Histopathological validation of a three-dimensional magnetic resonance spectroscopy index as a predictor of tumor presence

被引:209
作者
McKnight, TR
von dem Bussche, MH
Vigneron, DB
Lu, Y
Berger, MS
McDermott, MW
Dillon, WP
Graves, EE
Pirzkall, A
Nelson, SJ
机构
[1] Univ Calif San Francisco, Magnet Resonance Sci Ctr, Dept Radiol, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Neurol Surg, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Dept Radiat Oncol, San Francisco, CA 94143 USA
[4] Univ Calif San Francisco, Dept Biostat Core, Ctr Comprehens Canc, San Francisco, CA 94143 USA
[5] Univ Calif San Diego, Dept Neurosci, San Diego, CA 92103 USA
关键词
glioma; brain; biopsy; magnetic resonance spectroscopy; choline; N-acetylaspartate;
D O I
10.3171/jns.2002.97.4.0794
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Object. Data obtained preoperatively from three-dimensional (3D)/proton magnetic resonance (MR) spectroscopy were compared with the results of histopathological assays of tissue biopsies obtained during surgery to verify the sensitivity and specificity of a choline-containing compound-N-acetylaspartate index (CNI) used to distinguish tumor from nontumorous tissue within T-2 hyperintense and contrast-enhancing lesions of patients with untreated gliomas. The information gleaned from the biopsy correlation study was used to test the hypothesis that there is metabolically active tumor in non-enhancing regions of the T-2-hyperintense lesion that can be detected using MR spectroscopy. Methods. Patients suspected of harboring a glioma underwent 3D MR spectroscopy during their preoperative MR imaging examination. Surgical navigation techniques were used to record the location of tissue biopsies collected during open resection of the tumor. A receiver operating curve analysis of the CNI and histological characteristics of specimens at each biopsy location was performed to determine the optimal threshold of the CNI required to separate tumor from nontumorous tissue. Histograms of the CNIs within enhancing and nonenhancing regions of lesions appearing on MR images were generated to determine the spatial distribution of CNIs consistent with tumor. Conclusions. Biopsy samples containing tumor were distinguished from those containing a mixture of normal, edematous, gliotic, and necrotic tissue with 90% sensitivity and 86% specificity by using a CNI threshold of 2.5. The CNIs of nontumorous specimens were significantly different from those of biopsy specimens containing Grade II (p < 0.03), Grade III (p < 0.005), and Grade IV (p < 0.01) tumors. On average, one third to one half of the T-2-hyperintense lesion outside the contrast-enhancing lesion contained CNI greater than 2.5.
引用
收藏
页码:794 / 802
页数:9
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