190 results on '"Captur G"'
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2. The fractal complexity of myocardial trabeculae
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Captur, G., Moon, J. C. M., and Elliott, P. M. E.
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616.1 - Abstract
Objectives: This thesis centres on the development of a technique for quantifying left ventricular (LV) trabeculation using fractal geometry. Fractals are natural phenomena or mathematical sets of infinitely complex patterns that are self-similar across different scales. In humans, my objectives were to use a fractal analysis to i) better diagnose LV noncompaction (LVNC); ii) describe population-based reference ranges; iii) appraise the role of trabeculae as a pre-phenotypic disease marker in hypertrophic cardiomyopathy (HCM). In the mouse, my objectives were to use a fractal analysis to i) track the transformation (“compaction”) in myocardial wall structure during embryogenesis; ii) describe the trabecular profile in LVNC models. Background: Quantification of trabeculation is important for the diagnosis of LVNC. Current criteria have limitations. The complexity of trabeculae led us to hypothesize that a fractal approach applied to imaging datasets of the heart (cardiovascular magnetic resonance [CMR] in humans; high-resolution episcopic microscopy [HREM] in mice) would be of value. Methods: We created a fractal tool for human application in MATLAB® and subsequently OsiriX, and then deployed it within the commercial software platform, cvi42 for distribution (see Chapter 6). Using the former I measured fractal dimensions (FD) in a number of key healthy and diseased cohorts including: 135 LVNC patients/controls, 176 HCM patients/matched controls (including subclinical HCM in a 13- centre study) and 2,547 participants from the Multi-Ethnic Study of Atherosclerosis (MESA). I adapted the methodology to analyse the trabecular development in 123 embryonic mouse hearts at stages, E14.5, E15.5, E16.5, E17.5 and E18.5. Results: Human CMR fractal analysis was reproducible at multicentre scale (Chapters 8 - 11). The FD varied in a characteristic pattern from LV base to apex. The maximal apical FD (FDMaxApical) was increased in LVNC (1.392 ± 0.010) and in overt HCM (1.370 ± 0.08), and in subclinical HCM it was predictive of sarcomere gene mutation carriage (β = 1.6, P < 0.001). In healthy hearts, it was higher in African-Americans, Hispanics, and hypertensives and lower in Chinese-Americans compared to Caucasians. In Chapter 12 I show how the mature embryo heart exhibits a base-to-apex trabecular pattern similar to that observed in humans, and how FD falls (especially basally) with development, but progressed abnormally in LVNC models. Conclusions: Fractal analysis represents a new method for objectively quantifying myocardial trabecular complexity. The tools I have created are simple to use and commercially/freeware available. They can demonstrate the difference between health and overt/preclinical disease, and between different ethnicities. New insights into cardiac development in humans and mouse, particularly in HCM are presented, as are insights into cardiac adaptation in health.
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- 2015
3. 1 Microstructural & microvascular phenotype of hypertrophic cardiomyopathy – from mutation to hypertrophy; a multicentre collaborative study of 192-subjects
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Joy, G, primary, Kelly, CI, additional, Webber, M, additional, Pierce, I, additional, Teh, I, additional, Schneider, JE, additional, Nguyen, C, additional, Kellman, P, additional, Hughes, RK, additional, Velazques, P, additional, Das, A, additional, Tomé, M, additional, Captur, G, additional, Dall’Armellina, E, additional, Moon, JC, additional, and Lopes, LR, additional
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- 2023
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4. Age is the main determinant of COVID-19 related in-hospital mortality with minimal impact of pre-existing comorbidities, a retrospective cohort study
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Henkens, M. T. H. M., Raafs, A. G., Verdonschot, J. A. J., Linschoten, M., van Smeden, M., Wang, P., van der Hooft, B. H. M., Tieleman, R., Janssen, M. L. F., ter Bekke, R. M. A., Hazebroek, M. R., van der Horst, I. C. C., Asselbergs, F. W., Magdelijns, F. J. H., Heymans, S. R. B., Al-Ali, A. K., Al-Muhanna, F. A., Al-Windy, N. Y. Y., Almubarak, Y. A., Alnafie, A. N., Alshahrani, M., Alshehri, A. M., Anthonio, R. L., Aujayeb, A., ten Berg, J. M., van Boxem, A. J. M., Captur, G., Caputo, M., Charlotte, N., Dark, P., de Sutter, J., Delsing, C. E., Dorman, H. G. R., Drost, J. T., Emans, M. E., Ferreira, J. B., Gabriel, L., van Gilst, W. H., Groenemeijer, B. E., Haerkens-Arends, H. E., van der Harst, P., Hedayat, B., van der Heijden, D. J., Hellou, E., Hermanides, R. S., Hermans-van Ast, J. F., van Hessen, M. W. J., van Ierssel, S. H., Jewbali, L. S., Kearney, M. T., van Kesteren, H. A. M., Kietselaer, B. L. J. H., Koning, A. M. H., Kopylov, P. Y., Kuijper, A. F. M., Kwakkel-van Erp, J. M., van der Linden, M. M. J. M., Linssen, G. C. M., Macias Ruiz, R., Martens, F. M. A. C., McCann, G. P., van der Meer, P., Meijs, M. F. L., Messiaen, P., Monraats, P. S., Montagna, L., Moriarty, A., Mosterd, A., Nierop, P. R., van Ofwegen-Hanekamp, C. E. E., Pinto, Y. M., Poorhosseini, H., Prasad, S., Redón, J., Reidinga, A. C., Ribeiro, M. I. A., Ripley, D. P., Salah, R., Saneei, E., Saxena, M., Schaap, J., Schellings, D. A. A. M., Schut, A., Shafiee, A., Shore, A. C., Siebelink, H. J., Smits, P. C., Pisters, R., Tessitore, E., Tieleman, R. G., Timmermans, P., Tio, R. A., Tjong, F. V. Y., den Uil, C. A., van Craenenbroeck, E. M., van Veen, H. P. A. A., Veneman, T., Verschure, D. O., de Vries, J. K., van de Wal, R. M. A., van de Watering, D. J., Westendorp, I. C. D., Westendorp, P. H. M., Weytjens, C., Wierda, E., Williams, B., Woudstra, P., Wu, K. W., Zaal, R., Zaman, A. G., van der Zee, P. M., Cardiology, ACS - Heart failure & arrhythmias, CAPACITY-COVID collaborative consortium, Cardiologie, RS: Carim - H02 Cardiomyopathy, MUMC+: DA KG Lab Centraal Lab (9), Klinische Neurowetenschappen, MUMC+: HZC Med Staf Spec Klinische Neurofys (9), RS: MHeNs - R3 - Neuroscience, MUMC+: MA Med Staf Spec Cardiologie (9), RS: Carim - H04 Arrhythmogenesis and cardiogenetics, MUMC+: MA Med Staf Artsass Cardiologie (9), RS: Carim - V04 Surgical intervention, Intensive Care, MUMC+: MA Medische Staf IC (9), MUMC+: MA Intensive Care (3), Interne Geneeskunde, and MUMC+: MA Alg Interne Geneeskunde (9)
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Male ,SARS-CoV-2 ,COVID-19 ,Comorbidity ,Hospitalization ,Risk Factors ,Humans ,Mediation analysis ,Female ,Hospital Mortality ,Human medicine ,Geriatrics and Gerontology ,Mortality ,Aged ,Retrospective Studies ,Netherlands - Abstract
Background Age and comorbidities increase COVID-19 related in-hospital mortality risk, but the extent by which comorbidities mediate the impact of age remains unknown. Methods In this multicenter retrospective cohort study with data from 45 Dutch hospitals, 4806 proven COVID-19 patients hospitalized in Dutch hospitals (between February and July 2020) from the CAPACITY-COVID registry were included (age 69[58–77]years, 64% men). The primary outcome was defined as a combination of in-hospital mortality or discharge with palliative care. Logistic regression analysis was performed to analyze the associations between sex, age, and comorbidities with the primary outcome. The effect of comorbidities on the relation of age with the primary outcome was evaluated using mediation analysis. Results In-hospital COVID-19 related mortality occurred in 1108 (23%) patients, 836 (76%) were aged ≥70 years (70+). Both age 70+ and female sex were univariably associated with outcome (odds ratio [OR]4.68, 95%confidence interval [4.02–5.45], OR0.68[0.59–0.79], respectively;both pp Conclusions Age is the main determinant of COVID-19 related in-hospital mortality, with negligible mediation effect of pre-existing comorbidities. Trial registration CAPACITY-COVID (NCT04325412)
