400 results found
Antonopoulos AS, Vrettos A, Androulakis E, et al., 2023, Cardiac magnetic resonance imaging of pericardial diseases: a comprehensive guide, EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, Vol: 24, Pages: 983-998, ISSN: 2047-2404
Kwan CT, Ching OHS, Yap PM, et al., 2023, Intraventricular 4D flow cardiovascular magnetic resonance for assessing patients with heart failure with preserved ejection fraction: a pilot study, INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, ISSN: 1569-5794
Grübler MR, Azzu A, Mohiaddin R, 2023, A Rare Mechanism for Spontaneous Closure of Muscular Ventricular Septal Defect in Hypertrophic Cardiomyopathy., JACC Case Rep, Vol: 16
In the context of hypertrophic cardiomyopathy (HCM), a ventricular septal defect (VSD) is a rare finding. We present the case of a large spontaneously closed muscular VSD in a patient with HCM. We describe the role of cardiovascular magnetic resonance in the assessment of a VSD and its differential diagnosis in HCM. (Level of Difficulty: Advanced.).
Austin C, Golesworthy T, Izgi C, et al., 2023, Correspondence on "Has personalised surgery made another advancement in aortic root surgery?" by Zhu and Woo, HEART, Vol: 109, Pages: 886-886, ISSN: 1355-6037
Krupickova S, Voges I, Mohiaddin R, et al., 2023, Short-term outcome of late gadolinium changes detected on cardiovascular magnetic resonance imaging following coronavirus disease 2019 Pfizer/BioNTech vaccine-related myocarditis in adolescents, PEDIATRIC RADIOLOGY, Vol: 53, Pages: 892-899, ISSN: 0301-0449
Mohiaddin R, Hatipoglu S, 2023, Diagnosis of cardiac sarcoidosis in patients presenting with cardiac arrest or life-threatening arrhythmias, Heart, Vol: 109, Pages: 748-755, ISSN: 1355-6037
Objective Cardiac sarcoidosis (CS) may present with cardiac arrest or life-threatening arrhythmias. There are limited data on this subgroup of patients with CS. Advanced imaging including cardiovascular magnetic resonance (CMR) and cardiac 18-fluorodeoxyglucose (FDG) positron emission tomography (PET) are used for diagnosis. This study aimed to describe advanced imaging patterns suggestive of CS among patients presenting with cardiac arrest or life-threatening arrhythmias.Methods An imaging database of a CS referral centre (Royal Brompton Hospital, London) was screened for patients presenting with cardiac arrest or life-threatening arrhythmias and having imaging features of suspected CS. Patients diagnosed with definite or probable/possible CS were included.Results Study population included 60 patients (median age 49 years) with male predominance (76.7%). The left ventricle was usually non-dilated with mildly reduced ejection fraction (53.4±14.8%). CMR studies showed extensive late gadolinium enhancement (LGE) with 5 (4–8) myocardial segments per patient affected; the right ventricular (RV) side of the septum (28/45) and basal anteroseptum (28/45) were most frequently involved. Myocardial inflammation by FDG-PET was detected in 45 out of 58 patients vs 11 out of 33 patients with oedema imaging available on CMR. When PET was treated as reference to detect myocardial inflammation, CMR oedema imaging was 33.3% sensitive and 77% specific.Conclusions In patients with CS presenting with cardiac arrest or life-threatening arrhythmias, LGE was located in areas where the cardiac conduction system travels (basal anteroseptal wall and RV side of the septum). While CMR was the imaging technique that raised possibility of cardiac scarring, oedema imaging had low sensitivity to detect myocardial inflammation compared with FDG-PET.
