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Fetal hemodynamics and cardiac streaming assessed by 4D flow cardiovascular magnetic resonance in fetal sheep

  • Eric M. SchraubenEmail author
  • Brahmdeep Singh Saini
  • Jack R. T. Darby
  • Jia Yin Soo
  • Mitchell C. Lock
  • Elaine Stirrat
  • Greg Stortz
  • John G. Sled
  • Janna L. Morrison
  • Mike Seed
  • Christopher K. Macgowan
Open Access
Research

Abstract

Background

To date it has not been possible to obtain a comprehensive 3D assessment of fetal hemodynamics because of the technical challenges inherent in imaging small cardiac structures, movement of the fetus during data acquisition, and the difficulty of fusing data from multiple cardiac cycles when a cardiac gating signal is absent. Here we propose the combination of volumetric velocity-sensitive cardiovascular magnetic resonance imaging (“4D flow” CMR) and a specialized animal preparation (catheters to monitor fetal heart rate, anesthesia to immobilize mother and fetus) to examine fetal sheep cardiac hemodynamics in utero.

Methods

Ten pregnant Merino sheep underwent surgery to implant arterial catheters in the target fetuses. Anesthetized ewes underwent 4D flow CMR with acquisition at 3 T for fetal whole-heart coverage with 1.2–1.5 mm spatial resolution and 45–62 ms temporal resolution. Flow was measured in the heart and major vessels, and particle traces were used to visualize circulatory patterns in fetal cardiovascular shunts. Conservation of mass was used to test internal 4D flow consistency, and comparison to standard 2D phase contrast (PC) CMR was performed for validation.

Results

Streaming of blood from the ductus venosus through the foramen ovale was visualized. Flow waveforms in the major thoracic vessels and shunts displayed normal arterial and venous patterns. Combined ventricular output (CVO) was 546 mL/min per kg, and the distribution of flows (%CVO) were comparable to values obtained using other methods. Internal 4D flow consistency across 23 measurement locations was established with differences of 14.2 ± 12.1%. Compared with 2D PC CMR, 4D flow showed a strong correlation (R2 = 0.85) but underestimated flow (bias = − 21.88 mL/min per kg, p < 0.05).

Conclusions

The combination of fetal surgical preparation and 4D flow CMR enables characterization and quantification of complex flow patterns in utero. Visualized streaming of blood through normal physiological shunts confirms the complex mechanism of substrate delivery to the fetal heart and brain. Besides offering insight into normal physiology, this technology has the potential to qualitatively characterize complex flow patterns in congenital heart disease phenotypes in a large animal model, which can support the development of new interventions to improve outcomes in this population.

Keywords

Fetal Cardiac Hemodynamics 4D flow CMR Cardiovascular magnetic resonance 

Abbreviations

3D

three dimensional

4D

four dimensional

AAo

ascending aorta

BT

brachiocephalic trunk

CMR

cardiovascular magnetic resonance

CVO

combined ventricular output

DA

ductus arteriosus

DAo

descending aorta

DV

ductus venosus

FO

foramen ovale

IVCd

distal inferior vena cava

IVCp

proximal inferior vena cava

LA

left atrium/left atrial

LPA

left pulmonary artery

LV

left ventricle/left ventricular

MPA

main pulmonary artery

PBF

pulmonary blood flow

PC

phase contrast

RA

right atrium/right atrial

RHV

right hepatic vein

RPA

right pulmonary artery

RV

right ventricle/right ventricular

SVC

superior vena cava

TE

echo time

TR

repetition time

UV

umbilical vein

VENC

velocity encoded

Background

The fetal circulatory system differs from the post-natal circulation of placental mammals due to the need to exchange oxygen, nutrients, and waste across the placenta – the presence of shunts in the fetal circulation creates additional paths by which oxygen-rich blood transits directly to the heart and brain. Early investigations explored the fetal circulation by injecting radiolabeled microspheres into target vessels and measuring their deposition in downstream tissues [1, 2]. These studies revealed remarkable patterns of flow within the fetus, including the preferential delivery of oxygenated umbilical vein blood to critical organs. This is made possible by two physiological shunts unique to the fetal circulation: the ductus venosus and foramen ovale (Fig. 1a). The ductus venosus provides a route for some oxygen- and nutrient-rich blood from the umbilical vein to bypass the liver and flow directly into the proximal inferior vena cava (IVCp). This blood then flows preferentially through the right atrium and into the left atrium, via the foramen ovale, to eventually supply the myocardium, brain and upper body. Conversely, these same studies showed that deoxygenated and nutrient poor blood from the distal inferior vena cava (IVCd) and superior vena cava (SVC) flows preferentially from the right atrium into the right ventricle, which primarily supplies the placenta and lower body via the ductus arteriosus. This confluence and subsequent separation of oxygenated and deoxygenated blood, with limited mixing in the IVCp and right atrium, is now recognized as essential for normal fetal development, and its disruption in congenital heart disease affects growth and development [3, 4, 5].
Fig. 1

a: Normal course of the fetal circulation. b, c: Two examples of segmented whole-heart angiographic images in the left ventral view, derived from time-averaged phase contrast data (gestational age: B = 128 days, C = 116 days). Scale bars indicate relative size of fetal structures, with standard anatomy labeled. UV: umbilical vein; DV: ductus venosus; IVCd: distal inferior vena cava; IVCp: proximal inferior vena cava; SVC: superior vena cava; RA: right atrium; FO: foramen ovale; LA: left atrium; RV: right ventricle; LV: left ventricle; MPA: main pulmonary artery; DA: ductus arteriosus; AAo: ascending aorta; DAo: descending aorta

Despite the importance of this complex flow network, it is difficult to visualize and quantify in vivo. Recent imaging studies of the fetal circulation have used ultrasound to measure velocity waveforms [6, 7] and single-slice two-dimensional (2D) phase-contrast (PC) CMR to quantify blood flow in target vessels in humans [8, 9] and sheep [10]. While these studies have elucidated important aspects of fetal circulation, the complex course of oxygenated and deoxygenated blood flow to and through the fetal heart has not been directly observed and mapped. Understanding normal cardiovascular physiology may improve detection of abnormal development to design new intervention strategies appropriate for clinical intervention. 4D flow CMR [11], an extension of 2D PC CMR that quantifies cardiac time-resolved three dimensional (3D) blood flow within a prescribed anatomical volume, is ideally suited to capture these fetal cardiovascular dynamics. Resulting velocity fields can be visualized and interactively probed using particle traces (paths followed by virtual particles released into the time-dependent velocity field).