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- 2022
5. Clinical presentation, disease course, and outcome of COVID-19 in hospitalized patients with and without pre-existing cardiac disease: a cohort study across 18 countries
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Linschoten, M, Uijl, A, Schut, A, Jakob, CEM, Romao, LR, Bell, RM, McFarlane, E, Stecher, M, Zondag, AGM, van Iperen, EPA, Hermans-van Ast, JF, Lea, NC, Schaap, J, Jewbali, LS, Smits, PC, Patel, RS, Aujayeb, A, van Smeden, M, Siebelink, HJ, Williams, S, Pilgram, L, Tieleman, RG, Williams, B, Asselbergs, FW, Al-Ali, AK, Al-Muhanna, FA, Al-Rubaish, AM, Al-Windy, NYY, Alkhalil, M, Almubarak, YA, Al Nafie, AN, Al Shahrani, M, Al Shehri, AM, Anning, C, Anthonio, RL, Badings, EA, Ball, C, Van Beek, EA, Ten Berg, JM, Von Bergwelt-Baildon, M, Bianco, M, Blagova, O, Bleijendaal, H, Bor, WL, Borgmann, S, van Boxem, AJM, van den Brink, FS, Bucciarelli-Ducci, C, Van Bussel, BCT, Byrom-Goulthorp, R, Captur, G, Caputo, M, Charlotte, N, vom Dahl, J, Dark, P, De Sutter, J, Degenhardt, C, Delsing, CE, Dolff, S, Dorman, HGR, Drost, JT, Eberwein, L, Emans, ME, Er, AG, Ferreira, JB, Forner, MJ, Friedrichs, A, Gabriel, L, Groenemeijer, BE, Groenendijk, AL, Gruener, B, Guggemos, W, Haerkens-Arends, HE, Hanses, F, Hedayat, B, Heigener, D, van der Heijden, DJ, Hellou, E, Hellwig, K, Henkens, MTHM, Hermanides, RS, Hermans, WRM, van Hessen, MWJ, Heymans, SRB, Hilt, AD, van der Horst, ICC, Hower, M, van Ierssel, SH, Isberner, N, Jensen, B, Kearney, MT, Kielstein, JT, Kietselaer, BLJH, Kochanek, M, Kolk, MZH, Koning, AMH, Kopylov, PY, Kuijper, AFM, Kwakkel-van, ERPJM, Lanznaster, J, van der Linden, MMJM, van der Lingen, ACJ, Linssen, GCM, Lomas, D, Maarse, M, Magdelijns, FJH, Magro, M, Markart, P, Martens, FMAC, Mazzilli, SG, McCann, GP, van der Meer, P, Meijs, MFL, Merle, U, Messiaen, P, Milovanovic, M, Monraats, PS, Montagna, L, Moriarty, A, Moss, AJ, Mosterd, A, Nadalin, S, Nattermann, J, Neufang, M, Nierop, PR, Offerhaus, JA, Van Ofwegen-Hanekamp, CEE, Parker, E, Persoon, AM, Piepel, C, Pinto, YM, Poorhosseini, H, Prasad, S, Raafs, AG, Raichle, C, Rauschning, D, Redon, J, Reidinga, AC, Ribeiro, MIA, Riedel, C, Rieg, S, Ripley, DP, Rommele, C, Rothfuss, K, Ruddel, J, Ruthrich, MM, Salah, R, Saneei, E, Saxena, M, Schellings, DAAM, Scholte, NTB, Schubert, J, Seelig, J, Shafiee, A, Shore, AC, Spinner, C, Stieglitz, S, Strauss, R, Sturkenboom, NH, Tessitore, E, Thomson, RJ, Timmermans, PJR, Tio, RA, Tjong, FVY, Tometten, L, Trauth, J, Van Craenenbroeck, EM, van Veen, HPAA, den Uil, CA, Vehreschild, MJGT, Veldhuis, L, Veneman, T, Verschure, DO, Voigt, I, Walter, L, vande Watering, DJ, de Vries, JK, vande Wal, RMA, Westendorp, ICD, Westendorp, PHM, Westhoff, T, Weytjens, C, Wierda, E, Wille, K, de With, K, Worm, M, Woudstra, P, Wu, KW, Zaal, R, Zaman, AG, van der Zee, PM, Zijlstra, LE, Alling, TE, Ahmed, R, Bayraktar-Verver, ECE, van Aken, K, Jimenes, Bermudez FJ, Biole, CA, Den Boer-Penning, P, Bontje, M, Bos, M, Bosch, L, Broekman, M, Broeyer, FJF, de Bruijn, EAW, Bruinsma, S, Cardoso, NM, Cosyns, B, Len, van Da DH, Dekimpe, E, Domange, J, van Doorn, JL, van DOorn, P, Dormal, F, Drost, IMJ, Dunnink, A, van Eck, JWM, Elshinawy, K, Gevers, RMM, Gognieva, DG, van der Graaf, M, Grangeon, S, Guclu, A, Habib, A, Haenen, NA, Hamilton, K, Handgraaf, S, Heidbuchel, H, Hendriks-van Woerden, M, Hessels-Linnemeijer, BM, Hosseini, K, Huisman, J, Jacobs, TC, Jansen, SE, Janssen, A, Jourdan, K, ten Kate, GL, van Kempen, MJ, Kievit, CM, Kleikers, P, Knufman, N, van der Kooi, SE, Koole, BAS, Koole, MAC, Kui, KK, Kuipers-Elferink, L, Lemoine, I, Lensink, E, van Marrewijk, V, Meijer, EJ, Melein, AJ, Mesitskaya, DF, van Nes, CPM, Paris, FMA, Perrelli, MG, Pieterse-Rots, A, Pisters, R, Polkerman, BC, van Poppel, A, Reinders, S, Reitsma, MJ, Ruiter, AH, Selder, JL, van der Sluis, A, Sousa, AIC, Tajdini, M, Sanchez, Tercedor L, Van de Heyning, CM, Vial, H, Vlieghe, E, Vonkeman, HE, Vreugdenhil, P, de Vries, TAC, Willems, AM, Wils, AM, Zoet-Nugteren, SK, Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Cardiology, Intensive Care, RS: CAPHRI - R5 - Optimising Patient Care, MUMC+: MA Medische Staf IC (9), RS: Carim - H02 Cardiomyopathy, Cardiologie, MUMC+: MA Med Staf Spec Cardiologie (9), RS: Carim - V04 Surgical intervention, MUMC+: MA Intensive Care (3), UCL - SSS/IREC/MONT - Pôle Mont Godinne, UCL - (MGD) Service de cardiologie, CAPACITY-COVID Collaborative Consortium, LEOSS Study Group, Rheumatology, AII - Infectious diseases, AII - Inflammatory diseases, AMS - Musculoskeletal Health, AMS - Tissue Function & Regeneration, ACS - Heart failure & arrhythmias, General practice, Epidemiology and Data Science, Graduate School, Nuclear Medicine, and ACS - Atherosclerosis & ischemic syndromes
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Male ,Cardiac & Cardiovascular Systems ,Epidemiology ,education ,Medizin ,Comorbidity ,AMERICAN-COLLEGE ,GUIDELINES ,DIAGNOSIS ,Cohort Studies ,Risk Factors ,MANAGEMENT ,Humans ,AcademicSubjects/MED00200 ,Hospital Mortality ,Aged ,Heart Failure ,Science & Technology ,SARS-CoV-2 ,COVID-19 ,ASSOCIATION ,Cardiovascular disease ,EUROPEAN-SOCIETY ,Hospitalization ,surgical procedures, operative ,Editorial ,Cardiovascular System & Cardiology ,behavior and behavior mechanisms ,HEART-FAILURE ,Female ,Patient registry ,Human medicine ,Cardiology and Cardiovascular Medicine ,Life Sciences & Biomedicine ,psychological phenomena and processes ,TASK-FORCE - Abstract
Aims Patients with cardiac disease are considered high risk for poor outcomes following hospitalization with COVID-19. The primary aim of this study was to evaluate heterogeneity in associations between various heart disease subtypes and in-hospital mortality. Methods and results We used data from the CAPACITY-COVID registry and LEOSS study. Multivariable Poisson regression models were fitted to assess the association between different types of pre-existing heart disease and in-hospital mortality. A total of 16 511 patients with COVID-19 were included (21.1% aged 66–75 years; 40.2% female) and 31.5% had a history of heart disease. Patients with heart disease were older, predominantly male, and often had other comorbid conditions when compared with those without. Mortality was higher in patients with cardiac disease (29.7%; n = 1545 vs. 15.9%; n = 1797). However, following multivariable adjustment, this difference was not significant [adjusted risk ratio (aRR) 1.08, 95% confidence interval (CI) 1.02–1.15; P = 0.12 (corrected for multiple testing)]. Associations with in-hospital mortality by heart disease subtypes differed considerably, with the strongest association for heart failure (aRR 1.19, 95% CI 1.10–1.30; P Conclusion Considerable heterogeneity exists in the strength of association between heart disease subtypes and in-hospital mortality. Of all patients with heart disease, those with heart failure are at greatest risk of death when hospitalized with COVID-19. Serious cardiac complications are rare during hospitalization.
