Abstract
Cardiovascular diseases (CVD) remain the leading cause of mortality worldwide. Although major diagnostic and therapeutic advances have significantly improved the prognosis of patients with CVD in the past decades, these advances have less benefited women than age-matched men. Noninvasive cardiac imaging plays a key role in the diagnosis of CVD. Despite shared imaging features and strategies between both sexes, there are critical sex disparities that warrant careful consideration, related to the selection of the most suited imaging techniques, to technical limitations, and to specific diseases that are overrepresented in the female population. Taking these sex disparities into consideration holds promise to improve management and alleviate the burden of CVD in women. In this review, we summarize the specific features of cardiac imaging in four of the most common presentations of CVD in the female population including coronary artery disease, heart failure, pregnancy complications, and heart disease in oncology, thereby highlighting contemporary strengths and limitations. We further propose diagnostic algorithms tailored to women that might help in selecting the most appropriate imaging modality.
Keywords: Noninvasive imaging, SPECT, PET, CMR, CCTA, Sex, Gender
Introduction
Noninvasive imaging is of paramount value for the diagnosis and management of cardiovascular diseases (CVD). Indeed, there is a wealth of evidence showing that the appropriate choice of imaging modality improves not only diagnostic accuracy but also long-term outcomes [1]. Although overall diagnostic strategies are comparable between sexes, female-specific attributes may substantially affect the diagnostic performance of the underlying procedure (Table 1). Furthermore, technical challenges due to breast attenuation and general radiation safety considerations constitute major decision-making criteria for the selection of the most appropriate diagnostic procedure in women.
Table 1.
Specificities in women relevant to the respective imaging modality | Advantages in women | Disadvantages in women | |
---|---|---|---|
Cardiac CT |
- Higher heart rate - Less non-obstructive CAD - Less calcified plaques - Less high-risk plaque features - Smaller diameter of epicardial coronary arteries - Angina for lower degrees of coronary stenosis - FFR-CT higher in women than in men for given stenosis severity |
- Calcium scoring: higher sensitivity in women - CCTA: imaging of positive remodeling, a differential diagnosis of non-obstructive CAD - Early detection of plaques and subsequent increase in preventive therapies - Information about plaque composition - Measurement of CT perfusion and FFR-CT - Reduced need for additional testing and costs in women with angina |
- Radiation exposure (0.5–7 mSv) - Lower sensitivity and specificity for detection of stable CAD than in men - Lower image quality due to smaller size of epicardial coronary arteries |
CMR |
- Small left ventricular cavity size in postmenopausal women - T1 and ECV mapping values higher in women than in men - In pregnant women, adapt position to left lateral tilt position |
- Devoid of radiation exposure; possible during the 2nd and 3rd trimester of pregnancy - Simultaneous assessment of cardiac volumes, function, and perfusion - Mapping techniques to detect edema and fibrosis - Measurement of GLS to detect CTRCD - Higher sensitivity than SPECT-MPI for stable CAD - Differential diagnosis of MINOCA/INOCA |
- Higher rates of side effects of vasodilator agents for stress perfusion CMR - Fetal risk induced by heating effect during 1st trimester of pregnancy - Fetal risk related to gadolinium at any stage of pregnancy - Higher frequency of claustrophobia in women |
SPECT |
- Small left ventricular cavity size in postmenopausal women - Breast tissue |
- High accuracy for detection of myocardial ischemia - Wide availability - If combined SPECT/CT, possible correction of breast attenuation artifacts - If combined SPECT/CT, possible simultaneous quantification of CACS |
- Highest radiation exposure of all noninvasive imaging modalities (2–8 mSv) - Higher rates of side effects of vasodilator agents - Small heart artifact - Breast attenuation artifact - No diagnosis of CMVD - Risk of false negatives for small ischemic areas - Underestimation of LVEF value compared to CMR - Excretion of radiotracer in maternal milk: interruption of breastfeeding for > 12 h |
PET |
- Higher values of MBF at rest - CFR values lower in women than in men |
- Reference standard for the quantification of MBF and CFR - High spatial resolution - Correction of breast attenuation artifacts |
- Radiation exposure (2–5 mSv) - No routine measurement of cardiac volumes - Excretion of radiotracer in maternal milk: interruption of breastfeeding for > 12 h |
Abbreviations. CACS: coronary artery calcium score; CAD: coronary artery disease; CCTA: coronary computed tomography angiography; CMR: cardiac magnetic resonance; CMVD: coronary microvascular dysfunction; CFR: coronary flow reserve; CT: computed tomography; CTRCD: cancer treatment-related cardiac dysfunction; ECV: extracellular volume; FFR: fractional flow reserve; GLS: global longitudinal strain; INOCA: ischemia with no obstructive coronary artery disease; LVEF: left ventricular ejection fraction; MBF: myocardial blood flow; mSv: milliSievert; MINOCA: myocardial infarction with no obstructive coronary artery disease; MPI: myocardial perfusion imaging; PET: positron emission tomography; SPECT: single-photon emission computed tomography
In this review, we summarize the main female characteristics in pathophysiology and clinical presentation of the most frequent cardiovascular conditions and discuss the contemporary limitations of cardiac imaging in women. We further present four clinical scenarios, including seven case examples, where cardiac imaging proved useful in women with suspected or manifest CVD.
Pathophysiological features of cardiovascular diseases in women
The most obvious pathophysiological differences between women and men in relation to CVD are linked to sex hormones. Relatively protected against CVD before menopause, women’s risk exceeds men’s risk after menopause, highlighting the cardioprotective influence of sex hormones, particularly estrogens [2]. Conversely, female-specific diseases associated with dysregulation of sex hormones, such as polycystic ovary syndrome and premature menopause, increase cardiovascular risk [3].
Mutiple pathophysiological mechanisms are shared between both sexes but display a sexual dimorphism resulting in different phenotypes of CVD. Coronary microvascular dysfunction (CMVD) [4] is a condition of microvessel impairment leading to myocardial ischemia even in the absence of epicardial coronary artery stenosis [5]. Several sex-specific biological, hormonal, and neurological pathways promote CMVD, acting in isolation or synergistically [6]. Indeed, CMVD is favored by low-grade systemic inflammation and increased sympathetic activity, which are more pronounced in women compared to men, as well as by the decrease of estrogens in postmenopausal women [7–9]. Importantly, CMVD is thought to be the common soil of various CVDs affecting most frequently postmenopausal women, such as ischemia with no obstructive coronary artery disease (INOCA), heart failure (HF) with preserved ejection fraction (HFpEF), Takotsubo cardiomyopathy (TTC, also termed stress-induced cardiomyopathy, apical ballooning syndrome or broken-heart-syndrome), peripartum cardiomyopathy (PPCM), and cardiomyopathy related to antineoplastic treatments [10–12], all of which will be discussed in this review.
Negative emotions can also trigger CVD via the so-called brain–heart axis [13, 14]. An elevated amygdalar metabolic activity, a brain region involved in the processing of emotions, is associated with an increased risk of future major adverse cardiovascular events (MACE) [15]. In women, but not in men, an association between the presence of myocardial ischemia and an increased amygdalar metabolic activity has recently been shown [16] and is consistent with a high prevalence of mental stress in women with CVD [13]. Similarly, women are at a higher risk of mental stress-induced myocardial ischemia than men [17], which might be associated with the increased baseline sympathetic activity in older women [18]. Sympathetic hypertonia also plays a detrimental role in HF [19] and TTC [20] and may account, at least in part, for the gender bias and sex-specific phenotypes seen in these conditions.
Sex differences in cardiovascular diseases and their impact on cardiac imaging
Coronaryartery disease in women
Coronary artery disease (CAD) differs between women and men in terms of risk factors—with a higher impact of traditional cardiovascular risk factors (CVRFs) in women, despite a lower overall risk burden [21], clinical presentation—more often atypical in women [3], mechanisms—with lower atherosclerotic plaque burden in women [22], and outcomes—worse prognosis in women, despite lower CAD burden [23]. In addition, women more frequently report non-traditional CVRFs, such as mental stress and depression [13]. Mechanistically, plaque composition differs between sexes with women presenting more often with plaque erosion during an acute coronary syndrome (ACS) (as compared to plaque rupture in men), less necrotic core, and less plaque calcification [24]. These sex differences in plaque composition could account for the higher prevalence of ischemia with non-obstructive CAD in women [24], a central feature in the female population of both acute and chronic coronary syndromes (CCS). Consequently, the ongoing paradigm that CAD imaging consists of detecting epicardial coronary stenosis must be reconsidered in women [24].
In ACS, the majority of cases occur due to a plaque rupture which leads to a coronary occlusion, and is more frequent in men [25]. However, a subgroup of individuals displays myocardial infarction (MI) with no obstructive coronary arteries (MINOCA), of which the majority are women [26, 27]. MINOCA is defined as (i) an acute MI (as per the 4th universal definition) [28], (ii) with no obstructive coronary arteries on invasive coronary angiography (ICA), (iii) and no specific differential diagnosis, which requires excluding myocarditis and TTC [29, 30]. While MINOCA remains of unknown origin in 8–25% of cases [30], it can also be induced by specific conditions with high female prevalence, including coronary spasm (Case 1) and spontaneous coronary artery dissection (SCAD, see the “Specific cardiac diseases in pregnancy” section) [31]. Spontaneously resolving coronary plaque erosion can also cause MINOCA [32]. Given the specific etiologies of ACS in women, a new classification has been proposed in this population. Indeed, using the universal definition of MI, 1 out of 8 young women (< 55 years) with ACS remains unclassified [33]. The VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) classification, which groups patients according to their clinical features, reduces the rate of unclassified cases thereby helping to tailor management strategies [34] (Fig. 1).
Similarly, in CCS, more women than men present with symptoms of myocardial ischemia but no obstructive coronary arteries (INOCA) [35]. INOCA is the clinical manifestation of two different mechanisms that can overlap, i.e., CMVD (Case 2) and vasospastic angina [35]. One particular form of INOCA with a female overrepresentation is mental stress-induced myocardial ischemia [17], which consists of a left ventricular ejection fraction (LVEF) decline or a new regional wall motion abnormality or a perfusion decrease following mental stress [36]. As INOCA is associated with an increased risk of MACE [37], which is usually not captured by traditional risk scores [38], the diagnostic strategy must be adapted in the female population (Fig. 2).
Specific considerations of imaging modalities for coronary syndromes in women
Advanced noninvasive cardiac imaging plays a critical role in women with suspected CAD [39] (Table 2). The most commonly used techniques are coronary computed tomography angiography (CCTA), cardiac magnetic resonance (CMR) imaging and myocardial perfusion imaging (MPI), i.e., 99mTechnetium (99mTc) and 201Thallium (201Tl) single-photon emission computed tomography (SPECT), and positron emission tomography (PET) using 82Rubidium (82Rb), 13 N-ammonia (13N-NH3), or 15O-water (15O) [40].
Table 2.
Specificities in women relevant to the respective imaging modality | Noninvasive imaging tools | Imaging findings | |
---|---|---|---|
Ischemic heart disease | MINOCA | - SPECT (201Tl, 99mTc) and PET (82Rb, 13N-NH3, 15O-H2O) perfusion tracers | - Myocardial fixed perfusion defect in case of myocardial necrosis |
- CMR |
- Myocardial fixed perfusion defect in case of myocardial necrosis - Subendocardial edema and LGE in case of ischemia |
||
- CCTA | - Non-obstructive CAD, positive remodeling | ||
Microvessel disease | - PET perfusion tracers (82Rb, 13N-NH3, 15O-H2O) |
- Absence of segmental perfusion defect with a distribution suggestive of epicardial origin - MBF < 1.8 mL/g/min for 13N-NH3, < 2.3 mL/g/min for 15O-H2O, no standard threshold for 82Rb - CFR < 2.0 for 82Rb and for 13N-NH3, < 2.5 for 15O-H2O |
|
- CMR (not used in clinical routine) |
- Reduced MPR < 2.2 - Absence of segmental perfusion defect with vascular distribution |
||
- CCTA | - Absence of obstructive CAD | ||
Heart failure | HFpEF | - CMR | - LVEF ≥ 50%, non-dilated LV, concentric hypertrophy, and left atrial enlargement |
- SPECT and PET radiotracers | - No specific finding | ||
- CCTA | - No specific finding | ||
TTC |
- SPECT (99mTc, 201Tl) and PET (82Rb, 13N-NH3, 15O-H2O) perfusion radiotracers - Glucose metabolism (18F-FDG) - Myocardial sympathetic innervation (123I-MIBG) |
- Reduced perfusion in the acute phase, normalized perfusion in the subacute phase - Reduced in the acute and subacute phase - Reduced in the acute and subacute phase |
|
- CMR |
- Kinetic abnormalities (apical, basal, or midventricular), myocardial edema, LV thrombi in case of complication - No sign of necrosis |
||
- CCTA | - Absence of obstructive CAD |
Abbreviations. 13N-NH3: nitrogen-13 radiolabelled ammonia; 15O-H2O: oxygen-15 radiolabeled water; 18F-FDG: fluor-18 radiolabeled fluorodeoxyglucose; 82Rb: Rubidium-82; 123I-MIBG: iodine-123-meta-iodobenzylguanidine; 99mTc: technetium-99 m; 201Tl: Thallium-201; CAD: coronary artery disease; CCTA: coronary computed tomography angiography; CFR: coronary flow reserve; CMR: cardiac magnetic resonance imaging; HFpEF: heart failure with preserved ejection fraction; LGE: late gadolinium enhancement; LV: left ventricle; LVEF: left ventricle ejection fraction; MBF: myocardial blood flow; MINOCA: myocardial infarction and no obstructive coronary artery disease; MPR: myocardial perfusion reserve; PET: positron emission tomography; SPECT: single-photon emission computed tomography; TTC: Takotsubo cardiomyopathy
Coronary computed tomography angiography
CCTA allows the detection and assessment of coronary stenosis severity, with obstructive CAD being defined as a stenosis ≥ 70%, or ≥ 50% if ischemia is documented [41]. Despite an overall high diagnostic accuracy for the detection of stable CAD [40, 42], the sensitivity and specificity of CCTA is slightly lower in women than in men [43, 44], owing to the smaller diameter of coronary vessels in women as well as to their frequently higher heart rates resulting in motion artifacts and lower image quality [45]. Women with moderate or severe ischemia are more likely to have non-obstructive CAD (i.e., < 50% stenosis in all vessels) on CCTA than men [46], and they present angina symptoms for lower degrees of stenosis than men [47]. This could again be explained by the fact that women have smaller epicardial coronary arteries [48] and more often positive remodeling, which might become symptomatic at lower degrees of stenosis than in men [47], particularly in distal segments and side branches [44]. Additionally, the coronary diameter is a key parameter predicting image quality of CCTA examination, which is therefore more frequently lower in women than in men [49]. Nevertheless, CCTA results in lower use of additional testing and costs in women than in men, although at the expense of higher radiation exposure compared to functional testing [50].
Beyond detection of coronary stenosis, CCTA informs about plaque composition, which is of prognostic value regardless of the degree of stenosis. Indeed, evaluation of low-attenuation plaque volume (< 30 Hounsfield units) is a better predictor of future ACS than plaque calcification and stenosis severity [51]. This could be particularly interesting in women who usually exhibit lower plaque burden and calcifications than men [52], notwithstanding worse long-term outcomes [23]. Although women display less high-risk plaque features than men (low-attenuation plaques, positive remodeling, spotty calcifications, and napkin ring sign) [53], a study in 4415 patients with stable chest pain without known CAD showed that high-risk plaques found by CCTA were a stronger predictor of MACE in women than in men [54]. While calcified plaques are usually non-modifiable, the progression of non-calcified plaques can potentially be modified by preventive treatment such as statins [55]. Accordingly, the early detection of plaque progression with CCTA could result in an early initiation of treatment, which may improve patients’ outcomes [56]. Moreover, plaque regression under preventive treatment, as assessed by CCTA, is a promising imaging biomarker of treatment efficacy that may help tailor the therapeutic strategy [57].
Non-contrast cardiac computed tomography (CT), whose effective radiation dose amounts to < 1 mSv using contemporary scanners [58], can also provide valuable information about the calcified plaque burden in coronary arteries (Agatston coronary artery calcium score, CACS), a powerful predictor of subsequent MACE [59]. Although overall coronary calcium burden is lower in women than in men, CACS is a better predictor of MACE in the female population than in men, with a similar burden of calcified plaques being associated with a worse prognosis in women [60]. However, CACS does not rule out non-calcified plaques, stressing the importance of plaque composition analysis in women, in whom calcifications appear nearly 10 years later than in men [47]. Nevertheless, when matching the baseline plaque volume, the progression rate of plaque burden appears mediated mainly by calcified plaques in women and by non-calcified plaques in men [61]. Therefore, a careful evaluation of changes in plaque composition could help fine-tune the coronary risk stratification, especially in the female population [57]. Noteworthy, breast arterial calcifications are associated with subclinical CAD and their detection might improve risk stratification in asymptomatic women [62].
