Imperial College London

ProfessorRaadMohiaddin

Faculty of MedicineNational Heart & Lung Institute

Professor Cardiovascular Imaging
 
 
 
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Contact

 

r.mohiaddin

 
 
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Location

 

3012Cardiovascular MR UnitRoyal Brompton Campus

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Summary

 

Publications

Publication Type
Year
to

388 results found

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, ISSN: 2047-2404

Journal article

Azzu A, Antonopoulos AS, Krupickova S, Mohiaddin Z, Almogheer B, Vlachopoulos C, Pantazis A, Pennell DJ, Mohiaddin RHet al., 2022, 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, ISSN: 2047-2404

Journal article

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

Journal article

Hatipoglu S, Mohiaddin RH, Gatehouse P, Alpendurada F, Baksi AJ, Izgi C, Prasad SK, Pennell DJ, Krupickova Set al., 2022, Performance of artificial intelligence for biventricular cardiovascular magnetic resonance volumetric analysis in the clinical setting, INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, ISSN: 1569-5794

Journal article

Androulakis E, Azzu A, Papagkikas P, Antonopoulos A, Al-Hussaini A, Pennell D, Mohiaddin Ret al., 2022, Spontaneous Coronary Artery Dissection: Insights From Cardiac Magnetic Resonance and Extracoronary Arterial Screening, CIRCULATION, Vol: 145, Pages: 555-557, ISSN: 0009-7322

Journal article

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

Journal article

Musella F, Azzu A, Antonopoulos AS, La Mura L, Mohiaddin RHet al., 2022, Comprehensive mitral valve prolapse assessment by cardiovascular MRI, CLINICAL RADIOLOGY, Vol: 77, Pages: E120-E129, ISSN: 0009-9260

Journal article

Jun C, Zhang H, Mohiaddin R, Wong T, Firmin D, Keegan J, Yang Get 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.

Journal article

Chen J, Yang G, Khan H, Zhang H, Zhang Y, Zhao S, Mohiaddin R, Wong T, Firmin D, Keegan Jet 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.

Journal article

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

Journal article

Antonopoulos AS, Boutsikou M, Simantiris S, Angelopoulos A, Lazaros G, Panagiotopoulos I, Oikonomou E, Kanoupaki M, Tousoulis D, Mohiaddin RH, Tsioufis K, Vlachopoulos Cet al., 2021, Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes, SCIENTIFIC REPORTS, Vol: 11, ISSN: 2045-2322

Journal article

Krupickova S, Bautista-Rodriguez C, Hatipoglu S, Kang H, Fraisse A, Di Salvo G, Piccinelli E, Rowlinson G, Lane M, Bermejo IA, Moscatelli S, Wage R, Mohiaddin R, Pennell DJ, Voges Iet al., 2021, 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

Journal article

Antonopoulos AS, Azzu A, Androulakis E, Tanking C, Papagkikas P, Mohiaddin RHet 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

Journal article

Antonopoulos A, Boutsikou M, Simantiris S, Angelopoulos A, Lazaros G, Oikonomou E, Kanoupaki M, Tousoulis D, Mohiaddin R, Tsioufis K, Vlachopoulos Cet 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

Conference paper

Wustmann K, Constantine A, Davies JE, Li W, Pennell D, Wort S, Kempny A, Price L, McCabe C, Mohiaddin R, Francis D, Gatzoulis M, Dimopoulos Ket 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.

Journal article

Azzu A, Morosin M, Antonopoulos AS, Capoccia M, Rosendahl U, Mohiaddin Ret al., 2021, Cardiac Decompression by Pericardiectomy for Constrictive Pericarditis: Multimodality Imaging to Identify Patients at Risk for Prolonged Inotropic Support., J Cardiovasc Imaging, Vol: 29, Pages: 361-372

