Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra
- نوع فایل : کتاب
- زبان : انگلیسی
- مؤلف : Elies Fuster-Garcia · Clara Navarro · Javier Vicente · Salvador Tortajada · Juan M. Garcیa-Gَmez · Carlos Sلez · Jorge Calvar · John Griffiths · Marg
- چاپ و سال / کشور: 2011
Description
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 and37 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, nonsignificant 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 SVMRS. 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.
Magn Reson Mater Phy (2011) 24:35–42 DOI 10.1007/s10334-010-0241-8 Received: 16 February 2010 / Revised: 6 October 2010 / Accepted: 17 November 2010 / Published online: 20 January 2011
