Background: Medical-imaging-based three-dimensional (3D) printed models enable improvement in skills training, surgical planning, and decision-making. This pilot study aimed to use multimodality imaging and to add and compare 3D ultrasound as a future standard to develop realistic neonatal brain models including the ventricular system.
Methods: Retrospective computed tomography (CT), magnetic resonance imaging (MRI), and 3D ultrasound-based brain imaging protocols of five neonatal patients were analyzed and subsequently segmented with the aim of developing a multimodality imaging-based 3D printed model. The ventricular anatomy was analyzed to compare the MRI and 3D ultrasound modalities.
Results: A realistic anatomical model of the neonatal brain, including the ventricular system, was created using MRI and 3D ultrasound data from one patient. T2-weighted isovoxel 3D MRI sequences were found to have better resolution and accuracy than 2D sequences. The surface area, anatomy, and volume of the lateral ventricles derived from both MRI and 3D ultrasound were comparable.
Conclusions: We created an ultrasound- and MRI-based 3D printed patient-specific neonatal brain simulation model that can be used for perioperative management. To introduce 3D ultrasound as a standard for 3D models, additional dimensional correlations between MRI and ultrasound need to be examined.
Impact: We studied the feasibility of implementing 3D ultrasound as a standard for 3D printed models of the neonatal brain. Different imaging modalities were compared and both 3D isotropic MRI and 3D ultrasound imaging are feasible for printing neonatal brain models with good dimensional accuracy and anatomical replication. Further dimensional correlations need to be defined to implement it as a standard to produce 3D printed models.
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http://dx.doi.org/10.1038/s41390-021-01421-w | DOI Listing |
Hum Brain Mapp
January 2025
Center for MR Research, University Children's Hospital Zurich, Zurich, Switzerland.
The human brain connectome is characterized by the duality of highly modular structure and efficient integration, supporting information processing. Newborns with congenital heart disease (CHD), prematurity, or spina bifida aperta (SBA) constitute a population at risk for altered brain development and developmental delay (DD). We hypothesize that, independent of etiology, alterations of connectomic organization reflect neural circuitry impairments in cognitive DD.
View Article and Find Full Text PDFCrit Care
January 2025
Department of Pediatric, West China Second University Hospital, Sichuan University, Chengdu, China.
Background: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury in pediatric patients ECMO and identify key variables for future research.
Methods: Data from pediatric patients undergoing ECMO were collected from the Chinese Society of Extracorporeal Life Support (CSECLS) registry database and local hospitals.
Neurochem Res
January 2025
Departments of Pediatrics and Systems Pharmacology & Translational Therapeutics, The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, 19104-4318, USA.
In mice engineered to express enhanced green fluorescent protein (eGFP) under the control of the entire glutamate transporter 1 (GLT1) gene, eGFP is found in all 'adult' cortical astrocytes. However, when 8.3 kilobases of the human GLT1/EAAT2 promoter is used to control expression of tdTomato (tdT), tdT is only found in a subpopulation of these eGFP-expressing astrocytes.
View Article and Find Full Text PDFBMJ Open
January 2025
Centre for Primary Care and Public Health, Queen Mary University of London Wolfson Institute of Preventive Medicine, London, UK.
Objective: In the UK and worldwide, there are substantial ethnic inequalities in maternal and perinatal care and outcomes. We aim to assess the impact of the unprecedented change in care provision during the COVID-19 pandemic on inequalities in adverse maternity outcomes.
Design: Retrospective cohort study using structured electronic health record data.
Early Hum Dev
January 2025
Department of Pediatrics, Division of Neonatology, The Hospital for Sick Children and the University of Toronto, Ontario, Canada. Electronic address:
Objectives: To build an early, prognostic model for adverse outcome in infants with hypoxic ischemic encephalopathy (HIE) receiving therapeutic hypothermia (TH) based on brain magnetic resonance images (MRI), electrophysiological tests and clinical assessments were performed during the first 5 days of life.
Methods: Retrospective study of 182 neonates with HIE and managed with TH. The predominant pattern of HIE brain injury on MRI performed following cooling was scored by neuroradiologists.
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