The DOI matches its Crossref record.
Standardized Myocardial Segmentation and Nomenclature for Tomographic Imaging of the Heart: A Statement for Healthcare Professionals From the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association
Abstract
Nuclear cardiology, echocardiography, cardiovascular magnetic resonance (CMR), cardiac computed tomography (CT), positron emission computed tomography (PET), and coronary angiography are imaging modalities that have been used to measure myocardial perfusion, left ventricular function, and coronary anatomy for clinical management and research. Although there are technical differences between these modalities, all of them image the myocardium and the adjacent cavity. However, the orientation of the heart, angle selection for cardiac planes, number of segments, slice display and thickness, nomenclature for segments, and assignment of segments to coronary arterial territories have evolved independently within each field. This evolution has been based on the inherent strengths and weaknesses of the technique and the practical clinical application of these modalities as they are used for patient management. This independent evolution has resulted in a lack of standardization and has made accurate intra- and cross-modality comparisons for clinical patient management and research very difficult, if not, at times, impossible. Attempts to standardize these options for all cardiac imaging modalities should be based on the sound principles that have evolved from cardiac anatomy and clinical needs.1–3⇓⇓ Selection of standardized methods must be based on the following criteria: An earlier special report from the American Heart Association, American College of Cardiology, and Society of Nuclear Medicine4 defined standards for plane selection and display orientation for serial …
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Lang, R. M., Badano, L. P., Mor-Avi, V., Afilalo, J., Armstrong, A., Ernande, L., Flachskampf, F. A., Foster, E., Goldstein, S. A., Kuznetsova, T., et al. (2015) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2014.10.003 · Cited by 12,362
Lang, R. M., Bierig, M., Devereux, R. B., Flachskampf, F. A., Foster, E., Pellikka, P. A., Picard, M. H., Roman, M. J., Seward, J., Shanewise, J. S., et al. (2005) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2005.10.005 · Cited by 11,318
2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes
Knuuti, J., Wijns, W., Saraste, A., Capodanno, D., Barbato, E., Funck-Brentano, C., Prescott, E., Storey, R. F., Deaton, C., Cuisset, T., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehz425 · Cited by 7,166
2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy
Authors/Task Force members, Elliott, P. M., Anastasakis, A., Borger, M. A., Borggrefe, M., Cecchi, F., Charron, P., Hagege, A. A., Lafont, A., Limongelli, G., et al. (2014) · European Heart Journal · doi:10.1093/eurheartj/ehu284 · Cited by 4,332
Chan, R. H., Maron, B. J., Olivotto, I., Pencina, M. J., Assenza, G. E., Haas, T., Lesser, J. R., Gruner, C., Crean, A. M., Rakowski, H., et al. (2014) · Circulation · doi:10.1161/circulationaha.113.007094 · Cited by 962
Impact of Myocardial Fibrosis in Patients With Symptomatic Severe Aortic Stenosis
Weidemann, F., Herrmann, S., Störk, S., Niemann, M., Frantz, S., Lange, V., Beer, M., Gattenlöhner, S., Voelker, W., Ertl, G., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.847772 · Cited by 706
A wearable cardiac ultrasound imager
Hu, H., Huang, H., Li, M., Gao, X., Yin, L., Qi, R., Wu, R. S., Chen, X., Ma, Y., Shi, K., et al. (2023) · Nature · doi:10.1038/s41586-022-05498-z · Cited by 644
Fragmented Wide QRS on a 12-Lead ECG: A Sign of Myocardial Scar and Poor Prognosis
Das, M. K., Suradi, H., Maskoun, W., Michael, M. A., Shen, C., Peng, J., Dandamudi, G., & Mahenthiran, J. (2008) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.107.763284 · Cited by 362
A cardiac contouring atlas for radiotherapy
Duane, F., Aznar, M. C., Bartlett, F., Cutter, D. J., Darby, S. C., Jagsi, R., Lorenzen, E. L., McArdle, O., McGale, P., Myerson, S., et al. (2017) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2017.01.008 · Cited by 308
