Cargando…

Magnetic resonance spectroscopy metabolite profiles predict survival in paediatric brain tumours

BACKGROUND: Brain tumours cause the highest mortality and morbidity rate of all childhood tumour groups and new methods are required to improve clinical management. (1)H magnetic resonance spectroscopy (MRS) allows non-invasive concentration measurements of small molecules present in tumour tissue,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wilson, Martin, Cummins, Carole L., MacPherson, Lesley, Sun, Yu, Natarajan, Kal, Grundy, Richard G., Arvanitis, Theodoros N., Kauppinen, Risto A., Peet, Andrew C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier Science Ltd 2013
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560036/ https://www.ncbi.nlm.nih.gov/pubmed/23036848 http://dx.doi.org/10.1016/j.ejca.2012.09.002

Ejemplares similares

Prospective multicentre evaluation and refinement of an analysis tool for magnetic resonance spectroscopy of childhood cerebellar tumours
por: Manias, Karen A., et al.
Publicado: (2018)

Glycine: a non-invasive imaging biomarker to aid magnetic resonance spectroscopy in the prediction of survival in paediatric brain tumours
por: Babourina-Brooks, Ben, et al.
Publicado: (2018)

Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: A multi-site study
por: Grist, James T., et al.
Publicado: (2020)

Classification of paediatric brain tumours by diffusion weighted imaging and machine learning
por: Novak, Jan, et al.
Publicado: (2021)

Short-acquisition-time JPRESS and its application to paediatric brain tumours
por: Carlin, Dominic, et al.
Publicado: (2018)

Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers
por: Bennett, Christopher D., et al.
Publicado: (2019)

Clinical protocols for (31)P MRS of the brain and their use in evaluating optic pathway gliomas in children
por: Novak, Jan, et al.
Publicado: (2014)

Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study
por: Withey, Stephanie B., et al.
Publicado: (2022)

MRS water resonance frequency in childhood brain tumours: a novel potential biomarker of temperature and tumour environment
por: Babourina-Brooks, Ben, et al.
Publicado: (2014)

Tissue metabolite profiles for the characterisation of paediatric cerebellar tumours
por: Bennett, Christopher D., et al.
Publicado: (2018)

Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data
por: Powell, Stephen J., et al.
Publicado: (2023)

Increased unsaturation of lipids in cytoplasmic lipid droplets in DAOY cancer cells in response to cisplatin treatment
por: Pan, Xiaoyan, et al.
Publicado: (2012)

Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T (1)H‐MR spectroscopy—A multi‐center study
por: Zarinabad, Niloufar, et al.
Publicado: (2017)

Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors
por: Grist, James T., et al.
Publicado: (2021)

Evaluation of the added value of (1)H-magnetic resonance spectroscopy for the diagnosis of pediatric brain lesions in clinical practice
por: Manias, Karen, et al.
Publicado: (2018)

Generating prior probabilities for classifiers of brain tumours using belief networks
por: Reynolds, Greg M, et al.
Publicado: (2007)

Texture analysis of T(1)- and T(2)-weighted MR images and use of probabilistic neural network to discriminate posterior fossa tumours in children
por: Orphanidou-Vlachou, Eleni, et al.
Publicado: (2014)

(1)H nuclear magnetic resonance spectroscopy characterisation of metabolic phenotypes in the medulloblastoma of the SMO transgenic mice
por: Hekmatyar, S K, et al.
Publicado: (2010)

IMG-06. PREDICTING SURVIVAL FROM PERFUSION AND DIFFUSION MRI BY MACHINE LEARNING
por: Grist, James T, et al.
Publicado: (2020)

Arterial input function and gray matter cerebral blood volume measurements in children
por: Withey, Stephanie B., et al.
Publicado: (2015)

Magnetic resonance image-based brain tumour segmentation methods: A systematic review
por: Bhalodiya, Jayendra M, et al.
Publicado: (2022)

Understanding and evaluating the effects of implementing an electronic paediatric prescribing system on care provision and hospital work in paediatric hospital ward settings: a qualitatively driven mixed-method study protocol
por: Farre, Albert, et al.
Publicado: (2016)

Quantification of Intramyocardial Metabolites by Proton Magnetic Resonance Spectroscopy
por: Gillinder, Lisa, et al.
Publicado: (2015)

Corrigendum to “Diffusion-mediated nuclear spin phase decoherence in cylindrically porous materials”[J.Magn. Reson. 269 (2016) 1–12]
por: Knight, Michael J., et al.
Publicado: (2016)

Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy
por: Zarinabad, Niloufar, et al.
Publicado: (2016)

Magnetic Resonance Relaxation Anisotropy: Physical Principles and Uses in Microstructure Imaging
por: Knight, Michael J., et al.
Publicado: (2017)

High resolution magic angle spinning 1H NMR of childhood brain and nervous system tumours
por: Wilson, Martin, et al.
Publicado: (2009)

MBRS-69. METABOLITE PROFILING OF SHH MEDULLOBLASTOMA IDENTIFIES A SUBSET OF CHILDHOOD TUMOURS ENRICHED FOR HIGH-RISK MOLECULAR BIOMARKERS AND CLINICAL FEATURES
por: Bennett, Christopher, et al.
Publicado: (2020)

EPEN-23. A COMPUTATIONAL ANALYSIS OF THE TUMOUR IMMUNE MICROENVIRONMENT IN PAEDIATRIC EPENDYMOMA
por: Ritzmann, Timothy, et al.
Publicado: (2020)

Nuclear magnetic resonance spectroscopy is highly sensitive for lipid-soluble metabolites
por: Dai, Haiyang, et al.
Publicado: (2013)

The impact of magnetic resonance imaging spectroscopy parameters on differentiating between paediatric medulloblastoma and ependymoma
por: Duc, Nguyen Minh
Publicado: (2021)

Paediatric acquired demyelinating syndromes: incidence, clinical and magnetic resonance imaging features
por: Absoud, Michael, et al.
Publicado: (2013)

EPEN-43. TARGETING INTRA-TUMOUR HETEROGENEITY IN PAEDIATRIC EPENDYMOMA: AN INTEGRATED OMICS STUDY TOWARDS PATIENT-TAILORED THERAPY
por: Pandele, Alina, et al.
Publicado: (2020)

Fourier transforms in spectroscopy
por: Kauppinen, Jyrki, et al.
Publicado: (2000)

TBIO-14. CHARACTERISATION OF THE ARGININE PATHWAY ENZYMES IN PAEDIATRIC BRAIN TUMOURS TO DETERMINE SUSCEPTIBILITY TO THERAPEUTIC ARGININE DEPLETION
por: Bishop, Eleanor, et al.
Publicado: (2020)

Magnetic Resonance Imaging to Detect Early Molecular and Cellular Changes in Alzheimer's Disease
por: Knight, Michael J., et al.
Publicado: (2016)

In vivo nuclear magnetic resonance spectroscopy of a transplanted brain tumour.
por: Koeze, T. H., et al.
Publicado: (1984)

Consistency of frontal cortex metabolites quantified by magnetic resonance spectroscopy within overlapping small and large voxels
por: DeMayo, Marilena M., et al.
Publicado: (2023)

Health professional perspectives on lifestyle behaviour change in the paediatric hospital setting: a qualitative study
por: Elwell, Laura, et al.
Publicado: (2014)

Pitfalls in the diagnosis of paediatric tumours
por: McHugh, K.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_ipjhc88ljrjvggs1brin70mj6n