Vicente Robledo, J.; Fuster Garcia, E.; Tortajada Velert, S.; García Gómez, JM.; Davies, N.; Natarajan, K.; Wilson, M.... (2013). Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study. European Journal of Cancer. 49(3):658-667. doi:10.1016/j.ejca.2012.09.003
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/36089
Título:
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Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study
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Autor:
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Vicente Robledo, Javier
Fuster García, Elíes
Tortajada Velert, Salvador
García Gómez, Juan Miguel
Davies, Nigel
Natarajan, Kal
Wilson, Martin
Grundy, Richard G.
Wesseling, Pieter
Monleón, Daniel
Celda, Bernardo
Robles, Montserrat
Peet, Andrew C.
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Entidad UPV:
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Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
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Fecha difusión:
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Resumen:
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Aims: To evaluate the accuracy of single-voxel Magnetic Resonance
Spectroscopy (1H-MRS) as a non-invasive diagnostic aid for pediatric brain
tumours in a multi-national study. Our hypotheses are (1) that automated
cla ...[+]
Aims: To evaluate the accuracy of single-voxel Magnetic Resonance
Spectroscopy (1H-MRS) as a non-invasive diagnostic aid for pediatric brain
tumours in a multi-national study. Our hypotheses are (1) that automated
classification based on 1H-MRS provides an accurate non-invasive diagnosis
in multi-centre datasets and (2) using a protocol which increases the
metabolite information improves the diagnostic accuracy. Methods: 78 patients under 16 years old with histologically proven brain
tumours from 10 international centres were investigated. Discrimination of 29
medulloblastomas, 11 ependymomas and 38 pilocytic astrocytomas was
evaluated. Single-voxel MRS was undertaken prior to diagnosis (1.5Tesla
PRESS, PROBE or STEAM, TE 20-32 ms, and 135-136 ms). MRS data was
processed using two strategies, determination of metabolite concentrations
using TARQUIN software and automatic feature extraction with Peak
Integration. Linear Discriminant Analysis was applied to this data to produce
diagnostic classifiers. An evaluation of the diagnostic accuracy was performed
based on resampling to measure the Balanced Accuracy Rate (BAR). Results: The accuracy of the diagnostic classifiers for discriminating the three
tumour types was found to be high (BAR 0.98) when a combination of TE was
used. The combination of both TE significantly improved the classification
performance (p < 0.01, Tukey¿s test) compared with the use of one TE alone. 3
Other tumour types were classified accurately as glial or primitive
neuroectodermal (BAR 1.00).
Conclusions: 1H-MRS has excellent accuracy for the non-invasive diagnosis
of common childhood brain tumours particularly if the metabolite information is
maximised and should become part of routine clinical assessment for these
children.
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Palabras clave:
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1H MRS
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Paediatric brain tumours
,
Classification
,
Pattern recognition
,
Feature extraction
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Pre-surgery diagnosis assessment
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Non-invasive diagnosis
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Multi-centre study
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Clinical assessment
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Derechos de uso:
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Reserva de todos los derechos
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Fuente:
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European Journal of Cancer. (issn:
0959-8049
)
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DOI:
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10.1016/j.ejca.2012.09.003
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Editorial:
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Elsevier
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Versión del editor:
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http://dx.doi.org/10.1016/j.ejca.2012.09.003
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Código del Proyecto:
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info:eu-repo/grantAgreement/EC/FP6/503094/EU/WEB ACCESSIBLE MR DECISION SUPPORT SYSTEM FOR BRAIN TUMOUR DIAGNOSIS AND PROGNOSIS, INCORPORATING IN VIVO AND EX VIVO GENOMIC AND METABOLIMIC DATA/ETUMOUR/
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Agradecimientos:
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This work was funded by the European Commission (FP6-2002-LIFESCIHEALTH 503094). Additional analysis was made available through the CR UK and EPSRC Cancer Imaging Programme at the Children's cancer and Leukaemia Group in ...[+]
This work was funded by the European Commission (FP6-2002-LIFESCIHEALTH 503094). Additional analysis was made available through the CR UK and EPSRC Cancer Imaging Programme at the Children's cancer and Leukaemia Group in association with the MRC and Department of Health (England) (C7809/A10342). We thank eTUMOUR partners for providing data, in particular J. Capellades (IDI-Badalona), C. Majos (IDI-Bellvitge), A. Moreno (Centre Diagnostic Pedralbes), J. Calvar (FLENI) and A. Capdevila (H. Sant Joan de Deu).
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Tipo:
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Artículo
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