| Literature DB >> 32981527 |
Chiara Bucciarelli-Ducci1, Ellen Ostenfeld2, Lauren A Baldassarre3, Vanessa M Ferreira4, Luba Frank5, Kimberly Kallianos6, Subha V Raman7, Monvadi B Srichai8, Elisa McAlindon9, Sophie Mavrogeni10, Ntobeko A B Ntusi11, Jeanette Schulz-Menger12, Anne Marie Valente13, Karen G Ordovas6.
Abstract
The presentation and identification of cardiovascular disease in women pose unique diagnostic challenges compared to men, and underrecognized conditions in this patient population may lead to clinical mismanagement.This article reviews the sex differences in cardiovascular disease, explores the diagnostic and prognostic role of cardiovascular magnetic resonance (CMR) in the spectrum of cardiovascular disorders in women, and proposes the added value of CMR compared to other imaging modalities. In addition, this article specifically reviews the role of CMR in cardiovascular diseases occurring more frequently or exclusively in female patients, including Takotsubo cardiomyopathy, connective tissue disorders, primary pulmonary arterial hypertension and peripartum cardiomyopathy. Gaps in knowledge and opportunities for further investigation of sex-specific cardiovascular differences by CMR are also highlighted.Entities:
Keywords: Cardiovascular magnetic resonance; Chemotherapy-induced cardiomyopathy; Congenital heart disease; Connective tissue disease; Female cardiovascular disease; Ischemic heart disease; Non-ischemic cardiomyopathies; Peripartum cardiomyopathy; Pulmonary hypertension; Turner syndrome
Mesh:
Year: 2020 PMID: 32981527 PMCID: PMC7520984 DOI: 10.1186/s12968-020-00666-4
Source DB: PubMed Journal: J Cardiovasc Magn Reson ISSN: 1097-6647 Impact factor: 5.364
Normative CMR values of cardiac volumes and function in women and men
| Author, year | N (women + men), age | Women | Men | Women compared to men | |
|---|---|---|---|---|---|
| LVEDV (ml) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 124 (88–161) | 166 (109–218) | |
| Maicera et al., 2006 [ | 60 + 60, 20–80 years | 128 (88–168) | 156 (115–198) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 135 (96–174) | 169 (102–235) | ||
| LVEDVi (ml/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 74 (54–94) | 85 (60–110) | |
| Maicera et al., 2006 [ | 60 + 60, 20–80 years | 75 (57–92) | 80 (63–98) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 78 (56–99) | 82 (53–112) | ||
| LVESV (ml) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 49 (31–68) | 69 (39–97) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 42 (23–60) | 53 (30–75) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 49 | 61 | ||
| LVESVI (ml/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 29 (19–40) | 36 (21–49) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 24 (15–34) | 27 (16–38) | ||
| LVSV (ml) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 75 (49–100) | 96 (59–132) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 86 (58–114) | 104 (76–132) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 86 | 108 | ||
| LVSVI(ml/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 45 (30–59) | 49 (32–67) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 50 (38–63) | 53 (41–65) | ||
| LVEF (%) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 61 (51–70) | 58 (48–69) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 67 (58–76) | 67 (58–75) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 64 (54–74) | 64 (55–73) | ||
| LVM (g) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 70 (46–93) | 103 (64–141) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 108 (72–144) | 146 (108–184) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 90 (66–114) | 133 (85–181) | ||
| LVMI (g/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 42 (29–55) | 53 (35–70) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 63 (48–77) | 74 (58–91) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 52 (37–67) | 65 (46–83) | ||
| RVEDV (ml) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 130 (85–168) | 182 (124–258) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 126 (84–168) | 163 (113–213) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 131 (83–178) | 177 (111–243) | ||
| RVEDVI (ml/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 77 (53–99) | 93 (68–125) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 73 (55–92) | 83 (60–106) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 75 (48–103) | 86 (58–114) | ||
| RVESV (ml) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 55 (27–77) | 85 (47–123) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 43 (17–69) | 57 (27–86) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 52 | 79 | ||
| RVESVI (ml/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 33 (17–46) | 43 (25–63) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 25 (12–38) | 29 (14–43) | ||
| RVSV (ml) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 75 (48–99) | 97 (68–125) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 83 (57–108) | 106 (72–140) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 78 | 98 | ||
| RVSVi (ml/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 45 (30–59) | 50 (34–67) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 48 (36–60) | 54 (38–70) | ||
| RVEF (%) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 58 (47–68) | 54 (45–65) | |
