Literature DB >> 31832213

Diagnostic accuracy and added value of qualitative radiological review of 1H-magnetic resonance spectroscopy in evaluation of childhood brain tumors.

Karen A Manias1,2, Simrandip K Gill1,2, Lesley MacPherson3, Adam Oates3, Benjamin Pinkey3, Paul Davies1, Niloufar Zarinabad1, Nigel P Davies1,2,4, Ben Babourina-Brooks1, Martin Wilson5, Andrew C Peet1,2.   

Abstract

BACKGROUND: 1H-magnetic resonance spectroscopy (MRS) facilitates noninvasive diagnosis of pediatric brain tumors by providing metabolite profiles. Prospective studies of diagnostic accuracy and comparisons with conventional MRI are lacking. We aimed to evaluate diagnostic accuracy of MRS for childhood brain tumors and determine added clinical value compared with conventional MRI.
METHODS: Children presenting to a tertiary pediatric center with brain lesions from December 2015 through 2017 were included. MRI and single-voxel MRS were acquired on 52 tumors and sequentially interpreted by 3 radiologists, blinded to histopathology. Proportions of correct diagnoses and interrater agreement at each stage were compared. Cases were reviewed to determine added value of qualitative radiological review of MRS through increased certainty of correct diagnosis, reduced number of differentials, or diagnosis following spectroscopist evaluation. Final diagnosis was agreed by the tumor board at study end.
RESULTS: Radiologists' principal MRI diagnosis was correct in 69%, increasing to 77% with MRS. MRI + MRS resulted in significantly more additional correct diagnoses than MRI alone (P = .035). There was a significant increase in interrater agreement when correct with MRS (P = .046). Added value following radiologist interpretation of MRS occurred in 73% of cases, increasing to 83% with additional spectroscopist review. First histopathological diagnosis was available a median of 9.5 days following imaging, with 25% of all patients managed without conclusive histopathology.
CONCLUSIONS: MRS can improve the accuracy of noninvasive diagnosis of pediatric brain tumors and add value in the diagnostic pathway. Incorporation into practice has the potential to facilitate early diagnosis, guide treatment planning, and improve patient care.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Neuro-Oncology and the European Association of Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  1H-magnetic resonance spectroscopy (MRS); MRI; diagnostic accuracy; metabolite profiles; pediatric brain tumors

Year:  2019        PMID: 31832213      PMCID: PMC6899053          DOI: 10.1093/nop/npz010

Source DB:  PubMed          Journal:  Neurooncol Pract        ISSN: 2054-2577


  25 in total

1.  Noninvasive diagnostic assessment of brain tumors using combined in vivo MR imaging and spectroscopy.

Authors:  Damien Galanaud; François Nicoli; Olivier Chinot; Sylviane Confort-Gouny; Dominique Figarella-Branger; Pierre Roche; Stéphane Fuentès; Yann Le Fur; Jean-Philippe Ranjeva; Patrick J Cozzone
Journal:  Magn Reson Med       Date:  2006-06       Impact factor: 4.668

2.  Combined MRI and MRS improves pre-therapeutic diagnoses of pediatric brain tumors over MRI alone.

Authors:  Mark S Shiroishi; Ashok Panigrahy; Kevin R Moore; Marvin D Nelson; Floyd H Gilles; Ignacio Gonzalez-Gomez; Stefan Blüml
Journal:  Neuroradiology       Date:  2015-07-04       Impact factor: 2.804

3.  Prediction of posterior fossa tumor type in children by means of magnetic resonance image properties, spectroscopy, and neural networks.