Additional novel CCTA tools have emerged lately, which could improve the detection of ischemia in women [63]. Indeed, it has been shown that adding CT perfusion to CCTA improves the specificity of ischemia detection compared to CCTA alone in women, but not in men [64]. CT-derived fractional flow reserve (FFR-CT) was shown to be higher in women than men regardless of stenosis degree, and women tend to have a lower likelihood of positive FFR-CT than men for a similar degree of coronary stenosis [65]. This highlights the need for sex-based thresholds and further studies exploring the incremental prognostic value of FFR-CT in women.
The use of CCTA remains limited in young women due to breast radiation exposure and in pregnant women, with estimated radiation of 0.5–7 mSv [66]. For a similar exposure from cardiac imaging, the risk of developing cancer is higher in women than in men, which could be related to relatively smaller body sizes in women [67]. Nevertheless, technological advances and refinements of the scanning protocol may allow a significant reduction of the effective breast tissue dose [68].
Cardiac magnetic resonance
CMR is particularly interesting in women with suspected CAD because it is devoid of ionizing radiation exposure [69]. In women with stable CAD, CMR has a higher sensitivity than SPECT as demonstrated by the CE-MARC [70] and MR-IMPACT II studies [71]. Two CMR techniques are available to detect myocardial ischemia [72]: perfusion CMR using a vasodilator agent and requiring a gadolinium-based contrast agent to assess perfusion abnormalities, and dobutamine-stress CMR, which focuses on wall motion abnormalities and therefore does not require contrast agents. Noteworthy, the higher rate of side effects induced by vasodilator agents in women (such as headache, flushes, dizziness, chest pain, and nausea), in particular with adenosine [73], represents a limitation to their use. Interestingly, first-pass myocardial perfusion on vasodilator stress CMR can detect subendocardial ischemia even in the absence of significant coronary stenosis, a frequent presentation in women [30]. Although not yet implemented in clinical routine, quantification of myocardial blood flow (MBF) by rest/stress high-resolution perfusion CMR displays good accuracy to identify CMVD [74]. CMR’s high spatial resolution can also be useful in the follow-up of women with ACS undergoing revascularization, who present with smaller post-revascularization infarct size and myocardial salvage than men [75]. T1 and T2 mapping techniques and CMR-based measurement of extracellular volume (ECV) help to accurately assess the acute infarct size [76]. T1 mapping is highly sensitive to edema (such as in the acute phase of MI [77]), and fibrosis (such as in scarred myocardium following MI [78]). ECV measurement using mapping techniques also detects myocardial fibrosis with high sensitivity, complementing the data obtained from T1 mapping [79]. While late gadolinium enhancement (LGE) only highlights focal fibrosis [80], T1 and ECV mapping allow the detection of diffuse interstitial fibrosis, even in the early phases of the disease [81]. Similarly, T2 myocardial maps can be generated, which, if increased, indicate myocardial edema [82]. CMR mapping techniques simultaneously assess differential diagnoses of CAD in women such as myocarditis and TTC [83]. Indeed, early CMR imaging with T1 and ECV mapping techniques significantly improves the detection of acute phases of TTC compared to CMR without mapping, by evidencing myocardial edema in the affected area [83, 84].
Noteworthy, T1 and ECV values are higher in women than in men [85]. Additionally, T1 and ECV increase with age in males, but not in females [79], which could reflect the age-dependent increase of interstitial myocardial fibrosis in males observed in histopathological studies [86]. While these differences might be irrelevant in diseases inducing high levels of myocardial edema and/or fibrosis, they could become significant in diseases inducing mild changes, suggesting the need for sex-specific reference values for mapping parameters [79]. Another advantage of CMR in women as compared to SPECT is that CMR is devoid of breast attenuation artifacts [87]. Moreover, CMR is not associated with radiation exposure and is therefore encouraged over ionizing techniques (SPECT, PET) in premenopausal women with intermediate-to-high risk of CAD [88]. Nonetheless, a limitation of CMR in women is their higher rate of claustrophobia [89].
Nuclear imaging modalities
SPECT is the most common functional imaging technique for ischemia detection and risk stratification of women with stable CAD [90]. Despite overall high diagnostic accuracy in women [91], the detection of small areas of ischemia by SPECT-MPI can be limited in postmenopausal women who present with smaller left ventricular (LV) volumes, which in conjunction with the limited spatial resolution of SPECT induce image blurring [90]. In addition, SPECT-MPI cannot rule out CMVD [92] as it does not enable absolute quantification of MBF due to its low resolution. Another limitation of SPECT in women is breast tissue attenuation which can mimic perfusion defects, classically in the anterior wall [93]. Several techniques help to reduce attenuation artifacts including image acquisition in prone position, breast bandage, and CT-based attenuation correction [94]. Combining CT with SPECT also allows quantifying intrathoracic fat and CACS, which provide incremental prognostic value for MACE in women [95].
Radiation exposure represents a major drawback of SPECT-MPI in young women [96], with an estimated exposure of 2–8 mSv [66]. 99mTc should therefore be favored over 201Tl because of its lower radiation exposure [88]. Additionally, if stress imaging is normal, skipping rest acquisitions can decrease total radiation dose [97]. Highly sensitive cadmium-zinc-telluride-based detectors also allow the reduction of the amount of injected radiotracer and the associated radiation burden [98] while improving diagnostic accuracy in women with low-to-intermediate likelihood of CAD. Indeed, cadmium-zinc-telluride-based detectors reduce the percentage of artefactual perfusion defects, in particular those induced in the anterior wall by breast attenuation [99]. Similarly, PET-MPI is associated with a lower radiation exposure than SPECT [100]. Additionally, PET’s higher spatial resolution compared to SPECT reduces the rate of false negatives in women that are related to smaller LV size [90]. Moreover, PET-MPI (using either 13N-NH3, 82Rb, or 15O-H2O) enables absolute quantification of myocardial perfusion, i.e., MBF and coronary flow reserve (CFR), which are key elements of CMVD [101]. Of note, MBF values at rest are higher and CFR values are lower in women than in men [102], and the predictive value of PET-derived MBF and CFR for MACE is lower in women than in men [103, 104]. On the other hand, a blunted heart rate response after pharmacological stress for 13N-NH3-PET-MPI is a predictor of reduced CFR in women with suspected myocardial ischemia, but not in men [105]. More recently, 18F-flurpiridaz has emerged as a promising tracer for PET-MPI evaluation of MBF [106]. 18F-flurpiridaz-PET-MPI presents higher specificity than SPECT-MPI for the detection of CAD in women [107], which could be related to the preserved diagnostic performances of 18F-flurpiridaz-PET-MPI in patients with small ventricles [108]. Similar to SPECT-MPI, CT performed in combination with PET-MPI also helps correct breast attenuation artifacts [109].
With regard to plaque imaging, several studies have established the ability of vascular 18F-sodium fluoride PET (18F-NaF PET) to document the early stages of plaque microcalcification [110] and to predict the progression of coronary plaques [111]. Interestingly, the intensity of 18F-NaF uptake in atherosclerotic plaques of CVD-free patients is lower in women than in men [112], which seems consistent with the lower burden of calcified plaque in this population. Consequently, studies are needed to identify specific features of plaque progression other than calcification in the female population.
Heart failure in women
The presentation of HF can be acute or chronic. Three types of chronic HF are distinguished based on LV ejection fraction (LVEF): HF with reduced LVEF (≤ 40%, HFrEF), HF with mildly reduced LVEF (41–49%, HFmrEF, previously HF with midrange reduced EF), and HFpEF (≥ 50%) [113, 114]. Women in general display a higher LVEF than men, this difference becoming more pronounced with age. Indeed, a substantial decrease in LV end-systolic volume in aging women accounts for a concomitant increase in LVEF [113, 115]. It is therefore conceivable that women with 51% ≤ LVEF ≤ 59% in fact present early stages of HFrEF [116] and are wrongly categorized as HFpEF [113]. Interestingly, supra-normal LVEF (≥ 65%) is associated with an increased risk of death in women, but not in men [117, 118].
In Western countries, HFpEF affects 5% of the population aged ≥ 60 years and represents more than half of all HF-related hospitalizations [119]. HFpEF displays a clear female overrepresentation with a ~ 2:1 ratio [12]. Besides female sex, risk factors for HFpEF include advanced age > 70 years, metabolic syndrome, and atrial fibrillation [120]. All these factors induce a systemic proinflammatory state, which favors CMVD. The latter is accompanied by a reduction of nitric oxide and G protein activities, which triggers myocardial hypertrophy and fibrosis, and in turn LV diastolic dysfunction [121]. The central role of CMVD in the pathophysiology of HFpEF could explain the female overrepresentation in this entity [6]. HFpEF can also be the manifestation of specific cardiomyopathies, such as inherited or acquired infiltrative cardiomyopathies (including cardiac amyloidosis), restrictive cardiomyopathies, myocarditis, or genetic cardiomyopathies [120]. Notably, women with HFpEF have a better prognosis than men with HFpEF, with less mortality despite a higher re-hospitalization rate, which could possibly reflect a sex difference in spironolactone treatment impact on all-cause mortality [122].
HFrEF in women is less frequently of ischemic origin than in men; and if so, it is more often related to CMVD than to epicardial stenosis [12]. A specific cause of acute HFrEF with female overrepresentation includes TTC-related acute HF [123]. TTC consists of acute and transient systolic LV dysfunction developing in the direct aftermath of emotional or physical stress, though sometimes no clear trigger can be identified [123]. Given its association with emotional stress, neurogenic myocardial stunning mediated by stress-induced catecholamine release has been suggested to be the most likely causative mechanism of TTC. Nevertheless, multivessel coronary spasms, impaired coronary microcirculation, or inflammatory processes have been proposed as alternative mechanisms [124]. TTC is predominantly a female postmenopausal disease with women representing 90% of cases of which 80% are diagnosed after the age of 50 [123]. TTC classically mimics ACS with ST-elevation and increased troponin; hence, TTC is a differential diagnosis of MINOCA [28]. TTC can also present as acute HF or less frequently be asymptomatic [123]. The hallmark feature of TTC is a reversible LV apical ballooning, although inverted midventricular, basal, and focal forms have also been described [123].
Other female-associated causes of acute HF are breast cancer treatment-related cardiomyopathy, and female-specific cardiomyopathies such as PPCM [12], which will be discussed in the respective sections of this review.
Noninvasive imaging plays a key role in the management of both acute and chronic HF [125, 126] (Table 2). Although the general diagnostic strategy is similar between both sexes, certain aspects need to be considered in women, related either to the choice of imaging modality to assess cardiac function, or to the etiologies of HF (Fig. 3).
Imaging-related specificities in heart failure
Assessment of cardiac function and volumes
While echocardiography is the first-line exam to assess cardiac function [127], it may be technically limited in women because of a smaller acoustic window related to breast interference and higher prevalence of a concave-shaped chest wall in women [128]. CMR is therefore a valid alternative to echocardiography for imaging of cardiac volumes [125]. CMR is considered the reference standard to measure right and left chamber volumes and mass [125], to assess both systolic and diastolic functions, determine HF etiology, and look for complications in HFrEF [129] as well as in HFpEF [130]. Noteworthy, sex differences exist in the normal values of cardiac chambers, with lower left and right ventricular and atrial volumes as well as LV mass in women as compared to men, even after correcting for body surface area [131].
Based on local practices and availability of technologies, an alternative method is 2D-gated equilibrium radionuclide angiocardiography (ERNA), which robustly determines LVEF [132]. However, scintigraphy tends to underestimate the value of LVEF compared to CMR in both sexes [133].
CCTA also accurately assesses LVEF [134]. Despite this, concerns related to radiation exposure in women limit the use of CCTA and ERNA to patients with low echogenicity and contraindications to CMR [135, 136]. Also, due to the increasing use of prospective electrocardiogram (ECG) gating, which has resulted in lower radiation dose and better image quality [137], assessment of LV volumes by CCTA is no longer ubiquitously available.
Differential diagnosis of heart failure etiologies
Heart failure with preserved ejection fraction
The European Society of Cardiology (ESC) proposes a four-step algorithm to diagnose HFpEF [120]. First, women with dyspnea (especially on exertion) or orthopnea should undergo a pretest evaluation. This consists of screening for HFpEF risk factors such as obesity, metabolic syndrome/diabetes mellitus, physical inactivity, and arterial hypertension, recording ECG in search for atrial fibrillation (a highly predictive criteria for HFpEF) [138], and performing echocardiography or CMR showing LVEF ≥ 50%, non-dilated LV, concentric hypertrophy, and left atrial enlargement [120, 139] (Case 3). If the presentation is suggestive of HFpEF, an echocardiographic score is calculated based on a series of major and minor criteria which will not be detailed here [120]. In case the score does not allow ruling in or ruling out the diagnosis of HFpEF, a 3rd step consists of considering diastolic dysfunction assessed by stress echocardiography, which alongside preserved LVEF is a cardinal feature of HFpEF [120, 139]. If the diagnosis still remains uncertain, invasive hemodynamic measurements using left and right heart catheterization are recommended with measurement of LV end-diastolic pressure and mean pulmonary capillary wedge pressure [120]. Once HFpEF is confirmed, the final step consists of an etiological workup. Given that CMVD is present in most patients with HFpEF [6], PET-MPI with calculation of CFR and MBF is recommended [120]. CMR detects most of the specific etiologies (ischemic cardiomyopathy, myocarditis, or restrictive cardiomyopathies), while CCTA can be most useful to evidence CAD [130]. In selected cases, bone scintigraphy and 123I-meta-iodobenzylguanidine (123I-MIBG) scintigraphy are useful to detect cardiac amyloidosis [140].
Heart failure with reduced ejection fraction
In case of HFrEF, the lower rate of ischemic origin in women stresses the importance of CMR with LGE and T1/T2 mapping techniques to establish alternative etiologies, such as dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), valvular heart disease (VHD) [141–143], and arrhythmogenic right ventricular cardiomyopathy [144].
Takotsubo cardiomyopathy
Although invasive imaging establishes the diagnosis of TTC in most cases, by ruling out coronary obstruction and showing the hallmark wall motion abnormality [145], multimodality imaging plays a key role in the diagnosis of TTC [146]. Echocardiography is the first-line exam, displaying the characteristic LV wall motion abnormality generally extending beyond a coronary territory. ICA is often required owing to the MI-like presentation of TTC, showing normal coronary arteries. Alternatively, CCTA can be performed in stable patients, ruling out CAD with high confidence. CMR with LGE and mapping techniques is a particularly comprehensive tool, revealing the typical kinetic abnormalities, myocardial edema (with increased T2-weighted signal and T1 mapping values), excluding differential diagnosis (particularly MINOCA and myocarditis), and detecting complications such as LV thrombi. Often overlooked, nuclear imaging tools can also establish the diagnosis, particularly in the subacute phase when wall motion has normalized thereby misleading other imaging tools (Case 4). In the subacute phase, nuclear MPI shows preserved perfusion, while 123I-MIBG and 18F-fluorodeoxyglucose (18F-FDG) uptakes remain reduced despite normalization of ventricular kinetics [147]. Interestingly, 6-Fluoro-[18F]-l-3,4-dihydroxyphenylalanine (18F-DOPA) PET-based studies have documented an age-dependent increase in 18F-DOPA uptake in the LV apex of women, which was not present in men, indicating an enhanced sympathetic activity which could account for the higher susceptibility of postmenopausal women to TTC [18].
Pregnancy
To date, heart diseases affect up to 4% of all pregnant women and 16% of pregnant women with preexisting cardiac conditions [148], rendering CVD the leading cause of maternal morbidity [149]. The latter represents one-third of all pregnancy-related maternal deaths [150]. This alarming situation has been in part attributed to the growing number of pregnancies in women aged > 35 years and to the prolonged survival of women with congenital heart diseases reaching childbearing age [149]. Additionally, pregnancy complications such as hypertensive disorders, preterm delivery, and gestational diabetes occur more often in pregnant women > 40 years [151] and increase subsequent cardiovascular risk [152]. Consequently, evidence-based recommendations for pregnant women at increased cardiovascular risk have been established, in which cardiac imaging plays a central role [153, 154].
Pregnancy-related heart disease can be caused by a preexisting maternal condition that is either first diagnosed or has worsened during pregnancy [148, 154] or by a condition newly acquired during pregnancy [155] such as PPCM (Case 5) or peripartum SCAD (Case 6).
