Classification of Brain Tumours from MR Spectra: The INTERPRET Collaboration and its Outcomes
Tate, A Rosemary
NMR in Biomedicine
MetadataShow full item record
Julià-Sapé, M., Griffiths, J., Tate, A. R., Howe, F., Acosta, D., Postma, G., Underwood, J., et al. (2015). Classification of Brain Tumours from MR Spectra: The INTERPRET Collaboration and its Outcomes. NMR in Biomedicine, 28 1772-1787. https://doi.org/10.1002/nbm.3439
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 utilise spectroscopic data for the diagnosis and grading of human brain tumours. Its development involved gathering 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 put on ensuring 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 is available to the scientific and medical community and has been the basis of twenty-one papers. The second is the INTERPRET DSS, which has continued to be developed and clinically evaluated after the project ended. We also review here the results of the post-INTERPRET period. We evaluate the results of the studies that have been performed with the INTERPRET database after sharing its data with 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.
human, interpret, brain, tumour, magnetic resonance spectroscopy, classifier, database, decision-support system
Funding from project MARESCAN (SAF2011-23870) from Ministerio de Economia y Competitividad in Spain. This work was also partially funded by CIBER-BBN, which is an initiative of the VI National R&D&i Plan 2008-2011, CIBER Actions and financed by the Instituto de Salud Carlos III with assistance from the European Regional Development Fund. JRG acknowledges support from Cancer Research UK, the University of Cambridge and Hutchison Whampoa Ltd.
Cancer Research UK (CB4110)
External DOI: https://doi.org/10.1002/nbm.3439
This record's URL: https://www.repository.cam.ac.uk/handle/1810/251321