Literature DB >> 18952579

Imaging of central nervous system tumors in children: advances and limitations.

Louis-Gilbert Vézina1.   

Abstract

Magnetic resonance technology is continually improving. Functional imaging techniques such as magnetic resonance spectroscopy, perfusion imaging, diffusion imaging, and diffusion tensor imaging are increasingly used in the diagnosis and treatment of brain tumors in children. However, estimate of tumor size remains the primary imaging endpoint in the evaluation of response to treatment, and validation across institutions and vendor platforms of magnetic resonance imaging functional parameters is necessary given the relatively uncommon occurrence of brain tumors in children. Pediatric neuroimaging can be challenging, and the optimal way to image children with tumors of the central nervous system is not uniformly applied across all centers. Application of proper scanning techniques and validation of functional imaging techniques should lead to improved care of children with central nervous system tumors.

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Year:  2008        PMID: 18952579      PMCID: PMC2841016          DOI: 10.1177/0883073808320753

Source DB:  PubMed          Journal:  J Child Neurol        ISSN: 0883-0738            Impact factor:   1.987


  30 in total

Review 1.  Intracranial mass lesions: dynamic contrast-enhanced susceptibility-weighted echo-planar perfusion MR imaging.

Authors:  Soonmee Cha; Edmond A Knopp; Glyn Johnson; Stephan G Wetzel; Andrew W Litt; David Zagzag
Journal:  Radiology       Date:  2002-04       Impact factor: 11.105

2.  Diffusion-tensor MR imaging of normal brain maturation: a guide to structural development and myelination.

Authors:  Jeffrey H Miller; Robert C McKinstry; Joseph V Philip; Pratik Mukherjee; Jeffrey J Neil
Journal:  AJR Am J Roentgenol       Date:  2003-03       Impact factor: 3.959

3.  Use of MR spectroscopy and functional imaging in the treatment planning of gliomas.

Authors:  A Narayana; J Chang; S Thakur; W Huang; S Karimi; B Hou; A Kowalski; G Perera; A Holodny; P H Gutin
Journal:  Br J Radiol       Date:  2006-10-26       Impact factor: 3.039

4.  Preoperative grading of gliomas by using metabolite quantification with high-spatial-resolution proton MR spectroscopic imaging.

Authors:  Andreas Stadlbauer; Stephan Gruber; Christopher Nimsky; Rudolf Fahlbusch; Thilo Hammen; Rolf Buslei; Bernd Tomandl; Ewald Moser; Oliver Ganslandt
Journal:  Radiology       Date:  2006-01-19       Impact factor: 11.105

5.  Correlation of magnetic resonance spectroscopic and growth characteristics within Grades II and III gliomas.

Authors:  Tracy R McKnight; Kathleen R Lamborn; Tonya D Love; Mitchel S Berger; Susan Chang; William P Dillon; Andrew Bollen; Sarah J Nelson
Journal:  J Neurosurg       Date:  2007-04       Impact factor: 5.115

6.  Comparison of cerebral blood volume maps generated from T2* and T1 weighted MRI data in intra-axial cerebral tumours.

Authors:  H A Haroon; T F Patankar; X P Zhu; K L Li; N A Thacker; M J Scott; A Jackson
Journal:  Br J Radiol       Date:  2007-02-15       Impact factor: 3.039

Review 7.  Functional MRI in the brain tumor patient.

Authors:  Dmitry L Bogomolny; Nicole M Petrovich; Bob L Hou; Kyung K Peck; Michael J J Kim; Andrei I Holodny
Journal:  Top Magn Reson Imaging       Date:  2004-10

8.  Diffusion tensor imaging of tract involvement in children with pontine tumors.

Authors:  K J Helton; N S Phillips; R B Khan; F A Boop; R A Sanford; P Zou; C S Li; J W Langston; R J Ogg
Journal:  AJNR Am J Neuroradiol       Date:  2006-04       Impact factor: 3.825

9.  Spectroscopic and perfusion magnetic resonance imaging predictors of progression in pediatric brain tumors.

Authors:  A Aria Tzika; Loukas G Astrakas; Maria K Zarifi; David Zurakowski; Tina Young Poussaint; Liliana Goumnerova; Nancy J Tarbell; Peter McL Black
Journal:  Cancer       Date:  2004-03-15       Impact factor: 6.860

10.  Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade.

Authors:  H C Roberts; T P Roberts; R C Brasch; W P Dillon
Journal:  AJNR Am J Neuroradiol       Date:  2000-05       Impact factor: 4.966

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  5 in total

1.  Predicting outcome of children with diffuse intrinsic pontine gliomas using multiparametric imaging.

Authors:  Sean J Hipp; Emilie Steffen-Smith; Dima Hammoud; Joanna H Shih; Robyn Bent; Katherine E Warren
Journal:  Neuro Oncol       Date:  2011-07-13       Impact factor: 12.300

2.  Neuroimaging and neuropsychological follow-up study in a pediatric brain tumor patient treated with surgery and radiation.

Authors:  Adam T Schmidt; Rebecca B Martin; Arzu Ozturk; Wendy R Kates; Moody D Wharam; E Mark Mahone; Alena Horska
Journal:  Neurocase       Date:  2010-02       Impact factor: 0.881

Review 3.  Contrast-enhanced magnetic resonance imaging in pediatric patients: review and recommendations for current practice.

Authors:  Ravi Bhargava; Gabriele Hahn; Wolfgang Hirsch; Myung-Joon Kim; Hans-Joachim Mentzel; Oystein E Olsen; Eira Stokland; Fabio Triulzi; Elida Vazquez
Journal:  Magn Reson Insights       Date:  2013-10-20

Review 4.  The Role of PET in Supratentorial and Infratentorial Pediatric Brain Tumors.

Authors:  Angelina Cistaro; Domenico Albano; Pierpaolo Alongi; Riccardo Laudicella; Daniele Antonio Pizzuto; Giuseppe Formica; Cinzia Romagnolo; Federica Stracuzzi; Viviana Frantellizzi; Arnoldo Piccardo; Natale Quartuccio
Journal:  Curr Oncol       Date:  2021-07-05       Impact factor: 3.677

5.  Triad of torticollis, photophobia and epiphora in a child with a posterior fossa tumor.

Authors:  Michiel Buijsrogge; Caroline Dauwe; Patricia Delbeke
Journal:  GMS Ophthalmol Cases       Date:  2014-11-25
  5 in total

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