Decreased oxygen saturation levels in neonates with transposition of great arteries: Impact on appearance of cerebral veins in susceptibility-weighted imaging
SCIeNTIfIC RePoRts |
Decreased oxygen saturation levels in neonates with transposition of great arteries: Impact on appearance of cerebral veins in susceptibility-weighted imaging
Rajeev Kumar Verma 0 1
Desislava Keller 0
Sebastian Grunt 2
Sandra Bigi 2
Roland Wiest 0
Jan Gralla 0
Damian Hutter 3
Bendicht Wagner 4
0 University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern , Bern , Switzerland
1 Institute of Radiology and Neuroradiology, Tiefenau Hospital, Division Stadt , Inselgroup, Bern , Switzerland
2 University Department of Pediatrics, Division of Pediatric Neurology, Development and Rehabilitation, Inselspital, University of Bern , Bern , Switzerland
3 University Department of Pediatrics, Division of Pediatric Cardiology, Inselspital, University of Bern , Bern , Switzerland
4 University Department of Pediatrics, Division of Pediatric Intensive Care Medicine, Inselspital Bern, University of Bern , Bern , Switzerland. Rajeev Kumar Verma
OPEN Published: xx xx xxxx Purpose of this study was to investigate a potential correlation between the pattern of cerebral veins (CV) on susceptibility-weighted imaging (SWI) and blood oxygen saturation, as well as preoperative brain injury, in neonates with transposition of the great arteries (TGA). Eleven neonates with TGA underwent MRI preoperatively, including SWI, T1- and T2-weighted scans. Images were retrospectively evaluated and appearance of CV was graded from 0 (normal appearance) to 3 (severe prominent appearance). White matter injuries (WMI) and strokes were analysed. Results were correlated with preductal arterial oxygen saturation. As findings one subject showed a normal CV appearance (grade 0) whereas 10 showed pathological prominent CV (grades 1-3); median 2. Mean oxygen saturation ranged between 67.5% and 89.0% (median 81.0%). CV grade and mean oxygen saturation correlated significantly (p = 0.011). WMI were absent in 5 cases, mild in 4, and moderate in 2 cases. We conclude, that SWI has the potential to be used to estimate the current hypoxic burden on brain tissue in TGA newborns by assessing the prominence of the CV.
Severe congenital heart disease (CHD) is a common cause of childhood morbidity with a prevalence of 8 per 1000
live births in Europe1. Advances in diagnostics, cardiac surgery and intensive care medicine have significantly
reduced mortality by enabling early surgical repair of most severe defects2,3. In neonates with transposition of
the great arteries (TGA), the neonatal arterial switch operation for correction is widely performed because it
has good cardiovascular and survival outcomes. However, neurodevelopmental disabilities have emerged as the
most common long-term complication of CHD in the surviving subjects4,5. Neurocognitive impairment affects
many functions, e.g. executive function, motor development, memory and attention6,7. More than 50% of
neonates with CHD show neurological abnormalities preoperatively8. Conventional MRI studies showed that brain
injury with white matter lesions and cerebral strokes occurred before surgery in newborns with CHD9?14. A
possible cause is preoperative hypoxia15?17. Studies using advanced MRI techniques revealed further
abnormalities, e.g. reduced or diminished white matter microstructure in adolescents with CHD, using diffusion tensor
imaging (DTI)18, or elevated lactate in neonates with CHD, using magnetic resonance spectroscopic imaging
(MRSI)19. Susceptibility-weighted imaging (SWI) is a relatively new, but already well-established sequence. It is
a high-resolution gradient-echo (GRE) MRI sequence with fully velocity-compensated pulse. Differences in the
susceptibility properties of various tissues can be differentiated by post-processing the magnitude images using
a phase mask, thereby emphasizing the magnetic properties of different susceptibility effects. SWI has improved
diagnostic accuracy, e.g. through detecting and evaluating intracranial haemorrhage, haemorrhagic
transformation of stroke or calcification20?22. In the cerebral veins (CV), decreased oxygen saturation correlates with an
increase of de-oxygenated haemoglobin that leads to a prominent appearance of these veins23. This phenomenon
is used for diagnostic purposes. Prominent CV were described in stroke patients in the perfusion-disturbed
areas after thromboembolic occlusion20?24 and in patients with hemiplegic migraine25 due to hypoperfusion. The
opposite effect, with diminished CV, was demonstrated in patients with hyperperfusion in status epilepticus and
in hyperventilated patients26,27. A correlation between blood oxygen levels and prominence of CV has been also
described27,28. Changes in blood oxygenation levels are well-known to also affect the signal intensity of cerebral
veins in SWI29. Kitamura et al. introduced at first a scoring system of ?prominence of vein? using SWI to asses
neonatal hypoxic ? ischemic injury. In this study a correlation of patients with ?abnormal? ?prominence of vein?