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- 2021
6. Advanced microstructural substrate detection in pre-hypertrophic HCM and its relationship to arrhythmogenesis; a hybrid CMR-ECG-Imaging study
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Joy, G, primary, Webber, M, additional, Kelly, C I, additional, Pierce, I, additional, Teh, I, additional, Schneider, J, additional, Nguyen, C, additional, Kellman, P, additional, Orini, M, additional, Lambiase, P, additional, Rudy, Y, additional, Captur, G, additional, Dall'armellina, E, additional, Moon, J C, additional, and Lopes, L R, additional
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- 2022
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7. Heterozygous APOE ε4 carriage associates with improved myocardial efficiency in older age
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Topriceanu, C, primary, Weber, M, additional, Fiona, C, additional, Moon, J C, additional, Chaturvedi, N, additional, Hughes, A D, additional, Schott, J, additional, Richards, M, additional, and Captur, G, additional
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- 2022
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8. Improved diagnostic accuracy for apical hypertrophic cardiomyopathy
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Hughes, R K, primary, Shiwani, H, additional, Rosmini, S, additional, Burke, L, additional, Pierce, I, additional, Castelletti, S, additional, Xue, H, additional, Kellman, P, additional, Lopes, L R, additional, Treibel, T, additional, Manisty, C, additional, Captur, G, additional, Davies, R, additional, and Moon, J, additional
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- 2022
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9. The risk of cardiac failure following metalon-metal hip arthroplasty
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Sabah, S. A., Moon, J. C., Jenkins-Jones, S., Morgan, C. LI., Currie, C. J., Wilkinson, J. M., Porter, M., Captur, G., Henckel, J., Chaturvedi, N., Kay, P., Skinner, J. A., Hart, A. H., and Manisty, C.
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- 2018
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10. Plasma proteomic signature predicts who will get persistent symptoms following SARS-CoV-2 infection
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Captur, G, Moon, JC, Topriceanu, C-C, Joy, G, Swadling, L, Hallqvist, J, Doykov, I, Patel, N, Spiewak, J, Baldwin, T, Hamblin, M, Menacho, K, Fontana, M, Treibel, TA, Manisty, C, O'Brien, B, Gibbons, JM, Pade, C, Brooks, T, Altmann, DM, Boyton, RJ, McKnight, Á, Maini, MK, Noursadeghi, M, Mills, K, Heywood, WE, UK COVIDsortium Investigators, and Medical Research Council (MRC)
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Adult ,Male ,Proteomics ,Proteome ,SARS-CoV-2 ,COVID-19 ,1103 Clinical Sciences ,General Medicine ,Middle Aged ,General Biochemistry, Genetics and Molecular Biology ,1117 Public Health and Health Services ,Pharmaceutical Preparations ,Case-Control Studies ,Post-acute sequelae of SARS-CoV-2 (PASC) ,Humans ,Female ,UK COVIDsortium Investigators - Abstract
BACKGROUND: The majority of those infected by ancestral Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) during the UK first wave (starting March 2020) did not require hospitalisation. Most had a short-lived mild or asymptomatic infection, while others had symptoms that persisted for weeks or months. We hypothesized that the plasma proteome at the time of first infection would reflect differences in the inflammatory response that linked to symptom severity and duration. METHODS: We performed a nested longitudinal case-control study and targeted analysis of the plasma proteome of 156 healthcare workers (HCW) with and without lab confirmed SARS-CoV-2 infection. Targeted proteomic multiple-reaction monitoring analysis of 91 pre-selected proteins was undertaken in uninfected healthcare workers at baseline, and in infected healthcare workers serially, from 1 week prior to 6 weeks after their first confirmed SARS-CoV-2 infection. Symptom severity and antibody responses were also tracked. Questionnaires at 6 and 12 months collected data on persistent symptoms. FINDINGS: Within this cohort (median age 39 years, interquartile range 30-47 years), 54 healthcare workers (44% male) had PCR or antibody confirmed infection, with the remaining 102 (38% male) serving as uninfected controls. Following the first confirmed SARS-CoV-2 infection, perturbation of the plasma proteome persisted for up to 6 weeks, tracking symptom severity and antibody responses. Differentially abundant proteins were mostly coordinated around lipid, atherosclerosis and cholesterol metabolism pathways, complement and coagulation cascades, autophagy, and lysosomal function. The proteomic profile at the time of seroconversion associated with persistent symptoms out to 12 months. Data are available via ProteomeXchange with identifier PXD036590. INTERPRETATION: Our findings show that non-severe SARS-CoV-2 infection perturbs the plasma proteome for at least 6 weeks. The plasma proteomic signature at the time of seroconversion has the potential to identify which individuals are more likely to suffer from persistent symptoms related to SARS-CoV-2 infection. FUNDING INFORMATION: The COVIDsortium is supported by funding donated by individuals, charitable Trusts, and corporations including Goldman Sachs, Citadel and Citadel Securities, The Guy Foundation, GW Pharmaceuticals, Kusuma Trust, and Jagclif Charitable Trust, and enabled by Barts Charity with support from University College London Hospitals (UCLH) Charity. This work was additionally supported by the Translational Mass Spectrometry Research Group and the Biomedical Research Center (BRC) at Great Ormond Street Hospital.
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- 2022
11. T 1 mapping performance and measurement repeatability: Results from the multi-national T 1 mapping standardization phantom program (T1MES)
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Captur, G, Bhandari, A, Bruhl, R, Ittermann, B, Keenan, K, Yang, Y, Eames, R, Benedetti, G, Torlasco, C, Ricketts, L, Boubertakh, R, Fatih, N, Greenwood, J, Paulis, L, Lawton, C, Bucciarelli-Ducci, C, Lamb, H, Steeds, R, Leung, S, Berry, C, Valentin, S, Flett, A, De Lange, C, Decobelli, F, Viallon, M, Croisille, P, Higgins, D, Greiser, A, Pang, W, Hamilton-Craig, C, Strugnell, W, Dresselaers, T, Barison, A, Dawson, D, Taylor, A, Mongeon, F, Plein, S, Messroghli, D, Al-Mallah, M, Grieve, S, Lombardi, M, Jang, J, Salerno, M, Chaturvedi, N, Kellman, P, Bluemke, D, Nezafat, R, Gatehouse, P, Moon, J, Captur G., Bhandari A., Bruhl R., Ittermann B., Keenan K. E., Yang Y., Eames R. J., Benedetti G., Torlasco C., Ricketts L., Boubertakh R., Fatih N., Greenwood J. P., Paulis L. E. M., Lawton C. B., Bucciarelli-Ducci C., Lamb H. J., Steeds R., Leung S. W., Berry C., Valentin S., Flett A., De Lange C., Decobelli F., Viallon M., Croisille P., Higgins D. M., Greiser A., Pang W., Hamilton-Craig C., Strugnell W. E., Dresselaers T., Barison A., Dawson D., Taylor A. J., Mongeon F. -P., Plein S., Messroghli D., Al-Mallah M., Grieve S. M., Lombardi M., Jang J., Salerno M., Chaturvedi N., Kellman P., Bluemke D. A., Nezafat R., Gatehouse P., Moon J. C., Captur, G, Bhandari, A, Bruhl, R, Ittermann, B, Keenan, K, Yang, Y, Eames, R, Benedetti, G, Torlasco, C, Ricketts, L, Boubertakh, R, Fatih, N, Greenwood, J, Paulis, L, Lawton, C, Bucciarelli-Ducci, C, Lamb, H, Steeds, R, Leung, S, Berry, C, Valentin, S, Flett, A, De Lange, C, Decobelli, F, Viallon, M, Croisille, P, Higgins, D, Greiser, A, Pang, W, Hamilton-Craig, C, Strugnell, W, Dresselaers, T, Barison, A, Dawson, D, Taylor, A, Mongeon, F, Plein, S, Messroghli, D, Al-Mallah, M, Grieve, S, Lombardi, M, Jang, J, Salerno, M, Chaturvedi, N, Kellman, P, Bluemke, D, Nezafat, R, Gatehouse, P, Moon, J, Captur G., Bhandari A., Bruhl R., Ittermann B., Keenan K. E., Yang Y., Eames R. J., Benedetti G., Torlasco C., Ricketts L., Boubertakh R., Fatih N., Greenwood J. P., Paulis L. E. M., Lawton C. B., Bucciarelli-Ducci C., Lamb H. J., Steeds R., Leung S. W., Berry C., Valentin S., Flett A., De Lange C., Decobelli F., Viallon M., Croisille P., Higgins D. M., Greiser A., Pang W., Hamilton-Craig C., Strugnell W. E., Dresselaers T., Barison A., Dawson D., Taylor A. J., Mongeon F. -P., Plein S., Messroghli D., Al-Mallah M., Grieve S. M., Lombardi M., Jang J., Salerno M., Chaturvedi N., Kellman P., Bluemke D. A., Nezafat R., Gatehouse P., and Moon J. C.
