The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses

Background: Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based techniques, MRS yields not images but spectra of metabolites in the tissues. In pathological situations, the MRS profile cha...

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Detalhes bibliográficos
Autores: Pérez Ruiz, Alexander, Julià Sapé, Margarida, Mercadal, Guillem, Olier, Iván, Majós Torró, Carlos, Arús, Carles
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2010
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/126788
Acesso em linha:https://hdl.handle.net/2445/126788
Access Level:acceso abierto
Palavra-chave:Espectroscòpia
Ressonància magnètica
Tumors cerebrals
Spectrum analysis
Magnetic resonance
Brain tumors
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spelling The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain massesPérez Ruiz, AlexanderJulià Sapé, MargaridaMercadal, GuillemOlier, IvánMajós Torró, CarlosArús, CarlesEspectroscòpiaRessonància magnèticaTumors cerebralsSpectrum analysisMagnetic resonanceBrain tumorsBackground: Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based techniques, MRS yields not images but spectra of metabolites in the tissues. In pathological situations, the MRS profile changes and this has been particularly described for brain tumours. However, radiologists are frequently not familiar to the interpretation of MRS data and for this reason, the usefulness of decision-support systems (DSS) in MRS data analysis has been explored. Results: This work presents the INTERPRET DSS version 3.0, analysing the improvements made from its first release in 2002. Version 3.0 is aimed to be a program that 1(st), can be easily used with any new case from any MR scanner manufacturer and 2(nd), improves the initial analysis capabilities of the first version. The main improvements are an embedded database, user accounts, more diagnostic discrimination capabilities and the possibility to analyse data acquired under additional data acquisition conditions. Other improvements include a customisable graphical user interface (GUI). Most diagnostic problems included have been addressed through a pattern-recognition based approach, in which classifiers based on linear discriminant analysis (LDA) were trained and tested. Conclusions: The INTERPRET DSS 3.0 allows radiologists, medical physicists, biochemists or, generally speaking, any person with a minimum knowledge of what an MR spectrum is, to enter their own SV raw data, acquired at 1.5 T, and to analyse them. The system is expected to help in the categorisation of MR Spectra from abnormal brain masses.Biomed Central2018201820102018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion12 p.application/pdfapplication/pdfhttps://hdl.handle.net/2445/126788Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1186/1471-2105-11-581BMC Bioinformatics, 2010, vol. 11, num. 581https://doi.org/10.1186/1471-2105-11-581cc by (c) Pérez Ruiz et al., 2010http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1267882026-05-29T05:05:01Z
dc.title.none.fl_str_mv The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
title The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
spellingShingle The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
Pérez Ruiz, Alexander
Espectroscòpia
Ressonància magnètica
Tumors cerebrals
Spectrum analysis
Magnetic resonance
Brain tumors
title_short The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
title_full The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
title_fullStr The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
title_full_unstemmed The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
title_sort The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
dc.creator.none.fl_str_mv Pérez Ruiz, Alexander
Julià Sapé, Margarida
Mercadal, Guillem
Olier, Iván
Majós Torró, Carlos
Arús, Carles
author Pérez Ruiz, Alexander
author_facet Pérez Ruiz, Alexander
Julià Sapé, Margarida
Mercadal, Guillem
Olier, Iván
Majós Torró, Carlos
Arús, Carles
author_role author
author2 Julià Sapé, Margarida
Mercadal, Guillem
Olier, Iván
Majós Torró, Carlos
Arús, Carles
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Espectroscòpia
Ressonància magnètica
Tumors cerebrals
Spectrum analysis
Magnetic resonance
Brain tumors
topic Espectroscòpia
Ressonància magnètica
Tumors cerebrals
Spectrum analysis
Magnetic resonance
Brain tumors
description Background: Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based techniques, MRS yields not images but spectra of metabolites in the tissues. In pathological situations, the MRS profile changes and this has been particularly described for brain tumours. However, radiologists are frequently not familiar to the interpretation of MRS data and for this reason, the usefulness of decision-support systems (DSS) in MRS data analysis has been explored. Results: This work presents the INTERPRET DSS version 3.0, analysing the improvements made from its first release in 2002. Version 3.0 is aimed to be a program that 1(st), can be easily used with any new case from any MR scanner manufacturer and 2(nd), improves the initial analysis capabilities of the first version. The main improvements are an embedded database, user accounts, more diagnostic discrimination capabilities and the possibility to analyse data acquired under additional data acquisition conditions. Other improvements include a customisable graphical user interface (GUI). Most diagnostic problems included have been addressed through a pattern-recognition based approach, in which classifiers based on linear discriminant analysis (LDA) were trained and tested. Conclusions: The INTERPRET DSS 3.0 allows radiologists, medical physicists, biochemists or, generally speaking, any person with a minimum knowledge of what an MR spectrum is, to enter their own SV raw data, acquired at 1.5 T, and to analyse them. The system is expected to help in the categorisation of MR Spectra from abnormal brain masses.
publishDate 2010
dc.date.none.fl_str_mv 2010
2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/126788
url https://hdl.handle.net/2445/126788
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1186/1471-2105-11-581
BMC Bioinformatics, 2010, vol. 11, num. 581
https://doi.org/10.1186/1471-2105-11-581
dc.rights.none.fl_str_mv cc by (c) Pérez Ruiz et al., 2010
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by (c) Pérez Ruiz et al., 2010
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Biomed Central
publisher.none.fl_str_mv Biomed Central
dc.source.none.fl_str_mv Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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