The purpose of this work was to examine 3D fetal cardiac hemodynamics in utero. This is accomplished using the combination of specialized animal preparation – surgical placement of pressure catheters to measure fetal heart rate and anesthesia to immobilize the mother and fetus – and 4D flow CMR of the fetal heart. We present our initial experience in a sheep model of human pregnancy, as well as qualitative and quantitative findings with reference to 2D PC CMR findings.

Materials and methods

All procedures were approved by the South Australian Health and Medical Research Institute’s Animal Ethics Committee and complied with the Australian code of practice for the care and use of animals for scientific purposes. All investigators understood and followed the ethical principles outlined in Grundy et al. [12] as well as the ARRIVE guidelines [13].

Animal care and preparation

This study included 10 fetuses from 10 pregnant Merino ewes (singleton pregnancies, full term = 150 days). Ewes were housed in individual pens in animal holding rooms with a 12:12 h light/dark cycle and were fed 100% metabolizable energy requirements once daily with ad libitum access to water. The day before surgery, ewes were administered meloxicam (subcutaneously; 0.5 mg/kg) and again 24 h later. Each ewe and fetus underwent surgery at 109–111 days gestation to implant vascular catheters. General anesthesia was induced with intravenous diazepam (0.3 mg/kg) and ketamine (5 mg/kg) and maintained with 1–2% isoflurane in 100% oxygen (Lyppards, South Australia, Australia). An incision was made in the ewes’ abdomen and the uterus was opened to expose the fetus. Vascular catheters (Critchley Electrical Products, Silverwater, Australia) were inserted into a fetal femoral artery, jugular vein and the amniotic cavity. The fetus was returned to the uterus, and the uterine and abdominal incisions were sutured closed [5, 10, 14, 15]. At the time of surgery, ewes and fetuses received an intramuscular injection of antibiotics of 3.5 mL of Norocillin – 150 mg/ml procaine penicillin and 112.5 mg/mL benzathine penicillin (Norbrook Laboratories Ltd., Gisborne, Australia) and 2 mL of 125 mg/mL Dihydrostreptomycin in sterile saline (Sigma, St Louis, Missouri, USA). These were administered to ewes intramuscularly for 3 days post-op and fetuses received ampicillin intraamniotically for 4 days. Animals were allowed at least 4 days to recover from surgery prior to experiments.

Monitoring fetal health

Fetal arterial blood was collected daily to monitor fetal health. Measurement of whole blood arterial partial pressure of oxygen, partial pressure of carbon dioxide, pH, oxygen saturation, hematocrit, and hemoglobin were measured with a RAPIDPOINT 500 (Siemens Healthineers, Erlangen, Germany) and temperature corrected to 39 °C.

CMR animal preparation

General anesthesia was induced at 123 ± 7 days gestation with intravenous diazepam (0.3 mg/kg) and ketamine (5 mg/kg) and maintained with 2.5–3.0% isoflurane. The ewe was then positioned on its left side for the duration of the scan, with respiration supported by ventilator with room air and condition monitored with an CMR compatible SaO2/heart rate monitor (Nonin Medical Inc., Plymouth, Minnesota, USA).

The fetal femoral artery and amniotic catheters were connected to displacement transducers, a quad-bridge amplifier and a data acquisition unit (PowerLab, ADInstruments, Castle Hill, Australia) to record fetal blood pressure (corrected for amniotic pressure). All data were sampled at a rate of 400 Hz, digitized and recorded using LabChart 7 (AD Instruments). Cardiac triggers were determined when the resulting blood pressure signal passed a threshold value, calibrated before scanning began. Individual triggers were sent in realtime during fetal scanning via the CMR external triggering port [5, 16].

Imaging protocol

Following high resolution 3D imaging for cardiac localization, 4D flow CMR (WIP 785A, Siemens) was performed using a commercial 3 T CMR system (Magnetom Skyra, Siemens Healthineers). Data were acquired in an axial orientation relative to the fetus using 60 slices with coverage from the intra-hepatic umbilical vein to the aortic arch. To provide better velocity to noise contrast in slow flow regions, 6 subjects had 4D flow CMR repeated using the same volumetric prescription with high and low velocity encodings (two VENC; Table 1). All images were retrospectively cardiac gated and reconstructed to 8 cardiac timeframes using parallel imaging (acceleration factor = 2, 32 reference lines). The acquisition did not employ respiratory navigator gating or multiple averages at the same VENC..
Table 1

CMR acquisition and reconstruction parameters

CMR Acquisition and Reconstruction parameters

 

4D flow [Range]

2D PC [Range]

FOV (cm)

26–35 × 26–40 × 7.2–9.0

24 × 16.6

Spatial resolution (mm)

1.2–1.5 × 1.2–1.5 × 1.3–1.5

1.0 × 1.0 × 5.0

TR (ms)

8.2–10.9

5.59

TE (ms)

3.1–4.1

3.18

α (°)

8

30

Cardiac Frames

8

15

Reconstructed temporal resolution (ms)

45–62

24–33

Acquisition time (min)

6.5–8 (one VENC, 3 subjects);

1.83 (3 averages)

15–19 (two VENC, 6 subjects)

VENC (cm/s)

100–150 (one VENC, 4 subjects);

50–150

50,150 (two VENC, 6 subjects)

FOV field-of-view; TE echo time; TR repetition time; VENC velocity encoding

High resolution 2D PC CMR of the major fetal vessels was also performed. Images were acquired perpendicular to the vessel of interest, which included the ascending aorta (AAo), main pulmonary artery (MPA),ductus arteriosus, descending aorta (DAo), SVC, ductus venosus, left / right pulmonary arteries (LPA, RPA) and umbilical vein. Acquisition parameters in these scans can be found in Table 1. In the event of aliasing or non-orthogonal vessel prescriptions, the vessel of interest was re-localized and the measurement was repeated.