- Abstract
Background: The T 1 Mapping and Extracellular volume (ECV) Standardization (T1MES) program explored T 1 mapping quality assurance using a purpose-developed phantom with Food and Drug Administration (FDA) and Conformité Européenne (CE) regulatory clearance. We report T 1 measurement repeatability across centers describing sequence, magnet, and vendor performance. Methods: Phantoms batch-manufactured in August 2015 underwent 2 years of structural imaging, B 0 and B 1, and "reference" slow T 1 testing. Temperature dependency was evaluated by the United States National Institute of Standards and Technology and by the German Physikalisch-Technische Bundesanstalt. Center-specific T 1 mapping repeatability (maximum one scan per week to minimum one per quarter year) was assessed over mean 358 (maximum 1161) days on 34 1.5 T and 22 3 T magnets using multiple T 1 mapping sequences. Image and temperature data were analyzed semi-automatically. Repeatability of serial T 1 was evaluated in terms of coefficient of variation (CoV), and linear mixed models were constructed to study the interplay of some of the known sources of T 1 variation. Results: Over 2 years, phantom gel integrity remained intact (no rips/tears), B 0 and B 1 homogenous, and "reference" T 1 stable compared to baseline (% change at 1.5 T, 1.95 ± 1.39%; 3 T, 2.22 ± 1.44%). Per degrees Celsius, 1.5 T, T 1 (MOLLI 5s(3s)3s) increased by 11.4 ms in long native blood tubes and decreased by 1.2 ms in short post-contrast myocardium tubes. Agreement of estimated T 1 times with "reference" T 1 was similar across Siemens and Philips CMR systems at both field strengths (adjusted R 2 ranges for both field strengths, 0.99-1.00). Over 1 year, many 1.5 T and 3 T sequences/magnets were repeatable with mean CoVs < 1 and 2% respectively. Repeatability was narrower for 1.5 T over 3 T. Within T1MES repeatability for native T 1 was narrow for several sequences, for example, at 1.5 T, Siemens MOLLI 5s(3s)3s prototype number 448B (
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- 2020
12. Clinical presentation, disease course, and outcome of COVID-19 in hospitalized patients with and without pre-existing cardiac disease: a cohort study across 18 countries
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Linschoten, M., Uijl, A., Schut, A., Jakob, C. E. M., Romao, L. R., Bell, R. M., McFarlane, E., Stecher, M., Zondag, A. G. M., van Iperen, E. P. A., Hermans-van Ast, J. F., Lea, N. C., Schaap, J., Jewbali, L. S., Smits, P. C., Patel, R. S., Aujayeb, A., van Smeden, M., Siebelink, H. J., Williams, S., Pilgram, L., Tieleman, R. G., Williams, B., Asselbergs, F. W., Al-Ali, A. K., Al-Muhanna, F. A., Al-Rubaish, A. M., Al-Windy, N. Y. Y., Alkhalil, M., Almubarak, Y. A., Al Nafie, A. N., Al Shahrani, M., Al Shehri, A. M., Anning, C., Anthonio, R. L., Badings, E. A., Ball, C., Van Beek, E. A., Ten Berg, J. M., Von Bergwelt-Baildon, M., Bianco, M., Blagova, O., V, Bleijendaal, H., Bor, W. L., Borgmann, S., van Boxem, A. J. M., van den Brink, F. S., Bucciarelli-Ducci, C., Van Bussel, B. C. T., Byrom-Goulthorp, R., Captur, G., Caputo, M., Charlotte, N., vom Dahl, J., Dark, P., De Sutter, J., Degenhardt, C., Delsing, C. E., Dolff, S., Dorman, H. G. R., Drost, J. T., Eberwein, L., Emans, M. E., Er, A. G., Ferreira, J. B., Forner, M. J., Friedrichs, A., Gabriel, L., Groenemeijer, B. E., Groenendijk, A. L., Gruener, B., Guggemos, W., Haerkens-Arends, H. E., Hanses, F., Hedayat, B., Heigener, D., van der Heijden, D. J., Hellou, E., Hellwig, K., Henkens, M. T. H. M., Hermanides, R. S., Hermans, W. R. M., van Hessen, M. W. J., Heymans, S. R. B., Hilt, A. D., van der Horst, I. C. C., Hower, M., van Ierssel, S. H., Isberner, N., Jensen, B., Kearney, M. T., Kielstein, J. T., Kietselaer, B. L. J. H., Kochanek, M., Kolk, M. Z. H., Koning, A. M. H., Kopylov, P. Y., Kuijper, A. F. M., Kwakkel-van, E. R. P. J. M., Lanznaster, J., van der Linden, M. M. J. M., van der Lingen, A. C. J., Linssen, G. C. M., Lomas, D., Maarse, M., Magdelijns, F. J. H., Magro, M., Markart, P., Martens, F. M. A. C., Mazzilli, S. G., McCann, G. P., van der Meer, P., Meijs, M. F. L., Merle, U., Messiaen, P., Milovanovic, M., Monraats, P. S., Montagna, L., Moriarty, A., Moss, A. J., Mosterd, A., Nadalin, S., Nattermann, J., Neufang, M., Nierop, P. R., Offerhaus, J. A., Van Ofwegen-Hanekamp, C. E. E., Parker, E., Persoon, A. M., Piepel, C., Pinto, Y. M., Poorhosseini, H., Prasad, S., Raafs, A. G., Raichle, C., Rauschning, D., Redon, J., Reidinga, A. C., Ribeiro, M. I. A., Riedel, C., Rieg, S., Ripley, D. P., Rommele, C., Rothfuss, K., Ruddel, J., Ruthrich, M. M., Salah, R., Saneei, E., Saxena, M., Schellings, D. A. A. M., Scholte, N. T. B., Schubert, J., Seelig, J., Shafiee, A., Shore, A. C., Spinner, C., Stieglitz, S., Strauss, R., Sturkenboom, N. H., Tessitore, E., Thomson, R. J., Timmermans, P. J. R., Tio, R. A., Tjong, F. V. Y., Tometten, L., Trauth, J., Van Craenenbroeck, E. M., van Veen, H. P. A. A., den Uil, C. A., Vehreschild, M. J. G. T., Veldhuis, L., I, Veneman, T., Verschure, D. O., Voigt, I, Walter, L., vande Watering, D. J., de Vries, J. K., vande Wal, R. M. A., Westendorp, I. C. D., Westendorp, P. H. M., Westhoff, T., Weytjens, C., Wierda, E., Wille, K., de With, K., Worm, M., Woudstra, P., Wu, K. W., Zaal, R., Zaman, A. G., van der Zee, P. M., Zijlstra, L. E., Alling, T. E., Ahmed, R., Bayraktar-Verver, E. C. E., van Aken, K., Jimenes, Bermudez F. J., Biole, C. A., Den Boer-Penning, P., Bontje, M., Bos, M., Bosch, L., Broekman, M., Broeyer, F. J. F., de Bruijn, E. A. W., Bruinsma, S., Cardoso, N. M., Cosyns, B., Len, van Da D. H., Dekimpe, E., Domange, J., van Doorn, J. L., van DOorn, P., Dormal, F., Drost, I. M. J., Dunnink, A., van Eck, J. W. M., Elshinawy, K., Gevers, R. M. M., Gognieva, D. G., van der Graaf, M., Grangeon, S., Guclu, A., Habib, A., Haenen, N. A., Hamilton, K., Handgraaf, S., Heidbuchel, H., Hendriks-van Woerden, M., Hessels-Linnemeijer, B. M., Hosseini, K., Huisman, J., Jacobs, T. C., Jansen, S. E., Janssen, A., Jourdan, K., ten Kate, G. L., van Kempen, M. J., Kievit, C. M., Kleikers, P., Knufman, N., van der Kooi, S. E., Koole, B. A. S., Koole, M. A. C., Kui, K. K., Kuipers-Elferink, L., Lemoine, I, Lensink, E., van Marrewijk, V, Meijer, E. J., Melein, A. J., Mesitskaya, D. F., van Nes, C. P. M., Paris, F. M. A., Perrelli, M. G., Pieterse-Rots, A., Pisters, R., Polkerman, B. C., van Poppel, A., Reinders, S., Reitsma, M. J., Ruiter, A. H., Selder, J. L., van der Sluis, A., Sousa, A. I. C., Tajdini, M., Sanchez, Tercedor L., Van de Heyning, C. M., Vial, H., Vlieghe, E., Vonkeman, H. E., Vreugdenhil, P., de