Noninvasive diagnostic assessment of brain tumors using combined in vivo MR imaging and spectroscopy

被引:55
作者
Galanaud, Damien
Nicoli, Francois
Chinot, Olivier
Confort-Gouny, Sylviane
Figarella-Branger, Dominique
Roche, Pierre
Fuentes, Stephane
Le Fur, Yann
Ranjeva, Jean-Philippe
Cozzone, Patrick J.
机构
[1] Univ Mediterranee, Fac Med, CRMBM, CNRS,UMR 6612, F-13005 Marseille, France
[2] Hop Enfants La Timone, Marseille, France
[3] Hop Enfants La Timone, Dept Neurosurg, Marseille, France
[4] Hop Enfants La Timone, Dept Neuropathol, Marseille, France
[5] Hop St Marguerite, Dept Neurosurg, Marseille, France
关键词
brain tumors; MRI; MRS; multimodal imaging; discriminant analysis;
D O I
10.1002/mrm.20886
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
To determine the potential value of multimodal MRI for the presurgical management of patients with brain tumors, we performed combined magnetic resonance imaging (MRI) and proton MR spectroscopy (MRS) in 164 patients who presented with tumors of various histological subtypes confirmed by surgical biopsy. Univariate statistical analysis of metabolic ratios carried out on the first 121 patients demonstrated significant differences in between-group comparisons, but failed to provide sufficiently robust classification of individual cases. However, a multivariate statistical approach correctly classified the tumors using linear discriminant analysis (LDA) of combined MRI and MRS data. After initial separation of contrast-enhancing and non-contrast-enhancing lesions, 91% of the former and 87% of the latter were correctly classified. The results were stable when this diagnostic strategy was tested on the additional 43 patients included for validation after the initial statistical analysis, with over 90% of correct classification. Combined MRI and MRS had superior diagnostic value compared to MRS alone, especially in the contrast-enhancing group. This study shows the clinical value of a multivariate statistical analysis based on multimodal MRI and MRS for the noninvasive evaluation of intracraniall tumors.
引用
收藏
页码:1236 / 1245
页数:10
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