Image processing

4D flow CMR data were processed and analyzed by an experienced researcher. After background phase subtraction based on the phase of static tissue, automatic phase unwrapping using the highest available VENC scan was employed to reduce phase aliasing [17]. Phase images from the two VENC acquisitions were combined on a voxel by voxel basis, selecting the low VENC velocity vector if phase aliasing was not evident when compared with the unwrapped high VENC scan [18].

Corrected data were subsequently processed using prototype visualization and analysis software (4D Flow v2.4, Siemens Healthineers) [19]. Briefly, whole-heart anatomy was segmented from the time-averaged PC angiogram using the vessel centerline tree and the vessel lumen extracted semi-automatically from user-placed seed points. Temporal motion tracking of flow data using symmetric deformable registration was applied and later used to temporally update the segmentation, analysis planes, and visualization of particle traces.

Flow visualization

By defining specific fetal vessels as the origins of particle traces, the evolution of blood flow was visualized – here examining the circulatory mechanisms responsible for fetal oxygen delivery. Particles were emitted from cross-sections of the MPA and the AAo to visualize flow through the ductus arteriosus, aortic isthmus, and supply to the cerebrovascular circulation. Similarly, flow into the right heart was visualized via particle traces emitted from the SVC and IVCp. Finally, particles were emitted from the ductus venosus and IVCd to trace the paths of blood returning from the placenta and lower fetal body, respectively.

Flow quantification

4D flow CMR blood flow distribution was measured in all visible major vessels and flow conduits by placing cardiac time-resolved contours. To ensure these contours were orthogonal to the vessel and direction of flow, 3D velocity vectors were visualized within an initial contour, which was adjusted until vectors were perpendicular to the cross-section. Values were averaged over the cardiac cycle, indexed to fetal body weight (mL/min per kg), and used to calculate combined ventricular output (CVO = 1.03*[MPA + AAo]) and %CVO for each vessel [20].

Conservation of mass, which requires equal total flow entering and exiting a flow network, was used to test internal consistency of 4D flow CMR. Mean percent difference across four cardiovascular locations was calculated in cases where all vessels could be identified. These are illustrated in Additional file 1: Fig. S1: IVCp versus combined right hepatic vein, ductus venosus and IVCd (IVCp = RHV + DV (ductus venosus) + IVCd; n = 7); flows to and from the right side of the heart (SVC + IVCp = MPA + FO (foramen ovale); n = 4); MPA versus combined ductus arteriosus and pulmonary blood flow (MPA = DA + PBF; n = 4); and total flow to and from the lower body (IVCp = DAo; n = 8). Pulmonary blood flow (PBF) was calculated as left pulmonary artery plus right pulmonary artery (PBF = LPA + RPA).

4D flow CMR and 2D PC CMR results were compared using indexed mean flows. Over all subjects and vessels where both techniques were successfully completed, least squares regression, Bland-Altman analysis [21], and a paired t-test were performed. The significance level was set to 5% (p ≤ 0.05).

Finally, at each measurement location, flows (absolute and indexed) were compared to those in the literature obtained using a variety of techniques and species: 2D PC CMR in humans [9], Doppler ultrasound in mice [7], radiolabeled microspheres in sheep [20], and 2D PC CMR in sheep [10].

Results

Animal characteristics and blood gas data

Fetal weight (calculated from fetal volume determined at CMR) and heart rate were appropriate for gestational age (Table 2). Fetal blood gases during the CMR session were also normal.
Table 2

Fetal characteristics and blood gas status at the time of CMR scanning

Gestational Age (days)

123

±

7

Weight (kg)

2.8

±

0.6

Heart rate (bpm)

140

±

13

Fetal blood gases

Partial pressure of oxygen (mmHg)

17.8

±

2.9

Partial pressure of carbon dioxide (mmHg)

52.3

±

13.9

pH

7.287

±

0.058

Oxygen saturation (%)

51.1

±

7.1

Hematocrit (%)

26.7

±

4.5

Hemoglobin (g/L)

83.4

±

24.0

Fetal body weight at CMR was estimated based on fetal volume in CMR [22]. [Mean ± StdDev]

Visualization and shunt quantification

Anatomic 3D segmentation of all target vessels was achieved for 5 of the 10 subjects, including all vessels listed in Fig. 1a. Example segmentations in two fetal sheep at different gestational ages are shown in Fig. 1b-c, including labeled vessels and shunts as well as scale bars for relative size. In the remaining 5 cases, at least 2 fetal vessels were segmented for flow measurement. Table 3 lists the number of times each vessel was measured across this cohort.
Table 3

Literature-based flow comparisons

 

Method

CVO

MPA

AAo

SVC

DA

PBFa

DAo

UV

FOb

IVCd

IVCpc

DV

Mean Flow (mL/min per kg)

Human

2D PC MRI

465

261

191

137

187

74

252

134

135

Mouse

ultrasound

1020

550

470

210

340

210

410

130

270

290

90

Sheep

microspheres

450

300

137

108

260

36

305

180

115

125

305

100

Sheep

2D PC MRI

517

266

236

121

200

89

352

213

164

105

Sheep

4D flow MRI

546

284

245

181

265

38

333

197

174

117

357

144

 

