyme elevation have been reported in patients with cerebrovascular events in various articles. This case reports a case of syncope with an electrocardiography of atrioventricular complete block and extensive ST segment elevation. However, it was finally diagnosed as subarachnoid hemorrhage. To the best of our knowledge, this patient is the first case of subarachnoid hemorrhage mimicking ST elevation myocardial infarction with atrioventricular complete block.

Vascular complications in transfemoral transcatheter aortic valve implantation are relatively frequent and there is increased morbidity and mortality risk in the procedure. This report presents successful surgical repair of a femoral artery thrombosis case following an implantation procedure.

Objective: This study aimed to evaluate the association between the history of stroke/transient ischemic attack (TIA) and inter- and intra-atrial electromechanical delay (EMD) in patients with paroxysmal atrial fibrillation (PAF). Methods: Patients diagnosed with PAF were included in this retrospective study. Patients who had a history of stroke or TIA were defined as the symptomatic group, whereas those who did not have such a history were defined as the asymptomatic group. On the basis of the transthoracic echocardiographic records, atrial electromechanical coupling (time interval from the onset of the P wave on the surface electrocardiogram to the beginning of the A’ wave interval with tissue Doppler echocardiography) and intra- and interatrial EMD were measured. Results: In this study, 160 patients were included, 52 of whom were symptomatic. While the intra-left atrial EMD was 68.2±6.1 ms in the symptomatic group, it was found to be 50.8±6.5 ms in the asymptomatic group (p

Pregnancy is among the risk factors for mechanical valve thrombosis, and even though thrombolytic therapy is contraindicated during pregnancy, it may be used in the treatment of this life-threatening complication. This case report describes a pregnant patient, whose echocardiogram showed evident gradient increase on her mechanical prosthetic mitral valve, and who was treated successfully with tissue plasminogen activator for mechanical valve thrombosis.

It is well known that nondipper blood pressure (BP) pattern is associated with an increased cardiovascular risk in hypertensive patients. The aim of this study is to observe whether carotid artery stent (CAS) procedure returns nondipper BP pattern to dipper pattern in hypertensive patients.Ambulatory BP monitorization (ABPM) was performed in 152 hypertensive patients who underwent CAS procedure 1 day before, and 1 day and 1 year after the procedure. BP monitorization of patients was classified as dipper and nondipper. BP parameters 1 year after CAS procedure were compared with preprocedure parameters.According to baseline ambulatory BP follow-ups, a total of 152 hypertensive patients with 122 (80%) nondippers and 30 (20%) dippers were enrolled in this study. According to ABPM results 1 year after CAS procedure, 78 patients (64%) who had nondipper pattern at first transformed into dipper pattern and 44 patients (36%) remained to be nondippers. Moreover, 1 year after CAS procedure, 18 patients (60%) who had dipper pattern at first transformed into nondipper pattern and 12 patients (40%) remained as dippers. When BP follow-up values at 1 year after CAS procedure were compared with BP readings before the procedure, 78 patients (51%) who were nondipper before the procedure transformed into dipper pattern (P ≤ .01), whereas 44 patients (29%) with nondipper pattern remained to be nondippers (P = .01). Twelve patients (7.9%) who had dipper pattern remained to have dipper pattern (P = .768). Eighteen patients who had dipper pattern (12%) transformed into nondipper pattern after the procedure (P.01). The total number of nondipper pattern patients before CAS procedure was 80.3% (122 patients), whereas this percentage dropped to 40.8% (62 patients) after the CAS procedure (P.01).During 1-year follow-up after CAS procedure, nondipper BP pattern transforms into dipper pattern. This result might be attributed to the contributory effect of CAS procedure to long-term cardiovascular protection.