Autores UPV
Fuster i Garcia Elies,
Navarro Clara,
Vicente Robledo Javier,
Tortajada Velert Salvador,
García Gómez Juan Miguel,
Sáez Silvestre Carlos,
Calvar Jorge,
John Griffiths,
MARGARIDA JULIÀ-SAPÉ,
FRANKLYN HOWE,
JESÚS PUJOL,
ANDREW CHARLES PEET,
AREND HEERSCHAP,
ÀNGEL MORENO-TORRES,
M. CARMEN MARTÍNEZ-BISBAL,
M. BEATRIZ MARTÍNEZ GRANADOS,
PIETER WESSELING,
Semmler Wolfhard,
Capellades Jaume ,
Majós Carles,
Alberich Bayarri Ángel,
Capdevila Antoni ,
DANIEL MONLEÓN,
LUIS MARTÍ BONMATÍ,
CARLES ARÚS,
BERNARDO CELDA MUÑOZ,
Robles Viejo Monserrat
Abstract
Object: This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing large databases of 1.5T MRS data to be used for diagnostic classification of 3T spectra, and perhaps also the combination of 1.5T and 3T databases. Materials and methods: Brain tumour classifiers trained with 154 1.5T spectra to discriminate among high grade malignant tumours and common grade II glial tumours were evaluated with a subsequently-acquired set of 155 1.5T and 37 3T spectra. A similarity study between spectra and main brain tumour metabolite ratios for both field strengths (1.5T and 3T) was also performed. Results: Our results showed that classifiers trained with 1.5T samples had similar accuracy for both test datasets (0.87 ± 0.03 for 1.5T and 0.88 ± 0.03 for 3.0T). Moreover, non-significant differences were observed with most metabolite ratios and spectral patterns. Conclusion: These results encourage the use of existing classifiers based on 1.5T datasets for diagnosis with 3T 1H SV-MRS. The large 1.5T databases compiled throughout many years and the prediction models based on 1.5T acquisitions can therefore continue to be used with data from the new 3T instruments. © 2011 ESMRMB.