# measurements

  

6

5

4

5

3

10

8

5

6

8

7

 

standard error

  

35.6

30.4

20.4

13.5

2.3

31.2

20.2

35.3

10.2

27.1

22.1

  

Method

 

MPA

AAo

SVC

DA

PBFa

DAo

UV

FOb

IVCd

IVCpc

DV

Mean Flow (% of CVO)

Human

2D PC MRI

 

56

41

29

40

15

54

29

29

Mouse

ultrasound

 

52

48

23

36

21

42

14

31

30

10

Sheep

microspheres

 

67

30

24

58

8

68

40

26

28

68

22

Sheep

2D PC MRI

 

51

46

23

39

17

68

41

32

20

Sheep

4D flow MRI

 

52

45

33

48

7

61

36

32

21

65

26

Literature-based numbers for fetal blood distribution in human (from CMR [9]), mouse (from Doppler ultrasound [7]), sheep (from radiolabeled microspheres [20]), and sheep (from 2D PC CMR [10]) versus 4D flow CMR data in sheep. Right hepatic vein flows, not presented here, were measured in 5 subjects

PBF a (mouse) calculated as MPA - DA. FO b (human, mouse, sheep – 2D PC CMR) calculated as AAo – PBF. IVC p c (sheep – microspheres) calculated as UV + IVC d

UV: umbilical vein; DV: ductus venosus; IVCd: distal inferior vena cava; IVCp: proximal inferior vena cava; SVC: superior vena cava; FO: foramen ovale; AAo: ascending aorta; DA: ductus arteriosus; DAo: descending aorta; MPA: main pulmonary artery; PBF: combined pulmonary blood flow

Particle traces depicting flows in the MPA and AAo are presented in Fig. 2. Qualitatively, the majority of traces leaving the MPA pass through the ductus arteriosus, bypassing the pulmonary circulation, while AAo blood branches into both the brachiocephalic trunk toward the brain and the DAo. An animated version of these particle traces can be viewed over two cardiac cycles in Additional file 2: Movie 1.
Fig. 2

Individual time points from animated particle traces in a cranial view of cardiac structures. Particles are emitted from the main pulmonary artery (MPA) and ascending aorta (AAo), and color-coded based on speed of streaming blood. The majority of MPA flow bypasses the lungs (pulmonary arteries not visualized), shunting through the ductus arteriosus (DA) into the descending aorta and the rest of the body. The highest blood speed from the AAo passes into the brachiocephalic trunk. Animated versions of particle traces can be viewed over two cardiac cycles in Additional file 2: Movie 1

Right heart inputs from the SVC (blue) and IVCp (red) are shown in Fig. 3 as particle traces spanning two cardiac cycles. The MPA receives blood from both structures, yet the left side of the heart and AAo receive blood only from the lower body via the IVCp and right-to-left shunting through the foramen ovale. An animated version of these particle traces can be viewed over two cardiac cycles in Additional file 3: Movie 2.
Fig. 3

Particle traces in an oblique ventral view of SVC (blue) and IVCp (red) return to the right side of the heart, shown at four time points over two cardiac cycles. The MPA receives blood from both vessels, serving as a conduit to the lungs and lower body. The AAo only receives IVCp blood via right-to-left atrial shunting. Time-resolved particle trace animations over two cardiac cycles for this view can be found in Additional file 3: Movie 2. SVC: superior vena cava; IVCp: proximal inferior vena cava; AAo: ascending aorta; MPA: main pulmonary artery

Particle traces of flow in the IVCp are shown in Fig. 4, by simultaneously emitting particles from the ductus venosus (red) and the IVCd (blue). Although these streams meet at the ductus venosus junction with the IVCp, they do not visibly mix as they approach the right atrium. Furthermore, note the preferential streaming of blood from the ductus venosus through the foramen ovale, to the left side of the heart. Animated particle traces over two cardiac cycles can be found in Additional file 4: Movie 3.
Fig. 4

Particle traces in a ventral view showing preferential delivery of DV blood to the left side of the heart. DV (red) and IVCd (blue) particles are shown at four time-points over one cardiac cycle. The two streams remain well-separated, with blood from the DV primarily entering the left heart while IVCd blood passes into the right ventricle and main pulmonary artery. Particle trace movies over two cardiac cycles can be found in Additional file 4: Movie 3. DV: ductus venosus; IVCd: distal inferior vena cava; FO: foramen ovale; RV: right ventricle; LV: left ventricle

Flow quantification

Figure 5 illustrates the locations of measurement contours within the fetal vasculature and their resulting blood flow waveforms, presented as cardiac inputs (top) and outputs (bottom) for clarity. These waveforms follow typical arterial and venous shapes, with venous waveforms showing increasing biphasic pulsatility closer to the heart (SVC, IVCp). Conversely, flow from the placenta through the umbilical vein is less affected by intracardiac pressures, appearing as a nearly constant flow.
Fig. 5

Left: Right lateral view of the segmented fetal vasculature for quantitation of blood flow volumes. Color-coded contours indicate locations of corresponding flow measurements at right. Right: Blood flow waveforms (flow in mL/s vs cardiac time) at all measurement locations, separated by input (top) and output (bottom). Cardiac inputs from the DV, IVCd, IVCp, and SVC display typical biphasic nature with greater pulsatility nearer to the heart, whereas UV flow appears nearly constant. Note UV flow was measured downstream from the junction of the typical 2 UVs found in fetal sheep. Outputs from the MPA, DA, AAo, BT, and DAo display large systolic peaks and low diastolic flows. BT and PBF display retrograde diastolic flow, likely indicative of runoff to the placenta through the aortic isthmus and DA. UV: umbilical vein; DV: ductus venosus; IVCd: distal inferior vena cava; IVCp: proximal inferior vena cava; SVC: superior vena cava; FO: foramen ovale; AAo: ascending aorta; BT: brachiocephalic trunk; DA: ductus arteriosus; DAo: descending aorta; MPA: main pulmonary artery; PBF: combined pulmonary blood flow

4D flow CMR internal consistency across various cardiac structures showed percent differences of 14.2 ± 12.1% (n = 23 total locations), with average percent differences at specific locations of 20.3% (IVCp = RHV + DV + IVCd; n = 7), 18.8% (SVC + IVCp = MPA + FO; n = 4), 7.4% (MPA = DA + PBF; n = 4), and 10.1% (IVCp = DAo; n = 8).