Vries, T. A. C., Willems, A. M., Wils, A. M., Zoet-Nugteren, S. K., Linschoten, M., Uijl, A., Schut, A., Jakob, C. E. M., Romao, L. R., Bell, R. M., McFarlane, E., Stecher, M., Zondag, A. G. M., van Iperen, E. P. A., Hermans-van Ast, J. F., Lea, N. C., Schaap, J., Jewbali, L. S., Smits, P. C., Patel, R. S., Aujayeb, A., van Smeden, M., Siebelink, H. J., Williams, S., Pilgram, L., Tieleman, R. G., Williams, B., Asselbergs, F. W., Al-Ali, A. K., Al-Muhanna, F. A., Al-Rubaish, A. M., Al-Windy, N. Y. Y., Alkhalil, M., Almubarak, Y. A., Al Nafie, A. N., Al Shahrani, M., Al Shehri, A. M., Anning, C., Anthonio, R. L., Badings, E. A., Ball, C., Van Beek, E. A., Ten Berg, J. M., Von Bergwelt-Baildon, M., Bianco, M., Blagova, O., V, Bleijendaal, H., Bor, W. L., Borgmann, S., van Boxem, A. J. M., van den Brink, F. S., Bucciarelli-Ducci, C., Van Bussel, B. C. T., Byrom-Goulthorp, R., Captur, G., Caputo, M., Charlotte, N., vom Dahl, J., Dark, P., De Sutter, J., Degenhardt, C., Delsing, C. E., Dolff, S., Dorman, H. G. R., Drost, J. T., Eberwein, L., Emans, M. E., Er, A. G., Ferreira, J. B., Forner, M. J., Friedrichs, A., Gabriel, L., Groenemeijer, B. E., Groenendijk, A. L., Gruener, B., Guggemos, W., Haerkens-Arends, H. E., Hanses, F., Hedayat, B., Heigener, D., van der Heijden, D. J., Hellou, E., Hellwig, K., Henkens, M. T. H. M., Hermanides, R. S., Hermans, W. R. M., van Hessen, M. W. J., Heymans, S. R. B., Hilt, A. D., van der Horst, I. C. C., Hower, M., van Ierssel, S. H., Isberner, N., Jensen, B., Kearney, M. T., Kielstein, J. T., Kietselaer, B. L. J. H., Kochanek, M., Kolk, M. Z. H., Koning, A. M. H., Kopylov, P. Y., Kuijper, A. F. M., Kwakkel-van, E. R. P. J. M., Lanznaster, J., van der Linden, M. M. J. M., van der Lingen, A. C. J., Linssen, G. C. M., Lomas, D., Maarse, M., Magdelijns, F. J. H., Magro, M., Markart, P., Martens, F. M. A. C., Mazzilli, S. G., McCann, G. P., van der Meer, P., Meijs, M. F. L., Merle, U., Messiaen, P., Milovanovic, M., Monraats, P. S., Montagna, L., Moriarty, A., Moss, A. J., Mosterd, A., Nadalin, S., Nattermann, J., Neufang, M., Nierop, P. R., Offerhaus, J. A., Van Ofwegen-Hanekamp, C. E. E., Parker, E., Persoon, A. M., Piepel, C., Pinto, Y. M., Poorhosseini, H., Prasad, S., Raafs, A. G., Raichle, C., Rauschning, D., Redon, J., Reidinga, A. C., Ribeiro, M. I. A., Riedel, C., Rieg, S., Ripley, D. P., Rommele, C., Rothfuss, K., Ruddel, J., Ruthrich, M. M., Salah, R., Saneei, E., Saxena, M., Schellings, D. A. A. M., Scholte, N. T. B., Schubert, J., Seelig, J., Shafiee, A., Shore, A. C., Spinner, C., Stieglitz, S., Strauss, R., Sturkenboom, N. H., Tessitore, E., Thomson, R. J., Timmermans, P. J. R., Tio, R. A., Tjong, F. V. Y., Tometten, L., Trauth, J., Van Craenenbroeck, E. M., van Veen, H. P. A. A., den Uil, C. A., Vehreschild, M. J. G. T., Veldhuis, L., I, Veneman, T., Verschure, D. O., Voigt, I, Walter, L., vande Watering, D. J., de Vries, J. K., vande Wal, R. M. A., Westendorp, I. C. D., Westendorp, P. H. M., Westhoff, T., Weytjens, C., Wierda, E., Wille, K., de With, K., Worm, M., Woudstra, P., Wu, K. W., Zaal, R., Zaman, A. G., van der Zee, P. M., Zijlstra, L. E., Alling, T. E., Ahmed, R., Bayraktar-Verver, E. C. E., van Aken, K., Jimenes, Bermudez F. J., Biole, C. A., Den Boer-Penning, P., Bontje, M., Bos, M., Bosch, L., Broekman, M., Broeyer, F. J. F., de Bruijn, E. A. W., Bruinsma, S., Cardoso, N. M., Cosyns, B., Len, van Da D. H., Dekimpe, E., Domange, J., van Doorn, J. L., van DOorn, P., Dormal, F., Drost, I. M. J., Dunnink, A., van Eck, J. W. M., Elshinawy, K., Gevers, R. M. M., Gognieva, D. G., van der Graaf, M., Grangeon, S., Guclu, A., Habib, A., Haenen, N. A., Hamilton, K., Handgraaf, S., Heidbuchel, H., Hendriks-van Woerden, M., Hessels-Linnemeijer, B. M., Hosseini, K., Huisman, J., Jacobs, T. C., Jansen, S. E., Janssen, A., Jourdan, K., ten Kate, G. L., van Kempen, M. J., Kievit, C. M., Kleikers, P., Knufman, N., van der Kooi, S. E., Koole, B. A. S., Koole, M. A. C., Kui, K. K., Kuipers-Elferink, L., Lemoine, I, Lensink, E., van Marrewijk, V, Meijer, E. J., Melein, A. J., Mesitskaya, D. F., van Nes, C. P. M., Paris, F. M. A., Perrelli, M. G., Pieterse-Rots, A., Pisters, R., Polkerman, B. C., van Poppel, A., Reinders, S., Reitsma, M. J., Ruiter, A. H., Selder, J. L., van der Sluis, A., Sousa, A. I. C., Tajdini, M., Sanchez, Tercedor L., Van de Heyning, C. M., Vial, H., Vlieghe, E., Vonkeman, H. E., Vreugdenhil, P., de Vries, T. A. C., Willems, A. M., Wils, A. M., and Zoet-Nugteren, S. K.
- Abstract
Aims Patients with cardiac disease are considered high risk for poor outcomes following hospitalization with COVID-19. The primary aim of this study was to evaluate heterogeneity in associations between various heart disease subtypes and in-hospital mortality. Methods and results We used data from the CAPACITY-COVID registry and LEOSS study. Multivariable Poisson regression models were fitted to assess the association between different types of pre-existing heart disease and in-hospital mortality. A total of 16 511 patients with COVID-19 were included (21.1% aged 66-75 years; 40.2% female) and 31.5% had a history of heart disease. Patients with heart disease were older, predominantly male, and often had other comorbid conditions when compared with those without. Mortality was higher in patients with cardiac disease (29.7%; n= 1545 vs. 15.9%; n= 1797). However, following multivariable adjustment, this difference was not significant [adjusted risk ratio (aRR) 1.08, 95% confidence interval (CI) 1.02-1.15; P = 0.12 (corrected for multiple testing)]. Associations with in-hospital mortality by heart disease subtypes differed considerably, with the strongest association for heart failure (aRR 1.19, 95% CI 1.10-1.30; P <0.018) particularly for severe (New York Heart Association class III/IV) heart failure (aRR 1.41, 95% CI 1.20-1.64; P < 0.018). None of the other heart disease subtypes, including ischaemic heart disease, remained significant after multivariable adjustment. Serious cardiac complications were diagnosed in <1% of patients. Conclusion Considerable heterogeneity exists in the strength of association between heart disease subtypes and in-hospital mortality. Of all patients with heart disease, those with heart failure are at greatest risk of death when hospitalized with COVID-19. Serious cardiac complications are rare during hospitalization. [GRAPHICS] .
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- 2022
13. Echocardiographic and Cardiac Magnetic Resonance Imaging-Derived Strains in Relation to Late Gadolinium Enhancement in Hypertrophic Cardiomyopathy
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Klettas, D. Georgiopoulos, G. Rizvi, Q. Oikonomou, D. Magkas, N. Bhuva, A.N. Manisty, C. Captur, G. Aimo, A. Nihoyannopoulos, P.
