Loading...
Thumbnail Image
Publication

Multimodality Imaging in the Detection of Ischemic Heart Disease in Women

Gaine, Sean Paul
Sharma, Garima
Tower-Rader, Albree
Botros, Mina B
Kovell, Lara C
Parakh, Anushri
Wood, Malissa J
Harrington, Colleen M
Embargo Expiration Date
Abstract

Women with coronary artery disease tend to have a worse short and long-term prognosis relative to men and the incidence of atherosclerotic cardiovascular disease is increasing. Women are less likely to present with classic anginal symptoms when compared with men and more likely to be misdiagnosed. Several non-invasive imaging modalities are available for diagnosing ischemic heart disease in women and many of these modalities can also assist with prognostication and help to guide management. Selection of the optimal imaging modality to evaluate women with possible ischemic heart disease is a scenario which clinicians often encounter. Earlier modalities such as exercise treadmill testing demonstrate significant performance variation in men and women, while newer modalities such as coronary CT angiography, myocardial perfusion imaging and cardiac magnetic resonance imaging are highly specific and sensitive for the detection of ischemia and coronary artery disease with greater parity between sexes. Individual factors, availability, diagnostic performance, and female-specific considerations such as pregnancy status may influence the decision to select one modality over another. Emerging techniques such as strain rate imaging, CT-myocardial perfusion imaging and cardiac magnetic resonance imaging present additional options for diagnosing ischemia and coronary microvascular dysfunction.

Source

Gaine SP, Sharma G, Tower-Rader A, Botros M, Kovell L, Parakh A, Wood MJ, Harrington CM. Multimodality Imaging in the Detection of Ischemic Heart Disease in Women. J Cardiovasc Dev Dis. 2022 Oct 13;9(10):350. doi: 10.3390/jcdd9100350. PMID: 36286302; PMCID: PMC9604786.

Year of Medical School at Time of Visit
Sponsors
Dates of Travel
DOI
10.3390/jcdd9100350
PubMed ID
36286302
Other Identifiers
Notes
Funding and Acknowledgements
Corresponding Author
Related Resources
Related Resources
Repository Citation
Rights
Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).Attribution 4.0 International