2D PC CMR versus 4D flow CMR yielded 65 direct flow comparisons across all subjects. Results for linear regression and Bland-Altman analysis are shown in Fig. 6, demonstrating strong correlation (R2 = 0.85) but with systematic underestimation using 4D flow (slope = 0.78, 95% confidence interval = [0.69, 0.86]). This resulted in a statistically significant (p = 0.009) bias of − 21.9 mL/min per kg (limits of agreement = [− 133.8, 90.1]). These results are further parsed and color-coded by individual vessels in Additional file 5: Fig. S2, and all vessels are individually visualized using boxplots in Additional file 6: Fig. S3..
Fig. 6

Linear regression (left) and Bland-Altman (right) analysis comparing 2D PC CMR and 4D flow MRI, with all vessels and subjects combined. 4D flow CMR shows good correlation with 2D PC CMR (R2 = 0.85, slope = 0.78 with 95% confidence interval = [0.69, 0.86])). The calculated Bland-Altman bias = − 21.88 (limits of agreements = [− 133.82, 90.05] mL/min per kg) was considered significant (p = 0.009)

Table 3 provides mean indexed flows in mL/min per kg fetal mass, and these same values as %CVO. Human [9], mouse [7], and sheep [10, 20] reference data are also included for comparison with values from this 4D flow CMR sheep fetus experiment.

Discussion

Here we use 4D flow CMR for evaluation of the fetal circulation in a sheep model of human pregnancy, and present compelling evidence of parallel streams of blood passing up the IVC and through the fetal heart. This streaming is a well-known mechanism for oxygen delivery to the developing heart and brain, and the findings here are supported by previous studies [1, 6]. To determine the path of oxygenated versus deoxygenated blood, Edelstone and Rudolph [1] injected radiolabeled microspheres into the major vessels feeding the heart with oxygenated (ductus venosus) and deoxygenated (IVCd) blood and counted the distribution of their downstream tissue deposition in the sheep fetus. This approach has also been used to determine distribution of fetal cardiac output in response to acute [22] and chronic [15] hypoxemia and hormonal regulation [23, 24, 25]. The fetal circulation has also been probed with more conventional diagnostic imaging, including multimodal ultrasound to examine 2D projections of ductus venosus and foramen ovale shunting [6], Doppler ultrasound to measure ductus venosus waveforms in acute hypoxemia [26], and 2D PC CMR to measure distribution of cardiac output in anesthetized sheep fetuses [10].

Complete cardiovascular segmentation was achieved in 5/10 cases. Cases that could not be fully segmented were a result of either incomplete 4D flow volume coverage of the fetal vasculature or artifact from maternal respiration. In two cases the prescribed image volume did not cover the umbilical vein to the aortic arch, while in three cases segmentation of smaller vessels failed due to residual image artifact attributed to maternal respiratory motion. In these cases, only large, straight vessels were identified and measured.

Using volumetric velocity-mapping CMR and corresponding particle trace evolution, the results presented here are the first to visualize ductus venosus streaming in a 3D time-resolved manner. By direct observation of these complex distributions using 4D flow CMR, a more complete representation and understanding of normal fetal growth may be achieved, and how pathologies that influence this flow, such as congenital heart disease, alter development.

In addition to the qualitative assessment of the fetal cardiac circulation, 4D flow CMR can be used as a tool for direct measurement of flow as it traverses all major cardiac vessels and shunts. Due to certain vessels remaining unidentified, conservation of mass could not be performed across all junctions in all fetal subjects. For those that were measured, the percent differences across cardiac structures fall into a normal range for 4D flow CMR previously reported at this level of spatial and temporal resolution. Wentland et al. used 4D flow CMR in the adult abdominal aorta and renal arteries (which included 1.32 mm isotropic resolution, ~ 71.5 ms temporal resolution, and respiratory gating), reporting internal consistency of 12.6 ± 8.8%. [27]. Additionally, using 4D flow CMR in the pregnant rhesus macaque, Macdonald et al. have shown internal consistency on the order presented here, specifically: 15% in the uterine arteries, 8% between DAo and IVCp measurements, and 15% in the umbilical cord [28]. Given the smaller intracardiac fetal vessels measured in this study and lack of respiratory gating, one would expect a worse consistency. Nevertheless, these results lend confidence to the internal consistency of measurements presented here.

Direct statistical comparison of 4D flow CMR to 2D PC CMR in fetal vessels was inspired by previous work in human in vivo fetal measurements [8, 9]. Moreover, the use of 2D PC CMR as a standard for these measurements is supported by its ubiquitous clinical use and repeatability in vessels whose diameters are on the order of the adult internal carotid artery [29]. Despite establishing good correlation between 4D flow CMR and 2D PC CMR, the 4D flow values were significantly lower. This underestimation of the 4D flow values may result from four main factors. First, there are user-dependent factors inherent to both techniques, including manual drawing of regions of interest, which may introduce measurement variability. Second, lower in-plane spatial resolution in the 4D flow CMR scans (1.2–1.5 × 1.2–1.5 mm2 versus 1.0 × 1.0 mm2) likely resulted in partial volume effects at the vessel edge. It has previously been reported that accurate blood volume flow rates can be determined with ~ 3 pixels per vessel diameter [30]. As a check of this requirement, the minimum vessel area across all 4D flow measurements (RPA = 21.5 mm2) was assumed to have a circular contour. This corresponds to an approximate diameter of 3.5 voxels at 1.5 × 1.5 × 1.5 mm3 resolution. Third, flow waveform data points are less frequently sampled due to a roughly 2 times lower temporal resolution from 4D flow CMR (45–62 ms versus 24–33 ms). These temporal resolution differences likely contribute to the bias seen here, though may be dependent on the shape of the flow waveform [31]. As shown in the vessel color-coded Bland-Altman analysis and boxplots (Additional file 5: Figure. S2 and Additional file 6: Figure. S3), this is particularly evident in larger vessels such as the MPA, ductus arteriosus, and DAo. Finally, as 4D flow CMR was performed at the end of lengthy scans, maternal cardiac output may have been lowered due to the cumulative effect of hours of anesthesia [32].