BACKGROUND: Post-pericardiectomy right ventricular (RV) failure has been reported but it remains not well-studied. To investigate imaging parameters that could predict RV function and the outcome of patients post-pericardiectomy. METHODS: We analysed data from a total of 53 CP patients undergoing pericardiectomy. Preoperative, early and at 6 months postoperative echocardiographic (echo) imaging datasets were analysed and correlated with preoperative cardiac magnetic resonance (CMR), cardiac computed tomography scans and histology. The primary endpoint of the study was RV functional status early postoperatively and at 6 months. Secondary endpoint was the need for prolonged inotropic support. RESULTS: A cause of CP was identified in 26 patients (49%). Inotropic support ≥ 48 hours was required in n = 28 (53%) of patients and was correlated with lower preoperative RV areas by echo or RV volumes by CMR (p < 0.05 for all). A pericardial score based on pericardial thickness/calcification and epicardial fat thickness had good diagnostic accuracy to identify patients requiring prolonged use of inotropes (area under the curve, 0.825; 95% confidence interval, 0.674-0.976). Pericardiectomy resulted in RV decompression and impaired RV function early postoperatively (fractional area change: 40.5% ± 8.8% preoperatively vs. 31.4% ± 10.4% early postoperatively vs. 42.5% ± 10.2% at 6 months, p < 0.001). CONCLUSIONS: We show that a smaller RV cavity size and a pericardial scoring system are associated with prolonged inotropic support in CP patients undergoing pericardiectomy. RV systolic impairment post decompression is present in most patients, but it is only transient.

Journal article

Haldar S, Khan HR, Boyalla V, Kralj-Hans I, Jones S, Lord J, Onyimadu O, Sathishkumar A, Bahrami T, Clague J, De Souza A, Francis D, Hussain W, Jarman J, Jones DG, Chen Z, Mediratta N, Hyde J, Lewis M, Mohiaddin R, Salukhe T, Murphy C, Kelly J, Khattar R, Toff WD, Markides V, McCready J, Gupta D, Wong Tet 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 &gt; 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

Journal article

Bermejo IA, Bautista-Rodriguez C, Fraisse A, Voges I, Gatehouse P, Kang H, Piccinelli E, Rowlinson G, Lane M, Semple T, Moscatelli S, Dwornik M, Lota A, Di Salvo G, Wage R, Prasad SK, Mohiaddin R, Pennell DJ, Krupickova Set al., 2021, Short-Term Sequelae of Multisystem Inflammatory Syndrome in Children Assessed by CMR (vol 14, pg 1666, 2021), JACC-CARDIOVASCULAR IMAGING, Vol: 14, Pages: 1885-1885, ISSN: 1936-878X

Journal article

Almogheer B, Antonopoulos AS, Azzu A, Al Mohdar S, Vlachopoulos C, Pantazis A, Mohiaddin RHet al., 2021, Diagnostic and Prognostic Value of Cardiovascular Magnetic Resonance in Neuromuscular Cardiomyopathies, PEDIATRIC CARDIOLOGY, Vol: 43, Pages: 27-38, ISSN: 0172-0643

Journal article

Bermejo IA, Bautista-Rodriguez C, Fraisse A, Voges I, Gatehouse P, Kang H, Piccinelli E, Rowlinson G, Lane M, Semple T, Moscatelli S, Dwornik M, Lota A, Di Salvo G, Wage R, Prasad SK, Mohiaddin R, Pennell DJ, Thavendiranathan P, Krupickova Set al., 2021, Short-Term sequelae of Multisystem Inflammatory Syndrome in Children Assessed by CMR, JACC-CARDIOVASCULAR IMAGING, Vol: 14, Pages: 1666-1667, ISSN: 1936-878X

Journal article

Hatipoglu S, Almogheer B, Mahon C, Houshmand G, Uygur B, Giblin GT, Krupickova S, Baksi AJ, Alpendurada F, Prasad SK, Babu-Narayan SV, Gatzoulis MA, Mohiaddin RH, Pennell DJ, Izgi Cet al., 2021, Clinical Significance of Partial Anomalous Pulmonary Venous Connections (Isolated and Atrial Septal Defect Associated) Determined by Cardiovascular Magnetic Resonance, CIRCULATION-CARDIOVASCULAR IMAGING, Vol: 14, ISSN: 1941-9651

Journal article

Almogheer B, Antonopoulos A, Papagkikas P, Mohiaddin RHet al., 2021, The Big Mitral Annulus Calcification (MAC) - Tissue Characterization and Assessment of Haemodynamic Impact Using Cardiac Magnetic Resonance -, CIRCULATION JOURNAL, Vol: 85, Pages: 315-315, ISSN: 1346-9843

Journal article

Sardari A, Tabarsi P, Borhany H, Mohiaddin R, Houshmand Get al., 2021, Myocarditis detected after COVID-19 recovery, EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, Vol: 22, Pages: 131-132, ISSN: 2047-2404