- Abstract
We compared speckle tracking echocardiography (STE) and feature tracking cardiovascular magnetic resonance (FT-CMR) in patients with hypertrophic cardiomyopathy (HC) with a varying extent of fibrosis as defined by late gadolinium enhancement to look at the level of agreement between methods and their ability to relate those to myocardial fibrosis. At 2 reference centers, 79 patients with HC and 16 volunteers (the control group) underwent STE and CMR with late gadolinium enhancement and FT-CMR. Patients were classified into 3 categories: no detectable, limited, and extensive fibrosis. Global longitudinal strain (GLS) and global radial strain (GRS) were derived using FT-CMR and STE. STE-derived GRS was decreased in all HC categories compared with the control group (p
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- 2022
14. Childhood bradycardia associates with atrioventricular conduction defects in older age: a longitudinal birth cohort study
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Topriceanu, C, primary, Moon, J C, additional, Hardy, R, additional, Hughes, A D, additional, and Captur, G, additional
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- 2021
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15. Prospective case-control study of cardiovascular abnormalities six months following mild COVID-19 in healthcare workers
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Joy, G, primary, Artico, J, additional, Kurdi, H, additional, Lau, C, additional, Adam, RD, additional, Menacho, KM, additional, Pierce, I, additional, Captur, G, additional, Davies, R, additional, Schelbert, EB, additional, Fontana, M, additional, Kellman, P, additional, Treibel, TA, additional, Manisty, C, additional, and Moon, JC, additional
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- 2021
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16. Interaction of stroke volume and myocardial phenotype in patients with severe aortic stenosis referred for intervention: outcome data from the BSCMR AS700 study
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Thornton, GD, primary, Musa, TA, additional, Rigolli, M, additional, Loudon, M, additional, Chin, C, additional, Pica, S, additional, Malley, T, additional, Foley, JRJ, additional, Vassiliou, VS, additional, Davies, RH, additional, Captur, G, additional, Dobson, LE, additional, Singh, A, additional, and Treibel, TA, additional
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- 2021
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17. AS-amyloidosis. Dual pathology or novel disease? A multimodality, multi-centre assessment across health and disease
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Patel, K, primary, Scully, P, additional, Nitsche, C, additional, Williams, S, additional, Tillin, T, additional, Captur, G, additional, Chako, L, additional, Newton, J, additional, Kennon, S, additional, Menezes, L, additional, Pugliese, F, additional, Fontana, M, additional, Treibel, TA, additional, Mascherbauer, J, additional, and Moon, JC, additional
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- 2021
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18. UK national and regional trends in cardiovascular magnetic resonance usage – the British Society of CMR survey results
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Keenan, N, primary, Captur, G, additional, McCann, G, additional, Berry, C, additional, Myerson, S, additional, Fairbairn, T, additional, Hudsmith, L, additional, O'Regan, D, additional, Westwood, M, additional, and Greenwood, J, additional
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- 2020
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19. Stratifying the prognostic capability of cardiovascular magnetic resonance in severe aortic stenosis: a machine learning approach
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Kwak, S, primary, Everett, R, additional, Ko, T, additional, Lee, H, additional, Lee, W, additional, Treibel, T, additional, Chin, C, additional, Captur, G, additional, Schulz-Menger, J, additional, Newby, D, additional, Greenwood, J, additional, Moon, J, additional, Dweck, M.R, additional, and Lee, S.P, additional
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- 2020
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20. Associations between life-course frailty and later-life heart size and function in the 1946 NSHD British birth cohort-an epidemiological study
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Topriceanu, C.C, primary, Moon, J.C, additional, Hardy, R, additional, Hughes, A.D, additional, Chaturvedi, N, additional, and Captur, G, additional
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- 2020
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21. P307 Trajectories of Myocardial Strain Across the Spectrum of Aortic Stenosis
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Alfuhied, A, primary, Alfarih, M, additional, Kumar M, P, additional, Captur, G, additional, and Nihoyannopoulos, P, additional
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- 2020
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22. 618 Adaptive myocardial mechanics in aortic stenosis patients
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Alfarih, M, primary, Alfuhied, A, additional, Kumar M, P, additional, Lloyd, G, additional, Hughes, A D, additional, Moon, J C, additional, Mohiddin, S, additional, Captur, G, additional, and Nihoyannopoulos, P, additional
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- 2020
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23. 623 Short-term reversed remodeling post aortic valve intervention
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Alfarih, M, primary, Alfuhied, A, additional, Lloyd, G, additional, Hughes, A D, additional, Moon, J C, additional, Mohiddin, S, additional, Captur, G, additional, and Nihoyannopoulos, P, additional
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- 2020
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24. A medical device-grade T1 and ECV phantom for global T1 mapping quality assurance - the T1 Mapping and ECV Standardization in cardiovascular magnetic resonance (T1MES) program
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Captur, G, Gatehouse, P, Keenan, K, Heslinga, F, Bruehl, R, Prothmann, M, Graves, M, Eames, R, Torlasco, C, Benedetti, G, Donovan, J, Ittermann, B, Boubertakh, R, Bathgate, A, Royet, C, Pang, W, Nezafat, R, Salerno, M, Kellman, P, Moon, J, Captur G., Gatehouse P., Keenan K. E., Heslinga F. G., Bruehl R., Prothmann M., Graves M. J., Eames R. J., Torlasco C., Benedetti G., Donovan J., Ittermann B., Boubertakh R., Bathgate A., Royet C., Pang W., Nezafat R., Salerno M., Kellman P., Moon J. C., Captur, G, Gatehouse, P, Keenan, K, Heslinga, F, Bruehl, R, Prothmann, M, Graves, M, Eames, R, Torlasco, C, Benedetti, G, Donovan, J, Ittermann, B, Boubertakh, R, Bathgate, A, Royet, C, Pang, W, Nezafat, R, Salerno, M, Kellman, P, Moon, J, Captur G., Gatehouse P., Keenan K. E., Heslinga F. G., Bruehl R., Prothmann M., Graves M. J., Eames R. J., Torlasco C., Benedetti G., Donovan J., Ittermann B., Boubertakh R., Bathgate A., Royet C., Pang W., Nezafat R., Salerno M., Kellman P., and Moon J. C.
- Abstract
Background: T1 mapping and extracellular volume (ECV) have the potential to guide patient care and serve as surrogate end-points in clinical trials, but measurements differ between cardiovascular magnetic resonance (CMR) scanners and pulse sequences. To help deliver T1 mapping to global clinical care, we developed a phantom-based quality assurance (QA) system for verification of measurement stability over time at individual sites, with further aims of generalization of results across sites, vendor systems, software versions and imaging sequences. We thus created T1MES: The T1 Mapping and ECV Standardization Program. Methods: A design collaboration consisting of a specialist MRI small-medium enterprise, clinicians, physicists and national metrology institutes was formed. A phantom was designed covering clinically relevant ranges of T1 and T2 in blood and myocardium, pre and post-contrast, for 1.5 T and 3 T. Reproducible mass manufacture was established. The device received regulatory clearance by the Food and Drug Administration (FDA) and Conformité Européene (CE) marking. Results: The T1MES phantom is an agarose gel-based phantom using nickel chloride as the paramagnetic relaxation modifier. It was reproducibly specified and mass-produced with a rigorously repeatable process. Each phantom contains nine differently-doped agarose gel tubes embedded in a gel/beads matrix. Phantoms were free of air bubbles and susceptibility artifacts at both field strengths and T1 maps were free from off-resonance artifacts. The incorporation of high-density polyethylene beads in the main gel fill was effective at flattening the B 1 field. T1 and T2 values measured in T1MES showed coefficients of variation of 1 % or less between repeat scans indicating good short-term reproducibility. Temperature dependency experiments confirmed that over the range 15-30 °C the short-T1 tubes were more stable with temperature than the long-T1 tubes. A batch of 69 phantoms was mass-produced with random
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- 2016
25. Myocardial native T1 and extracellular volume with healthy ageing and gender
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Rosmini, S, Bulluck, H, Captur, G, Treibel, T, Abdel-Gadir, A, Bhuva, A, Culotta, V, Merghani, A, Fontana, M, Maestrini, V, Herrey, A, Chow, K, Thompson, R, Piechnik, S, Kellman, P, Manisty, C, and Moon, J
- Subjects
Adult ,Male ,Aging ,Myocardial Infarction ,Contrast Media ,Magnetic Resonance Imaging, Cine ,Healthy Aging ,age ,extracellular volume ,gender ,healthy volunteers ,myocardial T1 ,T1 mapping ,radiology, nuclear medicine and imaging ,cardiology and cardiovascular medicine ,Sex Factors ,Predictive Value of Tests ,Image Interpretation, Computer-Assisted ,Confidence Intervals ,Humans ,Phantoms, Imaging ,Myocardium ,Body Surface Potential Mapping ,Heart ,Original Articles ,Middle Aged ,Editor's Choice ,Female - Abstract
Aims To determine how native myocardial T1 and extracellular volume (ECV) change with age, both to understand aging and to inform on normal reference ranges. Methods and results Ninety-four healthy volunteers with no a history or symptoms of cardiovascular disease or diabetes underwent cardiovascular magnetic resonance at 1.5 T. Mid-ventricular short axis native and post-contrast T1 maps by Shortened MOdified Look-Locker Inversion-recovery (ShMOLLI), MOdified Look-Locker Inversion Recovery (MOLLI) [pre-contrast: 5s(3s)3s, post-contrast: 4s(1s)3s(1s)2s] and saturation recovery single-shot acquisition (SASHA) were acquired and ECV by these three techniques were derived for the mid anteroseptum. Mean age was 50 ± 14 years (range 20-76), male 52%, with no age difference between genders (males 51 ± 14 years; females 49 ± 15 years, P = 0.55). Quoting respectively ShMOLLI, MOLLI, SASHA throughout, mean myocardial T1 was 957 ± 30 ms, 1025 ± 38 ms, 1144 ± 45 ms (P Conclusion Gender influences native T1 and ECV with women having a higher native T1 and ECV. Native T1 measured by MOLLI and ShMOLLI was slightly lower with increasing age but not with SASHA and ECV was independent of age for all techniques.