Indexed flows (mL/min per kg) determined with 4D CMR were on the order of those previously reported in humans [8, 9] and sheep [10, 20], and far lower than those presented in mice [7]. Variability within and between these groups indicates the need for further studies and more advanced tools, such as 4D flow CMR, to probe a regional evaluation of fetal circulation that can be applied across species. Some variation may arise from the need to anesthetize animals for CMR studies, however fetal blood gases were in the normal range in the current study. Despite interspecies variation and potential blood flow perturbations from anesthesia, it is important to point out the similarity in %CVO across species for each measured vessel. This, coupled with the moderate internal consistency discussed above, offers assurance for the capability of 4D flow CMR to characterize the regional distribution of flow across fetal structures of varying size.

This study had certain limitations. First, maternal respiration caused considerable variability in image quality and inconsistent identification and segmentation of vessels of interest. Respiratory navigator gating was turned off to reduce total acquisition time, at the cost of motion artifact and noise. Single-slice scans, such as 2D PC CMR, do not suffer as much from respiratory motion as they can be tailored to be frequency encoded along the direction of respiratory motion. Future work will explore the use of 4D flow CMR acquisitions and reconstructions that measure and compensate for this respiratory motion and residual bulk fetal motion. Another limitation lies in the small cohort with full anatomical view and insufficient statistical power to evaluate clinically relevant covariates. Because this study had low numbers, no inter-group analyses (e.g. between fetal size or oxygen status) could be performed and all fetal sheep were grouped into one cohort. Future experiments will allow for these factors to be systematically explored.

Conclusion

In conclusion, normal fetal development relies on a complex circulatory system that is notably different than post-natal circulation. Improving the understanding of fetal blood flow patterns has inherent medical and educational relevance, especially in studying normal physiological circulation. The work presented here provides insight into the physical mechanism by which the fetus preferentially supplies oxygen-rich blood to essential organs such as the brain and the heart, and lays a foundation for preclinical studies of fetal cardiovascular physiology using volumetric PC CMR.

Notes

Acknowledgements

We gratefully acknowledge the technical support of the South Australian Health and Medical Research Institute node of the National Imaging Facility. We thank Stacey Holman and Wendy Bonner for their assistance in fetal surgery and post-operative care of the ewe and fetus, and Raj Perumal for MRI acquisition.

Funding

EMS was funded by a research fellowship from the Labatt Family Heart Centre at the Hospital for Sick Children and Canadian Institutes of Health Research Grant PJT148505.

JLM was funded by a NHMRC Career Development Fellowship (APP1066916) and an Australian Research Council Future Fellowship (Level 3; FT170100431).

JRTD, JS and MCL were funded by Australian Government Research Training Program (RTP) scholarships.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

EMS participated in the analysis and interpretation of data, and drafting the manuscript and revising it critically for important intellectual content. BSS participated in the acquisition of the data, and drafting the manuscript and revising it critically for important intellectual content. JRTD, JS, and MCL participated in the acquisition of the data, and drafting the manuscript and revising it critically for important intellectual content. ES participated in study design, and drafting the manuscript and critically revising it for important intellectual content. GS participated in interpretation of data and drafting the manuscript and critically revising it for important intellectual content. J.G.S. participated in the conception of the work, and critically revising the manuscript for important intellectual content. J.L.M. participated in the conception of the work, the acquisition and interpretation of the data, and drafting the manuscript and critically revising it for important intellectual content. M.S. participated in the conception of the work, the interpretation of the data, and critically revising the manuscript for important intellectual content. C.K.M. participated in design of the work, the interpretation of the data, and drafting the manuscript and critically revising it for important intellectual content.

Ethics approval and consent to participate

All procedures were approved by the South Australian Health and Medical Research Institute’s Animal Ethics Committee and complied with the Australian code of practice for the care and use of animals for scientific purposes.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary material