Challenges of cardiac imaging in pregnant women
Two main challenges must be addressed when imaging pregnant women: (1) distinguishing pathological conditions from the physiological changes occurring during pregnancy; and (2) finding the optimal trade-off between radiation exposure and image quality [156].
During pregnancy, physiological adaptive cardiovascular changes occur [149]. These changes consist mainly of an increase in LV end-diastolic volume, LV mass, and cardiac output [157]. In addition, one out of four pregnant women shows an increase in LV trabeculation, which can mimic LV non-compaction cardiomyopathy [158]. Pregnancy is also associated with tachycardia [157], which can represent a technical limitation for ECG gating.
Radiation exposure during pregnancy increases the risk of breast cancer in the mother [159] and may induce miscarriage, malformation, or fetal cancer [160]. Consequently, pregnant women should preferentially undergo non-ionizing imaging, i.e., echocardiography or non-contrast-enhanced CMR [161]. It is nevertheless recommended to avoid magnetic resonance imaging > 1.5 Tesla due to concerns related to heating effect, especially during the 1st trimester [69]. Additionally, fetal exposure to gadolinium at whatever stage of pregnancy increases the risk of stillbirth or neonatal death and should be limited to the only cases when the expected benefits clearly outweigh the risks [162].
If necessary, and in agreement with a fully informed patient, ionizing techniques should not be withheld from pregnant patients, together with or in replacement of non-ionizing techniques [162]. Indeed, although no threshold exists below which there would be no risk for the fetus (stochastic effect), the risk associated with fetal radiation < 100 milliGray is considered negligible, which is beyond the usual radiation doses of diagnostic imaging [163, 164]. The as low as reasonably achievable (ALARA) dose should always be the guiding principle (ideally < 50 milliGray [165]) while preserving image quality. This can be achieved by preferentially resorting to non-ionizing imaging, by optimizing CT parameters (preferential use of low voltage and of high pitch, careful selection of tube current, use of novel reconstruction algorithms, avoiding multiple phases imaging), and for nuclear imaging by opting for radiotracers with shorter half-life (99mTc rather than 201Tl [166]) and reducing the injected radiotracer activity [66, 167]. In case scintigraphy is performed, breastfeeding needs to be interrupted for > 12 h after the study due to the excretion of the radiotracer in the maternal milk [136].
Positioning during image acquisition is also important. Indeed, in the supine position, the gravid uterus can compress the inferior vena cava which may affect cardiac output; to prevent this, pregnant women should undergo imaging in the left lateral tilt position [168].
Specific cardiac diseases in pregnancy
Peripartum cardiomyopathy
The incidence of PPCM is 1 per 1000–4000 live births in Western countries, but its incidence varies depending on predisposing factors including age > 30 years, black ethnicity, preeclampsia, hypertension, and multiparity [169]. Several pathophysiological hypotheses have been proposed to account for the development of PPCM (vascular, hormonal, and genetic) [170], but the exact underlying causes remain debated.
PPCM is defined as symptomatic LV systolic dysfunction with LVEF < 45%, developing either in the last month of pregnancy or in the 5 months following its end in women with no previously documented cardiac disease [171]. A simplified definition describes PPCM as an idiopathic HF developing towards the end of pregnancy or in the months following delivery [172]. This definition limits the risk of PPCM being under-diagnosed by too stringent timeframe cutoffs. Noteworthy, LVEF can be preserved or mildly impaired in early stages of PPCM [173]. Given the broadness of the diagnostic criteria, PPCM is in practice an exclusion diagnosis, retained after ruling out other cardiomyopathies and preexisting heart diseases, especially DCM that shares common clinical and genetic features with PPCM [174, 175]. The time of onset can help distinguishing both entities. DCM develops preferentially during late pregnancy, whereas PPCM usually occurs in the early weeks after delivery [176]. DCM must also be considered in case of familial history or preexisting LV dysfunction [177].
PPCM is usually reversible within 6 months after termination of pregnancy [178]. Factors associated with a lower rate of 12-month event-free survival or reduced LV functional recovery are LVEF < 30% at diagnosis, LV end-diastolic diameter > 60 mm, an involvement of the right ventricle (RV), and evidence of myocardial edema on CMR [179–181].
The frontline imaging exam is echocardiography [181]. CMR also accurately measures cardiac volumes, and T2 imaging characterizes myocardial edema in postpartum women [182]. Moreover, CMR excludes differential diagnosis, such as myocarditis, TTC, and DCM, and reveals stigmas of previous cardiomyopathies [141, 154, 171, 181]. CMR can also identify LV thrombi, a classical complication of PPCM [183]. LGE can evidence myocardial scarring (in postpartum women when gadolinium can safely be used), which is associated with worse outcomes [184]. CMR screens for predictors of impaired prognosis such as RV involvement [180], and mid-myocardial local LGE [185] although the prognostic value of LGE in PPCM is debated [179, 181]. CMR can further be used to monitor functional recovery, thereby guiding the therapeutic strategy [154, 177] which consists of cautious use of conventional HF medications, taking into account the risk to the child during pregnancy or related to breastfeeding, as well as of bromocriptine [186].
Ionizing techniques are usually not needed to diagnose PPCM. However, they can be useful to exclude other causes of dyspnea and HF during pregnancy, mainly pulmonary embolism and CAD [181].
Spontaneous coronary artery dissection
SCAD is an important cause of MI, especially in young and middle-aged women, and during pregnancy [187]. The reasons behind this sex dimorphism are not clear and could be linked to sex hormones as well as distinct susceptibility genes [187]. Although no sex chromosome-related gene has been identified, the overrepresentation of women in SCAD raises the question whether genes with estrogen response elements are implicated in the pathophysiology of this condition [187]. In pregnant women, the risk of SCAD is particularly high in the first week postpartum [188]. While the diagnosis is usually made by ICA, optical coherence tomography (OCT) and intravascular ultrasound are helpful in cases of uncertainty or to guide revascularization [187]. CCTA can show abrupt luminal interruption [187] and should be preferred in hemodynamically stable women, owing to the risk of aggravating the dissection by contrast injection in the coronary ostium during ICA [187]. CCTA typical findings include an intimo-medial flap, lumen narrowing, or even occlusion, caused by thrombosis or intramural hematoma [189].
Cancer
CVD is the leading cause of morbidity and mortality of cancer survivors, affecting one out of three patients [190]. Of note, female survivors of breast and cervix cancer face a 20–30% higher risk of cardiac deaths than the general population [190]. Detecting patients at risk for cardiotoxicity allows early initiation of cardioprotective therapies or avoidance of highly cardiotoxic drugs, thereby alleviating the burden of CVD in cancer patients [191]. The links between the heart and neoplastic diseases can be direct (metastasis and primary tumors) or indirect, with the latter consisting mainly of cardiotoxicity related either to therapy or to circulating factors (such as amyloid deposits in amyloidosis or serotonin in carcinoid tumors) [192].
Female sex is one of the most important risk factors of cancer treatment-related cardiotoxicity [193]. Indeed, cancer drugs that are commonly associated with cardiotoxicity include anthracyclines, alkylating agents, platinum compounds, monoclonal antibodies (notably trastuzumab), and antibody–drug conjugates, all of which are cornerstone treatments of female cancers [194]. In addition, hormonal treatments such as aromatase inhibitors specifically used in female hormone-dependent cancers might favor CVD [195]. Breast cancer is also associated with an increased risk of radiotherapy-induced cardiotoxicity due to its proximity to the heart, a risk that is potentiated by the concomitant use of anthracyclines [196].
Different types of cancer-related cardiovascular complications
Cancer therapy-related cardiac dysfunction
Cancer therapy-related cardiac dysfunction (CTRCD) is the most common complication of cancer therapy (Case 7). CTRCD is defined as a drop in systolic LV function below the lower limit of normal (< 50% for the ESC, < 53% for the European Association of Cardiovascular Imaging) in the context of cancer treatment administration along with a > 10% decline from baseline value. Confirmation by repeating the study 2–3 weeks after initial diagnosis must be obtained [197]. An additional mandatory criterion is a reduction in global longitudinal strain (GLS) > 15% from baseline [197]. Guidelines do not distinguish male and female LVEF thresholds for the diagnosis of CTRCD. However, active breast cancer in chemotherapy-naïve patients is associated with increased strain amplitude and systolic strain rate [198]. This, in conjunction with the higher values of LVEF in postmenopausal women, highlights the need for specific cut-off values of LVEF and GLS in women to avoid missing early CTRCD signs.
While endomyocardial biopsy is the gold standard to diagnose CTRCD, noninvasive imaging is the most common diagnostic tool. Echocardiography is the frontline exam to measure LVEF and GLS [199]. Nevertheless, echocardiography can be limited in women because of a smaller acoustic window related to breast interference, especially in case of implants, a common situation after breast cancer [200]. Breast implants and reconstructive surgery also limit the quality of apical-view-based GLS measurement [201]. CMR provides a more accurate and reproducible measurement of ventricular volumes as well as of GLS than echocardiography [202] and is not affected by breast artifacts [87]. Additionally, ECV and native T1 mapping can detect signs of myocardial fibrosis in women with breast cancer exposed to anthracycline [203]. Interestingly, CMR-derived LVEF and strain are predictive of subsequent CTRCD in early stage HER2 + breast cancer receiving sequential anthracycline/trastuzumab [204]. A baseline percentage of normal myocardium ≥ 80% on CMR, defined as the percentage of LV myocardium with strain less than or equal to − 17%, helps identifying women with breast cancer at risk of CTRCD [205]. In those who do develop cardiotoxicity, normal myocardium ≥ 50% is predictive of recovery [205]. Although promising for the detection of subclinical cardiotoxicity, mapping techniques and ECV values tend to overlap between patients with and without CTRCD and need further evaluation [206]. Noteworthy, cancer itself and particularly breast cancer are associated with structural cardiac changes, such as smaller chamber sizes although without significantly affecting overall LVEF [198]. Additionally, breast cancer radiotherapy damages the coronary microvascular endothelium, hence promoting CMVD [207], a situation where high-resolution perfusion CMR could prove useful [74].
Alternatively, ERNA can be used to measure and monitor LVEF [208]. However, it should be noted that, in breast cancer patients receiving trastuzumab, ERNA-derived LVEF values are lower than those of CMR [209]. Nevertheless, the use of scintigraphy in women suffers limitations, related to breast tissue/implant attenuation, to the cumulative radiation exposure induced by serial follow-up, and to the fact that GLS cannot be derived from ERNA.
Cancer therapy-related ischemic heart disease
Anticancer treatment can lead to other myocardial diseases including CAD. The risk of CAD is particularly increased in women with left breast cancer undergoing radiotherapy, which can induce fibrous stenosis of the left anterior descending artery, and accelerates progression of existing plaques [210]. Similarly, atherosclerosis progression is accelerated in patients receiving alkylating-like agents, fluoropyrimidines, and platinum compounds (increasing the risk of arterial thrombosis and vasospasm) [211]. Interestingly, CT scan used to plan radiotherapy for breast cancer also enables measuring CACS, an independent predictor of ischemic heart disease [212]. Furthermore, a recent study has shown that 18F-FDG myocardial uptake pattern is predictive of altered myocardial perfusion. Using this information obtained from oncologic imaging exams might therefore be helpful in identifying patients at risk for future cardiovascular complications of anticancer therapy at an early stage [213].
Valvular heart disease
VHD in cancer patients consist mainly of treatment-induced fibrosis/calcification leading to stenosis/regurgitation [214], and of cardiac masses obstructing the valves [215]. The risk of iatrogenic VHD is particularly marked in patients undergoing radiotherapy [215], and those receiving anthracycline [215, 216], hence in women treated for breast cancer. Echocardiography is the first-line modality to assess valve function [217]. CMR is the preferred alternative, particularly for regurgitant VHD [218]. CT is increasingly used in VHD, especially for the quantification of calcification and measurement of valve orifice area in aortic stenosis [219].
Future directions
Lately, artificial intelligence (AI)-based machine learning (ML) techniques have emerged as a promising tool in the field of imaging, opening up unprecedented possibilities in cardiovascular imaging [220]. In a recent study, Baumann et al. compared the diagnostic performance of ML-based FFR-CT to detect lesion-specific ischemia between men and women [221]. ML-based FFR-CT correlated equally well with invasive FFR for both women and men. However, compared to CCTA, the diagnostic performances for the detection of ischemia were significantly better in men only. A potential explanation could be that the smaller diameter of coronary arteries in women might affect FFR-CT calculation.
AI could also be beneficial in patients with HFpEF. In a subgroup of predominantly female HFpEF patients with few risk factors for the condition, ML techniques identified an iron overload state, thus providing the means to assess pathophysiological pathways for HFpEF in women [222].
The last decade has witnessed the development of PET probes targeting sex hormone receptors in women with gynecological cancers, such as 18F-fluoro-17β-estradiol and 18F-fluoro-5α-dihydrotestosterone [223, 224]. Given the impact of sex hormones on cardiovascular health, the use of such probes potentially constitutes an interesting research tool in the field of gender-specific medicine.
Conclusion
This review highlights sex-specific considerations that are critical for selecting the most appropriate cardiac imaging modality—with particular focus on challenges and opportunities of contemporary CVD management in women. Indeed, awareness about female attributes in cardiac imaging, considering technical implications and female-specific conditions, might help alleviate the burden of CVD in this subpopulation. Consequently, there is an urgent need for imaging guidelines that are tailored to women and men. While efforts have been made in this direction, substantial knowledge gaps still exist. Future imaging studies and recommendations require the integration of sex as an algorithm-modifying variable. In the era of precision medicine, accounting for sex disparities seems crucial to provide the best possible cardiovascular care to women and men.
Abbreviations
- 13N-NH3
Nitrogen-13-radiolabeled ammonia
- 15O-H2O
Oxygen-15-radiolabeled water
- 18F-DOPA
6-Fluoro-[18F]-l-3,4-dihydroxyphenylalanine
- 18F-FDG
Fluor-18-radiolabeled fluorodeoxyglucose
- 18F-Na
Fluor-18-sodium fluoride
- 82Rb
Rubidium-82
- 123I-MIBG
Iodine-123-meta-iodobenzylguanidine
- 99mTc
Technetium-99m
- ACS
Acute coronary syndrome
- AI
Artificial intelligence
- ALARA
As low as reasonably achievable
- ARVC
Arrhythmogenic right ventricle cardiomyopathy
- CACS
Coronary artery calcium score
- CAD
Coronary artery disease
- CCS
Chronic coronary syndrome
- CCTA
Coronary computed tomography angiography
- CFR
Coronary flow reserve
- CMR
Cardiac magnetic resonance
- CMVD
Coronary microvascular dysfunction
- CT
Computed tomography
- CTRCD
Cancer treatment-related cardiac dysfunction
- CVD
Cardiovascular diseases
- CVRF
Cardiovascular risk factor
- DCM
Dilated cardiomyopathy
- ECV
Extracellular volume
- ECG
Electrocardiogram
- ERNA
Equilibrium radionuclide angiocardiography
- ESC
European Society of Cardiology
- FFR
Fractional flow reserve
- GLS
Global longitudinal strain
- HCM
Hypertrophic cardiomyopathy
- HF
Heart failure
- HFmrEF
Heart failure with mildly reduced ejection fraction
- HFpEF
Heart failure with preserved ejection fraction
- HFrEF
Heart failure with reduced ejection fraction
- ICA
Invasive coronary angiography
- ICI
Immune checkpoint inhibitors
- INOCA
Ischemia with no obstructive coronary arteries
- IVUS
Intravascular ultrasound
- LA
Left atrium
- LGE
Late gadolinium enhancement
- LV
Left ventricle
- LVEDP
Left ventricular end-diastolic pressure
- LVEF
Left ventricular ejection fraction
- LVEDP
Left ventricular end-diastolic pressure
- MACE
Major adverse cardiovascular events
- MBF
Myocardial blood flow
- MI
Myocardial infarction
- MINOCA
Myocardial infarction with no obstructive coronary arteries
- ML
Machine learning
- mPCWP
Mean pulmonary capillary wedge pressure
- MPI
Myocardial perfusion imaging
- OCT
Optical coherence tomography
- PET
Positron emission tomography
- PPCM
Peripartum cardiomyopathy
- RV
Right ventricle
- SCAD
Spontaneous coronary artery dissection
- SPECT
Single-photon emission computed tomography
- SSFP
Steady state free precession
- TTC
Takotsubo cardiomyopathy
- TTE
Transesophageal echocardiography
Author contribution
All authors contributed to the study conception and design. Material preparation was performed by Nidaa Mikail. The first draft of the manuscript was written by Nidaa Mikail and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Funding
Open access funding provided by University of Zurich
Declarations
Competing interests
All authors have the following to disclose: The University Hospital of Zurich holds a research contract with GE Healthcare. CG has received research grants from the Novartis Foundation, Switzerland. AM has provided a consulting, advisory, or speaker role for Amgen, Astellas, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Gerresheimer, GSK, Janssen, Merck, MSD, Novartis, Roche, Sanofi, Servier, Takeda and Vifor, has received research funding from Bayer, Sanofi, Gerresheimer (personal), and Merck & Cie (institutional), has intellectual property interests relating to Merck & Cie (not related to this report), has been paid to provide expert testimony for Sanofi, and has reported travel/accommodation expenses paid for by Amgen, Astellas, Boehringer Ingelheim, Janssen, Merck, Roche, Sanofi, and Servier. BS and her research have been supported by the H.H. Sheikh Khalifa bin Hamad Al-Thani Research Programme, and research grants to the institution from the OPO Foundation, the Iten-Kohaut Foundation, the German Center for Cardiovascular Research (DZHK), Boston Scientific, and Edwards Lifesciences. BS has received consulting and speaker fees from Boston Scientific, Abbott Vascular, and MedAlliance.
