The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Cardiovascular magnetic resonance measurement of myocardial extracellular volume in health and disease
Open accessAbstract
Objective: To measure and assess the significance of myocardial extracellular volume (ECV), determined non-invasively by equilibrium contrast cardiovascular magnetic resonance, as a clinical biomarker in health and a number of cardiac diseases of varying pathophysiology. Design: Prospective study. Setting: Tertiary referral cardiology centre in London, UK. Patients: 192 patients were mainly recruited from specialist clinics. We studied patients with Anderson–Fabry disease (AFD, n=17), dilated cardiomyopathy (DCM, n=31), hypertrophic cardiomyopathy (HCM, n=31), severe aortic stenosis (AS, n=66), cardiac AL amyloidosis (n=27) and myocardial infarction (MI, n=20). The results were compared with those for 81 normal subjects. Results: In normal subjects, ECV (mean (95% CI), measured in the septum) was slightly higher in women than men (0.273 (0.264 to 0.282 vs 0.233 (0.225 to 0.244), p<0.001), with no change with age. In disease, the ECV of AFD was the same as in normal subjects but higher in all other diseases (p<0.001). Mean ECV was the same in DCM, HCM and AS (0.280, 0.291, 0.276 respectively), but higher in cardiac AL amyloidosis and higher again in MI (0.466 and 0.585 respectively, each p<0.001). Where ECV was elevated, correlations were found with indexed left ventricular mass, end systolic volume, ejection fraction and left atrial area in apparent disease-specific patterns. Conclusions: Myocardial ECV, assessed non-invasively in the septum with equilibrium contrast cardiovascular magnetic resonance, shows gender differences in normal individuals and disease-specific variability. Therefore, ECV shows early potential to be a useful biomarker in health and disease.
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Cellular and molecular mechanisms of fibrosis
Wynn, T. (2008) · The Journal of Pathology · doi:10.1002/path.2277 · Cited by 4,495
Kim, R. J., Wu, E., Rafael, A., Chen, E.-L., Parker, M. A., Simonetti, O., Klocke, F. J., Bonow, R. O., & Judd, R. M. (2000) · New England Journal of Medicine · doi:10.1056/nejm200011163432003 · Cited by 3,306
Elliott, P., Andersson, B., Arbustini, E., Bilinska, Z., Cecchi, F., Charron, P., Dubourg, O., Kuhl, U., Maisch, B., McKenna, W. J., et al. (2007) · European Heart Journal · doi:10.1093/eurheartj/ehm342 · Cited by 3,010
Self-citationDispenzieri, A., Gertz, M. A., Kyle, R. A., Lacy, M. Q., Burritt, M. F., Therneau, T. M., Greipp, P. R., Witzig, T. E., Lust, J. A., Rajkumar, S. V., et al. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.03.029 · Cited by 985
Assessment of Myocardial Fibrosis With Cardiovascular Magnetic Resonance
Mewton, N., Liu, C. Y., Croisille, P., Bluemke, D., & Lima, J. A. C. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.11.013 · Cited by 984
Flett, A. S., Hayward, M. P., Ashworth, M. T., Hansen, M. S., Taylor, A. M., Elliott, P. M., McGregor, C., & Moon, J. C. (2010) · Circulation · doi:10.1161/circulationaha.109.930636 · Cited by 915
Self-citationCardiomyopathy of the aging human heart. Myocyte loss and reactive cellular hypertrophy.
Olivetti, G., Melissari, M., Capasso, J. M., & Anversa, P. (1991) · Circulation Research · doi:10.1161/01.res.68.6.1560 · Cited by 774
Insights From the NHLBI-Sponsored Women’s Ischemia Syndrome Evaluation (WISE) Study
Shaw, L. J., Bairey Merz, C. N., Pepine, C. J., Reis, S. E., Bittner, V., Kelsey, S. F., Olson, M., Johnson, B. D., Mankad, S., Sharaf, B. L., et al. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2005.01.072 · Cited by 721
Piechnik, S. K., Ferreira, V. M., Dall'Armellina, E., Cochlin, L. E., Greiser, A., Neubauer, S., & Robson, M. D. (2010) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/1532-429x-12-69 · Cited by 670
Ugander, M., Oki, A. J., Hsu, L.-Y., Kellman, P., Greiser, A., Aletras, A. H., Sibley, C. T., Chen, M. Y., Bandettini, W. P., & Arai, A. E. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehr481 · Cited by 576
Cited by
Liu, C.-Y., Liu, Y.-C., Wu, C., Armstrong, A., Volpe, G. J., van der Geest, R. J., Liu, Y., Hundley, W. G., Gomes, A. S., Liu, S., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.05.078 · Cited by 349
Cardiac abnormalities in patients with Hutchinson-Gilford progeria syndrome
Prakash, A., Gordon, L. B., Kleinman, M. E., Gurary, E. B., Massaro, J., D’Agostino, R., Kieran, M. W., Gerhard-Herman, M., & Smoot, L. (2018) · JAMA Cardiology · doi:10.1001/jamacardio.2017.5235 · Cited by 98
How to Image Hypertrophic Cardiomyopathy
Maron, M. S., Rowin, E. J., & Maron, B. J. (2017) · Circulation: Cardiovascular Imaging · doi:10.1161/circimaging.116.005372 · Cited by 70
Pujadas, S., Doñate, M., Li, C.-H., Merchan, S., Cabanillas, A., Alomar, X., Pons-Llado, G., Serra-Grima, R., & Carreras, F. (2018) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2018-000422 · Cited by 29
Metadata
- Authors
- Sado, D. M., Flett, A. S., Banypersad, S. M., White, S. K., Maestrini, V., Quarta, G., Lachmann, R. H., Murphy, E., Mehta, A., Hughes, D. A., McKenna, W. J., Taylor, A. M., Hausenloy, D. J., Hawkins, P. N., Elliott, P. M., & Moon, J. C.
- Venue
- Heart
- Publisher
- BMJ
- Published
- 2012-08-30
- Volume
- 98
- Issue
- 19
- Pages
- 1436-1441
- ISSN
- 1355-6037 (ISSN-L)
- 1468-201X
- OpenAlex
- W2122244728
- Cited by
- 357
- References
- 31
- FWCI
- 20.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sado, D. M., Flett, A. S., Banypersad, S. M., White, S. K., Maestrini, V., Quarta, G., Lachmann, R. H., Murphy, E., Mehta, A., Hughes, D. A., McKenna, W. J., Taylor, A. M., Hausenloy, D. J., Hawkins, P. N., Elliott, P. M., & Moon, J. C. (2012). Cardiovascular magnetic resonance measurement of myocardial extracellular volume in health and disease. Heart. https://doi.org/10.1136/heartjnl-2012-302346
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