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
Citations
Student Authors
Faculty Advisor
Academic Program
UMass Chan Affiliations
Document Type
Publication Date
Subject Area
Embargo Expiration Date
Link to Full Text
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.