Poster No:
1028
Submission Type:
Abstract Submission
Authors:
Su-Zhen Dong1
Institutions:
1Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, Shanghai
First Author:
Su-Zhen Dong
Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai
Introduction:
At present, there is a lack of research on the brain development and injury in fetuses with non-cyanotic CHD, including aortic arch abnormalities. Vascular ring is a rare non-cyanotic congenital vascular anomaly that occur in 0.02% to 0.1% of the population[5]. These anomalies are divided into two categories: complete vascular ring (CVR) and incomplete vascular ring. CVR include right aortic arch (RAA) with aberrant left subclavian artery (ALSA) and double aortic arch (DAA), left aortic arch with aberrant right subclavian artery (ARSA), and RAA with mirror-image branching and retroesophageal left ductus arteriosus (RLDA); CVR can encircle the trachea and may cause compression of the trachea or esophagus[6]. Most infants with CVR show symptoms such as feeding difficulties or airway obstruction within their first year. Some complex cyanotic CHD may result in impaired fetal brain development. Although research on the impact of CVR on fetal brain development is currently lacking, it suggests that CVR may lead to changes in brain development trajectories, potentially due to hemodynamic alterations, the effectiveness of compensatory mechanisms, and regional brain susceptibility.
In this study, we aim to investigate the changes in the volume of intracranial structures in fetuses with CVR by 3-dimensional (3-D) volumetric MRI compared to normal controls during the second and third stages of pregnancy.
Methods:
Fetuses diagnosed with CVR (n = 70) on prenatal echo and/or cardiac MR and confirmed by postnatal imaging, and control subjects were included in the study (n = 75). We used an automated segmentation pipeline to quantify global and regional brain volumes in vivo including total intracranial cavity volume (ICV), regional brain including cortical gray matter(cGM), white matter (WM), deep gray matter(dGM), cerebellum (CBM), brainstem (BM), ventricular volume (VV), and extra-cerebrospinal fluid (eCSF). One way-analysis of variance was used to test for differences in brain volumes between three groups, after accounting for sex and gestational age.
Results:
All fetal CVR cases in this study included right aortic arch with aberrant left subclavian artery, double aortic arch, left aortic arch with an aberrant right subclavian artery, RAA with mirror-image branching and retroesophageal left ductus arteriosus. Compared to the control group, fetuses with CVR showed significantly reduced volumes in WM (P <.001), cGM(P =.004), dGM(P <.001), and CBM(P <.001), along with a significant increase in eCSF (P =.002). However, the ICV in CVR fetuses did not differ significantly from that of control fetuses (P=0.10).
Conclusions:
We observed that the extent of fetal brain development impairment differs between fetuses with CVR and those with control fetuses.
Lifespan Development:
Normal Brain Development: Fetus to Adolescence 1
Novel Imaging Acquisition Methods:
Anatomical MRI 2
Keywords:
MRI
STRUCTURAL MRI
1|2Indicates the priority used for review
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Please indicate below if your study was a "resting state" or "task-activation” study.
Other
Healthy subjects only or patients (note that patient studies may also involve healthy subjects):
Patients
Was this research conducted in the United States?
No
Were any human subjects research approved by the relevant Institutional Review Board or ethics panel?
NOTE: Any human subjects studies without IRB approval will be automatically rejected.
Yes
Were any animal research approved by the relevant IACUC or other animal research panel?
NOTE: Any animal studies without IACUC approval will be automatically rejected.
Not applicable
Please indicate which methods were used in your research:
Structural MRI
For human MRI, what field strength scanner do you use?
1.5T
Which processing packages did you use for your study?
Other, Please list
-
https://github.com/ LucasFidon/ trustworthy-ai-fetal-brain-segmentation
Provide references using APA citation style.
1. Ebner M, Wang G, Li W, et al （2020）. An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. Neuroimage, 206:116324
2. Fidon L, Aertsen M, Kofler F, et al (2024). A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. IEEE Trans Pattern Anal Mach Intell, 46:3784-3795
3. Gholipour A, Rollins CK, Velasco-Annis C, et al (2017). A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth. Sci Rep, 7:476
No