Footnotes
This article is part of the Topical Collection on Cardiology
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Newby DE, Adamson PD, Berry C, Boon NA, Dweck MR, Flather M, et al. Coronary CT angiography and 5-year risk of myocardial infarction. N Engl J Med. 2018;379:924–33. 10.1056/NEJMoa1805971. [DOI] [PubMed] [Google Scholar]
- 2.Tunc E, Eve AA, Madak-Erdogan Z. Coronary microvascular dysfunction and estrogen receptor signaling. Trends Endocrinol Metab. 2020;31:228–38. 10.1016/j.tem.2019.11.001. [DOI] [PubMed] [Google Scholar]
- 3.Haider A, Bengs S, Luu J, Osto E, Siller-Matula JM, Muka T, et al. Sex and gender in cardiovascular medicine: presentation and outcomes of acute coronary syndrome. Eur Heart J. 2020;41:1328–36. 10.1093/eurheartj/ehz898. [DOI] [PubMed] [Google Scholar]
- 4.Ketelhuth DFJ, Lutgens E, Bäck M, Binder CJ, Van den Bossche J, Daniel C, et al. Immunometabolism and atherosclerosis: perspectives and clinical significance: a position paper from the Working Group on Atherosclerosis and Vascular Biology of the European Society of Cardiology. Cardiovasc Res. 2019;115:1385–92. 10.1093/cvr/cvz166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Camici PG, d’Amati G, Rimoldi O. Coronary microvascular dysfunction: mechanisms and functional assessment. Nat Rev Cardiol. 2015;12:48–62. 10.1038/nrcardio.2014.160. [DOI] [PubMed] [Google Scholar]
- 6.Shah SJ, Lam CSP, Svedlund S, Saraste A, Hage C, Tan RS, et al. Prevalence and correlates of coronary microvascular dysfunction in heart failure with preserved ejection fraction: PROMIS-HFpEF. Eur Heart J. 2018;39:3439–50. 10.1093/eurheartj/ehy531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Dal Lin C, Tona F, Osto E. The crosstalk between the cardiovascular and the immune system. Vasc Biol. 2019;1:H83–8. 10.1530/vb-19-0023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sickinghe AA, Korporaal SJA, den Ruijter HM, Kessler EL. Estrogen contributions to microvascular dysfunction evolving to heart failure with preserved ejection fraction. Front Endocrinol (Lausanne). 2019;10:442. 10.3389/fendo.2019.00442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sullivan S, Hammadah M, Wilmot K, Ramadan R, Pearce BD, Shah A, et al. Young women with coronary artery disease exhibit higher concentrations of interleukin-6 at baseline and in response to mental stress. J Am Heart Assoc. 2018;7:e010329. 10.1161/jaha.118.010329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Crea F, Bairey Merz CN, Beltrame JF, Kaski JC, Ogawa H, Ong P, et al. The parallel tales of microvascular angina and heart failure with preserved ejection fraction: a paradigm shift. Eur Heart J. 2017;38:473–7. 10.1093/eurheartj/ehw461. [DOI] [PubMed] [Google Scholar]
- 11.Del Buono MG, Montone RA, Camilli M, Carbone S, Narula J, Lavie CJ, et al. Coronary microvascular dysfunction across the spectrum of cardiovascular diseases: JACC state-of-the-art review. J Am Coll Cardiol. 2021;78:1352–71. 10.1016/j.jacc.2021.07.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Lam CSP, Arnott C, Beale AL, Chandramouli C, Hilfiker-Kleiner D, Kaye DM, et al. Sex differences in heart failure. Eur Heart J. 2019;40:3859–68. 10.1093/eurheartj/ehz835. [DOI] [PubMed] [Google Scholar]
- 13.Vaccarino V, Shah AJ, Mehta PK, Pearce B, Raggi P, Bremner JD, et al. Brain-heart connections in stress and cardiovascular disease: implications for the cardiac patient. Atherosclerosis. 2021;328:74–82. 10.1016/j.atherosclerosis.2021.05.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rossi A, Mikail N, Bengs S, Haider A, Treyer V, Buechel RR, et al. Heart-brain interactions in cardiac and brain diseases: why sex matters. European heart journal. 202210.1093/eurheartj/ehac061 [DOI] [PMC free article] [PubMed]
- 15.Tawakol A, Ishai A, Takx RA, Figueroa AL, Ali A, Kaiser Y, et al. Relation between resting amygdalar activity and cardiovascular events: a longitudinal and cohort study. Lancet (London, England). 2017;389:834–45. 10.1016/s0140-6736(16)31714-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Fiechter M, Haider A, Bengs S, Marędziak M, Burger IA, Roggo A, et al. Sex-dependent association between inflammation, neural stress responses, and impaired myocardial function. Eur J Nucl Med Mol Imaging. 2020;47:2010–5. 10.1007/s00259-019-04537-8. [DOI] [PubMed] [Google Scholar]
- 17.Vaccarino V, Sullivan S, Hammadah M, Wilmot K, Al Mheid I, Ramadan R, et al. Mental stress-induced-myocardial ischemia in young patients with recent myocardial infarction: sex differences and mechanisms. Circulation. 2018;137:794–805. 10.1161/circulationaha.117.030849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Burger IA, Lohmann C, Messerli M, Bengs S, Becker A, Maredziak M, et al. Age- and sex-dependent changes in sympathetic activity of the left ventricular apex assessed by 18F-DOPA PET imaging. PLoS ONE. 2018;13:e0202302. 10.1371/journal.pone.0202302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kaye DM, Nanayakkara S, Wang B, Shihata W, Marques FZ, Esler M, et al. Characterization of cardiac sympathetic nervous system and inflammatory activation in HFpEF patients. JACC Basic Transl Sci. 2022;7:116–27. 10.1016/j.jacbts.2021.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Borodzicz S, Czarzasta K, Opolski G, Cudnoch-Jędrzejewska A. Autonomic nervous system in Takotsubo syndrome. Heart Fail Rev. 2019;24:101–8. 10.1007/s10741-018-9729-5. [DOI] [PubMed] [Google Scholar]
- 21.Walli-Attaei M, Joseph P, Rosengren A, Chow CK, Rangarajan S, Lear SA, et al. Variations between women and men in risk factors, treatments, cardiovascular disease incidence, and death in 27 high-income, middle-income, and low-income countries (PURE): a prospective cohort study. Lancet. 2020;396:97–109. 10.1016/s0140-6736(20)30543-2. [DOI] [PubMed] [Google Scholar]
- 22.Pepine CJ, Ferdinand KC, Shaw LJ, Light-McGroary KA, Shah RU, Gulati M, et al. Emergence of nonobstructive coronary artery disease: a woman’s problem and need for change in definition on angiography. J Am Coll Cardiol. 2015;66:1918–33. 10.1016/j.jacc.2015.08.876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Min JK, Dunning A, Lin FY, Achenbach S, Al-Mallah M, Budoff MJ, et al. Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) of 23,854 patients without known coronary artery disease. J Am Coll Cardiol. 2011;58:849–60. 10.1016/j.jacc.2011.02.074. [DOI] [PubMed] [Google Scholar]
- 24.Reynolds HR, Bairey Merz CN, Berry C, Samuel R, Saw J, Smilowitz NR, et al. Coronary arterial function and disease in women with no obstructive coronary arteries. Circ Res. 2022;130:529–51. 10.1161/circresaha.121.319892. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Collet JP, Thiele H, Barbato E, Barthélémy O, Bauersachs J, Bhatt DL, et al. 2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. Eur Heart J. 2021;42:1289–367. 10.1093/eurheartj/ehaa575. [DOI] [PubMed] [Google Scholar]
- 26.Pasupathy S, Air T, Dreyer RP, Tavella R, Beltrame JF. Systematic review of patients presenting with suspected myocardial infarction and nonobstructive coronary arteries. Circulation. 2015;131:861–70. 10.1161/circulationaha.114.011201. [DOI] [PubMed] [Google Scholar]
- 27.Sara JD, Widmer RJ, Matsuzawa Y, Lennon RJ, Lerman LO, Lerman A. Prevalence of coronary microvascular dysfunction among patients with chest pain and nonobstructive coronary artery disease. JACC Cardiovasc Interv. 2015;8:1445–53. 10.1016/j.jcin.2015.06.017. [DOI] [PubMed] [Google Scholar]
- 28.Thygesen K, Alpert JS, Jaffe AS, Chaitman BR, Bax JJ, Morrow DA, et al. Fourth universal definition of myocardial infarction (2018). Circulation. 2018;138:e618–51. 10.1161/cir.0000000000000617. [DOI] [PubMed] [Google Scholar]
- 29.Tamis-Holland JE, Jneid H, Reynolds HR, Agewall S, Brilakis ES, Brown TM, et al. Contemporary diagnosis and management of patients with myocardial infarction in the absence of obstructive coronary artery disease: a scientific statement from the American Heart Association. Circulation. 2019;139:e891–908. 10.1161/cir.0000000000000670. [DOI] [PubMed] [Google Scholar]
- 30.Agewall S, Beltrame JF, Reynolds HR, Niessner A, Rosano G, Caforio AL, et al. ESC working group position paper on myocardial infarction with non-obstructive coronary arteries. Eur Heart J. 2017;38:143–53. 10.1093/eurheartj/ehw149. [DOI] [PubMed] [Google Scholar]
- 31.Waheed N, Elias-Smale S, Malas W, Maas AH, Sedlak TL, Tremmel J, et al. Sex differences in non-obstructive coronary artery disease. Cardiovasc Res. 2020;116:829–40. 10.1093/cvr/cvaa001. [DOI] [PubMed] [Google Scholar]
- 32.Singh T, Chapman AR, Dweck MR, Mills NL, Newby DE. MINOCA: a heterogenous group of conditions associated with myocardial damage. Heart (British Cardiac Society). 2021;107:1458–64. 10.1136/heartjnl-2020-318269. [DOI] [PubMed] [Google Scholar]
- 33.Spatz ES, Curry LA, Masoudi FA, Zhou S, Strait KM, Gross CP, et al. The Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) classification system: a taxonomy for young women with acute myocardial infarction. Circulation. 2015;132:1710–8. 10.1161/circulationaha.115.016502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sciria CT, Dreyer RP, D’Onofrio G, Safdar B, Krumholz HM, Spatz ES. Application of the VIRGO taxonomy to differentiate acute myocardial infarction in young women. Int J Cardiol. 2019;288:5–11. 10.1016/j.ijcard.2019.03.054. [DOI] [PubMed] [Google Scholar]
- 35.Kunadian V, Chieffo A, Camici PG, Berry C, Escaned J, Maas A, et al. An EAPCI expert consensus document on ischaemia with non-obstructive coronary arteries in collaboration with European Society of Cardiology Working Group on Coronary Pathophysiology & Microcirculation Endorsed by Coronary Vasomotor Disorders International Study Group. Eur Heart J. 2020;41:3504–20. 10.1093/eurheartj/ehaa503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Arri SS, Ryan M, Redwood SR, Marber MS. Mental stress-induced myocardial ischaemia. Heart (British Cardiac Society). 2016;102:472–80. 10.1136/heartjnl-2014-307306. [DOI] [PubMed] [Google Scholar]
- 37.Bairey Merz CN, Shaw LJ, Reis SE, Bittner V, Kelsey SF, Olson M, et al. Insights from the NHLBI-Sponsored Women’s Ischemia Syndrome Evaluation (WISE) study: part II: gender differences in presentation, diagnosis, and outcome with regard to gender-based pathophysiology of atherosclerosis and macrovascular and microvascular coronary disease. J Am Coll Cardiol. 2006;47:S21–9. 10.1016/j.jacc.2004.12.084. [DOI] [PubMed] [Google Scholar]
- 38.Sedlak T, Herscovici R, Cook-Wiens G, Handberg E, Wei J, Shufelt C, et al. Predicted versus observed major adverse cardiac event risk in women with evidence of ischemia and no obstructive coronary artery disease: a report from WISE (Women’s Ischemia Syndrome Evaluation). J Am Heart Assoc. 2020;9:e013234. 10.1161/jaha.119.013234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Edvardsen T, Asch FM, Davidson B, Delgado V, DeMaria A, Dilsizian V, et al. Non-invasive imaging in coronary syndromes - recommendations of the European Association of Cardiovascular Imaging and the American Society of Echocardiography, in Collaboration with the American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography and Society for Cardiovascular Magnetic Resonance. Eur Heart J Cardiovasc Imaging. 202110.1093/ehjci/jeab244
- 40.Rodriguez Lozano PF, RrapoKaso E, Bourque JM, Morsy M, Taylor AM, Villines TC, et al. Cardiovascular imaging for ischemic heart disease in women: time for a paradigm shift. JACC Cardiovasc Imaging. 202210.1016/j.jcmg.2022.01.006 [DOI] [PMC free article] [PubMed]
- 41.Patel MR, Calhoon JH, Dehmer GJ, Grantham JA, Maddox TM, Maron DJ, et al. ACC/AATS/AHA/ASE/ASNC/SCAI/SCCT/STS 2017 appropriate use criteria for coronary revascularization in patients with stable ischemic heart disease : a report of the American College of Cardiology Appropriate Use Criteria Task Force, American Association for Thoracic Surgery, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, and Society of Thoracic Surgeons. Journal Nucl Cardiol : off publ of the American Soc Nucl Cardiol. 2017;24:1759–92. 10.1007/s12350-017-0917-9. [DOI] [PubMed] [Google Scholar]
- 42.Nielsen LH, Ortner N, Nørgaard BL, Achenbach S, Leipsic J, Abdulla J. The diagnostic accuracy and outcomes after coronary computed tomography angiography vs. conventional functional testing in patients with stable angina pectoris: a systematic review and meta-analysis. Eur heart J Cardiovasc Imaging. 2014;15(961):71. 10.1093/ehjci/jeu027. [DOI] [PubMed] [Google Scholar]
- 43.Mieres JH, Shaw LJ, Arai A, Budoff MJ, Flamm SD, Hundley WG, et al. Role of noninvasive testing in the clinical evaluation of women with suspected coronary artery disease: consensus statement from the Cardiac Imaging Committee, Council on Clinical Cardiology, and the Cardiovascular Imaging and Intervention Committee, Council on Cardiovascular Radiology and Intervention. American Heart Assoc Circ. 2005;111:682–96. 10.1161/01.Cir.0000155233.67287.60. [DOI] [PubMed] [Google Scholar]
- 44.Meijboom WB, Weustink AC, Pugliese F, van Mieghem CA, Mollet NR, van Pelt N, et al. Comparison of diagnostic accuracy of 64-slice computed tomography coronary angiography in women versus men with angina pectoris. Am J Cardiol. 2007;100:1532–7. 10.1016/j.amjcard.2007.06.061. [DOI] [PubMed] [Google Scholar]
- 45.Haase R, Schlattmann P, Gueret P, Andreini D, Pontone G, Alkadhi H, et al. Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data. BMJ (Clinical research ed). 2019;365:l1945. 10.1136/bmj.l1945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Reynolds HR, Shaw LJ, Min JK, Spertus JA, Chaitman BR, Berman DS, et al. Association of sex with severity of coronary artery disease, ischemia, and symptom burden in patients with moderate or severe ischemia: secondary analysis of the ISCHEMIA Randomized Clinical Trial. JAMA cardiology. 2020;5:773–86. 10.1001/jamacardio.2020.0822. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Truong QA, Rinehart S, Abbara S, Achenbach S, Berman DS, Bullock-Palmer R, et al. Coronary computed tomographic imaging in women: an expert consensus statement from the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2018;12:451–66. 10.1016/j.jcct.2018.10.019. [DOI] [PubMed] [Google Scholar]
- 48.Patel MB, Bui LP, Kirkeeide RL, Gould KL. Imaging microvascular dysfunction and mechanisms for female-male differences in CAD. JACC Cardiovasc Imaging. 2016;9:465–82. 10.1016/j.jcmg.2016.02.003. [DOI] [PubMed] [Google Scholar]