Journal article

Mahon C, Mohiaddin RH, 2021, The emerging applications of cardiovascular magnetic resonance imaging in transcatheter aortic valve implantation, CLINICAL RADIOLOGY, Vol: 76, ISSN: 0009-9260

Journal article

Haldar S, Khan HR, Boyalla V, Kralj-Hans I, Jones S, Lord J, Onyimadu O, Satishkumar A, Bahrami T, De Souza A, Clague JR, Francis DP, Hussain W, Jarman JW, Jones DG, Chen Z, Mediratta N, Hyde J, Lewis M, Mohiaddin R, Salukhe TV, Murphy C, Kelly J, Khattar RS, Toff WD, Markides V, McCready J, Gupta D, Wong T, CASA-AF Investigatorset al., 2020, Catheter ablation vs. thoracoscopic surgical ablation in long-standing persistent atrial fibrillation: CASA-AF randomized controlled trial., European Heart Journal, Vol: 41, Pages: 4471-4480, ISSN: 0195-668X

AIMS: Long-standing persistent atrial fibrillation (LSPAF) is challenging to treat with suboptimal catheter ablation (CA) outcomes. Thoracoscopic surgical ablation (SA) has shown promising efficacy in atrial fibrillation (AF). This multicentre randomized controlled trial tested whether SA was superior to CA as the first interventional strategy in de novo LSPAF. METHODS AND RESULTS: We randomized 120 LSPAF patients to SA or CA. All patients underwent predetermined lesion sets and implantable loop recorder insertion. Primary outcome was single procedure freedom from AF/atrial tachycardia (AT) ≥30 s without anti-arrhythmic drugs at 12 months. Secondary outcomes included clinical success (≥75% reduction in AF/AT burden); procedure-related serious adverse events; changes in patients' symptoms and quality-of-life scores; and cost-effectiveness. At 12 months, freedom from AF/AT was recorded in 26% (14/54) of patients in SA vs. 28% (17/60) in the CA group [OR 1.128, 95% CI (0.46-2.83), P = 0.83]. Reduction in AF/AT burden ≥75% was recorded in 67% (36/54) vs. 77% (46/60) [OR 1.13, 95% CI (0.67-4.08), P = 0.3] in SA and CA groups, respectively. Procedure-related serious adverse events within 30 days of intervention were reported in 15% (8/55) of patients in SA vs. 10% (6/60) in CA, P = 0.46. One death was reported after SA. Improvements in AF symptoms were greater following CA. Over 12 months, SA was more expensive and provided fewer quality-adjusted life-years (QALYs) compared with CA (0.78 vs. 0.85, P = 0.02). CONCLUSION: Single procedure thoracoscopic SA is not superior to CA in treating LSPAF. Catheter ablation provided greater improvements in symptoms and accrued significantly more QALYs during follow-up than SA. CLINICAL TRIAL REGISTRATION: ISRCTN18250790 and ClinicalTrials.gov: NCT02755688.

Journal article

Azzu A, Antonopoulos AS, Almogheer B, Mohiaddin RHet al., 2020, A case report of a primary cardiac lymphoma causing superior vena cava obstruction: the value of multimodality imaging in the clinical workup, EUROPEAN HEART JOURNAL-CASE REPORTS, Vol: 4

Journal article

Altamar IB, Whittaker E, Herberg J, Fraisse A, Bautista C, Kang H, Giselle R, Wage R, Lane M, Piccinelli E, Di Salvo G, Mohiaddin R, Pennell DJ, Krupickova SJet al., 2020, Short-term Sequalae of Children With Paediatric Inflammatory Multisystem Syndrome Temporarily Associated With Sars-cov-2 Infection (pims-ts) Assessed by Cardiovascular Magnetic Resonance, Publisher: LIPPINCOTT WILLIAMS & WILKINS, ISSN: 0009-7322

Conference paper

Leiner T, Bogaert J, Friedrich MG, Mohiaddin R, Muthurangu V, Myerson S, Powell AJ, Raman S, Pennell DJet al., 2020, SCMR Position Paper (2020) on clinical indications for cardiovascular magnetic resonance, JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, Vol: 22, ISSN: 1097-6647

Journal article

Krupickova S, Voges I, Mohiaddin R, 2020, Role of cardiovascular magnetic resonance in an adolescent with a giant intrapericardial mass, CARDIOLOGY IN THE YOUNG, Vol: 30, Pages: 1524-1526, ISSN: 1047-9511

Journal article

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