Jing Deng1, Aining Zhang1, Meng Zhao1, Xihu Mu1, Xin Zhou2, Feifei Qu3, Jiacheng Song1, and Ting Chen1
1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Department of Obstetrics & Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 3Department of Radiology, Siemens Healthineers Ltd, Shanghai, China
Synopsis
Keywords: Placenta, Perfusion
Very low birth
weight infants (VLBWI) are an adverse pregnancy outcome in small for
gestational age infants (SGA). We explored the value of intravoxel incoherent
motion (IVIM) histogram parameters and Doppler parameters in
predicting VLBWI from SGA. Compared with the SGA group, true diffusion
coefficients (Dmean, D50th, D75th, D90th)
and perfusion fraction (fmax) were significantly lower, and
umbilical artery pulsatility index, resistance index (RI), and peak systolic
velocity/end-diastolic velocity were significantly higher in the VLBWI group. A
combined predictive model (D90th and RI)
improved diagnostic performance and demonstrated
the potential of IVIM histogram analysis for clinical diagnosis of VLBWI.Introduction
Very low birth
weight infants (VLBWI) are those who weigh less than 1,500g within 1h of birth,
and small for gestation age (SGA) is the severe perinatal pregnancy outcome
with significant neonatal morbidity, death, and stillbirth rate1,2.
Inadequate placental perfusion is the main etiology of VLBWI3.
Doppler is the primary imaging method to identify abnormal placenta
vascularity. However, due to its subjective nature and inability to detect microcirculation
perfusion, Intravoxel Incoherent Motion (IVIM) is recommended as a
complementary diagnostic modality to improve diagnostic accuracy4,5.
Therefore, our study aimed to unveil the placental IVIM histogram analysis
combined with Doppler for discriminating VLBWI from SGA.Materials and Methods
The institutional
review board approved the retrospective research and waived the requirement for
informed consent. Thirty-three pregnant women were recruited for the study. All
MRI examinations were performed using a 1.5T system (MAGNETOM
Aera, Siemens Healthcare; Erlangen, Germany)
with a combination of a twelve-channel surface body coil and two embedded spine
coils. T2-weighted HASTE sequence was as follows: TR/TE 1300ms/167ms; slice
thickness 4.0mm; FOV 380mm×309mm. IVIM
images were collected with a spectrum of different b-values of 0, 50, 100, 150,
200, 500, and 800 s/mm2. The scanning parameters were acquired using
TR/TE 6400ms/65ms, slice thickness 5.5mm, FOV 320mm×320mm. All IVIM data were
processed with FireVoxel software (CAI2R; New York University, NY, USA). The
volume of interest (VOI) was drawn with appropriate size on all continuous
slices by two radiologists in fetal MRI (5- and 7-years’ experience,
respectively) who were blinded to patients' information. After VOI
determination, histograms of IVIM parameters were derived, which were used to
automatically generate the following parameters: true diffusion coefficient
(D), pseudo-diffusion coefficient (D*), perfusion fraction (f), and the mean, skewness,
kurtosis, maximum, minimum, 10th, 25th, 50th, 75th, and 90th
percentiles of their values (Figure1). Umbilical arterial (UA) flow velocities
were measured using a pulse-wave Doppler including the following parameters,
umbilical artery pulsatility index (PI), resistance index (RI), and peak
systolic velocity/end-diastolic velocity (S/D).Results
Thirty-three pregnant
women were divided into two groups---11 with VLBWI and 22 with SGA. Demographic
and clinical characteristics are described in Table1. No significant
difference was found between the gestational period of the two groups
at the MRI scan (p > 0.05). As exhibited in Figure2, the Dmean, D50th,
D75th, D90th, and fmax for VLBWI were
significantly lower than that for SGA (p<0.05).
The PI, RI, and S/D of UA were statistically higher in the VLBWI group than in
the SGA group (p<0.05) (Figure2).
The other parameters did not show a significant difference between the two
groups (p>0.05). The area
under the ROC curve (AUC) of the D90th and UA RI was higher than
other parameters in distinguishing VLBWI from SGA (AUC 0.847 and 0.762,
respectively) (Figure3 and Table2). The combination of D90th and UA RI further
improved the AUC to 0.950, which was significantly higher than single
parameters in differentiating VLBWI from SGA.Discussion
In this study, we
found that IVIM histogram parameters (Dmean, D50th, D75th, D90th, and fmax) were significantly lower in the VLBWI
group. We speculated that the lower D and f, the more placental interstitial
infarction, fibrosis, calcification, and restricted microcirculation in VLBWI6,7.
This is consistent with other studies in that D and f had significant
associations with low birth weight8.
Additionally, the end-diastolic peak blood flow velocity slows down in pregnant
women due to increased downstream resistance, which results in increased PI,
RI, and S/D, which is in accordance with our findings of fetal umbilical artery
in the VLBWI1.
Moreover, via ROC analysis, we found that D90th and UA RI were the
best parameters with the highest AUC to predict VLBWI. The area with the
highest placental perfusion is represented by the value at the 90th percentile,
which was still lower in the VLBWI group than in the SGA group, further
illustrating the poor placental perfusion in VLBWI. RI is the blood flow
resistance index of the placenta umbilical artery, indicating that pregnant
women with VLBWI were affected by pathological factors, placental blood vessels
increased slowly, villous vessels had fewer branches, blood volume decreased,
and blood flow showed the phenomenon of low flow and high resistance9.
The combined AUC of D90th and RI showed significantly higher AUC
than that any single parameter. D90th and RI are both crucial
parameters to consider when assessing placental perfusion insufficiency in
VLBWI. Conclusion
Histogram analysis of IVIM parameters combined with Doppler parameters may serve as sensitive indicators for predicting VLBWI from SGA.Acknowledgements
This study was
supported by grants from the Maternal and Child Health research project of
Jiangsu province, China [grant number No. F201845].References
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