Assessing the need for nuclear cardiology and other advanced cardiac imaging modalities in the developing world
Abstract
Background In 2005, 80% of cardiovascular disease (CVD) deaths occurred in low- to middle-income countries (i.e., developing nations). Cardiovascular imaging, such as myocardial perfusion SPECT, is one method that may be applied to detect and foster improved detection of at-risk patients. This document will review the availability and utilization for nuclear cardiology procedures worldwide and propose strategies to devise regional centers of excellence to achieve quality imaging around the world. Methods As a means to establish the current state of nuclear cardiology, International Atomic Energy Agency member and non-member states were queried as to annual utilization of nuclear cardiology procedures. Other sources for imaging statistics included data from medical societies (American Society of Nuclear Cardiology, European Society of Cardiology, and the European Association of Nuclear Medicine) and nuclear cardiology working groups within several nations. Utilization was calculated by dividing annual procedural volume by 2007 population statistics (/100,000) and categorized as high (>1,000/100,000), moderate-high (250-999/100,000), moderate (100-249/100,000), low-moderate (50-99/100,000) and low ( Results High nuclear cardiology utilization was reported in the United States, Canada, and Israel. Most Western European countries, Australia, and Japan reported moderate-high utilization. With the exception of Argentina, Brazil, Colombia and Uruguay, South America had low usage. Th…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Detection of structural heart diseases has traditionally required advanced cardiac imaging, including echocardiography and cardiac magnetic resonance imaging, which are resource-intensive and not suitable for large-scale disease screening.
“The detection of these disorders has traditionally required advanced cardiac imaging, including echocardiography and cardiac magnetic resonance imaging, which are resource-intensive and, therefore, not suitable for large-scale disease screening.2,3”
From Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images (2025) · cites this paper as [3]
Cited by
Sorted by citations
Dhingra, L. S., Aminorroaya, A., Sangha, V., Pedroso, A. F., Shankar, S. V., Coppi, A., Foppa, M., Brant, L. C. C., Barreto, S. M., Ribeiro, A. L. P., et al. (2025) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2025.01.030 · Cited by 53 · see citing works
- Authors
- Vitola, J. V., Shaw, L. J., Allam, A. H., Orellana, P., Peix, A., Ellmann, A., Allman, K. C., Lee, B. N., Siritara, C., Keng, F. Y. J., Sambuceti, G., Kiess, M. C., Giubbini, R., Bouyoucef, S. E., He, Z.-X., Thomas, G. S., Mut, F., & Dondi, M.
- Affiliations
- Emory University (US)
- Al-Azhar University (EG)
- Pontificia Universidad Católica de Chile (CL)
- Instituto de Cardiología y Cirugía Cardiovascular (CU)
- Stellenbosch University (ZA)
- The University of Sydney (AU)
- Mahidol University (TH)
- National Heart Centre Singapore (SG)
- University of Genoa (IT)
- University of British Columbia (CA)
- Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia (IT)
- Centre Hospitalo-Universitaire Bab El Oued (DZ)
- Fu Wai Hospital (CN)
- University of California, Irvine (US)
- International Atomic Energy Agency (AT)
- Corresponding author
- Dondi, Maurizio
- ORCID
- Venue
- Journal of Nuclear Cardiology
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 16
- Issue
- 6
- Pages
- 956-961
- ISSN
- 1071-3581 (ISSN-L)
- OpenAlex
- W2023027661
- Cited by
- 77
- References
- 0
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 2 · 2022: 1 · 2021: 4 · 2020: 5 · 2019: 5 · 2018: 8 · 2017: 7 · 2016: 8 · 2015: 3 · 2014: 8 · 2013: 7 · 2012: 1
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Nuclear Cardiology (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
- Funders
- International Atomic Energy Agency
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Surgery
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advances in Oncology and Radiotherapy
- Keywords
- nuclear cardiology, myocardial perfusion SPECT, low- and middle-income countries, nuclear medicine education, gross domestic product, quality assurance
- MeSH terms
- Cardiology, Diagnostic Imaging, Health Services Accessibility, Nuclear Medicine, Developed Countries, Needs Assessment
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
