Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra.

Anne Tate 1, 2 Joshua Underwood 2 Dionisio Acosta 2, 3 Margarida Julià-Sapé 3 Carles Majós 4 Angel Moreno-Torres 5 Franklyn Howe 1 Marinette Van Der Graaf 6 Virginie Lefournier 7 Mary Murphy 1 Alison Loosemore 1 Christophe Ladroue 1 Pieter Wesseling 8 Jean Luc Bosson 9 Miquel Cabañas 10 Arjan Simonetti 11 Witold Gajewicz 12 Jorge Calvar 13 Antoni Capdevila 5 Peter Wilkins 1 B Anthony Bell 1 Chantal Rémy 9 Arend Heerschap 6 Des Watson 2 John Griffiths 1 Carles Arús 3, *
* Auteur correspondant
1 St George's
2 Department of Informatics
3 Departament de Bioquímica i Biologia Molecular
4 Institut de Diagnòstic per la Imatge
5 Centre Diagnòstic Pedralbes
6 Department of Radiology
7 Département de neuro-radiologie
8 Department of Pathology
9 Neuroimagerie Fonctionnelle et Metabolique
10 Servei de Ressonància Magnètica Nuclear
11 Institute for Molecules and Materials Analytical Chemistry
12 Department of Radiology
13 FLENI - Servicio de Resonancia Magnética
Abstract : A computer-based decision support system to assist radiologists in diagnosing and grading brain tumours has been developed by the multi-centre INTERPRET project. Spectra from a database of 1H single-voxel spectra of different types of brain tumours, acquired in vivo from 334 patients at four different centres, are clustered according to their pathology, using automated pattern recognition techniques and the results are presented as a two-dimensional scatterplot using an intuitive graphical user interface (GUI). Formal quality control procedures were performed to standardize the performance of the instruments and check each spectrum, and teams of expert neuroradiologists, neurosurgeons, neurologists and neuropathologists clinically validated each case. The prototype decision support system (DSS) successfully classified 89% of the cases in an independent test set of 91 cases of the most frequent tumour types (meningiomas, low-grade gliomas and high-grade malignant tumours--glioblastomas and metastases). It also helps to resolve diagnostic difficulty in borderline cases. When the prototype was tested by radiologists and other clinicians it was favourably received. Results of the preliminary clinical analysis of the added value of using the DSS for brain tumour diagnosis with MRS showed a small but significant improvement over MRI used alone. In the comparison of individual pathologies, PNETs were significantly better diagnosed with the DSS than with MRI alone.
Type de document :
Article dans une revue
NMR in Biomedicine, Wiley, 2006, 19 (4), pp.411-34. 〈10.1002/nbm.1016〉
Liste complète des métadonnées

Littérature citée [47 références]  Voir  Masquer  Télécharger
http://www.hal.inserm.fr/inserm-00388984
Contributeur : Michel Dojat <>
Soumis le : lundi 17 août 2009 - 16:06:59
Dernière modification le : mercredi 13 décembre 2017 - 15:34:16
Document(s) archivé(s) le : samedi 26 novembre 2016 - 09:36:03

Fichier

 Accès restreint
Fichier visible le : jamais

Connectez-vous pour demander l'accès au fichier

Identifiants

Collections

U836 | UGA

Citation

Anne Tate, Joshua Underwood, Dionisio Acosta, Margarida Julià-Sapé, Carles Majós, et al.. Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra.. NMR in Biomedicine, Wiley, 2006, 19 (4), pp.411-34. 〈10.1002/nbm.1016〉. 〈inserm-00388984〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

178

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD