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Subthalamic nucleus involvement in children: a neuroimaging pattern-recognition approach.

Thangamadhan Bosemani1, Cristina Anghelescu2, Eugen Boltshauser3

  • 1Section of Pediatric Neuroradiology, Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

European Journal of Paediatric Neurology : EJPN : Official Journal of the European Paediatric Neurology Society
|October 24, 2013
PubMed
Summary

Neuroimaging pattern recognition aids pediatric central nervous system disease diagnosis. Specific disorders affecting the subthalamic nucleus require integrated clinical and imaging data for accurate diagnosis in children.

Keywords:
ChildrenMagnetic resonance imagingPattern-recognition approachSubthalamic nucleus

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Area of Science:

  • Pediatric Neurology
  • Neuroimaging
  • Diagnostic Medicine

Background:

  • Neuroimaging pattern recognition is valuable for diagnosing pediatric central nervous system (CNS) diseases.
  • The subthalamic nucleus can be selectively affected in specific pediatric conditions.
  • Conditions include Leigh syndrome, succinic semialdehyde dehydrogenase deficiency, kernicterus, chronic end-stage liver failure, and hypoxic-ischemic injury in neonates.

Purpose of the Study:

  • To highlight the utility of neuroimaging in diagnosing pediatric CNS disorders.
  • To identify key conditions that selectively impact the subthalamic nucleus in children.
  • To emphasize the importance of integrating clinical and imaging data for diagnosis.

Main Methods:

  • Utilized a neuroimaging-based pattern-recognition approach.
  • Reviewed clinical history and findings associated with subthalamic nucleus involvement.
  • Analyzed additional neuroimaging findings in affected pediatric patients.

Main Results:

  • Pattern recognition in neuroimaging effectively aids in diagnosing diverse pediatric CNS diseases.
  • Specific disorders selectively targeting the subthalamic nucleus were identified.
  • The combined assessment of clinical and imaging data is crucial for diagnosis.

Conclusions:

  • Neuroimaging pattern recognition is a powerful tool for pediatric CNS disease diagnosis.
  • Accurate diagnosis of subthalamic nucleus disorders in children necessitates a comprehensive approach.
  • Integrating clinical presentation with detailed neuroimaging is essential for appropriate diagnostic planning.