12968_2018_512_MOESM1_ESM.tif (7.7 mb)
Additional file 1: Figure S1. Normal course of fetal circulation with locations of conservation of mass calculation overlaid as colored segments: IVCp = RHV + DV + IVCd (yellow, n = 7); SVC + IVCp = MPA + FO (green, n = 4); MPA = DA + PBF (red, n = 4); IVCp = DAo (blue, n = 8). DV: ductus venosus; IVCd: distal inferior vena cava; IVCp: proximal inferior vena cava; SVC: superior vena cava; FO: foramen ovale; MPA: main pulmonary artery; PBF: pulmonary blood flow; DA: ductus arteriosus; DAo: descending aorta. (TIF 7890 kb)
12968_2018_512_MOESM2_ESM.gif (13.4 mb)
Additional file 2: Movie 1. Animated particle traces in a cranial view of cardiac structures in a sheep fetus, shown over two cardiac cycles. Particles are emitted from the main pulmonary artery (MPA) and ascending aorta (AAo), and color-coded based on speed of streaming blood. (GIF 13701 kb)
12968_2018_512_MOESM3_ESM.gif (5.7 mb)
Additional file 3: Movie 2. Animated particle traces in an oblique ventral view, shown over two cardiac cycles. Particles are emitted from the superior vena cava (SVC, blue) and proximal inferior vena cava (IVCp, red). MPA: main pulmonary artery; AAo: ascending aorta. (GIF 5828 kb)
12968_2018_512_MOESM4_ESM.gif (6.5 mb)
Additional file 4: Movie 3. Animated particle traces in ventral view of cardiac structures in a sheep fetus, shown over two cardiac cycles. Traces are emitted from the ductus venosus (DV, red) and from the distal inferior vena cava (IVCd, blue). RV: right ventricle; LV: left ventricle; FO: foramen ovale. (GIF 6613 kb)
12968_2018_512_MOESM5_ESM.tif (224 kb)
Additional file 5: Figure S2. Linear regression (left) and Bland-Altman (right) analysis comparing 2D PC MRI and 4D flow MRI, with individual color-coded vessels across all subjects. (TIF 224 kb)
12968_2018_512_MOESM6_ESM.tif (1.8 mb)
Additional file 6: Figure S3. Boxplot comparison between 2D PC MRI (blue boxes) and 4D flow MRI (black boxes) for each individual vessel. Greater underestimation of 4D flow MRI is seen in the DAo and DA. (TIF 1826 kb)

References

  1. 1.
    Edelstone DI, Rudolph AM. Preferential streaming of ductus venosus blood to the brain and heart in fetal lambs. Am J Phys. 1979;237:H724–9.Google Scholar
  2. 2.
    Rudolph AM, Heymann MA. The circulation of the fetus in utero. Methods for studying distribution of blood flow, cardiac output and organ blood flow. Circ Res. 1967;21:163–84.CrossRefGoogle Scholar
  3. 3.
    Limperopoulos C, Tworetzky W, McElhinney DB, Newburger JW, Brown DW, Robertson RL Jr, Guizard N, McGrath E, Geva J, Annese D, et al. Brain volume and metabolism in fetuses with congenital heart disease: evaluation with quantitative magnetic resonance imaging and spectroscopy. Circulation. 2010;121:26–33.CrossRefGoogle Scholar
  4. 4.
    Sun L, Macgowan CK, Sled JG, Yoo SJ, Manlhiot C, Porayette P, Grosse-Wortmann L, Jaeggi E, McCrindle BW, Kingdom J, et al. Reduced fetal cerebral oxygen consumption is associated with smaller brain size in fetuses with congenital heart disease. Circulation. 2015;131:1313–23.CrossRefGoogle Scholar
  5. 5.
    Duan AQ, Lock MC, Perumal SR, Darby JR, Soo JY, Selvanayagam JB, Macgowan CK, Seed M, Morrison JL. Feasibility of detecting myocardial infarction in the sheep fetus using late gadolinium enhancement CMR imaging. J Cardiovasc Magn Reson. 2017;19:69.CrossRefGoogle Scholar
  6. 6.
    Schmidt KG, Silverman NH, Rudolph AM. Assessment of flow events at the ductus venosus-inferior vena cava junction and at the foramen ovale in fetal sheep by use of multimodal ultrasound. Circulation. 1996;93:826–33.CrossRefGoogle Scholar
  7. 7.
    Zhou YQ, Cahill LS, Wong MD, Seed M, Macgowan CK, Sled JG. Assessment of flow distribution in the mouse fetal circulation at late gestation by high-frequency Doppler ultrasound. Physiol Genomics. 2014;46:602–14.CrossRefGoogle Scholar
  8. 8.
    Seed M, van Amerom JF, Yoo SJ, Al Nafisi B, Grosse-Wortmann L, Jaeggi E, Jansz MS, Macgowan CK. Feasibility of quantification of the distribution of blood flow in the normal human fetal circulation using CMR: a cross-sectional study. J Cardiovasc Magn Reson. 2012;14:79.CrossRefGoogle Scholar
  9. 9.
    Prsa M, Sun L, van Amerom J, Yoo SJ, Grosse-Wortmann L, Jaeggi E, Macgowan C, Seed M. Reference ranges of blood flow in the major vessels of the normal human fetal circulation at term by phase-contrast magnetic resonance imaging. Circ Cardiovasc Imaging. 2014;7:663–70.CrossRefGoogle Scholar
  10. 10.
    Duan AQ, Darby JRT, Soo JY, Lock MC, Zhu MY, Flynn LV, Perumal SR, Macgowan CK, Selvanayagam JB, Morrison JL, Seed M. Feasibility of phase-contrast cine magnetic resonance imaging for measuring blood flow in the sheep fetus. Am J Physiol Regul Integr Comp Physiol. 2017.  https://doi.org/10.1152/ajpregu.00273.2017.
  11. 11.
    Markl M, Frydrychowicz A, Kozerke S, Hope M, Wieben O. 4D flow MRI. J Magn Reson Imaging. 2012;36:1015–36.CrossRefGoogle Scholar
  12. 12.
    Grundy D. Principles and standards for reporting animal experiments in the journal of physiology and experimental physiology. J Physiol. 2015;593:2547–9.CrossRefGoogle Scholar
  13. 13.
    Kilkenny C, Browne W, Cuthill IC, Emerson M, Altman DG, Group NCRRGW. Animal research: reporting in vivo experiments: the ARRIVE guidelines. Br J Pharmacol. 2010;160:1577–9.CrossRefGoogle Scholar
  14. 14.
    Morrison JL, Chien C, Gruber N, Rurak D, Riggs W. Fetal behavioural state changes following maternal fluoxetine infusion in sheep. Brain Res Dev Brain Res. 2001;131:47–56.CrossRefGoogle Scholar
  15. 15.
    Poudel R, McMillen IC, Dunn SL, Zhang S, Morrison JL. Impact of chronic hypoxemia on blood flow to the brain, heart, and adrenal gland in the late-gestation IUGR sheep fetus. Am J Phys Regul Integr Comp Phys. 2015;308:R151–62.Google Scholar
  16. 16.
    Yamamura J, Schnackenburg B, Kooijmann H, Frisch M, Hecher K, Adam G, Wedegartner U. High resolution MR imaging of the fetal heart with cardiac triggering: a feasibility study in the sheep fetus. Eur Radiol. 2009;19:2383–90.CrossRefGoogle Scholar
  17. 17.
    Loecher M, Schrauben E, Johnson KM, Wieben O. Phase unwrapping in 4D MR flow with a 4D single-step laplacian algorithm. J Magn Reson Imaging. 2016;43:833–42.CrossRefGoogle Scholar
  18. 18.
    Callaghan FM, Kozor R, Sherrah AG, Vallely M, Celermajer D, Figtree GA, Grieve SM. Use of multi-velocity encoding 4D flow MRI to improve quantification of flow patterns in the aorta. J Magn Reson Imaging. 2016;43:352–63.CrossRefGoogle Scholar
  19. 19.
    Gulsun MA, Jolly MP, Guehring J, Guetter C, Littmann A, Greiser A, Markl M, Stalder AF. A novel 4D flow tool for comprehensive blood flow analysis. In: Proceedings of the 20th annual meeting ISMRM; Melbourne, Australia; 2012. p. 1176.Google Scholar
  20. 20.
    Rudolph AM. Congenital Diseases of the Heart: Clinical-Physiological Considerations. 3rd ed. West Sussex: Wiley-Blackwell; 2009.Google Scholar
  21. 21.
    Bland JM, Altman DG. Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat. 2007;17:571–82.CrossRefGoogle Scholar
  22. 22.
    Jensen A, Berger R. Fetal circulatory responses to oxygen lack. J Dev Physiol. 1991;16:181–207.PubMedGoogle Scholar
  23. 23.
    Paulick RP, Meyers RL, Rudolph CD, Rudolph AM. Hemodynamic responses to alpha-adrenergic blockade during hypoxemia in the fetal lamb. J Dev Physiol. 1991;16:63–9.PubMedGoogle Scholar
  24. 24.
    Sideris EB, Yokochi K, Coceani F, Olley PM. Prostaglandins and fetal cardiac output distribution in the lamb. Am J Phys. 1985;248:H853–8.Google Scholar
  25. 25.
    van Bel F, Sola A, Roman C, Rudolph AM. Perinatal regulation of the cerebral circulation: role of nitric oxide and prostaglandins. Pediatr Res. 1997;42:299–304.CrossRefGoogle Scholar
  26. 26.
    Tchirikov M, Eisermann K, Rybakowski C, Schroder HJ. Doppler ultrasound evaluation of ductus venosus blood flow during acute hypoxemia in fetal lambs. Ultrasound Obstet Gynecol. 1998;11:426–31.CrossRefGoogle Scholar
  27. 27.
    Wentland AL, Grist TM, Wieben O. Repeatability and internal consistency of abdominal 2D and 4D phase contrast MR flow measurements. Acad Radiol. 2013;20:699–704.CrossRefGoogle Scholar
  28. 28.
    Macdonald JA, Corrado PA, Nguyen SM, Johnson KM, Francois CJ, Magness RR, Shah DM, Golos TG, Wieben O. Uteroplacental and fetal 4D flow MRI in the pregnant rhesus macaque. J Magn Reson Imaging. 2018.Google Scholar
  29. 29.
    Wahlin A, Ambarki K, Hauksson J, Birgander R, Malm J, Eklund A. Phase contrast MRI quantification of pulsatile volumes of brain arteries, veins, and cerebrospinal fluids compartments: repeatability and physiological interactions. J Magn Reson Imaging. 2012;35:1055–62.CrossRefGoogle Scholar
  30. 30.
    Hofman MB, Visser FC, van Rossum AC, Vink QM, Sprenger M, Westerhof N. In vivo validation of magnetic resonance blood volume flow measurements with limited spatial resolution in small vessels. Magn Reson Med. 1995;33:778–84.CrossRefGoogle Scholar
  31. 31.
    Hangiandreou NJ, Rossman PJ, Riederer SJ. Analysis of MR phase-contrast measurements of pulsatile velocity waveforms. J Magn Reson Imaging. 1993;3:387–94.CrossRefGoogle Scholar
  32. 32.
    Palahniuk RJ, Shnider SM. Maternal and fetal cardiovascular and acid-base changes during halothane and isoflurane anesthesia in the pregnant ewe. Anesthesiology. 1974;41:462–72.CrossRefGoogle Scholar

Copyright information

© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Eric M. Schrauben
    • 1
    Email author
  • Brahmdeep Singh Saini
    • 2
    • 3
  • Jack R. T. Darby
    • 4
  • Jia Yin Soo
    • 4
  • Mitchell C. Lock
    • 4
  • Elaine Stirrat
    • 1
  • Greg Stortz
    • 1
  • John G. Sled
    • 1
    • 5
  • Janna L. Morrison
    • 4
  • Mike Seed
    • 6
    • 7
  • Christopher K. Macgowan
    • 1
    • 5
  1. 1.Translational Medicine, Hospital for Sick ChildrenTorontoCanada
  2. 2.Heart Centre, Hospital for Sick ChildrenTorontoCanada
  3. 3.Institute of Medical Science, Faculty of Medicine, University of TorontoTorontoCanada
  4. 4.Early Origins of Adult Health Research Group, School of Pharmacy and Medical Sciences, Sansom Institute for Health Research, University of South AustraliaAdelaideAustralia
  5. 5.Department of Medical Biophysics, University of TorontoTorontoCanada
  6. 6.Division of Cardiology, Hospital for Sick ChildrenTorontoCanada
  7. 7.Department of PaediatricsUniversity of TorontoTorontoCanada

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