and abnormal intermediate-term to long-term neurologic outcome was found30. Neonates with TGA suffer from
low arterial oxygen saturation. It is assumed that the degree and duration of preoperative hypoxia is a risk factor
for later neurocognitive deficits8. While white matter lesions in MRI scans reveal chronic brain injury, the
prominence of CV in the SWI is a dynamic feature of the current shortage of oxygen supply.
Given these points, the aim of this study was to investigate whether a presumed general prominence of CV
could be used diagnostically to estimate the current hypoxic burden on brain tissue. We hypothesized a
correlation between the preoperative oxygen saturation in patients suffering from TGA and the prominence of CV in
SWI, which reflects the deoxygenated share of haemoglobin. Further, a correlation between preoperative brain
injury (amount of white matter lesions) and the grading of prominence of CV was analysed.
Materials and Methods
Patient data. The retrospective study was approved by the local Ethics Committee (Kantonale
Ethikkommission Bern, Switzerland) and was carried out according to the Declaration of Helsinki31. An informed
consent of the patients was not necessary due to the retrospective study design.
Subjects who met the inclusion criteria for this descriptive case study were term neonates with confirmed
TGA who underwent routine preoperative MRI, and were hospitalized in our paediatric intensive care unit. Only
neonates with TGA were included, because of the quite similar circulation anomaly in these patients, but variable
blood oxygen saturation. During the MR examination all patients were sedated with either midazolam i.v. (total
dose between 0.1 mg and 3.1 mg) and/or chloral hydrate p.o. (total dose between 60 mg and 300 mg). In individual
cases rocuronium i.v. and/or ketamine i.v. was injected (up to 3.2 mg, and up to 3.5 mg, respectively). None of the
children received propofol medication, because of the risk for propofol infusion syndrome. Mandatory sequences
for this study were SWI, T1- and T2-weighted images. A further inclusion criterion was availability of values
for arterial oxygen saturation (measured by means of both arterial blood gas analysis and pulse oximetry) and
arterial carbon dioxide (CO2) (measured by means of arterial blood gas analysis) that had been recorded on the
same day that the patient underwent MRI. Concentrations of serum glucose in mmol/L, blood haemoglobin in
g/L, blood pH, and heart rate in beats/min were noted. Further, for a higher objectivity three values of preductal
peripheral oxygen saturation (SaO2) during or close to MRI examination were determined: first the blood arterial
oxygen saturation (blood gas analysis data closest to SWI acquisition time), second the single peripheral oxygen
saturation measurement (pulse oximetry data closest to SWI acquisition time), and third the mean of peripheral
oxygen saturation measurements, measured in between 2 h before and after SWI acquisition (pulse oximetry
data). Patient data were excluded if image quality was poor, e.g. due to motion artifacts, if MRI data had not been
acquired due to cardiovascular instability, or if the patient had a complex form of TGA, e.g. TGA with a single
Data acquisition. All imaging studies were performed using 1.5 T Siemens scanners (Magnetom Avanto and
Magnetom Aera; Siemens Medical Solutions, Erlangen, Germany) with 12-channel head coils. The MRI protocol
included axial SWI, T1 turbo spin echo (TSE) and T2 TSE. The following parameters were used.