Tang HS, Kwan CT, He J, et al., 2023, Prognostic Utility of Cardiac MRI Myocardial Strain Parameters in Patients With Ischemic and Nonischemic Dilated Cardiomyopathy: A Multicenter Study, AMERICAN JOURNAL OF ROENTGENOLOGY, Vol: 220, Pages: 524-538, ISSN: 0361-803X
Azzu A, Antonopoulos AS, Krupickova S, et al., 2023, Myocardial strain analysis by cardiac magnetic resonance 3D feature-tracking identifies subclinical abnormalities in patients with neuromuscular disease and no overt cardiac involvement, EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, Vol: 24, Pages: 503-511, ISSN: 2047-2404
Ng M-Y, Kwan CT, Yap PM, et al., 2023, Diagnostic accuracy of cardiovascular magnetic resonance strain analysis and atrial size to identify heart failure with preserved ejection fraction., Eur Heart J Open, Vol: 3
AIMS: Heart failure with preserved ejection fraction (HFpEF) continues to be a diagnostic challenge. Cardiac magnetic resonance atrial measurement, feature tracking (CMR-FT), tagging has long been suggested to diagnose HFpEF and potentially complement echocardiography especially when echocardiography is indeterminate. Data supporting the use of CMR atrial measurements, CMR-FT or tagging, are absent. Our aim is to conduct a prospective case-control study assessing the diagnostic accuracy of CMR atrial volume/area, CMR-FT, and tagging to diagnose HFpEF amongst patients suspected of having HFpEF. METHODS AND RESULTS: One hundred and twenty-one suspected HFpEF patients were prospectively recruited from four centres. Patients underwent echocardiography, CMR, and N-terminal pro-B-type natriuretic peptide (NT-proBNP) measurements within 24 h to diagnose HFpEF. Patients without HFpEF diagnosis underwent catheter pressure measurements or stress echocardiography to confirm HFpEF or non-HFpEF. Area under the curve (AUC) was determined by comparing HFpEF with non-HFpEF patients. Fifty-three HFpEF (median age 78 years, interquartile range 74-82 years) and thirty-eight non-HFpEF (median age 70 years, interquartile range 64-76 years) were recruited. Cardiac magnetic resonance left atrial (LA) reservoir strain (ResS), LA area index (LAAi), and LA volume index (LAVi) had the highest diagnostic accuracy (AUCs 0.803, 0.815, and 0.776, respectively). Left atrial ResS, LAAi, and LAVi had significantly better diagnostic accuracy than CMR-FT left ventricle (LV)/right ventricle (RV) parameters and tagging (P < 0.01). Tagging circumferential and radial strain had poor diagnostic accuracy (AUC 0.644 and 0.541, respectively). CONCLUSION: Cardiac magnetic resonance LA ResS, LAAi, and LAVi have the highest diagnostic accuracy to identify HFpEF patients from non-HFpEF patients amongst clinically suspected HFpEF patients. Cardiac magnetic resonance feature tracking LV/RV parameters and tagging
Fong LCW, Lee NHC, Poon JWL, et al., 2022, Prognostic value of cardiac magnetic resonance derived global longitudinal strain analysis in patients with ischaemic and non-ischaemic dilated cardiomyopathy: a systematic review and meta-analysis, INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, Vol: 38, Pages: 2707-2721, ISSN: 1569-5794
Hatipoglu S, Mohiaddin RH, Gatehouse P, et al., 2022, Performance of artificial intelligence for biventricular cardiovascular magnetic resonance volumetric analysis in the clinical setting, INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, Vol: 38, Pages: 2413-2424, ISSN: 1569-5794
Androulakis E, Azzu A, Papagkikas P, et al., 2022, Spontaneous coronary artery dissection: current evidence from cardiac magnetic resonance and angiography screening, Publisher: OXFORD UNIV PRESS, Pages: 298-298, ISSN: 0195-668X
Moscatelli S, Gatehouse P, Krupickova S, et al., 2022, Impact of compressed sensing (CS) acceleration of two-dimensional (2D) flow sequences in clinical paediatric cardiovascular magnetic resonance (CMR), Publisher: SPRINGER, Pages: 220-220, ISSN: 1352-8661
Antonopoulos AS, Azzu A, Mohiaddin RH, 2022, Myocardial fibrosis pattern in dilated cardiomyopathy: not every rounded thing is an orange!, EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, Vol: 23, Pages: E474-E475, ISSN: 2047-2404
Nazir MS, Okafor J, Murphy T, et al., 2022, LVEF MEASURED WITH SAME DAY ECHOCARDIOGRAPHY AND CMR IN PATIENTS WITH SUSPECTED CARDIOTOXICITY, BSCI/BSCCT Annual Meeting, Publisher: BMJ PUBLISHING GROUP, Pages: A11-A11, ISSN: 1355-6037
Androulakis E, Mohiaddin R, Bratis K, 2022, Magnetic resonance coronary angiography in the era of multimodality imaging, CLINICAL RADIOLOGY, Vol: 77, Pages: E89-E99, ISSN: 0009-9260