- 49.Ghekiere O, Nchimi A, Djekic J, El Hachemi M, Mancini I, Hansen D, et al. Coronary computed tomography angiography: patient-related factors determining image quality using a second-generation 320-slice CT scanner. Int J Cardiol. 2016;221:970–6. 10.1016/j.ijcard.2016.07.141. [DOI] [PubMed] [Google Scholar]
- 50.Lubbers M, Coenen A, Bruning T, Galema T, Akkerhuis J, Krenning B, et al. Sex differences in the performance of cardiac computed tomography compared with functional testing in evaluating stable chest pain: subanalysis of the multicenter, randomized CRESCENT trial (calcium imaging and selective CT angiography in comparison to functional testing for suspected coronary artery disease). Circulation Cardiovascular imaging. 2017;10. 10.1161/circimaging.116.005295. [DOI] [PubMed]
- 51.Williams MC, Kwiecinski J, Doris M, McElhinney P, D’Souza MS, Cadet S, et al. Low-attenuation noncalcified plaque on coronary computed tomography angiography predicts myocardial infarction: results from the multicenter SCOT-HEART trial (Scottish Computed Tomography of the HEART). Circulation. 2020;141:1452–62. 10.1161/circulationaha.119.044720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Blaha MJ, Nasir K, Rivera JJ, Choi EK, Chang SA, Yoon YE, et al. Gender differences in coronary plaque composition by coronary computed tomography angiography. Coron Artery Dis. 2009;20:506–12. 10.1097/MCA.0b013e328331368d. [DOI] [PubMed] [Google Scholar]
- 53.Williams MC, Kwiecinski J, Doris M, McElhinney P, D’Souza MS, Cadet S, et al. Sex-specific computed tomography coronary plaque characterization and risk of myocardial infarction. JACC Cardiovasc Imaging. 2021;14:1804–14. 10.1016/j.jcmg.2021.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Ferencik M, Mayrhofer T, Bittner DO, Emami H, Puchner SB, Lu MT, et al. Use of high-risk coronary atherosclerotic plaque detection for risk stratification of patients with stable chest pain: a secondary analysis of the PROMISE randomized clinical trial. JAMA Cardiol. 2018;3:144–52. 10.1001/jamacardio.2017.4973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Lee SE, Sung JM, Andreini D, Budoff MJ, Cademartiri F, Chinnaiyan K, et al. Differential association between the progression of coronary artery calcium score and coronary plaque volume progression according to statins: the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging (PARADIGM) study. Eur Heart J Cardiovasc Imaging. 2019;20:1307–14. 10.1093/ehjci/jez022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Williams MC, Hunter A, Shah ASV, Assi V, Lewis S, Smith J, et al. Use of coronary computed tomographic angiography to guide management of patients with coronary disease. J Am Coll Cardiol. 2016;67:1759–68. 10.1016/j.jacc.2016.02.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Dawson LP, Lum M, Nerleker N, Nicholls SJ, Layland J. Coronary atherosclerotic plaque regression: JACC state-of-the-art review. J Am Coll Cardiol. 2022;79:66–82. 10.1016/j.jacc.2021.10.035. [DOI] [PubMed] [Google Scholar]
- 58.Voros S, Rivera JJ, Berman DS, Blankstein R, Budoff MJ, Cury RC, et al. Guideline for minimizing radiation exposure during acquisition of coronary artery calcium scans with the use of multidetector computed tomography: a report by the Society for Atherosclerosis Imaging and Prevention Tomographic Imaging and Prevention Councils in collaboration with the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2011;5:75–83. 10.1016/j.jcct.2011.01.003. [DOI] [PubMed] [Google Scholar]
- 59.Kelkar AA, Schultz WM, Khosa F, Schulman-Marcus J, O’Hartaigh BW, Gransar H, et al. Long-term prognosis after coronary artery calcium scoring among low-intermediate risk women and men. Circ Cardiovasc Imaging. 2016;9:e003742. 10.1161/circimaging.115.003742. [DOI] [PubMed] [Google Scholar]
- 60.Shaw LJ, Min JK, Nasir K, Xie JX, Berman DS, Miedema MD, et al. Sex differences in calcified plaque and long-term cardiovascular mortality: observations from the CAC Consortium. Eur Heart J. 2018;39:3727–35. 10.1093/eurheartj/ehy534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Lee SE, Sung JM, Andreini D, Al-Mallah MH, Budoff MJ, Cademartiri F, et al. Sex differences in compositional plaque volume progression in patients with coronary artery disease. JACC Cardiovasc Imaging. 2020;13:2386–96. 10.1016/j.jcmg.2020.06.034. [DOI] [PubMed] [Google Scholar]
- 62.Yoon YE, Kim KM, Han JS, Kang SH, Chun EJ, Ahn S, et al. Prediction of subclinical coronary artery disease with breast arterial calcification and low bone mass in asymptomatic women: registry for the women health cohort for the BBC study. JACC Cardiovasc Imaging. 2019;12:1202–11. 10.1016/j.jcmg.2018.07.004. [DOI] [PubMed] [Google Scholar]
- 63.Abdelrahman KM, Chen MY, Dey AK, Virmani R, Finn AV, Khamis RY, et al. Coronary computed tomography angiography from clinical uses to emerging technologies: JACC state-of-the-art review. J Am Coll Cardiol. 2020;76:1226–43. 10.1016/j.jacc.2020.06.076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Penagaluri A, Higgins AY, Vavere AL, Miller JM, Arbab-Zadeh A, Betoko A, et al. Computed tomographic perfusion improves diagnostic power of coronary computed tomographic angiography in women: analysis of the CORE320 trial (coronary artery evaluation using 320-row multidetector computed tomography angiography and myocardial perfusion) According to Gender. Circ Cardiovasc Imaging. 2016;9. 10.1161/circimaging.116.005189. [DOI] [PubMed]
- 65.Fairbairn TA, Dobson R, Hurwitz-Koweek L, Matsuo H, Norgaard BL, Rønnow Sand NP, et al. Sex differences in coronary computed tomography angiography-derived fractional flow reserve: lessons from ADVANCE. JACC Cardiovasc Imaging. 2020;13:2576–87. 10.1016/j.jcmg.2020.07.008. [DOI] [PubMed] [Google Scholar]
- 66.Gimelli A, Achenbach S, Buechel RR, Edvardsen T, Francone M, Gaemperli O, et al. Strategies for radiation dose reduction in nuclear cardiology and cardiac computed tomography imaging: a report from the European Association of Cardiovascular Imaging (EACVI), the Cardiovascular Committee of European Association of Nuclear Medicine (EANM), and the European Society of Cardiovascular Radiology (ESCR). Eur Heart J. 2018;39:286–96. 10.1093/eurheartj/ehx582. [DOI] [PubMed] [Google Scholar]
- 67.Lawler PR, Afilalo J, Eisenberg MJ, Pilote L. Comparison of cancer risk associated with low-dose ionizing radiation from cardiac imaging and therapeutic procedures after acute myocardial infarction in women versus men. Am J Cardiol. 2013;112:1545–50. 10.1016/j.amjcard.2013.07.009. [DOI] [PubMed] [Google Scholar]
- 68.Messerli M, Panadero AL, Giannopoulos AA, Schwyzer M, Benz DC, Gräni C, et al. Enhanced radiation exposure associated with anterior-posterior x-ray tube position in young women undergoing cardiac computed tomography. Am Heart J. 2019;215:91–4. 10.1016/j.ahj.2019.05.006. [DOI] [PubMed] [Google Scholar]
- 69.Ordovas KG, Baldassarre LA, Bucciarelli-Ducci C, Carr J, Fernandes JL, Ferreira VM, et al. Cardiovascular magnetic resonance in women with cardiovascular disease: position statement from the Society for Cardiovascular Magnetic Resonance (SCMR). J Cardiovasc Magn Reson : Off J Soc for Cardiovasc Magn Reson. 2021;23:52. 10.1186/s12968-021-00746-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Greenwood JP, Maredia N, Younger JF, Brown JM, Nixon J, Everett CC, et al. Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial. Lancet (London, England). 2012;379:453–60. 10.1016/s0140-6736(11)61335-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Schwitter J, Wacker CM, Wilke N, Al-Saadi N, Sauer E, Huettle K, et al. Superior diagnostic performance of perfusion-cardiovascular magnetic resonance versus SPECT to detect coronary artery disease: The secondary endpoints of the multicenter multivendor MR-IMPACT II (Magnetic Resonance Imaging for Myocardial Perfusion Assessment in Coronary Artery Disease Trial). J Cardiovasc Magn Reson : Off J Soc for Cardiovasc Magn Reson. 2012;14:61. 10.1186/1532-429x-14-61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Motwani M, Swoboda PP, Plein S, Greenwood JP. Role of cardiovascular magnetic resonance in the management of patients with stable coronary artery disease. Heart (British Cardiac Society). 2018;104:888–94. 10.1136/heartjnl-2017-311658. [DOI] [PubMed] [Google Scholar]
- 73.Cerqueira MD, Nguyen P, Staehr P, Underwood SR, Iskandrian AE. Effects of age, gender, obesity, and diabetes on the efficacy and safety of the selective A2A agonist regadenoson versus adenosine in myocardial perfusion imaging integrated ADVANCE-MPI trial results. JACC Cardiovasc Imaging. 2008;1:307–16. 10.1016/j.jcmg.2008.02.003. [DOI] [PubMed] [Google Scholar]
- 74.Rahman H, Scannell CM, Demir OM, Ryan M, McConkey H, Ellis H, et al. High-resolution cardiac magnetic resonance imaging techniques for the identification of coronary microvascular dysfunction. JACC Cardiovasc Imaging. 2021;14:978–86. 10.1016/j.jcmg.2020.10.015. [DOI] [PubMed] [Google Scholar]
- 75.Canali E, Masci P, Bogaert J, Bucciarelli Ducci C, Francone M, McAlindon E, et al. Impact of gender differences on myocardial salvage and post-ischaemic left ventricular remodelling after primary coronary angioplasty: new insights from cardiovascular magnetic resonance. Eur Heart J Cardiovasc Imaging. 2012;13:948–53. 10.1093/ehjci/jes087. [DOI] [PubMed] [Google Scholar]
- 76.Garg P, Broadbent DA, Swoboda PP, Foley JRJ, Fent GJ, Musa TA, et al. Extra-cellular expansion in the normal, non-infarcted myocardium is associated with worsening of regional myocardial function after acute myocardial infarction. J Cardiovasc Magn Reson. 2017;19:73. 10.1186/s12968-017-0384-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Alkhalil M, Borlotti A, De Maria GL, Gaughran L, Langrish J, Lucking A, et al. Dynamic changes in injured myocardium, very early after acute myocardial infarction, quantified using T1 mapping cardiovascular magnetic resonance. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. 2018;20:82. 10.1186/s12968-018-0506-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Kali A, Choi EY, Sharif B, Kim YJ, Bi X, Spottiswoode B, et al. Native T1 mapping by 3-T CMR imaging for characterization of chronic myocardial infarctions. JACC Cardiovasc Imaging. 2015;8:1019–30. 10.1016/j.jcmg.2015.04.018. [DOI] [PubMed] [Google Scholar]
- 79.Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P, et al. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson. 2017;19:75. 10.1186/s12968-017-0389-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Kim RJ, Albert TS, Wible JH, Elliott MD, Allen JC, Lee JC, et al. Performance of delayed-enhancement magnetic resonance imaging with gadoversetamide contrast for the detection and assessment of myocardial infarction: an international, multicenter, double-blinded, randomized trial. Circulation. 2008;117:629–37. 10.1161/circulationaha.107.723262. [DOI] [PubMed] [Google Scholar]
- 81.Puntmann VO, Peker E, Chandrashekhar Y, Nagel E. T1 mapping in characterizing myocardial disease: a comprehensive review. Circ Res. 2016;119:277–99. 10.1161/circresaha.116.307974. [DOI] [PubMed] [Google Scholar]
- 82.Reynolds HR, Maehara A, Kwong RY, Sedlak T, Saw J, Smilowitz NR, et al. Coronary optical coherence tomography and cardiac magnetic resonance imaging to determine underlying causes of myocardial infarction with nonobstructive coronary arteries in women. Circulation. 2021;143:624–40. 10.1161/circulationaha.120.052008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Sörensson P, Ekenbäck C, Lundin M, Agewall S, Bacsovics Brolin E, Caidahl K, et al. Early comprehensive cardiovascular magnetic resonance imaging in patients with myocardial infarction with nonobstructive coronary arteries. JACC Cardiovasc Imaging. 2021;14:1774–83. 10.1016/j.jcmg.2021.02.021. [DOI] [PubMed] [Google Scholar]
- 84.Aikawa Y, Noguchi T, Morita Y, Tateishi E, Kono A, Miura H, et al. Clinical impact of native T1 mapping for detecting myocardial impairment in takotsubo cardiomyopathy. Eur Heart J Cardiovasc Imaging. 2019;20:1147–55. 10.1093/ehjci/jez034. [DOI] [PubMed] [Google Scholar]
- 85.Roy C, Slimani A, de Meester C, Amzulescu M, Pasquet A, Vancraeynest D, et al. Age and sex corrected normal reference values of T1, T2 T2* and ECV in healthy subjects at 3T CMR. J Cardiovasc Magn Reson : Off J Soc for Cardiovasc Magn Reson. 2017;19:72. 10.1186/s12968-017-0371-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Ito A, Yamagiwa H, Sasaki R. Effects of aging on hydroxyproline in human heart muscle. J Am Geriatr Soc. 1980;28:398–404. 10.1111/j.1532-5415.1980.tb01106.x. [DOI] [PubMed] [Google Scholar]
- 87.Patel AR, Salerno M, Kwong RY, Singh A, Heydari B, Kramer CM. Stress cardiac magnetic resonance myocardial perfusion imaging: JACC review topic of the week. J Am Coll Cardiol. 2021;78:1655–68. 10.1016/j.jacc.2021.08.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Mieres JH, Gulati M, Bairey Merz N, Berman DS, Gerber TC, Hayes SN, et al. Role of noninvasive testing in the clinical evaluation of women with suspected ischemic heart disease: a consensus statement from the American Heart Association. Circulation. 2014;130:350–79. 10.1161/cir.0000000000000061. [DOI] [PubMed] [Google Scholar]
- 89.Napp AE, Enders J, Roehle R, Diederichs G, Rief M, Zimmermann E, et al. Analysis and prediction of claustrophobia during MR imaging with the claustrophobia questionnaire: an observational prospective 18-month single-center study of 6500 patients. Radiology. 2017;283:148–57. 10.1148/radiol.2016160476. [DOI] [PubMed] [Google Scholar]
- 90.Taqueti VR, Dorbala S, Wolinsky D, Abbott B, Heller GV, Bateman TM, et al. Myocardial perfusion imaging in women for the evaluation of stable ischemic heart disease-state-of-the-evidence and clinical recommendations. J Nucl Cardiol : Off Publ American Soc Nucl Cardiol. 2017;24:1402–26. 10.1007/s12350-017-0926-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Iskandar A, Limone B, Parker MW, Perugini A, Kim H, Jones C, et al. Gender differences in the diagnostic accuracy of SPECT myocardial perfusion imaging: a bivariate meta-analysis. J Nucl Cardiol : Off Publ American Soc Nucl Cardiol. 2013;20:53–63. 10.1007/s12350-012-9646-2. [DOI] [PubMed] [Google Scholar]
- 92.Cassar A, Chareonthaitawee P, Rihal CS, Prasad A, Lennon RJ, Lerman LO, et al. Lack of correlation between noninvasive stress tests and invasive coronary vasomotor dysfunction in patients with nonobstructive coronary artery disease. Circ Cardiovasc Interv. 2009;2:237–44. 10.1161/circinterventions.108.841056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Burrell S, MacDonald A. Artifacts and pitfalls in myocardial perfusion imaging. Journal of nuclear medicine technology. 2006;34:193–211; quiz 2–4. [PubMed]