Magnetom Avanto. SWI parameters: TR 49 ms, TE 40 ms, FoV read 230 mm, FoV phase 68.8%, voxel size
0.9 mm ? 0.7 mm ? 1.2 mm, slice thickness 1.2 mm, acquisition time 5:07 min. The SWI and minimum intensity
projection (mIP) images were generated automatically by the scanner software. T1 TSE parameters: TR 1000
ms, TE 13 ms, FoV 200 ? 200, slice thickness 3 mm, acquisition time 4:51 min. T2 TSE parameters: TR 4260 ms,
TE 113 ms, FoV 200 ? 200, slice thickness 3 mm, acquisition time 4:43 min. Diffusion-weighted imaging (DWI)
parameters: TR 6400 ms, TE 89 ms, FoV 230 ? 230, slice thickness 3 mm, acquisition time: 2:54 min.
Magnetom Aera. SWI parameters:TR 49 ms, TE 40 ms, FoV read 230 mm, FoV phase 90.6%, voxel size
0.9 mm ? 0.9 mm ? 2.0 mm, slice thickness 2.0 mm, acquisition time 3:27 min. The SWI and mIP images were
generated automatically by the scanner software. T1 TSE parameters: TR 1380 ms, TE 12 ms, FoV 200 ? 200,
slice thickness 3 mm, acquisition time 4:47 min. T2 TSE parameters: TR 4380 ms, TE 107 ms, FoV 200 ? 200,
slice thickness 3 mm, acquisition time 2:50 min. DWI parameters: TR 5700 ms, TE 64 ms, FoV 230 ? 230, slice
thickness 4 mm, acquisition time: 3:31 min.
Data analysis. MRI sequences for all patients were reviewed independently by two board-certified
neuroradiologists (RKV and DK for SWI, T1-weighted and T2-weighted images; RKV and CW for DWI). Other than
knowing that these were TGA cases, they were blinded to the clinical course. MRI scans were assessed on our
picture archiving and communication system (PACS) separately, in a standardized order: first SWI, followed by
T1-weighted and T2-weighted images. When examining the SWI, both neuroradiologists classified the global
prominence of CV according to 4 grades in the minimum intensity projection images (mIP): Grade 0: normal
signal intensity, number, and diameter of cortical veins and deep veins (one or more veins up to 0.9 mm and
1.1 mm in diameter, respectively); no visible veins in the semioval centre. Grade I: slightly decreased signal
intensity, increased number and diameter of cortical veins and deep veins (one or more veins up to 1.1 mm and 1.3 mm
in diameter, respectively); virtually no visible veins in the semioval centre. Grade II: moderately decreased signal
intensity, increased number and diameter of cortical veins and deep veins (one or more veins up to 1.4 mm and
1.7 mm in diameter, respectively); slightly to moderately visible veins in the semioval centre. Grade III: distinctly
decreased signal intensity, increased number and diameter of hypointense cortical veins and deep veins (one or
more veins up to 1.7 mm and 2.4 mm in diameter, respectively); distinctly visible veins in the semioval centre (see
Fig.?1). This grading might vary depending on individual anatomical conditions, the strength of the magnetic
field or the MR manufacturer, and therefore be imprecize. Hence, we included further typical characteristics of
prominent CVA (increased number of cerebral veins, increased signal intensity of cerebral veins, increased
diameter of cerebral veins, and visible veins in the semioval centre) for a more objective and differentiated grading.
