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AJNR - American Journal of Neuroradiology

Published ahead of print on December 18, 2008
doi: 10.3174/ajnr.A1392

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American Journal of Neuroradiology 30:544-551, March 2009
© 2009 American Society of Neuroradiology

BRAIN

Proton MR Spectroscopy Improves Discrimination between Tumor and Pseudotumoral Lesion in Solid Brain Masses

C. Majós^a,c, C. Aguilera^a,c, J. Alonso^b, M. Julià-Sapé^c,d, S. Castañer^a, J.J. Sánchez^a, Á. Samitier^a, A. León^b, Á. Rovira^c and C. Arús^c,d

^a Institut de Diagnòstic per la Imatge (IDI), Centre Bellvitge, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
^b Unitat de Ressonància Magnètica (IDI), Servei de Radiologia, Hospital Universitari Vall d'Hebron, Barcelona, Spain
^c Centro de Investigaciónen Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain
^d Department de Bioquímica i Biologia Molecular, Unitat de Bioquímica de Biociències, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallés, Spain

Please address correspondence to Carles Majós, Institut de Diagnòstic per la Imatge (IDI), Centre Bellvitge, Hospital Universitari de Bellvitge, Autovia de Castelldefels km 2.7, 08907 L'Hospitalet de Llobregat, Spain; e-mail: cmajos{at}csub.scs.es

BACKGROUND AND PURPOSE: Differentiating between tumors and pseudotumoral lesions by conventional MR imaging may be a challenging question. This study aims to evaluate the potential usefulness and the added value that single-voxel proton MR spectroscopy could provide on this discrimination.

MATERIALS AND METHODS: A total of 84 solid brain lesions were retrospectively included in the study (68 glial tumors and 16 pseudotumoral lesions). Single-voxel spectra at TE 30 ms (short TE) and 136 ms (long TE) were available in all cases. Two groups were defined: "training-set" (56 cases) and "test-set" (28 cases). Tumors and pseudotumors were compared in the training-set with the Mann-Whitney U test. Ratios between resonances were defined as classifiers for new cases, and thresholds were selected with receiver operating characteristic (ROC) curves. The added value of spectroscopy was evaluated by 5 neuroradiologists and assessed with the Wilcoxon signed-rank test.

RESULTS: Differences between tumors and pseudotumors were found in myo-inositol (mIns); P < .01) at short TE, and N-acetylaspartate (NAA; P < .001), glutamine (Glx; P < .01), and choline (CHO; P < .05) at long TE. Classifiers suggested tumor when mIns/NAA ratio was more than 0.9 at short TE and also when CHO/NAA ratio was more than 1.9 at long TE. Classifier accuracy was tested in the test-set with the following results: short TE, 82% (23/28); long TE, 79% (22/28). The neuroradiologists’ confidence rating of the test-cases on a 5-point scale (0–4) improved between 5% (from 2.86–3) and 27% (from 2.25–2.86) with spectroscopy (mean, 17%; P < .01).

CONCLUSIONS: The proposed ratios of mIns/NAA at short TE and CHO/NAA at long TE provide valuable information to discriminate between brain tumor and pseudotumor by improving neuroradiologists’ accuracy and confidence.