Objectives: The purpose of this study was to establish reference charts for fetal corpus callosum length in a convenience sample.
Methods: A prospective cross-sectional study was conducted at the Artemisia Fetal-Maternal Medical Center between December 2008 and January 2012. Among 16,975 fetal biometric measurements between 19 weeks and 37 weeks 6 days' gestation, 3438 measurements of the corpus callosum (20.3%) were available. After excluding 488 measurements (14.2%), a total of 2950 fetuses (85.8%) were considered and analyzed only once. Parametric and nonparametric quantile regression models were used for the statistical analysis. To evaluate the robustness of the proposed reference charts with respect to various distributional assumptions on the sonographic measurements at hand, we compared the gestational age (GA)-specific reference curves produced by the statistical methods used.
Results: The mean corpus callosum length was 26.18 mm (SD, 4.5 mm; 95% confidence interval, 26.01-26.34 mm). The linear regression equation expressing the length of the corpus callosum as a function of GA was length (mm) = -11.17 + 1.62 × GA. The correlation between the dimension and gestation was expressed by the coefficient r = 0.83. Normal mean lengths according the parametric and nonparametric methods were defined for each week of gestation.
Conclusions: This work provides new quantile-based reference charts for corpus callosum length measurements that may be useful for diagnosis of congenital corpus callosum anomalies in fetal life.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.7863/ultra.33.6.1065 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Thick and Short Fetal Corpus Callosum on Ultrasound: Added Value of Fetal Magnetic Resonance Diffusion Tensor Imaging With Tractography.
Pediatr Neurol
December 2024
Department of Radiology, Infocus Diagnostics, Ahmedabad, Gujarat, India.
Background: Thick fetal corpus callosum (CC) is a rare finding and its significance in isolation is not clear. In this retrospective study, we aim to gain insight into the microarchitecture of CC in a cohort of fetuses with thick and short CC (isolated or associated with mild extra-/intracranial abnormalities) as seen on ultrasound (US), by using prenatal magnetic resonance (MR) diffusion tensor imaging (DTI) with fiber tractography, thereby allowing better characterization for postnatal prognosis.
Methods: Twelve fetuses met the inclusion criteria on US.
Neonatal inflammation and near-term white matter microstructure in infants born very preterm.
Neuroimage Rep
December 2024
Department of Pediatrics, Division of Developmental-Behavioral Pediatrics, Stanford University, Stanford, CA, USA.
Background: Severe neonatal inflammatory conditions in very preterm infants (VPT: <32 weeks gestational age, GA) are linked to adverse neurodevelopmental outcomes. Differences in white matter (WM) microstructure of the corpus callosum (CC) have been observed at age 6 in VPT children with a history of severe neonatal inflammation. The goal of this study was to determine whether these CC differences can be detected at term-equivalent age using diffusion MRI (dMRI), and whether neonatal inflammation is associated with altered WM in additional tracts implicated in the encephalopathy of prematurity.
View Article and Find Full Text PDFSleep profile in patients with septo-optic-pituitary dysplasia: protocol for a prospective cohort study.
BMJ Open
January 2025
IRCCS Mondino Foundation, Pavia, Italy
Introduction: Children with septo-optic-pituitary dysplasia (SOD) may experience a range of visual impairments and hormonal dysfunctions beyond developmental delay/intellectual disability. The literature describes sleep fragmentation, circadian rhythm disruptions and reduced sleep efficiency. These manifestations are believed to be closely linked to both structural and functional abnormalities associated with SOD, potentially disrupting the natural circadian rhythm.
View Article and Find Full Text PDFDaily executive functioning in adults with pediatric hemispherectomy.
Epilepsy Res
January 2025
Fuller Graduate School of Psychology, Travis Research Institute, Pasadena, CA 91101, United States; International Research Consortium for the Corpus Callosum and Cerebral Connectivity (IRC5), Pasadena, CA 91106, United States; California Institute of Technology, Division of Humanities and Social Sciences, Pasadena, CA 91125, United States. Electronic address:
Background And Aims: For young children with intractable epilepsy caused by congenital abnormalities or acquired cortical lesions, pediatric hemispherectomy surgery (pHS) may offer the only path to seizure remediation. Although some sensory and motor outcomes of pHS are highly predictable, the long-term cognitive and functional sequelae of pHS are far more variable. With the aim of identifying potential post-pHS intervention targets, the current study examined daily executive functioning and self-awareness in adults with pHS and broadly intact cognitive outcomes (indicated by average or above performance on intelligence tests).
View Article and Find Full Text PDFImproved deep canonical correlation fusion approach for detection of early mild cognitive impairment.
Med Biol Eng Comput
January 2025
Non-Invasive Imaging and Diagnostic Laboratory, Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, India.
Detection of early mild cognitive impairment (EMCI) is clinically challenging as it involves subtle alterations in multiple brain sub-anatomic regions. Among different brain regions, the corpus callosum and lateral ventricles are primarily affected due to EMCI. In this study, an improved deep canonical correlation analysis (CCA) based framework is proposed to fuse magnetic resonance (MR) image features from lateral ventricular and corpus callosal structures for the detection of EMCI condition.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!