Further, for two reasons we did not exactly use the ?prominence of vein? scoring system introduced by Kitamura
et al.30, but modified it. For evaluation only the deep medullary veins were used in this system. Meanwhile many
studies have revealed the usefulness of both cortical and deep veins for evaluation of vein prominence22?25. For a
higher sophistication we included these veins in our scoring system. Secondly, in some recently published studies
diminished cerebral veins occur in case of a higher cerebral blood flow or increased oxygen supply most likely
resulting in higher oxygenated haemoglobin levels26?28. Since TGA patients suffer from low oxygen saturation
levels, leading to increased deoxygenated haemoglobin levels, we have not applied Grade 1 of the Kitamura scoring
(absent deep medullary veins).
For evaluation of white matter injuries (WMI) and cerebral strokes we used a score previously described
by McQuillen et al.13. In T2- and T1-weighted images, WMI and white matter strokes were analysed and
counted: WMI were defined as lesions measuring <2 mm of abnormal T1-hyperintensity or of low intensity on
T1-weighted images in the absence of marked T2-hypointensity13,16. Severity of WMI was classified as absent (0
areas of T1 signal abnormality); mild (?3 areas of T1 signal abnormality measuring <2 mm); moderate (>3 areas
of T1 signal abnormality measuring <2 mm or areas of T1 signal abnormality measuring >2 mm but covering
<5% of the cerebral hemisphere); or severe (T1 signal abnormality covering >5% of the cerebral hemisphere)
(see Fig.?2A to C). Cerebral strokes were defined as focal regions of ?3 mm with or without diffusion restriction
on DWI12 (see Fig.?2D to F). In a final session, a consensus reading was performed in cases of disagreement.
Statistical analysis. For statistical analysis the SPSS statistics software package was used (IBM, Armonk,
N.Y., USA). A non-parametric, two-sided Kendall rank correlation coefficient test was applied to verify whether
the two variables (prominence of CV and arterial blood oxygen levels) were statistically dependent. A p-value of
<0.05 was considered significant. Median and total range for all parameters was determined (SWI grade, WMI,
white matter strokes, arterial blood oxygen saturation, arterial blood pCO2, blood glucose, blood haemoglobin,
blood pH, single monitored oxygen saturation measurement, and mean monitored oxygen saturation value).
For interrater reliability of findings in SWI, T1w and T2w sequences in MRI scans, a Cohens-Kappa test was
performed and the interrater reliability was classified according to Landis and Koch32.
Data availability. The datasets generated during and/or analysed during the current study are not publicly
available due to preclusion from dissemination following Swiss Federal Law Regulations, but are available from
the corresponding author on reasonable request.
Subjects and clinical data. Between March 2011 and July 2015, 11 patients (8 male and 3 female; mean age
5.7 days at time of MRI acquisition) fulfilled the inclusion criteria.
Arterial blood oxygen saturation ranged between 66.0 and 88.0% (median 75%; n = 11) and was low in all
subjects (normal range 93?98%). Monitored preductal single oxygen saturation value closest to the time of SWI
acquisition ranged between 64.0% and 86.0% (median 84.5; n = 10), and monitored mean preductal oxygen
saturation values (measured in between 2 h before and after SWI acquisition) ranged between 68.0% and 89.0%
(median 82.0%; n = 10).
SWI (total (total
grade areas) areas)
3 1 0
closest single SaO2 SaO2 mean (in
blood time between measurement to SWI %) monitoring
art. pH blood- taking acquisition (in %) data (no. of
pCO2 Glc (normal and MRI monitoring data (time measurements
mmHg mmol/L Hb g/L range acquisition distance in parentheses) in brackets)
39 4.9 171 7.45 7 h 57 min 64 (5 min) 70.8 (
Arterial pCO2 ranged between 36 and 55 mm Hg (median 41 mm Hg; n = 11). Blood glucose ranged between
4.5 and 6.3 mmol/L, median 5.2 (n = 10). Haemoglobin values were between 124 and 177 g/L, median 144
(n = 11). pH ranged between 7.34 and 7.45, median 7.37 (n = 11); see Table?1 for details.