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- 2018
26. 1337Myocardial extracellular volume in patients with aortic stenosis undergoing valve intervention - A multicentre T1 mapping study
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Everett, R, primary, Treibel, T, additional, Fukui, M, additional, Lee, H, additional, Rigolli, M, additional, Singh, A, additional, Tastet, L, additional, Musa, T A, additional, Chin, C, additional, Om, S Y, additional, Captur, G, additional, Funk, S, additional, Clavel, M A, additional, Cavalcante, J, additional, and Dweck, M R, additional
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- 2019
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27. P909Echocardiographic Assessment of Left Ventricular Function in Patients with Aortic Stenosis and the short-term effects after intervention
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Alfarih, M, primary, Leu, C, additional, Moon, J, additional, Hughes, A, additional, Nihoyannopoulos, P, additional, and Captur, G, additional
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- 2019
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28. 480Right ventricular dysfunction is associated with late mortality in severe aortic stenosis: results from a multi-centre outcome study in patients undergoing aortic valve replacement
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Rigolli, M, primary, Musa, T A, additional, Treibel, T A, additional, Loudon, M, additional, Vassiliou, V S, additional, Captur, G, additional, Singh, A, additional, Chin, C, additional, Dobson, L E, additional, Pica, S, additional, Malley, T, additional, Foley, J R J, additional, Bijsterveld, P, additional, Law, G R, additional, and Myerson, S G, additional
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- 2019
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29. 515Right ventricular dysfunction detected by cardiovascular magnetic resonance is associated with late mortality in severe aortic stenosis
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Rigolli, M, primary, Musa, T A, additional, Treibel, T A, additional, Loudon, M, additional, Vassiliou, V S, additional, Captur, G, additional, Singh, A, additional, Chin, C, additional, Bijsterveld, P, additional, Dobson, L E, additional, Pica, S, additional, Malley, T, additional, Foley, J R J, additional, Law, G R, additional, and Myerson, S G, additional
- Published
- 2019
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30. 27A medical device grade T2 phantom to quality control inflammation imaging by CMR
- Author
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Seo, H S, primary, Captur, G, additional, Ittermann, B, additional, Pang, W, additional, Keenan, K, additional, Kellman, P, additional, Nezafat, R, additional, Chaturvedi, N, additional, Hughes, A, additional, and Moon, J C, additional
- Published
- 2019
- Full Text
- View/download PDF
31. P618Using systolic SAPPHIRE to optimise T1 mapping for thin-walled hearts and arrhythmia
- Author
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Knott, K, primary, Alfarih, M, additional, Augusto, J B, additional, Boubertakh, R, additional, Chaturvedi, N, additional, Hughes, A D, additional, Moon, J C, additional, Weingartner, S, additional, and Captur, G, additional
- Published
- 2019
- Full Text
- View/download PDF
32. 250Myocardial extracellular volume in patients with aortic stenosis undergoing valve intervention: a multicentre T1 mapping study
- Author
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Everett, R, primary, Treibel, T, additional, Fukui, M, additional, Lee, H, additional, Rigolli, M, additional, Singh, A, additional, Bijsterveld, P, additional, Tastet, L, additional, Musa, T A, additional, Chin, C, additional, Captur, G, additional, Funk, S, additional, Clavel, M A, additional, Cavalcante, J, additional, and Dweck, M, additional
- Published
- 2019
- Full Text
- View/download PDF
33. 247Characterisation of pleural and pericardial effusions with T1 mapping
- Author
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Rosmini, S, primary, Seraphim, A, additional, Captur, G, additional, Gomes, A C, additional, Zemrak, F, additional, Treibel, T A, additional, Cash, L, additional, Culotta, V, additional, O"mahony, C, additional, Kellman, P, additional, Moon, J C, additional, and Manisty, C, additional
- Published
- 2019
- Full Text
- View/download PDF
34. P94The lord of the rings
- Author
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Radenkovic, D, primary, Captur, G, additional, Perry, E, additional, and Moon, J C, additional
- Published
- 2019
- Full Text
- View/download PDF
35. 325Arrhythmogenic left ventricular cardiomyopathy and dilated cardiomyopathy: genotype-phenotype correlations
- Author
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Bicho Augusto, J A, primary, Eiros, R, additional, Nakou, E, additional, Moura-Ferreira, S, additional, Treibel, T, additional, Captur, G, additional, Akhtar, M M, additional, Protonotarios, A, additional, Gossios, T D, additional, Savvatis, K, additional, Syrris, P, additional, Mohiddin, S, additional, Moon, J C, additional, Elliott, P M, additional, and Lopes, L R, additional
- Published
- 2019
- Full Text
- View/download PDF
36. P415Dark-Blood T1 SAPPHIRE mapping gives cleaner myocardial signal at both 1.5T and 3T
- Author
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Bicho Augusto, J A, primary, Alfarih, M, additional, Knott, K, additional, Radenkovic, D, additional, Chaturvedi, N, additional, Hughes, A D, additional, Boubertakh, R, additional, Moon, J C, additional, Weingartner, S, additional, and Captur, G, additional
- Published
- 2019
- Full Text
- View/download PDF
37. 267Myocardial perfusion defects in genotype-positive hypertrophic cardiomyopathy without left ventricular hypertrophy
- Author
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Hughes, R K, primary, Camaioni, C, additional, Knott, K D, additional, Quinn, E, additional, Captur, G, additional, Syrris, P, additional, Kellman, P, additional, Elliott, P M, additional, Mohiddin, S, additional, Xue, H, additional, Lopes, L, additional, and Moon, J, additional
- Published
- 2019
- Full Text
- View/download PDF
38. P650Exercise-induced left ventricular trabeculation: real entity or fake news?
- Author
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D'Silva, A, primary, Bhuva, A N, additional, Jones, S, additional, Van Zalen, J, additional, Bastiaenen, R, additional, Captur, G, additional, Gati, S, additional, Willis, J, additional, Liu, S, additional, Hughes, A, additional, Sharma, R, additional, Mainstay, C, additional, Lloyd, G, additional, Moon, J C, additional, and Sharma, S, additional
- Published
- 2018
- Full Text
- View/download PDF
39. P3431A comparison of phenotypes of left-dominant arrhythmogenic cardiomyopathy and dilated cardiomyopathy
- Author
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Bicho Augusto, J A, primary, Eiros, R, additional, Treibel, T, additional, Captur, G, additional, Akhtar, M, additional, Protonotarios, A, additional, Gkosios, T, additional, Savvatis, K, additional, Mohiddin, S, additional, Moon, J, additional, Elliott, P, additional, and Lopes, L, additional
- Published
- 2018
- Full Text
- View/download PDF
40. The risk of cardiac failure following metal-on-metal hip arthroplasty
- Author
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Sabah, S. A., primary, Moon, J. C., additional, Jenkins-Jones, S., additional, Morgan, C. Ll., additional, Currie, C. J., additional, Wilkinson, J. M., additional, Porter, M., additional, Captur, G., additional, Henckel, J., additional, Chaturvedi, N., additional, Kay, P., additional, Skinner, J. A., additional, Hart, A. H., additional, and Manisty, C., additional
- Published
- 2018
- Full Text
- View/download PDF
41. Disease Insight Using Papillary Muscles: A Cardiovascular Magnetic Resonance Study
- Author
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Kozor, R., primary, Nodrin, S., additional, Treibel, T., additional, Rosmini, S., additional, Castelletti, S., additional, Fontana, M., additional, Captur, G., additional, Hughes, D., additional, Manisty, C., additional, Grieve, S., additional, Figtree, G., additional, and Moon, J., additional
- Published
- 2016
- Full Text
- View/download PDF
42. T1 mapping and survival in systemic light-chain amyloidosis
- Author
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Banypersad, S. M., primary, Fontana, M., additional, Maestrini, V., additional, Sado, D. M., additional, Captur, G., additional, Petrie, A., additional, Piechnik, S. K., additional, Whelan, C. J., additional, Herrey, A. S., additional, Gillmore, J. D., additional, Lachmann, H. J., additional, Wechalekar, A. D., additional, Hawkins, P. N., additional, and Moon, J. C., additional
- Published
- 2014
- Full Text
- View/download PDF
43. These abstracts have been selected for presentation in 4 sessions throughout the meeting. Please refer to the PROGRAM for more details.
