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Classification of single voxel 1H spectra of brain tumours using LCModel

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Classification of single voxel 1H spectra of brain tumours using LCModel

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Nombre: Fuster;Raschke;Opstad ...
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dc.contributor.author Raschke, Felix es_ES
dc.contributor.author Fuster García, Elíes es_ES
dc.contributor.author Opstad, K. S. es_ES
dc.contributor.author Howe, Franklyn es_ES
dc.date.accessioned 2017-09-18T09:08:49Z
dc.date.available 2017-09-18T09:08:49Z
dc.date.issued 2012-02
dc.identifier.issn 0952-3480
dc.identifier.uri http://hdl.handle.net/10251/87410
dc.description.abstract [EN] This study presents a novel method for the direct classification of H-1 single-voxel MR brain tumour spectra using the widespread analysis tool LCModel. LCModel is designed to estimate individual metabolite proportions by fitting a linear combination of in vitro metabolite spectra to an in vivo MR spectrum. In this study, it is used to fit representations of complete tumour spectra and to perform a classification according to the highest estimated tissue proportion. Each tumour type is represented by two spectra, a mean component and a variability term, as calculated using a principal component analysis of a training dataset. In the same manner, a mean component and a variability term for normal white matter are also added into the analysis to allow a mixed tissue approach. An unbiased evaluation of the method is carried out through the automatic selection of training and test sets using the Kennard and Stone algorithm, and a comparison of LCModel classification results with those of the INTERPRET Decision Support System (IDSS) which incorporates an advanced pattern recognition method. In a test set of 46 spectra comprising glioblastoma multiforme, low-grade gliomas and meningiomas, LCModel gives a classification accuracy of 90% compared with an accuracy of 95% by IDSS. Copyright (C) 2011 John Wiley & Sons, Ltd. es_ES
dc.description.sponsorship FR was supported by grant C7809/A10342 as part of the Cancer Research-UK and Engineering and Physical Sciences Research Council Cancer Imaging Programme at the Children's Cancer and Leukaemia Group (CCLG), in association with the Medical Research Council and Department of Health (England). EF-G acknowledges funding by the Health Institute Carlos III through the RETICS Combiomed. en_EN
dc.language Inglés es_ES
dc.publisher Wiley es_ES
dc.relation.ispartof NMR in Biomedicine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject LCModel es_ES
dc.subject Brain es_ES
dc.subject Tumour es_ES
dc.subject Classification es_ES
dc.subject Pattern es_ES
dc.subject Recognition es_ES
dc.subject MRS es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Classification of single voxel 1H spectra of brain tumours using LCModel es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/nbm.1753
dc.relation.projectID info:eu-repo/grantAgreement/CRUK//C7809%2FA10342/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.description.bibliographicCitation Raschke, F.; Fuster García, E.; Opstad, KS.; Howe, F. (2012). Classification of single voxel 1H spectra of brain tumours using LCModel. NMR in Biomedicine. 25(2):322-331. https://doi.org/10.1002/nbm.1753 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1002/nbm.1753 es_ES
dc.description.upvformatpinicio 322 es_ES
dc.description.upvformatpfin 331 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 25 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 217555 es_ES
dc.identifier.pmid 21796709
dc.contributor.funder Cancer Research, Reino Unido es_ES
dc.contributor.funder Instituto de Salud Carlos III es_ES
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