| Maceira et al., 2006 [ | 60 + 60, 20–80 years | 66 (54–78) | 66 (53–78) | ||
| Alfakih et al., 2003 [ | 30 + 30, 20–65 years | 60 (50–70) | 55 (48–63) | ||
| RVM (g) | Maceira et al., 2006 [ | 60 + 60, 20–80 years | 48 (27–69) | 66 (38–94) | |
| RVMi (g/m2) | Maceira et al., 2006 [ | 60 + 60, 20–80 years | 28 (18–38) | 34 (19–43) | |
| LAV max (ml) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 62 (33–93) | 71 (37–108) | |
| Maceira et al., 2010 [ | 60 + 60, 20–80 years | 68 (42–95) | 77 (48–107) | ||
| LAVi max (ml/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 37 (21–55) | 36 (19–55) | |
| Maceira et al., 2010 [ | 60 + 60, 20–80 years | 40 (27–52) | 39 (26–53) | ||
| LA emptying fraction (%) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 61 (49–74) | 60 (47–73) | |
| Maceira et al., 2016 [ | 60 + 60, 20–80 years | 60 (48–72) | 58 (47–68) | ||
| RAV max (ml) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 69 (38–101) | 93 (43–143) | |
| Maceira et al., 2013 [ | 60 + 60, 20–80 years | 91 (58–124) | 109 (64–124) | ||
| RAVi max (ml/m2) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 41 (23–59) | 48 (22–74) | |
| Maceira et al., 2013 [ | 60 + 60, 20–80 years | 53 (36–70) | 55 (33–78) | ||
| RA emptying fraction (%) | Petersen et al., 2017 [ | 433 + 371, 45–74 years | 46 (31–63) | 41 (23–58) | |
| Maceira et al., 2016 [ | 60 + 60, 20–80 years | 58 (46–69) | 54 (40–68) | ||
Data expressed as mean and in parenthesis the lower and upper reference limits (95% interval) when noted in original publication
LV Left ventricular, EDV End-diastolic volume, I Indexed to body surface area, ESV End-systolic volume, EF Ejection fraction, LVM Left ventricular mass, RV Right ventricular, LAV Left atrial volume, LA Left atrial, RAV Right atrial volume, RA Right atrial
aVolumes from biplane, b Volumes from single plane 4ch view, c Volumes from short axis stack
Fig. 1Acute Myocarditis. Four chamber long-axis view T2-weighted image (a) and corresponding late gadolinium enhancement (LGE) image (b). The white arrows indicate patchy epicardial and mid-wall areas of myocardial edema a with corresponding epicardial and mid-wall late enhancement (b)
Fig. 2Takotsubo cardiomyopathy. Three-chamber view of a patient with Takotsubo cardiomyopathy. a shows the T2 weighted image with increased signal intensity of the mid-cavity and apical segments (white arrows) without late gadolinium enhancement (b)
Fig. 3Peripartum cardiomyopathy. Cine long-axis four chamber view, end-diastolic frame (a), late gadolinium enhancement short-axis (b), and three chamber view (c) in a woman with postpartum cardiomyopathy. The images show only a mildly dilated LV cavity (a) and mid-wall late gadolinium enhancement of the basal inferolateral wall (white arrows)
Fig. 4Rheumatoid arthritis and cardiac injury. Short-axis LGE image in 2 patients with rheumatoid arthritis: the left panel shows epicardial LGE of the basal inferolateral wall (a white arrows), due to myocarditis; the right panel shows near transmural anteroseptal myocardial infarction (b white arrows) with areas of microvascular obstruction (MVO, black arrow), due to left anterior descending coronary artery occlusion
Fig. 5Duchenne muscular dystrophy. A woman with dystrophin mutation carrier status was screened for myocardial disease with CMR. Late gadolinium enhancement images demonstrated epicardial enhancement of the basal lateral wall in both the short-axis (a) and long-axis views (white arrows), a typical subtle pattern of myocardial injury seen in Duchenne muscular dystrophy
Fig. 6Sex differences in transplantation-free survival in pulmonary arterial hypertension. Transplant-free survival in male (solid line) and female (dashed line) patients with pulmonary arterial hypertension starting first-line pulmonary arterial hypertension-specific therapies (P = 0.002) [150]. Reprinted from CHEST, 145 [5], Jacobs W et al., The Right Ventricle Explains Sex Differences in Survival in Idiopathic Pulmonary Arterial Hypertension, 1230–1236. Copyright (2014), with permission from Elsevier
Fig. 7Pulmonary arterial hypertension. Short axis balanced steady state free precession cine image in patient with precapillary pulmonary hypertension in diastole demonstrating right ventricular dilatation and hypertrophy as well as bulging of the interventricular septum into the small left ventricle as a sign of high pulmonary arterial pressure. The septal flattening can easily be demonstrated by echocardiography, but the biventricular mass, volumetric, and functional quantification using CMR is superior to echocardiographic estimates
Fig. 8Bicuspid valve. Balanced steady-state, free precession cine CMR in the short-axis plane demonstrating a bicuspid aortic valve in a young woman with Turner syndrome. Echocardiography is first-line modality for assessment of cardiac valves. However, CMR can corroborate the valve morphology in case of suboptimal image quality with echocardiography. RA, right atrium; LA, left atrium; RV, right ventricle
Fig. 9Dilated ascending aorta in pregnant patient. 3D volume rendering reformation of a non-contrast CMR angiogram in a patient with bicuspid aortic valve and Marfan Syndrome shows dilatation of the ascending aorta (arrow). In this patient with a maximum ascending aortic dimension of 45 mm, close clinical monitoring was recommended during pregnancy and delivery