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Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study

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Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study

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dc.contributor.author Vicente Robledo, Javier es_ES
dc.contributor.author Fuster García, Elíes es_ES
dc.contributor.author Tortajada Velert, Salvador es_ES
dc.contributor.author García Gómez, Juan Miguel es_ES
dc.contributor.author Davies, Nigel es_ES
dc.contributor.author Natarajan, Kal es_ES
dc.contributor.author Wilson, Martin es_ES
dc.contributor.author Grundy, Richard G. es_ES
dc.contributor.author Wesseling, Pieter es_ES
dc.contributor.author Monleón, Daniel es_ES
dc.contributor.author Celda, Bernardo es_ES
dc.contributor.author Robles, Montserrat es_ES
dc.contributor.author Peet, Andrew C. es_ES
dc.date.accessioned 2014-03-03T11:30:14Z
dc.date.issued 2013-02
dc.identifier.issn 0959-8049
dc.identifier.uri http://hdl.handle.net/10251/36089
dc.description.abstract 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. es_ES
dc.description.sponsorship 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). en_EN
dc.format.extent 10 es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation European Commission [FP6-2002-LIFESCIHEALTH 503094] es_ES
dc.relation.ispartof European Journal of Cancer es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject 1H MRS es_ES
dc.subject Paediatric brain tumours es_ES
dc.subject Classification es_ES
dc.subject Pattern recognition es_ES
dc.subject Feature extraction es_ES
dc.subject Pre-surgery diagnosis assessment es_ES
dc.subject Non-invasive diagnosis es_ES
dc.subject Multi-centre study es_ES
dc.subject Clinical assessment es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1016/j.ejca.2012.09.003
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.ejca.2012.09.003 es_ES
dc.description.upvformatpinicio 658 es_ES
dc.description.upvformatpfin 667 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 49 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 234778


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