Literature DB >> 21114820

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

Alexander Pérez-Ruiz1, Margarida Julià-Sapé, Guillem Mercadal, Iván Olier, Carles Majós, Carles Arús.   

Abstract

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 1st, can be easily used with any new case from any MR scanner manufacturer and 2nd, 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.

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Year:  2010        PMID: 21114820      PMCID: PMC3004884          DOI: 10.1186/1471-2105-11-581

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  26 in total

1.  A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: nosologic images.

Authors:  F S De Edelenyi; C Rubin; F Estève; S Grand; M Décorps; V Lefournier; J F Le Bas; C Rémy
Journal:  Nat Med       Date:  2000-11       Impact factor: 53.440

2.  SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system.

Authors:  Sandra Ortega-Martorell; Iván Olier; Margarida Julià-Sapé; Carles Arús
Journal:  BMC Bioinformatics       Date:  2010-02-24       Impact factor: 3.169

3.  Classification of brain tumours using short echo time 1H MR spectra.

Authors:  A Devos; L Lukas; J A K Suykens; L Vanhamme; A R Tate; F A Howe; C Majós; A Moreno-Torres; M van der Graaf; C Arús; S Van Huffel
Journal:  J Magn Reson       Date:  2004-09       Impact factor: 2.229

Review 4.  1H MR spectroscopy of brain tumours and masses.

Authors:  Franklyn A Howe; Kirstie S Opstad
Journal:  NMR Biomed       Date:  2003-05       Impact factor: 4.044

5.  Differentiation of metastases from high-grade gliomas using short echo time 1H spectroscopy.

Authors:  Kirstie S Opstad; Mary M Murphy; Peter R Wilkins; B Anthony Bell; John R Griffiths; Franklyn A Howe
Journal:  J Magn Reson Imaging       Date:  2004-08       Impact factor: 4.813

Review 6.  In vivo molecular imaging for planning radiation therapy of gliomas: an application of 1H MRSI.

Authors:  Sarah J Nelson; Edward Graves; Andrea Pirzkall; Xiaojuan Li; Antionette Antiniw Chan; Daniel B Vigneron; Tracy R McKnight
Journal:  J Magn Reson Imaging       Date:  2002-10       Impact factor: 4.813

7.  A chemometric approach for brain tumor classification using magnetic resonance imaging and spectroscopy.

Authors:  Arjan W Simonetti; Willem J Melssen; Marinette van der Graaf; Geert J Postma; Arend Heerschap; Lutgarde M C Buydens
Journal:  Anal Chem       Date:  2003-10-15       Impact factor: 6.986

8.  Brain tumor classification based on long echo proton MRS signals.

Authors:  L Lukas; A Devos; J A K Suykens; L Vanhamme; F A Howe; C Majós; A Moreno-Torres; M Van der Graaf; A R Tate; C Arús; S Van Huffel
Journal:  Artif Intell Med       Date:  2004-05       Impact factor: 5.326

9.  Automated classification of short echo time in in vivo 1H brain tumor spectra: a multicenter study.

Authors:  A Rosemary Tate; Carles Majós; Angel Moreno; Franklyn A Howe; John R Griffiths; Carles Arús
Journal:  Magn Reson Med       Date:  2003-01       Impact factor: 4.668

10.  Java-based graphical user interface for the MRUI quantitation package.

Authors:  A Naressi; C Couturier; J M Devos; M Janssen; C Mangeat; R de Beer; D Graveron-Demilly
Journal:  MAGMA       Date:  2001-05       Impact factor: 2.533

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  14 in total

Review 1.  Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques.

Authors:  Evangelia Tsolaki; Evanthia Kousi; Patricia Svolos; Efthychia Kapsalaki; Kyriaki Theodorou; Constastine Kappas; Ioannis Tsougos
Journal:  World J Radiol       Date:  2014-04-28

Review 2.  Functional imaging in adult and paediatric brain tumours.

Authors:  Andrew C Peet; Theodoros N Arvanitis; Martin O Leach; Adam D Waldman
Journal:  Nat Rev Clin Oncol       Date:  2012-11-13       Impact factor: 66.675

3.  Magnetic resonance spectroscopy detectable metabolomic fingerprint of response to antineoplastic treatment.

Authors:  Alessia Lodi; Sabrina M Ronen
Journal:  PLoS One       Date:  2011-10-12       Impact factor: 3.240

4.  Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours.

Authors:  Sandra Ortega-Martorell; Paulo J G Lisboa; Alfredo Vellido; Margarida Julià-Sapé; Carles Arús
Journal:  BMC Bioinformatics       Date:  2012-03-08       Impact factor: 3.169

Review 5.  MRS-based Metabolomics in Cancer Research.

Authors:  Tedros Bezabeh; Omkar B Ijare; Alexander E Nikulin; Rajmund L Somorjai; Ian Cp Smith
Journal:  Magn Reson Insights       Date:  2014-02-13

6.  Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations.

Authors:  Andrew A Maudsley; Ovidiu C Andronesi; Peter B Barker; Alberto Bizzi; Wolfgang Bogner; Anke Henning; Sarah J Nelson; Stefan Posse; Dikoma C Shungu; Brian J Soher
Journal:  NMR Biomed       Date:  2020-04-29       Impact factor: 4.044

7.  Strategies for annotation and curation of translational databases: the eTUMOUR project.

Authors:  Margarida Julià-Sapé; Miguel Lurgi; Mariola Mier; Francesc Estanyol; Xavier Rafael; Ana Paula Candiota; Anna Barceló; Alina García; M Carmen Martínez-Bisbal; Rubén Ferrer-Luna; Ángel Moreno-Torres; Bernardo Celda; Carles Arús
Journal:  Database (Oxford)       Date:  2012-11-22       Impact factor: 3.451

8.  A knowledge-based decision support system in bioinformatics: an application to protein complex extraction.

Authors:  Antonino Fiannaca; Massimo La Rosa; Alfonso Urso; Riccardo Rizzo; Salvatore Gaglio
Journal:  BMC Bioinformatics       Date:  2013-01-14       Impact factor: 3.169

9.  From raw data to data-analysis for magnetic resonance spectroscopy--the missing link: jMRUI2XML.

Authors:  Victor Mocioiu; Sandra Ortega-Martorell; Iván Olier; Michal Jablonski; Jana Starcukova; Paulo Lisboa; Carles Arús; Margarida Julià-Sapé
Journal:  BMC Bioinformatics       Date:  2015-11-09       Impact factor: 3.169

10.  A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data.

Authors:  Sandra Ortega-Martorell; Héctor Ruiz; Alfredo Vellido; Iván Olier; Enrique Romero; Margarida Julià-Sapé; José D Martín; Ian H Jarman; Carles Arús; Paulo J G Lisboa
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

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