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Neuro-Oncology Practice
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April 26, 2018
Evaluation of the added value of <sup>1</sup>H-magnetic resonance spectroscopy for the diagnosis of pediatric brain lesions in clinical practice
Karen Manias, Simrandip K Gill, Niloufar Zarinabad, et al.
European Journal of Cancer (Oxford, England : 1990)
|
October 7, 2008
Magnetic resonance spectroscopy in the assessment of pilocytic astrocytomas
Lisa M Harris, Nigel P Davies, Lesley Macpherson, et al.
NMR in Biomedicine
|
May 17, 2007
1H MRS identifies specific metabolite profiles associated with MYCN-amplified and non-amplified tumour subtypes of neuroblastoma cell lines
Andrew C Peet, Carmel McConville, Martin Wilson, et al.
European Journal of Cancer (Oxford, England : 1990)
|
October 6, 2012
Accurate classification of childhood brain tumours by in vivo ¹H MRS - a multi-centre study
Javier Vicente, Elies Fuster-Garcia, Salvador Tortajada, et al.
The Journal of Clinical Endocrinology and Metabolism
|
November 23, 2017
Quantitative Brain MRI in Congenital Adrenal Hyperplasia: In Vivo Assessment of the Cognitive and Structural Impact of Steroid Hormones
Emma A Webb, Lucy Elliott, Dominic Carlin, et al.
Neuroimage. Clinical
|
February 8, 2020
Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: A multi-site study
James T Grist, Stephanie Withey, Lesley MacPherson, et al.
Journal of Medical Genetics
|
September 14, 2012
Recessive germline SDHA and SDHB mutations causing leukodystrophy and isolated mitochondrial complex II deficiency
Charlotte L Alston, James E Davison, Francesca Meloni, et al.
Pediatric Radiology
|
March 15, 2022
Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study
Stephanie B Withey, Lesley MacPherson, Adam Oates, et al.
Scientific Reports
|
August 12, 2018
Tissue metabolite profiles for the characterisation of paediatric cerebellar tumours
Christopher D Bennett, Sarah E Kohe, Simrandip K Gill, et al.
Scientific Reports
|
September 24, 2021
Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors
James T Grist, Stephanie Withey, Christopher Bennett, et al.
Page
of 9
Search research articles
Search
Showing results (61-70 of 84) with videos related to
Sort By:
Page
of 9
Neuro-Oncology Practice
|
April 26, 2018
Evaluation of the added value of <sup>1</sup>H-magnetic resonance spectroscopy for the diagnosis of pediatric brain lesions in clinical practice
Karen Manias, Simrandip K Gill, Niloufar Zarinabad, et al.
European Journal of Cancer (Oxford, England : 1990)
|
October 7, 2008
Magnetic resonance spectroscopy in the assessment of pilocytic astrocytomas
Lisa M Harris, Nigel P Davies, Lesley Macpherson, et al.
NMR in Biomedicine
|
May 17, 2007
1H MRS identifies specific metabolite profiles associated with MYCN-amplified and non-amplified tumour subtypes of neuroblastoma cell lines
Andrew C Peet, Carmel McConville, Martin Wilson, et al.
European Journal of Cancer (Oxford, England : 1990)
|
October 6, 2012
Accurate classification of childhood brain tumours by in vivo ¹H MRS - a multi-centre study
Javier Vicente, Elies Fuster-Garcia, Salvador Tortajada, et al.
The Journal of Clinical Endocrinology and Metabolism
|
November 23, 2017
Quantitative Brain MRI in Congenital Adrenal Hyperplasia: In Vivo Assessment of the Cognitive and Structural Impact of Steroid Hormones
Emma A Webb, Lucy Elliott, Dominic Carlin, et al.
Neuroimage. Clinical
|
February 8, 2020
Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: A multi-site study
James T Grist, Stephanie Withey, Lesley MacPherson, et al.
Journal of Medical Genetics
|
September 14, 2012
Recessive germline SDHA and SDHB mutations causing leukodystrophy and isolated mitochondrial complex II deficiency
Charlotte L Alston, James E Davison, Francesca Meloni, et al.
Pediatric Radiology
|
March 15, 2022
Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study
Stephanie B Withey, Lesley MacPherson, Adam Oates, et al.
Scientific Reports
|
August 12, 2018
Tissue metabolite profiles for the characterisation of paediatric cerebellar tumours
Christopher D Bennett, Sarah E Kohe, Simrandip K Gill, et al.
Scientific Reports
|
September 24, 2021
Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors
James T Grist, Stephanie Withey, Christopher Bennett, et al.
Page
of 9