- 94.Garuba HA, Erthal F, Stadnick E, Alzahrani A, Chow B, deKemp R, et al. Optimizing risk stratification and noninvasive diagnosis of ischemic heart disease in women. Can J Cardiol. 2018;34:400–12. 10.1016/j.cjca.2018.01.026. [DOI] [PubMed] [Google Scholar]
- 95.Haider A, Possner M, Messerli M, Bengs S, Osto E, Maredziak M, et al. Quantification of intrathoracic fat adds prognostic value in women undergoing myocardial perfusion imaging. Int J Cardiol. 2019;292:258–64. 10.1016/j.ijcard.2019.04.092. [DOI] [PubMed] [Google Scholar]
- 96.Einstein AJ, Pascual TN, Mercuri M, Karthikeyan G, Vitola JV, Mahmarian JJ, et al. Current worldwide nuclear cardiology practices and radiation exposure: results from the 65 country IAEA Nuclear Cardiology Protocols Cross-Sectional Study (INCAPS). Eur Heart J. 2015;36:1689–96. 10.1093/eurheartj/ehv117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Fazel R, Gerber TC, Balter S, Brenner DJ, Carr JJ, Cerqueira MD, et al. Approaches to enhancing radiation safety in cardiovascular imaging: a scientific statement from the American Heart Association. Circulation. 2014;130:1730–48. 10.1161/cir.0000000000000048. [DOI] [PubMed] [Google Scholar]
- 98.Baumgarten R, Cerci RJ, de Nadai CA, Pereira-Neto CC, Prado P, Zapparoli M, et al. Radiation exposure after myocardial perfusion imaging with Cadmium-Zinc-Telluride camera versus conventional camera. J Nucl Cardiol. 2021;28:992–9. 10.1007/s12350-020-02146-9. [DOI] [PubMed] [Google Scholar]
- 99.Mannarino T, Assante R, Ricciardi C, Zampella E, Nappi C, Gaudieri V, et al. Head-to-head comparison of diagnostic accuracy of stress-only myocardial perfusion imaging with conventional and cadmium-zinc telluride single-photon emission computed tomography in women with suspected coronary artery disease. J Nucl Cardiol : Off Publ American Soc Nucl Cardiol. 2021;28:888–97. 10.1007/s12350-019-01789-7. [DOI] [PubMed] [Google Scholar]
- 100.Einstein AJ, Berman DS, Min JK, Hendel RC, Gerber TC, Carr JJ, et al. Patient-centered imaging: shared decision making for cardiac imaging procedures with exposure to ionizing radiation. J Am Coll Cardiol. 2014;63:1480–9. 10.1016/j.jacc.2013.10.092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Schindler TH, Dilsizian V. Coronary microvascular dysfunction: clinical considerations and noninvasive diagnosis. JACC Cardiovasc Imaging. 2020;13:140–55. 10.1016/j.jcmg.2018.11.036. [DOI] [PubMed] [Google Scholar]
- 102.Han SH, Bae JH, Holmes DR Jr, Lennon RJ, Eeckhout E, Barsness GW, et al. Sex differences in atheroma burden and endothelial function in patients with early coronary atherosclerosis. Eur Heart J. 2008;29:1359–69. 10.1093/eurheartj/ehn142. [DOI] [PubMed] [Google Scholar]
- 103.Gebhard C, Fiechter M, Herzog BA, Lohmann C, Bengs S, Treyer V, et al. Sex differences in the long-term prognostic value of (13)N-ammonia myocardial perfusion positron emission tomography. Eur J Nucl Med Mol Imaging. 2018;45:1964–74. 10.1007/s00259-018-4046-8. [DOI] [PubMed] [Google Scholar]
- 104.Wu KY, Timmerman NP, McPhedran R, Hossain A, Beanlands RSB, Chong AY, et al. Differential association of diabetes mellitus and female sex with impaired myocardial flow reserve across the spectrum of epicardial coronary disease. Eur Heart J Cardiovasc Imaging. 2020;21:576–84. 10.1093/ehjci/jez163. [DOI] [PubMed] [Google Scholar]
- 105.Haider A, Bengs S, Maredziak M, Messerli M, Fiechter M, Giannopoulos AA, et al. Heart rate reserve during pharmacological stress is a significant negative predictor of impaired coronary flow reserve in women. Eur J Nucl Med Mol Imaging. 2019;46:1257–67. 10.1007/s00259-019-4265-7. [DOI] [PubMed] [Google Scholar]
- 106.Moody JB, Poitrasson-Rivière A, Hagio T, Buckley C, Weinberg RL, Corbett JR, et al. Added value of myocardial blood flow using (18)F-flurpiridaz PET to diagnose coronary artery disease: the flurpiridaz 301 trial. J Nucl Cardiol. 2021;28:2313–29. 10.1007/s12350-020-02034-2. [DOI] [PubMed] [Google Scholar]
- 107.Maddahi J, Lazewatsky J, Udelson JE, Berman DS, Beanlands RSB, Heller GV, et al. Phase-III clinical trial of fluorine-18 flurpiridaz positron emission tomography for evaluation of coronary artery disease. J Am Coll Cardiol. 2020;76:391–401. 10.1016/j.jacc.2020.05.063. [DOI] [PubMed] [Google Scholar]
- 108.Packard RRS, Lazewatsky JL, Orlandi C, Maddahi J. Diagnostic performance of PET versus SPECT myocardial perfusion imaging in patients with smaller left ventricles: a substudy of the (18)F-flurpiridaz phase III clinical trial. J Nucl Med. 2021;62:849–54. 10.2967/jnumed.120.252007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Hyafil F, Chequer R, Sorbets E, Estellat C, Ducrocq G, Rouzet F, et al. Head-to-head comparison of the diagnostic performances of Rubidium-PET and SPECT with CZT camera for the detection of myocardial ischemia in a population of women and overweight individuals. J Nucl Cardiol : Off Publ American Soc Nucl Cardiol. 2020;27:755–68. 10.1007/s12350-018-01557-z. [DOI] [PubMed] [Google Scholar]
- 110.Høilund-Carlsen PF, Sturek M, Alavi A, Gerke O. Atherosclerosis imaging with (18)F-sodium fluoride PET: state-of-the-art review. Eur J Nucl Med Mol Imaging. 2020;47:1538–51. 10.1007/s00259-019-04603-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Bellinge JW, Francis RJ, Lee SC, Phillips M, Rajwani A, Lewis JR, et al. (18)F-Sodium fluoride positron emission tomography activity predicts the development of new coronary artery calcifications. Arterioscler Thromb Vasc Biol. 2021;41:534–41. 10.1161/atvbaha.120.315364. [DOI] [PubMed] [Google Scholar]
- 112.Ferreira MJV, Oliveira-Santos M, Silva R, Gomes A, Ferreira N, Abrunhosa A, et al. Assessment of atherosclerotic plaque calcification using F18-NaF PET-CT. J Nucl Cardiol. 2018;25:1733–41. 10.1007/s12350-016-0776-9. [DOI] [PubMed] [Google Scholar]
- 113.Lam CSP, Solomon SD. Classification of heart failure according to ejection fraction: JACC review topic of the week. J Am Coll Cardiol. 2021;77:3217–25. 10.1016/j.jacc.2021.04.070. [DOI] [PubMed] [Google Scholar]
- 114.McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42:3599–726. 10.1093/eurheartj/ehab368. [DOI] [PubMed] [Google Scholar]
- 115.Gebhard C, Buechel RR, Stähli BE, Gransar H, Achenbach S, Berman DS, et al. Impact of age and sex on left ventricular function determined by coronary computed tomographic angiography: results from the prospective multicentre CONFIRM study. Eur Heart J Cardiovasc Imaging. 2017;18:990–1000. 10.1093/ehjci/jew142. [DOI] [PubMed] [Google Scholar]
- 116.Chung AK, Das SR, Leonard D, Peshock RM, Kazi F, Abdullah SM, et al. Women have higher left ventricular ejection fractions than men independent of differences in left ventricular volume: the Dallas Heart Study. Circulation. 2006;113:1597–604. 10.1161/circulationaha.105.574400. [DOI] [PubMed] [Google Scholar]
- 117.Gebhard C, Maredziak M, Messerli M, Buechel RR, Lin F, Gransar H, et al. Increased long-term mortality in women with high left ventricular ejection fraction: data from the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) long-term registry. Eur Heart J Cardiovasc Imaging. 2020;21:363–74. 10.1093/ehjci/jez321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Maredziak M, Bengs S, Portmann A, Haider A, Wijnen WJ, Warnock GI, et al. Microvascular dysfunction and sympathetic hyperactivity in women with supra-normal left ventricular ejection fraction (snLVEF). Eur J Nucl Med Mol Imaging. 2020;47:3094–106. 10.1007/s00259-020-04892-x. [DOI] [PubMed] [Google Scholar]
- 119.van Riet EE, Hoes AW, Wagenaar KP, Limburg A, Landman MA, Rutten FH. Epidemiology of heart failure: the prevalence of heart failure and ventricular dysfunction in older adults over time. A systematic review. European journal of heart failure. 2016;18:242–52. 10.1002/ejhf.483. [DOI] [PubMed]
- 120.Pieske B, Tschöpe C, de Boer RA, Fraser AG, Anker SD, Donal E, et al. How to diagnose heart failure with preserved ejection fraction: the HFA-PEFF diagnostic algorithm: a consensus recommendation from the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). Eur Heart J. 2019;40:3297–317. 10.1093/eurheartj/ehz641. [DOI] [PubMed] [Google Scholar]
- 121.Paulus WJ, Tschöpe C. A novel paradigm for heart failure with preserved ejection fraction: comorbidities drive myocardial dysfunction and remodeling through coronary microvascular endothelial inflammation. J Am Coll Cardiol. 2013;62:263–71. 10.1016/j.jacc.2013.02.092. [DOI] [PubMed] [Google Scholar]
- 122.Sun J, Tai S, Guo Y, Tang L, Yang H, Li X, et al. Sex differences in characteristics and outcomes in elderly heart failure patients with preserved ejection fraction: a post-hoc analysis from TOPCAT. Frontiers in cardiovascular medicine. 2021;8:721850. 10.3389/fcvm.2021.721850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Ghadri JR, Wittstein IS, Prasad A, Sharkey S, Dote K, Akashi YJ, et al. International expert consensus document on Takotsubo syndrome (part i): clinical characteristics, diagnostic criteria, and pathophysiology. Eur Heart J. 2018;39:2032–46. 10.1093/eurheartj/ehy076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Lyon AR, Citro R, Schneider B, Morel O, Ghadri JR, Templin C, et al. Pathophysiology of Takotsubo syndrome: JACC state-of-the-art review. J Am Coll Cardiol. 2021;77:902–21. 10.1016/j.jacc.2020.10.060. [DOI] [PubMed] [Google Scholar]
- 125.Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JG, Coats AJ, et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. European journal of heart failure. 2016;18:891–975. 10.1002/ejhf.592. [DOI] [PubMed]
- 126.Čelutkienė J, Lainscak M, Anderson L, Gayat E, Grapsa J, Harjola VP, et al. Imaging in patients with suspected acute heart failure: timeline approach position statement on behalf of the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2020;22:181–95. 10.1002/ejhf.1678. [DOI] [PubMed] [Google Scholar]
- 127.Gimelli A, Lancellotti P, Badano LP, Lombardi M, Gerber B, Plein S, et al. Non-invasive cardiac imaging evaluation of patients with chronic systolic heart failure: a report from the European Association of Cardiovascular Imaging (EACVI). Eur Heart J. 2014;35:3417–25. 10.1093/eurheartj/ehu433. [DOI] [PubMed] [Google Scholar]
- 128.Sonaglioni A, Nicolosi GL, Rigamonti E, Lombardo M, Gensini GF, Ambrosio G. Does chest shape influence exercise stress echocardiographic results in patients with suspected coronary artery disease? Intern Emerg Med. 202110.1007/s11739-021-02773-1 [DOI] [PubMed]
- 129.Nagueh SF, Chang SM, Nabi F, Shah DJ, Estep JD. Imaging to diagnose and manage patients in heart failure with reduced ejection fraction. Circ Cardiovasc Imaging. 2017;10. 10.1161/circimaging.116.005615. [DOI] [PubMed]
- 130.Nagueh SF, Chang SM, Nabi F, Shah DJ, Estep JD. Cardiac imaging in patients with heart failure and preserved ejection fraction. Circ Cardiovasc Imaging. 2017;10. 10.1161/circimaging.117.006547. [DOI] [PubMed]
- 131.Le Ven F, Bibeau K, De Larochellière É, Tizón-Marcos H, Deneault-Bissonnette S, Pibarot P, et al. Cardiac morphology and function reference values derived from a large subset of healthy young Caucasian adults by magnetic resonance imaging. Eur Heart J Cardiovasc Imaging. 2016;17:981–90. 10.1093/ehjci/jev217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Hesse B, Lindhardt TB, Acampa W, Anagnostopoulos C, Ballinger J, Bax JJ, et al. EANM/ESC guidelines for radionuclide imaging of cardiac function. Eur J Nucl Med Mol Imaging. 2008;35:851–85. 10.1007/s00259-007-0694-9. [DOI] [PubMed] [Google Scholar]
- 133.Huang H, Nijjar PS, Misialek JR, Blaes A, Derrico NP, Kazmirczak F, et al. Accuracy of left ventricular ejection fraction by contemporary multiple gated acquisition scanning in patients with cancer: comparison with cardiovascular magnetic resonance. J Cardiovasc Magn Reson : Off J of Soc Cardiovas Magn Reson. 2017;19:34. 10.1186/s12968-017-0348-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Greupner J, Zimmermann E, Grohmann A, Dübel HP, Althoff TF, Borges AC, et al. Head-to-head comparison of left ventricular function assessment with 64-row computed tomography, biplane left cineventriculography, and both 2- and 3-dimensional transthoracic echocardiography: comparison with magnetic resonance imaging as the reference standard. J Am Coll Cardiol. 2012;59:1897–907. 10.1016/j.jacc.2012.01.046. [DOI] [PubMed] [Google Scholar]
- 135.Aziz W, Claridge S, Ntalas I, Gould J, de Vecchi A, Razeghi O, et al. Emerging role of cardiac computed tomography in heart failure. ESC heart failure. 2019;6:909–20. 10.1002/ehf2.12479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Farrell MB, Galt JR, Georgoulias P, Malhotra S, Pagnanelli R, Rischpler C, et al. SNMMI procedure standard/EANM guideline for gated equilibrium radionuclide angiography. J Nucl Med Technol. 2020;48:126–35. 10.2967/jnmt.120.246405. [DOI] [PubMed] [Google Scholar]
- 137.Shuman WP, Branch KR, May JM, Mitsumori LM, Lockhart DW, Dubinsky TJ, et al. Prospective versus retrospective ECG gating for 64-detector CT of the coronary arteries: comparison of image quality and patient radiation dose. Radiology. 2008;248:431–7. 10.1148/radiol.2482072192. [DOI] [PubMed] [Google Scholar]
- 138.Reddy YNV, Obokata M, Gersh BJ, Borlaug BA. High prevalence of occult heart failure with preserved ejection fraction among patients with atrial fibrillation and dyspnea. Circulation. 2018;137:534–5. 10.1161/circulationaha.117.030093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Bozkurt B, Coats AJS, Tsutsui H, Abdelhamid CM, Adamopoulos S, Albert N, et al. Universal definition and classification of heart failure: a report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese Heart Failure Society and Writing Committee of the Universal Definition of Heart Failure: Endorsed by the Canadian Heart Failure Society, Heart Failure Association of India, Cardiac Society of Australia and New Zealand, and Chinese Heart Failure Association. Eur J Heart Fail. 2021;23:352–80. 10.1002/ejhf.2115. [DOI] [PubMed] [Google Scholar]
- 140.Paeng JC, Choi JY. Nuclear imaging for cardiac amyloidosis: bone scan, SPECT/CT, and amyloid-targeting PET. Nucl Med Mol Imaging. 2021;55:61–70. 10.1007/s13139-020-00681-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Bozkurt B, Colvin M, Cook J, Cooper LT, Deswal A, Fonarow GC, et al. Current diagnostic and treatment strategies for specific dilated cardiomyopathies: a scientific statement from the American Heart Association. Circulation. 2016;134:e579–646. 10.1161/cir.0000000000000455. [DOI] [PubMed] [Google Scholar]
