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http://dx.doi.org/10.1515/jpem.2011.085 | DOI Listing |
Dev Med Child Neurol
January 2025
Department of Paediatric Infectious Diseases, Imperial College Healthcare NHS Trust, London, UK.
Aim: To identify neonatal magnetic resonance imaging (MRI) features that predict the likelihood of children with congenital cytomegalovirus (cCMV) developing epilepsy, together with clinical features and a validated MRI scoring system.
Method: This was a retrospective descriptive cohort study of infants with cCMV referred to a paediatric infectious disease centre between April 2012 and March 2022, and followed up for at least 2 years. MRI was performed before 4 months of age and assessed by two paediatric neuroradiologists.
Acta Bioeng Biomech
September 2024
Laboratory of Physiotherapy and Physioprevention, Institute of Physiotherapy and Health Sciences, Academy of Physical Education, Katowice, Poland.
: The main aim of this paper was to perform the morphological assessment of children's mandibles of different etiology of dys-functions within the temporomandibular joint, from isolated idiopathic ankylosis to craniofacial malformations co-existing with genetic disorders. : The investigations encompassed seven patients at the age of 0-3. Measurements were conducted on the basis of data obtained from computed tomography.
View Article and Find Full Text PDFQ J Nucl Med Mol Imaging
January 2025
Section of Nuclear Medicine and Diagnostic Imaging, International Atomic Energy Agency, Vienna, Austria.
Background: One can assess cortical defects on the early images of [99mTc]Tc-MAG3 renography. We aimed to assess interobserver and intraobserver reproducibility for detecting renal cortical defects using [99mTc]Tc-MAG3 for adults and children; identify causes for poor inter- and intraobserver reproducibility and to assess the effect of the kidney to background ratio (KTBR) on reproducibility.
Methods: One hundred adult and 200 pediatric renograms were included.
3D Print Med
January 2025
Department of Pediatric Cardiology, The Heart Institute, University of Colorado, Children's Hospital Colorado, 13123 E 16th Ave B100, 80045, Aurora, CO, USA.
Background: Despite advancements in imaging technologies, including CT scans and MRI, these modalities may still fail to capture intricate details of congenital heart defects accurately. Virtual 3D models have revolutionized the field of pediatric interventional cardiology by providing clinicians with tangible representations of complex anatomical structures. We examined the feasibility and accuracy of utilizing an automated, Artificial Intelligence (AI) driven, cloud-based platform for virtual 3D visualization of complex congenital heart disease obtained from 3D rotational angiography DICOM images.
View Article and Find Full Text PDFActa Neurochir (Wien)
January 2025
Division of Pediatric Neurosurgery, Department of Neurosurgery, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Up to 40% of intracranial aneurysms arise from the anterior cerebral artery and anterior communicating artery (ACA-ACoA) complex. The vast variability of vessel anomalies and the surrounding critical structures correlate with severe morbidity and mortality rates in case of rupture. In the era of cutting-edge advantages of endovascular procedures, surgical expertise is reducing.
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