Brain Tumor Classification by Proton MR Spectroscopy: Comparison of Diagnostic Accuracy at Short and Long TE
Carles Majósa,
Margarida Julià-Sapéb,
Juli Alonsoa,
Marta Serrallongaa,
Carles Aguileraa,
Juan J. Acebesc,
Carles Arúsb and
Jaume Gilia
a Institut de Diagnòstic per la Imatge, Hospital Duran i Reynals, LHospitalet de Llobregat, Barcelona, Spain
b Departament de Bioquímica i Biologia Molecular, Unitat de Ciències, Universitat Autònoma de Barcelona, Barcelona, Spain
c Department of Neurosurgery, Hospital Prínceps dEspanya, LHospitalet de Llobregat, Barcelona, Spain

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FIG 1. Mean spectra at short TE (TE = 30) of the five tumor types included in the study.
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FIG 2. Mean spectra at long TE (TE = 136) of the five tumor types included in the study.
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FIG 3. Box plots show the distribution of some relevant resonances. The horizontal line is the median, the ends of the boxes are the upper and lower quartiles, and the vertical lines show the full range of values in the data. The extreme points (*) are outliers.
A, LIP13 at short TE.
B, LIP13 at long TE.
C, Ala at short TE.
D, Ala at long TE.
E, CR at short TE.
F, CR at long TE.
G, CHO at short TE.
H, CHO at long TE.
I, Gly/MI at short TE.
J, Gly/MI at long TE.
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FIG 4. Scatter plots show the distribution of the complete set of cases at short TE (A) and long TE (B) by using the two first discriminant functions obtained for linear discriminant analysis (x axis, value obtained with the first discriminant function; y axis, value obtained with the second discriminant function). Open circle indicates meningiomas; open square, low-grade astrocytomas; open diamond, anaplastic astrocytomas; open triangle, glioblastomas-metastases. The large black symbols show the centroid for every tumor group. With this method, new cases with unknown diagnosis are classified according to their distance to the centroids.
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