- 142.Chambers JB, Garbi M, Nieman K, Myerson S, Pierard LA, Habib G, et al. Appropriateness criteria for the use of cardiovascular imaging in heart valve disease in adults: a European Association of Cardiovascular Imaging report of literature review and current practice. Eur Heart J Cardiovasc Imaging. 2017;18:489–98. 10.1093/ehjci/jew309. [DOI] [PubMed] [Google Scholar]
- 143.Patel AR, Kramer CM. Role of cardiac magnetic resonance in the diagnosis and prognosis of nonischemic cardiomyopathy. JACC Cardiovasc Imaging. 2017;10:1180–93. 10.1016/j.jcmg.2017.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Haugaa KH, Basso C, Badano LP, Bucciarelli-Ducci C, Cardim N, Gaemperli O, et al. Comprehensive multi-modality imaging approach in arrhythmogenic cardiomyopathy-an expert consensus document of the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2017;18:237–53. 10.1093/ehjci/jew229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Ghadri JR, Wittstein IS, Prasad A, Sharkey S, Dote K, Akashi YJ, et al. International expert consensus document on Takotsubo syndrome (part ii): diagnostic workup, outcome, and management. Eur Heart J. 2018;39:2047–62. 10.1093/eurheartj/ehy077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Citro R, Okura H, Ghadri JR, Izumi C, Meimoun P, Izumo M, et al. Multimodality imaging in takotsubo syndrome: a joint consensus document of the European Association of Cardiovascular Imaging (EACVI) and the Japanese Society of Echocardiography (JSE). Eur Heart J Cardiovasc Imaging. 2020;21:1184–207. 10.1093/ehjci/jeaa149. [DOI] [PubMed] [Google Scholar]
- 147.Manabe O, Naya M, Oyama-Manabe N, Koyanagawa K, Tamaki N. The role of multimodality imaging in takotsubo cardiomyopathy. J Nucl Cardiol. 2019;26:1602–16. 10.1007/s12350-018-1312-x. [DOI] [PubMed] [Google Scholar]
- 148.Silversides CK, Grewal J, Mason J, Sermer M, Kiess M, Rychel V, et al. Pregnancy outcomes in women with heart disease: the CARPREG II study. J Am Coll Cardiol. 2018;71:2419–30. 10.1016/j.jacc.2018.02.076. [DOI] [PubMed] [Google Scholar]
- 149.Ramlakhan KP, Johnson MR, Roos-Hesselink JW. Pregnancy and cardiovascular disease. Nat Rev Cardiol. 2020;17:718–31. 10.1038/s41569-020-0390-z. [DOI] [PubMed] [Google Scholar]
- 150.Keepanasseril A, Pfaller B, Metcalfe A, Siu SC, Davis MB, Silversides CK. Cardiovascular deaths in pregnancy: growing concerns and preventive strategies. Can J Cardiol. 2021;37:1969–78. 10.1016/j.cjca.2021.09.022. [DOI] [PubMed] [Google Scholar]
- 151.Moutos CP, Ly P, Moutos DM, Clark SM. Pregnancy After 40: Recommendations for counseling, evaluation, and management from preconception to delivery. Obstet Gynecol Surv. 2022;77:111–21. 10.1097/ogx.0000000000000967. [DOI] [PubMed] [Google Scholar]
- 152.Parikh NI, Gonzalez JM, Anderson CAM, Judd SE, Rexrode KM, Hlatky MA, et al. Adverse pregnancy outcomes and cardiovascular disease risk: unique opportunities for cardiovascular disease prevention in women: a scientific statement from the American Heart Association. Circulation. 2021;143:e902–16. 10.1161/cir.0000000000000961. [DOI] [PubMed] [Google Scholar]
- 153.Mehta LS, Warnes CA, Bradley E, Burton T, Economy K, Mehran R, et al. Cardiovascular considerations in caring for pregnant patients: a scientific statement from the American Heart Association. Circulation. 2020;141:e884–903. 10.1161/cir.0000000000000772. [DOI] [PubMed] [Google Scholar]
- 154.Sliwa K, van der Meer P, Petrie MC, Frogoudaki A, Johnson MR, Hilfiker-Kleiner D, et al. Risk stratification and management of women with cardiomyopathy/heart failure planning pregnancy or presenting during/after pregnancy: a position statement from the Heart Failure Association of the European Society of Cardiology Study Group on Peripartum Cardiomyopathy. Eur J Heart Fail. 2021;23:527–40. 10.1002/ejhf.2133. [DOI] [PubMed] [Google Scholar]
- 155.van Hagen IM, Boersma E, Johnson MR, Thorne SA, Parsonage WA, Escribano Subías P, et al. Global cardiac risk assessment in the Registry Of Pregnancy And Cardiac disease: results of a registry from the European Society of Cardiology. Eur J Heart Fail. 2016;18:523–33. 10.1002/ejhf.501. [DOI] [PubMed] [Google Scholar]
- 156.Mattsson S, Leide-Svegborn S, Andersson M. X-ray and molecular imaging during pregnancy and breastfeeding-when should we be worried? Radiat Prot Dosimetry. 2021. 10.1093/rpd/ncab041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Morton A. Physiological changes and cardiovascular investigations in pregnancy. Heart Lung Circ. 2021;30:e6–15. 10.1016/j.hlc.2020.10.001. [DOI] [PubMed] [Google Scholar]
- 158.Gati S, Papadakis M, Papamichael ND, Zaidi A, Sheikh N, Reed M, et al. Reversible de novo left ventricular trabeculations in pregnant women: implications for the diagnosis of left ventricular noncompaction in low-risk populations. Circulation. 2014;130:475–83. 10.1161/circulationaha.114.008554. [DOI] [PubMed] [Google Scholar]
- 159.Hurwitz LM, Reiman RE, Yoshizumi TT, Goodman PC, Toncheva G, Nguyen G, et al. Radiation dose from contemporary cardiothoracic multidetector CT protocols with an anthropomorphic female phantom: implications for cancer induction. Radiology. 2007;245:742–50. 10.1148/radiol.2453062046. [DOI] [PubMed] [Google Scholar]
- 160.Lowe SA. Ionizing radiation for maternal medical indications. Prenat Diagn. 2020;40:1150–5. 10.1002/pd.5592. [DOI] [PubMed] [Google Scholar]
- 161.Herrey AS, Francis JM, Hughes M, Ntusi NAB. Cardiovascular magnetic resonance can be undertaken in pregnancy and guide clinical decision-making in this patient population. Eur Heart J Cardiovasc Imaging. 2019;20:291–7. 10.1093/ehjci/jey162. [DOI] [PubMed] [Google Scholar]
- 162.Committee Opinion No. 723 Summary: guidelines for diagnostic imaging during pregnancy and lactation. Obstet Gynecol. 2017;130:933–4. 10.1097/aog.0000000000002350. [DOI] [PubMed] [Google Scholar]
- 163.Protection IICoR. ICRP, 2000. Pregnancy and medical radiation. ICRP Publication 84. Ann. ICRP 30 (1). 2000. [DOI] [PubMed]
- 164.Measurements NNCoRPa. Report No. 174 – preconception and prenatal radiation exposure: health effects and protective guidance (2013). 2013.
- 165.Regitz-Zagrosek V, Roos-Hesselink JW, Bauersachs J, Blomström-Lundqvist C, Cífková R, De Bonis M, et al. 2018 ESC Guidelines for the management of cardiovascular diseases during pregnancy. Eur Heart J. 2018;39:3165–241. 10.1093/eurheartj/ehy340. [DOI] [PubMed] [Google Scholar]
- 166.deKemp RA, Wells RG, Beanlands RS. Women image wisely: the 3 mSv challenge for nuclear cardiology. JACC Cardiovasc Imaging. 2016;9:385–7. 10.1016/j.jcmg.2016.02.018. [DOI] [PubMed] [Google Scholar]
- 167.Litmanovich DE, Tack D, Lee KS, Shahrzad M, Bankier AA. Cardiothoracic imaging in the pregnant patient. J Thorac Imaging. 2014;29:38–49. 10.1097/rti.0000000000000064. [DOI] [PubMed] [Google Scholar]
- 168.Hughes EJ, Price AN, McCabe L, Hiscocks S, Waite L, Green E, et al. The effect of maternal position on venous return for pregnant women during MRI. NMR Biomed. 2021;34:e4475. 10.1002/nbm.4475. [DOI] [PubMed] [Google Scholar]
- 169.Hilfiker-Kleiner D, Sliwa K. Pathophysiology and epidemiology of peripartum cardiomyopathy. Nat Rev Cardiol. 2014;11:364–70. 10.1038/nrcardio.2014.37. [DOI] [PubMed] [Google Scholar]
- 170.Ricke-Hoch M, Pfeffer TJ, Hilfiker-Kleiner D. Peripartum cardiomyopathy: basic mechanisms and hope for new therapies. Cardiovasc Res. 2020;116:520–31. 10.1093/cvr/cvz252. [DOI] [PubMed] [Google Scholar]
- 171.Bauersachs J, König T, van der Meer P, Petrie MC, Hilfiker-Kleiner D, Mbakwem A, et al. Pathophysiology, diagnosis and management of peripartum cardiomyopathy: a position statement from the Heart Failure Association of the European Society of Cardiology Study Group on peripartum cardiomyopathy. Eur J Heart Fail. 2019;21:827–43. 10.1002/ejhf.1493. [DOI] [PubMed] [Google Scholar]
- 172.Davis MB, Arany Z, McNamara DM, Goland S, Elkayam U. Peripartum cardiomyopathy: JACC state-of-the-art review. J Am Coll Cardiol. 2020;75:207–21. 10.1016/j.jacc.2019.11.014. [DOI] [PubMed] [Google Scholar]
- 173.Afonso L, Arora NP, Mahajan N, Kottam A, Ballapuram K, Toosi M, et al. Comparison of patients with peripartum heart failure and normal (≥55%) versus low (<45%) left ventricular ejection fractions. Am J Cardiol. 2014;114:290–3. 10.1016/j.amjcard.2014.04.037. [DOI] [PubMed] [Google Scholar]
- 174.Ware JS, Li J, Mazaika E, Yasso CM, DeSouza T, Cappola TP, et al. Shared genetic predisposition in peripartum and dilated cardiomyopathies. N Engl J Med. 2016;374:233–41. 10.1056/NEJMoa1505517. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.van Spaendonck-Zwarts KY, van Tintelen JP, van Veldhuisen DJ, van der Werf R, Jongbloed JD, Paulus WJ, et al. Peripartum cardiomyopathy as a part of familial dilated cardiomyopathy. Circulation. 2010;121:2169–75. 10.1161/circulationaha.109.929646. [DOI] [PubMed] [Google Scholar]
- 176.Schaufelberger M. Cardiomyopathy and pregnancy. Heart (British Cardiac Society). 2019;105:1543–51. 10.1136/heartjnl-2018-313476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.DeFilippis EM, Haythe JH, Walsh MN, Kittleson MM. Intersection of heart failure and pregnancy: beyond peripartum cardiomyopathy. Circ Heart Fail. 2021;14:e008223. 10.1161/circheartfailure.120.008223. [DOI] [PubMed] [Google Scholar]
- 178.Sliwa K, Petrie MC, Hilfiker-Kleiner D, Mebazaa A, Jackson A, Johnson MR, et al. Long-term prognosis, subsequent pregnancy, contraception and overall management of peripartum cardiomyopathy: practical guidance paper from the Heart Failure Association of the European Society of Cardiology Study Group on Peripartum Cardiomyopathy. Eur J Heart Fail. 2018;20:951–62. 10.1002/ejhf.1178. [DOI] [PubMed] [Google Scholar]
- 179.McNamara DM, Elkayam U, Alharethi R, Damp J, Hsich E, Ewald G, et al. Clinical outcomes for peripartum cardiomyopathy in North America: results of the IPAC study (investigations of pregnancy-associated cardiomyopathy). J Am Coll Cardiol. 2015;66:905–14. 10.1016/j.jacc.2015.06.1309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Peters A, Caroline M, Zhao H, Baldwin MR, Forfia PR, Tsai EJ. Initial right ventricular dysfunction severity identifies severe peripartum cardiomyopathy phenotype with worse early and overall outcomes: a 24-year cohort study. Journal of the American Heart Association. 2018;7. 10.1161/jaha.117.008378. [DOI] [PMC free article] [PubMed]
- 181.Ricci F, De Innocentiis C, Verrengia E, Ceriello L, Mantini C, Pietrangelo C, et al. The role of multimodality cardiovascular imaging in peripartum cardiomyopathy. Front Cardiovasc Med. 2020;7:4. 10.3389/fcvm.2020.00004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Ducas RA, Elliott JE, Melnyk SF, Premecz S, daSilva M, Cleverley K, et al. Cardiovascular magnetic resonance in pregnancy: insights from the cardiac hemodynamic imaging and remodeling in pregnancy (CHIRP) study. J Cardiovasc Magn Reson. 2014;16:1. 10.1186/1532-429x-16-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 183.Weinsaft JW, Kim RJ, Ross M, Krauser D, Manoushagian S, LaBounty TM, et al. Contrast-enhanced anatomic imaging as compared to contrast-enhanced tissue characterization for detection of left ventricular thrombus. JACC Cardiovasc Imaging. 2009;2:969–79. 10.1016/j.jcmg.2009.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184.Schelbert EB, Elkayam U, Cooper LT, Givertz MM, Alexis JD, Briller J, et al. Myocardial damage detected by late gadolinium enhancement cardiac magnetic resonance is uncommon in peripartum cardiomyopathy. Journal of the American Heart Association. 2017;6. 10.1161/jaha.117.005472. [DOI] [PMC free article] [PubMed]
- 185.Arora NP, Mohamad T, Mahajan N, Danrad R, Kottam A, Li T, et al. Cardiac magnetic resonance imaging in peripartum cardiomyopathy. Am J Med Sci. 2014;347:112–7. 10.1097/MAJ.0b013e31828155e3. [DOI] [PubMed] [Google Scholar]
- 186.Sliwa K, Bauersachs J, Arany Z, Spracklen TF, Hilfiker-Kleiner D. Peripartum cardiomyopathy: from genetics to management. Eur Heart J. 2021;42:3094–102. 10.1093/eurheartj/ehab458. [DOI] [PubMed] [Google Scholar]
- 187.Hayes SN, Tweet MS, Adlam D, Kim ESH, Gulati R, Price JE, et al. Spontaneous coronary artery dissection: JACC state-of-the-art review. J Am Coll Cardiol. 2020;76:961–84. 10.1016/j.jacc.2020.05.084. [DOI] [PubMed] [Google Scholar]
- 188.Tweet MS, Hayes SN, Codsi E, Gulati R, Rose CH, Best PJM. Spontaneous coronary artery dissection associated with pregnancy. J Am Coll Cardiol. 2017;70:426–35. 10.1016/j.jacc.2017.05.055. [DOI] [PubMed] [Google Scholar]
- 189.Aslam A, Stojanovska J, Khokhar US, Weinberg RL, Ganesh SK, Labounty T, et al. Spontaneous coronary artery dissection: an underdiagnosed clinical entity-a primer for cardiac imagers. Radiographics. 2021;41:1897–915. 10.1148/rg.2021210062. [DOI] [PubMed] [Google Scholar]
- 190.Henson KE, Reulen RC, Winter DL, Bright CJ, Fidler MM, Frobisher C, et al. Cardiac mortality among 200 000 five-year survivors of cancer diagnosed at 15 to 39 years of age: the teenage and young adult cancer survivor study. Circulation. 2016;134:1519–31. 10.1161/circulationaha.116.022514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191.Thavendiranathan P, Negishi T, Somerset E, Negishi K, Penicka M, Lemieux J, et al. Strain-guided management of potentially cardiotoxic cancer therapy. J Am Coll Cardiol. 2021;77:392–401. 10.1016/j.jacc.2020.11.020. [DOI] [PubMed] [Google Scholar]
- 192.Maleszewski JJ, Bois MC, Bois JP, Young PM, Stulak JM, Klarich KW. Neoplasia and the heart: pathological review of effects with clinical and radiological correlation. J Am Coll Cardiol. 2018;72:202–27. 10.1016/j.jacc.2018.05.026. [DOI] [PubMed] [Google Scholar]
- 193.Dobson R, Ghosh AK, Ky B, Marwick T, Stout M, Harkness A, et al. BSE and BCOS guideline for transthoracic echocardiographic assessment of adult cancer patients receiving anthracyclines and/or trastuzumab. JACC CardioOncology. 2021;3:1–16. 10.1016/j.jaccao.2021.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Chen-Scarabelli C, McRee C, Leesar MA, Hage FG, Scarabelli TM. Comprehensive review on cardio-oncology: role of multimodality imaging. J Nucl Cardiol : Off Publ American Soc Nucl Cardiol. 2017;24:906–35. 10.1007/s12350-016-0535-y. [DOI] [PubMed] [Google Scholar]
- 195.Haque R, Shi J, Schottinger JE, Chung J, Avila C, Amundsen B, et al. Cardiovascular disease after aromatase inhibitor use. JAMA Oncol. 2016;2:1590–7. 10.1001/jamaoncol.2016.0429. [DOI] [PubMed] [Google Scholar]