Blood CO2 and blood haemoglobin were in the upper standard value range in 2 subjects. Blood glucose was
normal in all patients.
Imaging findings. One subject showed a normal cerebral veins appearance (CVA) (grade 0) while 10 showed
prominent CVA (4 patients with grade 1, 4 patients with grade 2, and 2 patients with grade 3); range between
grade 0 and 3; median 2. Severity of WMI was graded as absent in 5 cases with no WMI, mild in 4, and moderate
in 2 cases. Only one patient showed white matter strokes in the territory of the left middle cerebral artery with 3
lesions >2 mm. Furthermore, in one patient two acute ischaemic areas were found, in 3 patients 1 acute ischaemic
area was found and 7 patients had no acute ischaemia (Table?1).
Patient No. 8 underwent follow-up MR imaging postoperatively, with an oxygen saturation of 95% and a
normalized CV appearance Grade of 0 (see Fig.?3B).
Statistical analysis. The interrater reliability was high (Kappa= 0.869 [p < 0.001]) for the grade of cerebral
venous prominence in SWI, as well as for the WMI in T1-weighted and T2-weighted images (Kappa = 0.861
[p < 0.001]). Interrater reliability for acute ischaemic findings was high too (Kappa = 0.907 [p = 0.02]).
Three values of oxygen saturation were analysed (Fig.?4 for illustration): the blood arterial oxygen saturation
(Fig.?4A, blood data closest to SWI acquisition time), single peripheral oxygen saturation measurement (Fig.?4B;
pulse oximetry data closest to SWI acquisition time), and mean of peripheral oxygen saturation measurements,
measured ? 2 h of SWI acquisition (Fig.?4C; pulse oximetry data). A significant correlation was found for blood
arterial oxygen saturation (p = 0.01, Kendall?s tau = ?0.657; Fig.?4A), and for mean peripheral oxygen saturation
(p = 0.011, Kendall?s tau = ?0.680; Fig.?4C), but not for single peripheral oxygen saturation, measurement closest
to SWI measurement (p = 0.147, Kendall?s tau = ?0.401; Fig.?4B) due to a statistical outlier (patient No. 6: SWI
grade 3 and 86% SaO2).
No significant correlation was seen between severity of WMI and prominence of CV in SWI
(p = 0.721,Kendall?s tau = 0.099), nor was any significant correlation found between acute ischaemia in DWI and
prominence of CV in SWI (p = 1.0, Kendall?s tau = 0.0) or between CVA and blood CO2, blood glucose, blood
haemoglobin, and blood pH (p-values between 0.243 and 0.679, Kendall?s tau between ?0.302 and 0.194).
The main finding of our investigation is a significant correlation between the prominence of CVA and blood
oxygen saturation levels. In our study only one newborn showed a normal appearance of the CV, whereas 10 revealed
a pathological venous pattern with presumed higher deoxyhaemoglobin levels, significantly correlating with the
arterial blood oxygen saturation (blood arterial oxygen saturation and monitored mean oxygen saturation). Only
monitored single oxygen saturation measurements showed no significant correlation, because of an outlier value
(patient No. 6 with 86% oxygen saturation and prominence of CV of grade 3). To the best of our knowledge this
is the first report showing a significant correlation between blood arterial oxygen saturation levels and the extent
of prominent CV in SWI of newborns suffering from TGA. However, in a recently published study by ?ztoprak
on 19 adult patients with pulmonary embolism, a significant correlation between presence of prominent veins on
SWI and hypoxemia33 was found, which is in line with our results. Further, our findings are in accordance with
a recently published experimental study by Patzig et al.34. In their study 16 healthy adult volunteers underwent
MRI under room air conditions, short-term hypoxia (7 minutes before and during the MRI scan), and long-term
hypoxia (8.5 hours before and during the MRI scan). The 9 subjects who were finally included in the study showed
significantly lower signal intensities of CV in the scans under conditions of hypoxia. However, our study is the
first to investigate a patient population with chronically low arterial blood oxygen levels.