Androulakis E, Azzu A, Papagkikas P, et al., 2022, Spontaneous Coronary Artery Dissection: Insights From Cardiac Magnetic Resonance and Extracoronary Arterial Screening, CIRCULATION, Vol: 145, Pages: 555-557, ISSN: 0009-7322
Jun C, Zhang H, Mohiaddin R, et al., 2022, Adaptive hierarchical dual consistency for semi-supervised left atrium segmentation on cross-domain data, IEEE Transactions on Medical Imaging, Vol: 41, Pages: 420-433, ISSN: 0278-0062
Semi-supervised learning provides great significance in left atrium (LA) segmentation model learning with insufficient labelled data. Generalising semi supervised learning to cross-domain data is of high importance to further improve model robustness. However, the widely existing distribution difference and sample mismatch between different data domains hinder the generalisation of semi-supervised learning. In this study, we alleviate these problems by proposing an Adaptive Hier10 archical Dual Consistency (AHDC) for the semi-supervised LA segmentation on cross-domain data. The AHDC mainlyconsists of a Bidirectional Adversarial Inference module (BAI) and a Hierarchical Dual Consistency learning module (HDC). The BAI overcomes the difference of distributions and the sample mismatch between two different domains. It mainly learns two mapping networks adversarially to obtain two matched domains through mutual adaptation. The HDC investigates a hierarchical dual learning paradigm for cross-domain semi-supervised segmentation based on the obtained matched domains. It mainly builds two dual modelling networks for mining the complementary information in both intra-domain and inter-domain. For the intra domain learning, a consistency constraint is applied to the dual-modelling targets to exploit the complementary modelling information. For the inter-domain learning, a consistency constraint is applied to the LAs modelled by two dual modelling networks to exploit the complementary knowl28 edge among different data domains. We demonstrated the performance of our proposed AHDC on four 3D late gadolinium enhancement cardiac MR (LGE-CMR) datasets fromdifferent centres and a 3D CT dataset. Compared to otherstate-of-the-art methods, our proposed AHDC achievedhigher segmentation accuracy, which indicated its capability in the cross-domain semi-supervised LA segmentation.
Arzanauskaite M, Cookson S, Mohiaddin RH, 2022, Long-standing Cannonball Metastases in Myxoid Chondrosarcoma: Multimodality Appearances of the Radiological Sign, ARCHIVOS DE BRONCONEUMOLOGIA, Vol: 58, Pages: 171-171, ISSN: 0300-2896
Musella F, Azzu A, Antonopoulos AS, et al., 2022, Comprehensive mitral valve prolapse assessment by cardiovascular MRI, CLINICAL RADIOLOGY, Vol: 77, Pages: E120-E129, ISSN: 0009-9260
Krupickova S, Bautista-Rodriguez C, Hatipoglu S, et al., 2022, Myocardial deformation assessed by CMR in children after multisystem inflammatory syndrome (MIS-C), INTERNATIONAL JOURNAL OF CARDIOLOGY, Vol: 346, Pages: 105-106, ISSN: 0167-5273
Chen J, Yang G, Khan H, et al., 2022, JAS-GAN: generative adversarial network based joint atrium and scar segmentations on unbalanced atrial targets, IEEE Journal of Biomedical and Health Informatics, Vol: 26, Pages: 103-114, ISSN: 2168-2194
Automated and accurate segmentation of the left atrium (LA) and atrial scars from late gadolinium-enhanced cardiac magnetic resonance (LGE CMR) images are in high demand for quantifying atrial scars. The previous quantification of atrial scars relies on a two-phase segmentation for LA and atrial scars due to their large volume difference (unbalanced atrial targets). In this paper, we propose an inter-cascade generative adversarial network, namely JAS-GAN, to segment the unbalanced atrial targets from LGE CMR images automatically and accurately in an end-to-end way. Firstly, JAS-GAN investigates an adaptive attention cascade to automatically correlate the segmentation tasks of the unbalanced atrial targets. The adaptive attention cascade mainly models the inclusion relationship of the two unbalanced atrial targets, where the estimated LA acts as the attention map to adaptively focus on the small atrial scars roughly. Then, an adversarial regularization is applied to the segmentation tasks of the unbalanced atrial targets for making a consistent optimization. It mainly forces the estimated joint distribution of LA and atrial scars to match the real ones. We evaluated the performance of our JAS-GAN on a 3D LGE CMR dataset with 192 scans. Compared with state-of-the-art methods, our proposed approach yielded better segmentation performance (Average Dice Similarity Coefficient (DSC) values of 0.946 and 0.821 for LA and atrial scars, respectively), which indicated the effectiveness of our proposed approach for segmenting unbalanced atrial targets.
