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Cardiac magnetic resonance imaging: insights into developmental programming and its consequences for aging

Published online by Cambridge University Press:  22 December 2020

G.D. Clarke*
Affiliation:
Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
J. Li
Affiliation:
Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
A.H. Kuo
Affiliation:
Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
A.J. Moody
Affiliation:
Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
P.W. Nathanielsz
Affiliation:
Department of Animal Science, University of Wyoming, Laramie, WY, USA
*
Address for correspondence: GD Clarke, Department of Radiology, University of Texas Health Science Center at San Antonio and Research Imaging Institute, University of Texas Health Science Center at San Antonio and Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. Email: CLARKEG@uthscsa.edu
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Abstract

Cardiovascular diseases (CVD) are important consequences of adverse perinatal conditions such as fetal hypoxia and maternal malnutrition. Cardiac magnetic resonance imaging (CMR) can produce a wealth of physiological information related to the development of the heart. This review outlines the current state of CMR technologies and describes the physiological biomarkers that can be measured. These phenotypes include impaired ventricular and atrial function, maladaptive ventricular remodeling, and the proliferation of myocardial steatosis and fibrosis. The discussion outlines the applications of CMR to understanding the developmental pathways leading to impaired cardiac function. The use of CMR, both in animal models of developmental programming and in human studies, is described. Specific examples are given in a baboon model of intrauterine growth restriction (IUGR). CMR offers great potential as a tool for understanding the sequence of dysfunctional adaptations of developmental origin that can affect the human cardiovascular system.

Information

Type
Review
Copyright
© The Author(s), 2020. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease
Figure 0

Fig. 1. Selection of left ventricular (LV) subendocardial margin (red lines), LV subepicardial margin (green lines), and right ventricular (RV) subendocardial margin (yellow lines) is performed manually or semi-automatically for up to 20 slices. Typical basal slice (a), midventricular slice (b), and apical slice (c) are shown at end-diastole (ED). Basal slice (d), midventricular (e), and apical slices (f) are also determined at end-systole (ES) and at 25–30 cardiac phases in between. From these data, full RV and LV volumes can be reconstructed at ED (g) and ES (h).

Figure 1

Fig. 2. Examples of parametric strain images calculated using MR feature tracking from breath-hold cine acquisitions (a) axial and (b) longitudinal strain surface coding for diastolic (top) and systolic (bottom) phases. Middle insert shows polar plots of maximal strain in the axial (c) and longitudinal directions (d). Plots of radial strain (e) and longitudinal strain over the cardiac cycle shows greater strains in both directions in the apical region of the baboon heart.

Figure 2

Fig. 3. Parametric maps of the T1 of the baboon left ventricle in short-axis views. (a) T1 parametric map of native myocardium. (b) T1 parametric map of myocardium ~10 min after gadolinium (Gd) administration. Note the GD reduces T1. (c) T1 measurement requires acquiring several images with different timing intervals. T1 recovery curves were generated for nine images taken at different timings. Circumferential strain, not shown, can also be calculated and displayed in a similar fashion.

Figure 3

Fig. 4. Example of a hydrogen-1 magnetic resonance spectrum (1 H-MRS) from a baboon heart. (a) Scout image is used to define the position in the interventricular septum (dashed rectangle) from which the 1 H-MRS data is sampled. (b) Sample spectrum from a prior study identifying six major resonances, including three peaks of triglyceride (4, 5, and 6) and single peaks of creatine (3), trimethyl-ammonium compounds (2), and water (1).

Figure 4

Table 1. CMR quantitative endpoints and relative accuracy [after Puntmann, 2018]

Figure 5

Table 2. Normative reference ranges for human left ventricular (LV) function by age

Figure 6

Table 3. Normative reference ranges for human right ventricular (RV) function by age

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Table 4. Normative reference ranges for human left atrial (LA) function by age

Figure 8

Table 5. Normative values for relaxation time in healthy human myocardium by age groups

Figure 9

Fig. 5. Sex differences were found in normalized LV time–volume curves across the cardiac cycle. Right for IUGR male baboons (blue lines), LV volumes tend to increase relative to control animals (red lines). Left for females, LV volumes tend to decrease in IUGR relative to younger subjects. Resting heart rate for IUGR animals is slower for both sexes. Data represent average normalized LV volume (continuous lines) and mean ± SEM (dashed lines) for animals, and are described in Ref. 96.

Figure 10

Fig. 6. Data are from 16 controls (8M/8 F), open boxes, and 16 IUGR (8M/8 F) baboons, black circles. Three-dimensional (3D) sphericity index is negatively correlated with aortic distensibility in the baboon (r = −0.36, p = 0.04). Increasing LV sphericity is an index of ventricular remodeling.

Figure 11

Fig. 7. Significant increase (p = 0.001) of native myocardial T1 values was measured in IUGR compared to control (CTL) group (n = 19, M/F = 8/11, age = 6.1 + 1.3 years.) versus IUGR group (n = 6, M/F = 2/4, age = 4.8 + 0.5 years.). T1 is indicative of higher myocardial collagen content even though control group is, on average, slightly older than IUGR group. Solid line = median; box covers interquartile range; whiskers cover full data range.

Figure 12

Fig. 8. Proposed mechanisms for IUGR cardiac pathophysiology. An overall congestive physiology is evidenced by the ventricular remodeling that increases sphericity in both systole and diastole. The decrease in ejection fraction worsens filling dysfunction via an increase in diastolic pressure. The RV changes mirror the left in many regards. The increase in diastolic pressure contributes to decreased coronary perfusion, which predisposes to cardiomyocyte injury. The pattern of ventricular changes raises concerns that afterload increases as well.