Publications
410 results found
Lin L, Kwan CT, Yap PM, et al., 2024, Diagnostic Performance of Cardiovascular Magnetic Resonance Phase Contrast Analysis to Identify Heart Failure With Preserved Ejection Fraction., J Thorac Imaging
Fong FW, Hwang S, Xu Y, et al., 2024, Prognostic Utility of Left Atrial Strain From MRI Feature Tracking in Ischemic and Nonischemic Dilated Cardiomyopathy: A Multicenter Study., AJR Am J Roentgenol
Background: MRI-based prognostic evaluation in patients with dilated cardiomyopathy (DCM) has historically used markers of late gadolinium enhancement (LGE) and feature-tracking (FT) derived left ventricular global longitudinal strain (LV-GLS). Early data indicate that FT-derived left atrial strain (LAS) parameters, including reservoir, conduit, and booster, may also have prognostic roles in such patients. Objective: To evaluate the prognostic utility of LAS parameters, derived from MRI FT, in patients with ischemic or nonischemic DCM, including in comparison with the traditional parameters of LGE and LV-GLS. Methods: This retrospective study included 811 patients with ischemic or nonischemic DCM [median age, 60 years; 640 men, 171 women] who underwent cardiac MRI at any of five centers. FT-derived LAS and LV-GLS were measured using two- and four-chamber cine images. LGE percentage was quantified. Patients were assessed for a composite outcome of all-cause mortality or heart-failure hospitalization. Multivariable Cox regression analyses were performed, including demographic characteristics, cardiovascular risk factors, medications used, and a wide range of cardiac MRI parameters. Kaplan-Meier analyses with log-rank tests were also performed. Results: A total of 419 patients experienced the composite outcome. Patients who did, versus did not, experience the composite outcome had larger LV-GLS (-6.7% vs -8.3%, p<.001), as well as smaller LAS reservoir (13.3% vs 19.3%, p<.001), LAS conduit (4.7% vs 8.0%, p<.001), and LAS booster (8.1% vs 10.3%, p<.001), but no significant difference in LGE (10.1% vs 11.3%, p=.51). In multivariable Cox regression analyses, significant independent predictors of the composite outcome included LAS reservoir (HR=0.96, p<.001) and LAS conduit (HR=0.91, p<.001). LAS booster and LGE were not significant independent predictors in the models. LV-GLS was a significant independent predictor only in a model that initially included
Nazir MS, Okafor J, Murphy T, et al., 2024, Echocardiography versus Cardiac MRI for Measurement of Left Ventricular Ejection Fraction in Individuals with Cancer and Suspected Cardiotoxicity., Radiol Cardiothorac Imaging, Vol: 6
Purpose To compare left ventricular ejection fraction (LVEF) measured with echocardiography and cardiac MRI in individuals with cancer and suspected cardiotoxicity and assess the potential effect on downstream clinical decision-making. Materials and Methods In this prospective, single-center observational cohort study, participants underwent same-day two-dimensional (2D) echocardiography and cardiac MRI between 2011 and 2021. Participants with suboptimal image quality were excluded. A subset of 74 participants also underwent three-dimensional (3D) echocardiography. The agreement of LVEF derived from each modality was assessed using Bland-Altman analysis and at relevant thresholds for cardiotoxicity. Results A total of 745 participants (mean age, 60 years ± 5 [SD]; 460 [61.7%] female participants) underwent same-day echocardiography and cardiac MRI. According to Bland-Altman analysis, the mean bias was -3.7% ± 7.6 (95% limits of agreement [LOA]: -18.5% to 11.1%) for 2D echocardiography versus cardiac MRI. In 74 participants who underwent cardiac MRI, 3D echocardiography, and 2D echocardiography, the mean LVEFs were 60.0% ± 10.4, 58.4% ± 9.4, and 57.2% ± 8.9, respectively (P < .001). At the 50% LVEF threshold for detection of cardiotoxicity, there was disagreement for 9.3% of participants with 2D echocardiography and cardiac MRI. Agreement was better with 3D echocardiography and cardiac MRI (mean bias, -1.6% ± 6.3 [95% LOA: -13.9% to 10.7%]) compared with 2D echocardiography and cardiac MRI (mean bias, -2.8% ± 6.3 [95% LOA: -15.2% to 9.6%]; P = .016). Conclusion Two-dimensional echocardiography had variations of ±15% for LVEF measurement compared with cardiac MRI in participants with cancer and led to misclassification of approximately 10% of participants for cardiotoxicity detection. Three-dimensional echocardiography had better agreement with cardiac MRI and should be used as first-line imaging. Keywords: Ec
Nazir MS, Okafor J, Murphy T, et al., 2024, Erratum for: Echocardiography versus Cardiac MRI for Measurement of Left Ventricular Ejection Fraction in Individuals with Cancer and Suspected Cardiotoxicity., Radiol Cardiothorac Imaging, Vol: 6
Sunnasy R, Mohiaddin RH, 2024, Parametric cardiovascular magnetic resonance imaging in takotsubo syndrome: a case report., Eur Heart J Case Rep, Vol: 8
BACKGROUND: Takotsubo syndrome (TTS) causes angina with ventricular dysfunction that can mimic acute coronary syndrome. Normal coronary angiography leads to cardiovascular magnetic resonance imaging (CMR) in the diagnostic pathway. Historically, TTS was thought to be associated with the absence of late gadolinium enhancement on CMR. This case report highlights the presence of late gadolinium enhancement in a case of TTS while demonstrating the other characteristic findings, including quantitative parametric T1/T2 mapping. CASE SUMMARY: A 69-year-old lady was admitted with chest pain and shortness of breath. She was found to have classical TTS with the characteristic wall motion abnormalities on echocardiogram, left ventricular angiogram, and CMR. Her CMR also demonstrated strongly positive myocardial T1/T2 mapping that matched the wall motion abnormalities and the less frequently described positive early and late gadolinium enhancement. DISCUSSION: This case highlights the diagnostic pathway in TTS and the ability of CMR to make a diagnosis in myocardial infarction with non-obstructed coronary arteries. We describe the characteristic cardiac imaging features of TTS while discussing the positive late gadolinium enhancement patterns that may help confirm the diagnosis.
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
- Author Web Link
- Cite
- Citations: 1
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
- Author Web Link
- Cite
- Citations: 1
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
- Author Web Link
- Cite
- Citations: 1
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
- Author Web Link
- Cite
- Citations: 2
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
- Author Web Link
- Cite
- Citations: 4
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
- Author Web Link
- Cite
- Citations: 1
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
- Author Web Link
- Cite
- Citations: 1
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
- Author Web Link
- Cite
- Citations: 4
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
- Author Web Link
- Cite
- Citations: 1
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
- Author Web Link
- Cite
- Citations: 1
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
- Author Web Link
- Cite
- Citations: 5
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
- Author Web Link
- Cite
- Citations: 1
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
- Author Web Link
- Cite
- Citations: 13
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.