Chunxiang Zhang1, Xin Zhao1, Jinxia Guo2, Kaiyu Wang2, Meiying Cheng1, Honglei Shang1, Xueyuan Wang1, Desheng Xuan1, Lingjie Zhang1, and Xiaoan Zhang1
1Department of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China, 2GE Healthcare, MR Research China, Beijing, China
Synopsis
Premature
infants with low-grade intraventricular hemorrhage (IVH) are accompanied by
neurodevelopmental abnormalities. Synthetic MRI is an emerging technology that
can provide brain volume quantification. Diffusion kurtosis imaging (DKI) can
be sensitive to assess brain microstructure changes. Smaller myelin volume, brain
parenchymal fraction, lower radial kurtosis value in cerebellum were associated
with lower neonatal behavioral neurological assessment. DKI and Synthetic MRI
are able to quantitatively evaluate the abnormality of the brain development in
preterm infants with low-grade IVH.
Introduction
Intraventricular
hemorrhage (IVH) is a characteristic form of brain injury occurring in
premature neonates[1]. There is
increasing evidence of abnormal neurodevelopmental outcomes in preterm infants
with low-grade intraventricular hemorrhage (IVH)[2]. DKI have showed
a potential advantage in detecting the normal brain development of infants [3]. Synthetic MRI
can quantitatively measure gray matter, white matter and other brain volume,
providing a fast and robust volume measurement method[4]. Neonatal
behavioral neurological assessment (NBNA) is designed to test neonatal
behavior, and allow early detection of mild brain damage for early intervention[5]. At present, it
is unclear whether there are structure-function related abnormalities in low-grade
IVH. Therefore, the aim of the current study
was to explore whether GM and WM microstructure and brain volume are associated
with developmental outcomes in low-grade IVH infants by using DKI and Synthetic
MRI.Material and Methods
According
to Papile classification system standard [3], we include preterm infants with
low-grade IVH (grade I-II). Finally,
25 cases in low-grade IVH group and 40 cases in healthy group were included.
All studies were performed on a 3.0 T MR imaging scanner (Pioneer, GE
Healthcare, Milwaukee, WI). DKI sequence parameters were: TR= 2000 ms, TE =
2.32 ms, directions=30, b value =0, 1000, 2000 mm²/s, slice thickness = 3.0 mm
without a gap, field of view = 256 mm × 256 mm, and acquisition time = 7.5
minutes. Synthetic MRI with parameters as follows: slice thickness = 3.0 mm,
field of view= 220 mm ×186 mm, scan time = 4 minutes. The mean kurtosis (MK),
radial kurtosis (RK), axial kurtosis (AK), fractional anisotropy (FA), mean
diffusivity (MD) maps were generated from DKI images. Synthetic MRI data were
processed to obtain the brain volumes (gray matter (GM); white matter (WM);
myelin (Myc); cerebrospinal fluid; and brain parenchymal fraction (BPF)) in with
SyMRI (vesion 8.0 Linköping, Sweden). Two professional radiologists outlined 7
regions of interest (ROIs) including posterior limbs of the internal capsule
(PLIC), anterior limbs of internal capsule (ALIC), genu of
the corpus callosum (GCC), splenium of the corpus callosum (SCC),
thalamus (TH), globus pallidum (GP), and cerebellum (Cere) in DKI parametric
maps to get the quantification in each brain region. The neurodevelopmental
assessment was performed at 40 weeks of corrected gestational age by using
neonatal behavioral neurological assessment[6]. Statistical
methods include: the chi-square test for qualitative variables, student’s
t-test for normal distribution quantitative variables, the Mann–Whitney U-test
and Spearman correlation analysis.
Results
Figure 1 displayed FA, MD, MK, RK and AK
images of preterm infant brain with low-grade IVH(A-E) and without IVH (F-G). As
shown in Figure 2, significant lower values of
the MK and FA values in PLIC, and GCC and RK values in cerebellum were found
between low-grade IVH group and control group (all P<0.05) As
shown in Table 1. The GM volume, myelin volume and BPF in the low-grade
IVH group was also lower than those in the control group (P<0.05). The
NBNA score of the low-level group also decreased, as
shown in Figure 3. RK in Cerebellum, Myc and BPF were all positively
correlated with NBNA (r=0.836,0.848 and 0.831, respectively, P<0.001), as
shown in Figure 4.Discussion
Our
findings indicate decreased MK and FA values in PLIC and GCC, RK values in
cerebellum in preterm infants with low grade IVH. The blood products activate
cytotoxic and inflammatory pathways, which may lead to tissue damage, or delays
axons or myelin sheaths formation[2]. The decrease of
MK and RK means that the neurons density decreased when brain damaged, and cell
connectivity is weakened [7]. At the same
time, FA reflects that the integrity of IVH children's fiber bundles is
affected. Relatively low FA and MK in GCC which mean that damage to this
specific corpus callosum area (reflected by the decrease in MK and FA) may
further explain the potential movement problems low-grade IVH[8].
Another
result was different volume changes of GM, MyC and BPF between the two group.
When IVH occurs, a large amount of inflammatory cytokines and free iron are
produced, which will damage the original cells of the germinal matrix and stop
the development[2]. This may
directly damage the cerebral cortex, also hinder myelination and the later
white matter development[9].
Myc
and BPF are associated with NBNA score outcomes in preterm infants with
low-grade IVH. smaller volumes of whole brain and Myc were associated with
poorer cognitive and movement outcomes in low-grade IVH[10]. We also found
that RK in cerebellum were positively correlated with NBNA. The influence of
low-grade IVH on neurodevelopmental outcome in preterm infants is associated
with cerebral palsy, visual impairment and mental dysfunction[11].
Smaller
myelin volume, brain parenchymal fraction, lower RK value in cerebellum were
associated with lower neonatal behavioral neurological assessment. DKI and
Synthetic MRI can quantitatively evaluate the brain injury of premature infants
with low-grade IVH. Acknowledgements
The
National Natural Science Foundation of China (grant 81870983). At the same
time,
it
was also funded by Scientific and technological key project of Henan Province (grant No. 212102310742).References
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