- Author
-
Munch, F., primary, Retel, J., additional, Jeuthe, S., additional, van Rossum, B., additional, Oh-Ici, D., additional, Berger, F., additional, Kuhne, T., additional, Oschkinat, H., additional, Messroghli, D., additional, Rodriguez Palomares, J., additional, Gutierrez Garcia Moreno, L., additional, Maldonado, G., additional, Garcia, G., additional, Otaegui, I., additional, Garcia Del Blanco, B., additional, Barrabes, J., additional, Gonzalez Alujas, M., additional, Evangelista, A., additional, Garcia Dorado, D., additional, Barison, A., additional, Del Torto, A., additional, Chiappino, S., additional, Del Franco, A., additional, Pugliese, N., additional, Aquaro, G., additional, Positano, V., additional, Passino, C., additional, Emdin, M., additional, Masci, P., additional, Fischer, K., additional, Guensch, D., additional, Shie, N., additional, Friedrich, M., additional, Captur, G., additional, Zemrak, F., additional, Muthurangu, V., additional, Chunming, L., additional, Petersen, S., additional, Kawel-Boehm, N., additional, Bassett, P., additional, Elliott, P., additional, Lima, J., additional, Bluemke, D., additional, Moon, J., additional, Pontone, G., additional, Bertella, E., additional, Loguercio, M., additional, Baggiano, A., additional, Mushtaq, S., additional, Salerni, S., additional, Rossi, C., additional, Andreini, D., additional, Ucar, E., additional, Baydes, R., additional, Ngah, N., additional, Kuo, Y., additional, Dabir, D., additional, Cummins, C., additional, Higgins, D., additional, Schaeffter, T., additional, Gaddum, N., additional, Chowienczyk, P., additional, Carr-White, G., additional, Marber, M., additional, Ucar, S., additional, Reinstadler, S., additional, Klug, G., additional, Feistritzer, H., additional, Greber, K., additional, Mair, J., additional, Schocke, M., additional, Franz, W., additional, Metzler, B., additional, Moschetti, K., additional, Pilz, G., additional, Wasserfallen, J., additional, Lombardi, M., additional, Korosoglou, G., additional, Van Rossum, A., additional, Bruder, O., additional, Mahrholdt, H., additional, Schwitter, J., additional, Ferreira Gonzalez, I., additional, Pineda, V., additional, Ruiz Salmeron, R., additional, San Roman, A., additional, Fernandez Aviles, F., additional, Winkler, S., additional, Allison, T., additional, Conn, H., additional, Bandettini, P., additional, Shanbhag, S., additional, Kellman, P., additional, Hsu, L., additional, Arai, A., additional, Pernter, B., additional, Pica, S., additional, Sado, D., additional, Maestrini, V., additional, Fontana, M., additional, White, S., additional, Treibel, T., additional, Anderson, S., additional, Piechnik, S., additional, Robson, M., additional, Lachmann, R., additional, Murphy, E., additional, Mehta, A., additional, Hughes, D., additional, Ferreira, V., additional, Dall'Armellina, E., additional, Karamitsos, T., additional, Francis, J., additional, Choudhury, R., additional, Banning, A., additional, Channon, K., additional, Kharbanda, R., additional, Forfar, C., additional, Ormerod, O., additional, Prendergast, B., additional, Kardos, A., additional, Newton, J., additional, Neubauer, S., additional, Vergaro, G., additional, Mirizzi, G., additional, Florian, A., additional, Ludwig, A., additional, Rosch, S., additional, Sechtem, U., additional, Yilmaz, A., additional, Greulich, S., additional, Kitterer, D., additional, Latus, J., additional, Bentz, K., additional, Birkmeier, S., additional, Alscher, M., additional, Braun, N., additional, Perfetto, F., additional, Secchi, F., additional, Petrini, M., additional, Cannao, P., additional, Di Leo, G., additional, Sardanelli, F., additional, Yoshihara, H., additional, Bastiaansen, J., additional, Berthonneche, C., additional, Comment, A., additional, Gerber, B., additional, Noppe, G., additional, Marquet, N., additional, Buchlin, P., additional, Vanoverschelde, J., additional, Bertrand, L., additional, Horman, S., additional, Dorota, P., additional, Piotr, W., additional, Marek, G., additional, Almeida, A., additional, Cortez-Dias, N., additional, de Sousa, J., additional, Carpinteiro, L., additional, Magalhaes, A., additional, Silva, G., additional, Bernardes, A., additional, Pinto, F., additional, and Nunes Diogo, A., additional
- Published
- 2014
- Full Text
- View/download PDF
44. 1082From Tuscan Trabeculae to Florentine Fractals – A Novel Approach to Quantification by CMR
- Author
-
Captur, G, primary, Muthurangu, V, additional, Flett, AS, additional, Wilson, R, additional, Barison, A, additional, Anderson, S, additional, Cook, C, additional, Sado, DM, additional, McKenna, WJ, additional, Mohun, TJ, additional, Elliott, PM, additional, and Moon, JC, additional
- Published
- 2013
- Full Text
- View/download PDF
45. P94 The lord of the rings.
- Author
-
Radenkovic, D, Captur, G, Perry, E, and Moon, J C
- Subjects
CHEST pain ,CONFERENCES & conventions ,DIAGNOSTIC imaging ,ELECTROCARDIOGRAPHY ,LEFT heart ventricle ,RIGHT heart ventricle ,MAGNETIC resonance imaging - Published
- 2019
- Full Text
- View/download PDF
46. P618 Using systolic SAPPHIRE to optimise T1 mapping for thin-walled hearts and arrhythmia.
- Author
-
Knott, K, Alfarih, M, Augusto, J B, Boubertakh, R, Chaturvedi, N, Hughes, A D, Moon, J C, Weingartner, S, and Captur, G
- Subjects
ARRHYTHMIA diagnosis ,CONFERENCES & conventions ,MAGNETIC resonance imaging ,MYOCARDIUM - Published
- 2019
- Full Text
- View/download PDF
47. P415 Dark-Blood T1 SAPPHIRE mapping gives cleaner myocardial signal at both 1.5T and 3T.
- Author
-
Augusto, J A Bicho, Alfarih, M, Knott, K, Radenkovic, D, Chaturvedi, N, Hughes, A D, Boubertakh, R, Moon, J C, Weingartner, S, and Captur, G
- Subjects
MAGNETIC resonance imaging equipment ,CONFERENCES & conventions ,DIAGNOSTIC imaging ,MAGNETIC resonance imaging ,COMPUTERS in medicine - Published
- 2019
- Full Text
- View/download PDF
48. 515 Right ventricular dysfunction detected by cardiovascular magnetic resonance is associated with late mortality in severe aortic stenosis.
- Author
-
Rigolli, M, Musa, T A, Treibel, T A, Loudon, M, Vassiliou, V S, Captur, G, Singh, A, Chin, C, Bijsterveld, P, Dobson, L E, Pica, S, Malley, T, Foley, J R J, Law, G R, and Myerson, S G
- Subjects
HEART ventricle diseases ,AORTIC stenosis ,CONFERENCES & conventions ,RIGHT heart ventricle ,MAGNETIC resonance imaging - Published
- 2019
- Full Text
- View/download PDF
49. 325 Arrhythmogenic left ventricular cardiomyopathy and dilated cardiomyopathy: genotype-phenotype correlations.
- Author
-
Augusto, J A Bicho, Eiros, R, Nakou, E, Moura-Ferreira, S, Treibel, T, Captur, G, Akhtar, M M, Protonotarios, A, Gossios, T D, Savvatis, K, Syrris, P, Mohiddin, S, Moon, J C, Elliott, P M, and Lopes, L R
- Subjects
CONFERENCES & conventions ,LEFT heart ventricle ,CARDIOMYOPATHIES ,PHENOTYPES ,GENOTYPES - Published
- 2019
- Full Text
- View/download PDF
50. 27 A medical device grade T2 phantom to quality control inflammation imaging by CMR.
- Author
-
Seo, H S, Captur, G, Ittermann, B, Pang, W, Keenan, K, Kellman, P, Nezafat, R, Chaturvedi, N, Hughes, A, and Moon, J C
- Subjects
CONFERENCES & conventions ,INFLAMMATION ,MAGNETIC resonance imaging ,IMAGING phantoms ,QUALITY assurance - Published
- 2019
- Full Text
- View/download PDF
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