Authors:  J E Arle; C Morriss; Z J Wang; R A Zimmerman; P G Phillips; L N Sutton
Journal:  J Neurosurg       Date:  1997-05       Impact factor: 5.115

4.  Identification and characterisation of childhood cerebellar tumours by in vivo proton MRS.

Authors:  N P Davies; M Wilson; L M Harris; K Natarajan; S Lateef; L Macpherson; S Sgouros; R G Grundy; T N Arvanitis; A C Peet
Journal:  NMR Biomed       Date:  2008-10       Impact factor: 4.044

5.  Quantitative short echo time 1H-MR spectroscopy of untreated pediatric brain tumors: preoperative diagnosis and characterization.

Authors:  A Panigrahy; M D Krieger; I Gonzalez-Gomez; X Liu; J G McComb; J L Finlay; M D Nelson; F H Gilles; S Blüml
Journal:  AJNR Am J Neuroradiol       Date:  2006-03       Impact factor: 3.825

6.  Non-invasive detection of glycine as a biomarker of malignancy in childhood brain tumours using in-vivo 1H MRS at 1.5 tesla confirmed by ex-vivo high-resolution magic-angle spinning NMR.

Authors:  N P Davies; M Wilson; K Natarajan; Y Sun; L MacPherson; M-A Brundler; T N Arvanitis; R G Grundy; A C Peet
Journal:  NMR Biomed       Date:  2010-01       Impact factor: 4.044

7.  Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy.

Authors:  M C Preul; Z Caramanos; D L Collins; J G Villemure; R Leblanc; A Olivier; R Pokrupa; D L Arnold
Journal:  Nat Med       Date:  1996-03       Impact factor: 53.440

Review 8.  The 2007 WHO classification of tumours of the central nervous system.

Authors:  David N Louis; Hiroko Ohgaki; Otmar D Wiestler; Webster K Cavenee; Peter C Burger; Anne Jouvet; Bernd W Scheithauer; Paul Kleihues
Journal:  Acta Neuropathol       Date:  2007-07-06       Impact factor: 17.088

9.  Evaluation of the added value of 1H-magnetic resonance spectroscopy for the diagnosis of pediatric brain lesions in clinical practice.

Authors:  Karen Manias; Simrandip K Gill; Niloufar Zarinabad; Paul Davies; Martin English; Daniel Ford; Lesley MacPherson; Ina Nicklaus-Wollenteit; Adam Oates; Guirish Solanki; Jenny Adamski; Martin Wilson; Andrew C Peet
Journal:  Neurooncol Pract       Date:  2017-05-13

10.  (1)H magnetic resonance spectroscopy in the diagnosis of paediatric low grade brain tumours.

Authors:  E Orphanidou-Vlachou; D Auer; M A Brundler; N P Davies; T Jaspan; L MacPherson; K Natarajan; Y Sun; T N Arvanitis; R G Grundy; A C Peet
Journal:  Eur J Radiol       Date:  2013-03-13       Impact factor: 3.528

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  3 in total

Review 1.  European Society for Paediatric Oncology (SIOPE) MRI guidelines for imaging patients with central nervous system tumours.

Authors:  Shivaram Avula; Andrew Peet; Giovanni Morana; Paul Morgan; Monika Warmuth-Metz; Tim Jaspan
Journal:  Childs Nerv Syst       Date:  2021-05-10       Impact factor: 1.475

2.  Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.

Authors:  H Zhou; R Hu; O Tang; C Hu; L Tang; K Chang; Q Shen; J Wu; B Zou; B Xiao; J Boxerman; W Chen; R Y Huang; L Yang; H X Bai; C Zhu
Journal:  AJNR Am J Neuroradiol       Date:  2020-07       Impact factor: 3.825

3.  Differentiation of paediatric posterior fossa tumours by the multiregional and multiparametric MRI radiomics approach: a study on the selection of optimal multiple sequences and multiregions.

Authors:  Jie Dong; Suxiao Li; Lei Li; Shengxiang Liang; Bin Zhang; Yun Meng; Xiaofang Zhang; Yong Zhang; Shujun Zhao
Journal:  Br J Radiol       Date:  2021-11-19       Impact factor: 3.039

  3 in total

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