Mohiaddin RH, 2022, WSS for Predicting BAV Aortopathy Growth Good as Gold or a Sheer Wall Street Speculation? COMMENT, JACC-CARDIOVASCULAR IMAGING, Vol: 15, Pages: 43-45, ISSN: 1936-878X
Almogheer B, Antonopoulos AS, Azzu A, et al., 2022, Diagnostic and Prognostic Value of Cardiovascular Magnetic Resonance in Neuromuscular Cardiomyopathies, PEDIATRIC CARDIOLOGY, Vol: 43, Pages: 27-38, ISSN: 0172-0643
Antonopoulos AS, Boutsikou M, Simantiris S, et al., 2021, Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes, SCIENTIFIC REPORTS, Vol: 11, ISSN: 2045-2322
Mahon C, Mohiaddin RH, 2021, Cardiovascular magnetic resonance for selecting anatomically suitable patients for transcatheter aortic valve implantation: should it be rolled out or ruled out?, EUROPEAN HEART JOURNAL-CASE REPORTS, Vol: 5
Antonopoulos AS, Azzu A, Androulakis E, et al., 2021, Eosinophilic heart disease: diagnostic and prognostic assessment by cardiac magnetic resonance, EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, Vol: 22, Pages: 1273-1284, ISSN: 2047-2404
Wustmann K, Constantine A, Davies JE, et al., 2021, Prognostic implications of pulmonary wave reflection and reservoir pressure in patients with pulmonary hypertension, International Journal of Cardiology: Congenital Heart Disease, Vol: 5, Pages: 1-8, ISSN: 2666-6685
BackgroundRight ventricular (RV) coupling to the pulmonary circulation influences the response of the RV to the increased afterload caused by pulmonary hypertension (PH), which ultimately determines prognosis. A methodology that accounts for pulsatile flow is required when assessing ventriculo-arterial coupling. We applied wave intensity analysis (WIA) methods to assess the compliance of the main pulmonary artery (PA) in patients with or without PH and compared this to PA distensibility, RV function and clinical outcomes.MethodsHigh-fidelity blood pressure and Doppler flow velocity tracings were obtained simultaneously during cardiac catheterisation for suspected PH. RV volumes, main PA distensibility and ventriculo-arterial coupling (Emax/Ea) were analysed using cardiovascular magnetic resonance.ResultsThe study included 17 PH patients and 6 controls. Wave speed, reservoir and excess pressure were higher in PH patients compared to controls (p < 0.01 for all). Waveforms relating to RV ejection, microvascular wave reflection and late systolic proximal deceleration were higher in PH patients compared to controls (p < 0.01 for all) and related to echocardiographic findings, including PA Doppler notching and shortened acceleration time. Wave speed, reservoir pressure and excess pressure were strongly correlated to main PA distensibility, RV function and Emax/Ea. A higher total pressure integral was associated with an increased risk of death (all-cause mortality).ConclusionThe reservoir-excess pressure model, in combination with conventional clinical imaging, provides valuable information on the pathophysiology of PH that standard haemodynamic parameters do not. Future studies should further investigate the prognostic implications of WIA in PH, and its potential role in clinical practice.
Antonopoulos A, Boutsikou M, Simantiris S, et al., 2021, Myocardial tissue phenotyping by radiomic features of native T1 maps and machine learning enhances disease detection and classification, Publisher: OXFORD UNIV PRESS, Pages: 221-221, ISSN: 0195-668X
Haldar S, Khan HR, Boyalla V, et al., 2021, Thoracoscopic surgical ablation versus catheter ablation as first-line treatment for long-standing persistent atrial fibrillation: the CASA-AF RCT, Efficacy and Mechanism Evaluation, Vol: 8, Pages: 1-122, ISSN: 2050-4365
<jats:sec id="abs1-1"> <jats:title>Background</jats:title> <jats:p>Standalone thoracoscopic surgical ablation may be more effective than catheter ablation in patients with long-standing persistent atrial fibrillation.</jats:p> </jats:sec> <jats:sec id="abs1-2"> <jats:title>Objectives</jats:title> <jats:p>To determine whether or not surgical ablation is clinically superior to catheter ablation as the first-line treatment strategy in long-standing persistent atrial fibrillation.</jats:p> </jats:sec> <jats:sec id="abs1-3"> <jats:title>Design</jats:title> <jats:p>This was a prospective, multicentre, randomised control trial.</jats:p> </jats:sec> <jats:sec id="abs1-4"> <jats:title>Setting</jats:title> <jats:p>Four NHS tertiary centres in England.</jats:p> </jats:sec> <jats:sec id="abs1-5"> <jats:title>Participants</jats:title> <jats:p>Adults with long-standing persistent atrial fibrillation, who had European Heart Rhythm Association symptom scores > 2 and who were naive to previous catheter ablation or thoracic/cardiac surgery.</jats:p> </jats:sec> <jats:sec id="abs1-6"> <jats:title>Interventions</jats:title> <jats:p>Minimally invasive thoracoscopic surgical ablation and conventional catheter ablation (control intervention).</jats:p> </jats:sec> <jats:sec id="abs1-7"> <jats:title>Mai
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.