Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T 1 H‐MR spectroscopy—A multi‐center study-Reference-Cited by-同舟云学术

Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T 1 H‐MR spectroscopy—A multi‐center study

Published:2017-08-08 Issue:4 Volume:79 Page:2359-2366
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med

Author:

Zarinabad Niloufar¹²^ORCID,Abernethy Laurence J.³,Avula Shivaram³,Davies Nigel P.¹²⁴,Rodriguez Gutierrez Daniel⁵⁶,Jaspan Tim⁵⁷,MacPherson Lesley²,Mitra Dipayan⁸,Rose Heather E.L.¹²,Wilson Martin⁹,Morgan Paul S.⁵⁶¹⁰,Bailey Simon¹¹,Pizer Barry¹²,Arvanitis Theodoros N.²¹³,Grundy Richard G.⁵,Auer Dorothee P.⁵⁷¹⁰,Peet Andrew¹²

Affiliation:

1. Institute of Cancer and Genomics SciencesUniversity of BirminghamBirmingham United Kingdom

2. Birmingham Children's HospitalBirmingham United Kingdom

3. Department of RadiologyAlder Hey Children's NHS Foundation TrustLiverpool United Kingdom

4. Department of Imaging and Medical PhysicsUniversity Hospitals Birmingham NHS Foundation TrustBirmingham United Kingdom

5. The Children's Brain Tumour Research CentreUniversity of NottinghamNottingham United Kingdom

6. Medical Physics, Nottingham University Hospital, Queen's Medical CentreNottingham United Kingdom

7. Neuroradiology, Nottingham University Hospital, Queen's Medical CentreNottingham United Kingdom

8. Neuroradiology DepartmentNewcastle upon Tyne HospitalsNewcastle upon Tyne United Kingdom

9. Centre for Human Brain Health, School of Psychology, University of BirminghamBirmingham United Kingdom

10. Radiological Sciences, Department of Clinical NeuroscienceUniversity of NottinghamNottingham United Kingdom

11. Paediatric Oncology DepartmentGreat North Children's HospitalNewcastle upon Tyne United Kingdom

12. Department of Paediatric OncologyAlder Hey Children's NHS Foundation TrustLiverpool United Kingdom

13. Institute of Digital HealthcareWMG, University of WarwickCoventry United Kingdom

Funder

National Institute for Health Research

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.26837

Reference22 articles.

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2. Three-dimensional textural features of conventional MRI improve diagnostic classification of childhood brain tumours

3. Quantitative short echo time 1H‐MR spectroscopy of untreated pediatric brain tumors: preoperative diagnosis and characterization;Panigrahy A;AJNR Am J Neuroradiol,2006

4. Magnetic Resonance Spectroscopy in the Diagnostic Evaluation of Brainstem Lesions in Alexander Disease

5. Magnetic resonance spectroscopy in pediatric neuroradiology: clinical and research applications

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