Diverse patterns of myocardial fibrosis in lifelong, veteran endurance athletes
Wilson, M., O'Hanlon, R., Prasad, S., Deighan, A., MacMillan, P., Oxborough, D., Godfrey, R., Smith, G., Maceira, A., Sharma, S., et al. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01280.2010 · Cited by 298
Bai, W., Shi, W., de Marvao, A., Dawes, T. J. W., O’Regan, D. P., Cook, S. A., & Rueckert, D. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.08.009 · Cited by 171
(2004) · PubMed · Cited by 146
Hendel, R. C., Bateman, T. M., Cerqueira, M. D., Iskandrian, A. E., Leppo, J. A., Blackburn, B., & Mahmarian, J. J. (2005) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2005.05.097 · Cited by 128
Self-citationStatistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge
Suinesiaputra, A., Dhooge, J., Duchateau, N., Ehrhardt, J., Frangi, A. F., Gooya, A., Grau, V., Lekadir, K., Lu, A., Mukhopadhyay, A., et al. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2652449 · Cited by 95
Weir, R. A. P., Murphy, C. A., Petrie, C. J., Martin, T. N., Balmain, S., Clements, S., Steedman, T., Wagner, G. S., Dargie, H. J., & McMurray, J. J. V. (2010) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.109.897439 · Cited by 86
Sabharwal, N. K., & Lahiri, A. (2003) · Heart · doi:10.1136/heart.89.11.1291 · Cited by 72
Jung, B., Odening, K. E., Dall'Armellina, E., Föll, D., Menza, M., Markl, M., & Schneider, J. E. (2012) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/1532-429x-14-87 · Cited by 44
Tejani, F. H., Thompson, R. C., Kristy, R., & Bukofzer, S. (2014) · The International Journal of Cardiovascular Imaging · doi:10.1007/s10554-014-0419-7 · Cited by 37
de Luna, A. B., Cino, J., Goldwasser, D., Kotzeva, A., Elosua, R., Carreras, F., Pujadas, S., Garcia-Moll, X., Santaló, M., Fiol, M., et al. (2008) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2007.10.002 · Cited by 33
Park, J.-W., Shin, E.-S., Ann, S. H., Gödde, M., Park, L. S.-I., Brachmann, J., Vidal-Lopez, S., Wierzbinski, J., Lam, Y.-Y., & Jung, F. (2015) · Clinical Hemorheology and Microcirculation · doi:10.3233/ch-141912 · Cited by 29
Cardiac Magnetic Resonance Imaging for the Evaluation of Ventricular Function
Sarwar, A., Shapiro, M. D., Abbara, S., & Cury, R. C. (2008) · Seminars in Roentgenology · doi:10.1053/j.ro.2008.02.004 · Cited by 26
Turgut, Ö., Müller, P., Hager, P., Shit, S., Starck, S., Menten, M. J., Martens, E., & Rueckert, D. (2025) · Medical Image Analysis · doi:10.1016/j.media.2024.103451 · Cited by 22
Chen, W. J. Y., Danad, I., Raijmakers, P. G., Halbmeijer, R., Harms, H. J., Lammertsma, A. A., van Rossum, A. C., Diamant, M., & Knaapen, P. (2014) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2013.09.022 · Cited by 21
Dekker, M., Waissi, F., Bank, I. E. M., Lessmann, N., Išgum, I., Velthuis, B. K., Scholtens, A. M., Leenders, G. E., Pasterkamp, G., de Kleijn, D. P. V., et al. (2020) · IJC Heart & Vasculature · doi:10.1016/j.ijcha.2019.100434 · Cited by 20
Malmberg, M., Parkka, J., Vahasilta, T., Saraste, A., Laitio, T., Kiss, J., Latva-Hirvela, J., Saukko, P., & Savunen, T. (2011) · European Surgical Research · doi:10.1159/000321875 · Cited by 14
Tao, R., Zhang, S., Zhang, R., Shen, C., Ma, J., Cui, J., Chen, Y., Wang, B., Li, H., Xie, X., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-90615-x · Cited by 14
EchoNarrator: Generating natural text explanations for ejection fraction predictions
Thomas, S., Cao, Q., Novikova, A., Kulikova, D., & Ben-Yosef, G. (2024) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-72083-3_59 · Cited by 3
Metadata
- Authors
- American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging:, Cerqueira, M. D., Weissman, N. J., Dilsizian, V., Jacobs, A. K., Kaul, S., Laskey, W. K., Pennell, D. J., Rumberger, J. A., Ryan, T., & Verani, M. S.
- Venue
- Circulation
- Published
- 2002-01-29
- Volume
- 105
- Issue
- 4
- Pages
- 539-542
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2132401137
- Cited by
- 6,990
- References
- 0
- FWCI
- 84.69
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.