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Classification of brain tumours from MR spectra: the INTERPRET collaboration and its outcomes.

Julià-Sapé, M; Griffiths, JR; Tate, AR; Howe, FA; Acosta, D; Postma, G; Underwood, J; Majós, C; Arús, C (2015) Classification of brain tumours from MR spectra: the INTERPRET collaboration and its outcomes. NMR Biomed, 28 (12). pp. 1772-1787. ISSN 1099-1492 https://doi.org/10.1002/nbm.3439
SGUL Authors: Howe, Franklyn Arron

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Abstract

The INTERPRET project was a multicentre European collaboration, carried out from 2000 to 2002, which developed a decision-support system (DSS) for helping neuroradiologists with no experience of MRS to utilize spectroscopic data for the diagnosis and grading of human brain tumours. INTERPRET gathered a large collection of MR spectra of brain tumours and pseudo-tumoural lesions from seven centres. Consensus acquisition protocols, a standard processing pipeline and strict methods for quality control of the aquired data were put in place. Particular emphasis was placed on ensuring the diagnostic certainty of each case, for which all cases were evaluated by a clinical data validation committee. One outcome of the project is a database of 304 fully validated spectra from brain tumours, pseudotumoural lesions and normal brains, along with their associated images and clinical data, which remains available to the scientific and medical community. The second is the INTERPRET DSS, which has continued to be developed and clinically evaluated since the project ended. We also review here the results of the post-INTERPRET period. We evaluate the results of the studies with the INTERPRET database by other consortia or research groups. A summary of the clinical evaluations that have been performed on the post-INTERPRET DSS versions is also presented. Several have shown that diagnostic certainty can be improved for certain tumour types when the INTERPRET DSS is used in conjunction with conventional radiological image interpretation. About 30 papers concerned with the INTERPRET single-voxel dataset have so far been published. We discuss stengths and weaknesses of the DSS and the lessons learned. Finally we speculate on how the INTERPRET concept might be carried into the future.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Julià-Sapé, M., Griffiths, J. R., Tate, R. A., Howe, F. A., Acosta, D., Postma, G., Underwood, J., Majós, C., and Arús, C. (2015) Classification of brain tumours from MR spectra: the INTERPRET collaboration and its outcomes. NMR Biomed., 28: 1772–1787., which has been published in final form at http://dx.doi.org/10.1002/nbm.3439. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Erratum available at http://doi.org/10.1002/nbm.3483
Keywords: MRS, brain, classifier, database, decision-support system, human, interpret, tumour, Biomarkers, Tumor, Brain Neoplasms, Europe, Gene Expression Profiling, Humans, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Molecular Imaging, Neoplasm Proteins, Reproducibility of Results, Sensitivity and Specificity, Nuclear Medicine & Medical Imaging, 1103 Clinical Sciences, 0304 Medicinal And Biomolecular Chemistry, 0903 Biomedical Engineering
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) > Neuroscience (INCCNS)
Journal or Publication Title: NMR Biomed
ISSN: 1099-1492
Language: eng
Dates:
DateEvent
December 2015Published
26 November 2015Published Online
1 October 2015Accepted
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
C1459/A2592Cancer Research UKUNSPECIFIED
PubMed ID: 26768492
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/108762
Publisher's version: https://doi.org/10.1002/nbm.3439

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