Blood CO2 is another parameter with an influence on CVA. For example, in a recently published study, a
correlation between hyperventilation (in which CO2 is expelled leading to a vasoconstriction with lower cerebral
blood flow) and higher signal intensity in CV was demonstrated, indicating a lower venous blood oxygenation
level during hyperventilation28. Sedlacik et al. revealed a significant correlation between high etCO2 and cerebral
blood flow with weak venous contrast in SWI35 in spontaneously breathing patients sedated with propofol. Since
etCO2 and blood bicarbonate levels show a significant correlation36, blood CO2 might have influenced the CVA
in our study. The difference between etCO2 and PaCO2 is stated to be 2?5 mm Hg with higher values for PaCO237.
Based on the findings of Sedlacik et al. etCO2 should be kept as low as possible to obtain a good venous contrast
in SWI. With a maximal etCO2 value of 30?35 mmHg CBF in sedated children is not artificially elevated38,39.
Although in our subjects, blood CO2 was normal, with a median of 41 mm Hg it might have influenced the CVA,
even by subtracting 2?5 mm Hg, since it is still higher than 30?35 mm Hg and might lead to an increase of CBF.
However, in case of an elevated blood CO2 and CBF a weak venous contrast would be expected. In our subjects
a stronger venous contrast is observed, therefore we assume the influence of blood CO2 is presumably low to
negligible. Further blood parameters with a potential to lead to bias were in the normal range (median of blood
glucose 5.2 mmol/L; median of blood haemoglobin 144 g/L; and median pH of blood, 7.37). These findings
indicate that the changes in CVA are most likely caused by the blood oxygen saturation levels, correlating with other
Many studies have demonstrated that newborns with complex CHD have abnormal brain development with
brain injuries and delayed brain maturation9?11. Preoperatively, neonates with TGA exhibit brain injury which is
Further, using a retrospective study design we analysed a standard SWI sequence and graded the prominence
of CV visually. Although the outcome was in line with our hypothesis, a more objective quantification of venous
prominence would be helpful. An example of a relatively new approach is quantitative susceptibility mapping
(QSM), using SWI for measuring oxygen saturation; it was introduced by Haacke et al.46 and has the potential
to provide quantitative estimations of oxygen saturation in CV. This technique uses phase images and has been
applied to CV in stroke patients for estimation of oxygen saturation in a recent study47. Both SWI and QSM are
gaining increasing acceptance in clinical practice48. In future studies, acquisition of SWI with phase images in
neonates with TGA would help to quantify the extent of oxygen shortage in CV.
Another limitation of the present study is the small number of patients. A larger cohort is needed to confirm
In conclusion, the appearance of prominent cerebral veins in SWI is a pathological finding in 10 of 11
newborns with TGA in our study. It indicates an increase of deoxygenated hemoglobin, and thus lack of oxygenated
hemoglobin. Our study demonstrated a significant correlation between the appearance of CV in SWI and the
arterial blood oxygen levels in neonates with TGA. SWI has the potential to be used to estimate the current
hypoxic burden on brain tissue by the effect on the appearance of CV. As a dynamic sequence SWI reflects the
oxygen shortage in a ?snapshot?, while other conventional sequences e.g. T1w or T2w images show chronic or
subacute ischaemic changes. Therefore SWI might be a helpful additional sequence to the MRI protocol for TGA
patients, to clarify the possibility and the extent of cerebral hypoxia (e.g before and after surgery), and rule out
other intracranial pathologies, like hemorrhagic transformation of ischemic regions. Further studies with a larger
cohort and SWI phase images would be beneficial to test our findings objectively by quantifying the cerebral
venous oxygen saturation.
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