- 196.Lancellotti P, Nkomo VT, Badano LP, Bergler-Klein J, Bogaert J, Davin L, et al. Expert consensus for multi-modality imaging evaluation of cardiovascular complications of radiotherapy in adults: a report from the European Association of Cardiovascular Imaging and the American Society of Echocardiography. J Am Soc of Echocardiogr : Off Publ Am Soc Echocardiogr. 2013;26:1013–32. 10.1016/j.echo.2013.07.005. [DOI] [PubMed] [Google Scholar]
- 197.Čelutkienė J, Pudil R, López-Fernández T, Grapsa J, Nihoyannopoulos P, Bergler-Klein J, et al. Role of cardiovascular imaging in cancer patients receiving cardiotoxic therapies: a position statement on behalf of the Heart Failure Association (HFA), the European Association of Cardiovascular Imaging (EACVI) and the Cardio-Oncology Council of the European Society of Cardiology (ESC). Eur J Heart Fail. 2020;22:1504–24. 10.1002/ejhf.1957. [DOI] [PubMed] [Google Scholar]
- 198.Labib D, Satriano A, Dykstra S, Hansen R, Mikami Y, Guzzardi DG, et al. Effect of active cancer on the cardiac phenotype: a cardiac magnetic resonance imaging-based study of myocardial tissue health and deformation in patients with chemotherapy-naïve cancer. J Am Heart Assoc. 2021;10:e019811. 10.1161/jaha.120.019811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.McGregor PC, Moura FA, Banchs J, Aragam JR. Role of myocardial strain imaging in surveillance and management of cancer therapeutics-related cardiac dysfunction: a systematic review. Echocardiography (Mount Kisco, NY). 2021;38:314–28. 10.1111/echo.14944. [DOI] [PubMed] [Google Scholar]
- 200.Movahed MR. Impairment of echocardiographic acoustic window caused by breast implants. Eur J Echocardiogr. 2008;9:296–7. 10.1016/j.euje.2006.10.006. [DOI] [PubMed] [Google Scholar]
- 201.Chuzi S, Rangarajan V, Jafari L, Vaitenas I, Akhter N. Subcostal view-based longitudinal strain in patients with breast cancer is an alternative to conventional apical view-based longitudinal strain. J Am Soc of Echocardiogr : Off Publ Am Soc Echocardiogr. 2019;32:514-20.e1. 10.1016/j.echo.2018.11.015. [DOI] [PubMed] [Google Scholar]
- 202.O’Quinn R, Ferrari VA, Daly R, Hundley G, Baldassarre LA, Han Y, et al. Cardiac magnetic resonance in cardio-oncology: advantages, importance of expediency, and considerations to navigate pre-authorization. JACC CardioOncology. 2021;3:191–200. 10.1016/j.jaccao.2021.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203.Jordan JH, Vasu S, Morgan TM, D’Agostino RB, Jr., Meléndez GC, Hamilton CA, et al. Anthracycline-associated T1 mapping characteristics are elevated independent of the presence of cardiovascular comorbidities in cancer survivors. Circ Cardiovasc Imaging. 2016;9. 10.1161/circimaging.115.004325. [DOI] [PMC free article] [PubMed]
- 204.Houbois CP, Nolan M, Somerset E, Shalmon T, Esmaeilzadeh M, Lamacie MM, et al. Serial cardiovascular magnetic resonance strain measurements to identify cardiotoxicity in breast cancer: comparison with echocardiography. JACC Cardiovasc Imaging. 2021;14:962–74. 10.1016/j.jcmg.2020.09.039. [DOI] [PubMed] [Google Scholar]
- 205.Giusca S, Korosoglou G, Montenbruck M, Geršak B, Schwarz AK, Esch S, et al. Multiparametric early detection and prediction of cardiotoxicity using myocardial strain, T1 and T2 mapping, and biochemical markers: a longitudinal cardiac resonance imaging study during 2 years of follow-up. Circ Cardiovasc Imaging. 2021;14:e012459. 10.1161/circimaging.121.012459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206.Altaha MA, Nolan M, Marwick TH, Somerset E, Houbois C, Amir E, et al. Can quantitative CMR tissue characterization adequately identify cardiotoxicity during chemotherapy?: impact of temporal and observer variability. JACC Cardiovasc Imaging. 2020;13:951–62. 10.1016/j.jcmg.2019.10.016. [DOI] [PubMed] [Google Scholar]
- 207.Saiki H, Petersen IA, Scott CG, Bailey KR, Dunlay SM, Finley RR, et al. Risk of heart failure with preserved ejection fraction in older women after contemporary radiotherapy for breast cancer. Circulation. 2017;135:1388–96. 10.1161/circulationaha.116.025434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 208.Sreenivasan J, Hooda U, Ranjan P, Jain D. Nuclear imaging for the assessment of cardiotoxicity from chemotherapeutic agents in oncologic disease. Curr Cardiol Rep. 2021;23:65. 10.1007/s11886-021-01493-4. [DOI] [PubMed] [Google Scholar]
- 209.Dhir V, Yan AT, Nisenbaum R, Sloninko J, Connelly KA, Barfett J, et al. Assessment of left ventricular function by CMR versus MUGA scans in breast cancer patients receiving trastuzumab: a prospective observational study. Int J Cardiovasc Imaging. 2019;35:2085–93. 10.1007/s10554-019-01648-z. [DOI] [PubMed] [Google Scholar]
- 210.van den Bogaard VAB, Spoor DS, van der Schaaf A, van Dijk LV, Schuit E, Sijtsema NM, et al. The importance of radiation dose to the atherosclerotic plaque in the left anterior descending coronary artery for radiation-induced cardiac toxicity of breast cancer patients? Int J Radiat Oncol Biol Phys. 2021;110:1350–9. 10.1016/j.ijrobp.2021.03.004. [DOI] [PubMed] [Google Scholar]
- 211.Kim DY, Park MS, Youn JC, Lee S, Choi JH, Jung MH, et al. Development and validation of a risk score model for predicting the cardiovascular outcomes after breast cancer therapy: the CHEMO-RADIAT Score. J Am Heart Assoc. 2021;10:e021931. 10.1161/jaha.121.021931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212.Gal R, van Velzen SGM, Hooning MJ, Emaus MJ, van der Leij F, Gregorowitsch ML, et al. Identification of risk of cardiovascular disease by automatic quantification of coronary artery calcifications on radiotherapy planning CT scans in patients with breast cancer. JAMA Oncol. 2021;7:1024–32. 10.1001/jamaoncol.2021.1144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 213.Haider A, Bengs S, Schade K, Wijnen WJ, Portmann A, Etter D, et al. Myocardial (18)F-FDG uptake pattern for cardiovascular risk stratification in patients undergoing oncologic PET/CT. Journal of clinical medicine. 2020;9. 10.3390/jcm9072279. [DOI] [PMC free article] [PubMed]
- 214.Carlson RG, Mayfield WR, Normann S, Alexander JA. Radiation-associated valvular disease. Chest. 1991;99:538–45. 10.1378/chest.99.3.538. [DOI] [PubMed] [Google Scholar]
- 215.Gujral DM, Lloyd G, Bhattacharyya S. Radiation-induced valvular heart disease. Heart (British Cardiac Society). 2016;102:269–76. 10.1136/heartjnl-2015-308765. [DOI] [PubMed] [Google Scholar]
- 216.van Nimwegen FA, Schaapveld M, Janus CP, Krol AD, Petersen EJ, Raemaekers JM, et al. Cardiovascular disease after Hodgkin lymphoma treatment: 40-year disease risk. JAMA Intern Med. 2015;175:1007–17. 10.1001/jamainternmed.2015.1180. [DOI] [PubMed] [Google Scholar]
- 217.Plana JC, Thavendiranathan P, Bucciarelli-Ducci C, Lancellotti P. Multi-modality imaging in the assessment of cardiovascular toxicity in the cancer patient. JACC Cardiovasc Imaging. 2018;11:1173–86. 10.1016/j.jcmg.2018.06.003. [DOI] [PubMed] [Google Scholar]
- 218.Baumgartner H, Falk V, Bax JJ, De Bonis M, Hamm C, Holm PJ, et al. 2017 ESC/EACTS Guidelines for the management of valvular heart disease. Eur Heart J. 2017;38:2739–91. 10.1093/eurheartj/ehx391. [DOI] [PubMed] [Google Scholar]
- 219.Rosmini S, Aggarwal A, Chen DH, Conibear J, Davies CL, Dey AK, et al. Cardiac computed tomography in cardio-oncology: an update on recent clinical applications. Eur Heart J Cardiovasc Imaging. 2021;22:397–405. 10.1093/ehjci/jeaa351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Achenbach S, Fuchs F, Goncalves A, Kaiser-Albers C, Ali ZA, Bengel FM, et al. Non-invasive imaging as the cornerstone of cardiovascular precision medicine. Eur Heart J Cardiovasc Imaging. 2022;23:465–75. 10.1093/ehjci/jeab287. [DOI] [PubMed] [Google Scholar]
- 221.Baumann S, Renker M, Schoepf UJ, De Cecco CN, Coenen A, De Geer J, et al. Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve - results from the MACHINE registry. Eur J Radiol. 2019;119:108657. 10.1016/j.ejrad.2019.108657. [DOI] [PubMed] [Google Scholar]
- 222.Gevaert AB, Mueller S, Winzer EB, Duvinage A, Van de Heyning CM, Pieske-Kraigher E, et al. Iron deficiency impacts diastolic function, aerobic exercise capacity, and patient phenotyping in heart failure with preserved ejection fraction: a subanalysis of the OptimEx-Clin study. Front Physiol. 2021;12:757268. 10.3389/fphys.2021.757268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Kumar M, Salem K, Jeffery JJ, Fowler AM. PET imaging of estrogen receptors using (18)F-based radioligands. Methods Mol Biol. 2022;2418:129–51. 10.1007/978-1-0716-1920-9_9. [DOI] [PubMed] [Google Scholar]
- 224.Jacene H, Liu M, Cheng SC, Abbott A, Dubey S, McCall K, et al. Imaging androgen receptors in breast cancer with (18)F-fluoro-5α-dihydrotestosterone PET: a pilot study. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2022;63:22–8. 10.2967/jnumed.121.262068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 225.Aziz A, Hansen HS, Sechtem U, Prescott E, Ong P. Sex-related differences in vasomotor function in patients with angina and unobstructed coronary arteries. J Am Coll Cardiol. 2017;70:2349–58. 10.1016/j.jacc.2017.09.016. [DOI] [PubMed] [Google Scholar]
- 226.Guidelines for diagnosis and treatment of patients with vasospastic angina (Coronary Spastic Angina) (JCS 2013). Circ J. 2014;78:2779–801. 10.1253/circj.cj-66-0098. [DOI] [PubMed]
- 227.Safdar B, Spatz ES, Dreyer RP, Beltrame JF, Lichtman JH, Spertus JA, et al. Presentation, clinical profile, and prognosis of young patients with myocardial infarction with nonobstructive coronary arteries (MINOCA): results from the VIRGO Study. J Am Heart Assoc. 2018;7. 10.1161/jaha.118.009174. [DOI] [PMC free article] [PubMed]
- 228.Hecht HS, Blaha MJ, Kazerooni EA, Cury RC, Budoff M, Leipsic J, et al. CAC-DRS: coronary artery calcium data and reporting system. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT). J Cardiovasc Comput Tomogr. 2018;12(185):91. 10.1016/j.jcct.2018.03.008. [DOI] [PubMed] [Google Scholar]
- 229.Bairey Merz CN, Pepine CJ, Shimokawa H, Berry C. Treatment of coronary microvascular dysfunction. Cardiovasc Res. 2020;116:856–70. 10.1093/cvr/cvaa006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230.AlBadri A, Wei J, Quesada O, Mehta PK, Xiao Y, Ko YA, et al. Coronary vascular function and cardiomyocyte injury: a report from the WISE-CVD. Arterioscler Thromb Vasc Biol. 2020;40:3015–21. 10.1161/atvbaha.120.314260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231.Packer M, Anker SD, Butler J, Filippatos G, Ferreira JP, Pocock SJ, et al. Influence of neprilysin inhibition on the efficacy and safety of empagliflozin in patients with chronic heart failure and a reduced ejection fraction: the EMPEROR-Reduced trial. Eur Heart J. 2021;42:671–80. 10.1093/eurheartj/ehaa968. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232.Solomon SD, Vaduganathan M, Claggett BL, Packer M, Zile M, Swedberg K, et al. Sacubitril/valsartan across the spectrum of ejection fraction in heart failure. Circulation. 2020;141(352):61. 10.1161/circulationaha.119.044586. [DOI] [PubMed] [Google Scholar]
- 233.Beale AL, Meyer P, Marwick TH, Lam CSP, Kaye DM. Sex differences in cardiovascular pathophysiology: why women are overrepresented in heart failure with preserved ejection fraction. Circulation. 2018;138:198–205. 10.1161/circulationaha.118.034271. [DOI] [PubMed] [Google Scholar]
- 234.Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020 GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA a cancer journal for clinicians. 2021;71(209):49. 10.3322/caac.21660. [DOI] [PubMed] [Google Scholar]
- 235.Ibanez B, James S, Agewall S, Antunes MJ, Bucciarelli-Ducci C, Bueno H, et al. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: the Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J. 2018;39:119–77. 10.1093/eurheartj/ehx393. [DOI] [PubMed] [Google Scholar]
- 236.Kolte D, Yonetsu T, Ye JC, Libby P, Fuster V, Jang IK. Optical coherence tomography of plaque erosion: JACC focus seminar part 2/3. J Am Coll Cardiol. 2021;78:1266–74. 10.1016/j.jacc.2021.07.030. [DOI] [PubMed] [Google Scholar]
- 237.Scalone G, Niccoli G, Crea F. Editor’s choice- pathophysiology, diagnosis and management of MINOCA: an update. Eur Heart J Acute Cardiovasc Care. 2019;8:54–62. 10.1177/2048872618782414. [DOI] [PubMed] [Google Scholar]
- 238.Garg P, Underwood SR, Senior R, Greenwood JP, Plein S. Noninvasive cardiac imaging in suspected acute coronary syndrome. Nat Rev Cardiol. 2016;13:266–75. 10.1038/nrcardio.2016.18. [DOI] [PubMed] [Google Scholar]
- 239.Saraste A, Barbato E, Capodanno D, Edvardsen T, Prescott E, Achenbach S, et al. Imaging in ESC clinical guidelines: chronic coronary syndromes. Eur Heart J Cardiovasc Imaging. 2019;20:1187–97. 10.1093/ehjci/jez219. [DOI] [PubMed] [Google Scholar]
- 240.Chang HJ, Lin FY, Gebow D, An HY, Andreini D, Bathina R, et al. Selective referral using CCTA versus direct referral for individuals referred to invasive coronary angiography for suspected CAD: a randomized, controlled, open-label trial. JACC Cardiovasc Imaging. 2019;12:1303–12. 10.1016/j.jcmg.2018.09.018. [DOI] [PubMed] [Google Scholar]
- 241.Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, et al. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. 2020;41:407–77. 10.1093/eurheartj/ehz425. [DOI] [PubMed] [Google Scholar]
- 242.Lichtman JH, Leifheit EC, Safdar B, Bao H, Krumholz HM, Lorenze NP, et al. Sex differences in the presentation and perception of symptoms among young patients with myocardial infarction: evidence from the VIRGO study (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients). Circulation. 2018;137:781–90. 10.1161/circulationaha.117.031650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243.Lewis JF, McGorray S, Lin L, Pepine CJ, Chaitman B, Doyle M, et al. Exercise treadmill testing using a modified exercise protocol in women with suspected myocardial ischemia: findings from the National Heart, Lung and Blood Institute-sponsored Women’s Ischemia Syndrome Evaluation (WISE). Am Heart J. 2005;149:527–33. 10.1016/j.ahj.2004.03.068. [DOI] [PubMed] [Google Scholar]
- 244.Dolor RJ, Patel MR, Melloni C, Chatterjee R, McBroom AJ, Musty MD, et al. Noninvasive technologies for the diagnosis of coronary artery disease in women: Agency for Healthcare Research and Quality (US), Rockville (MD); 2012. [PubMed]
- 245.De Maria GL, Alkhalil M, Wolfrum M, Fahrni G, Borlotti A, Gaughran L, et al. Index of microcirculatory resistance as a tool to characterize microvascular obstruction and to predict infarct size regression in patients with STEMI undergoing primary PCI. JACC Cardiovasc Imaging. 2019;12:837–48. 10.1016/j.jcmg.2018.02.018. [DOI] [PubMed] [Google Scholar]